Biostatistics, Bioinformatics and Epidemiology Job Openings

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   

We have an opening for a Bioinformatician I in the Bedford lab to work on genomic epidemiology and evolutionary analysis of pathogens including SARS-CoV-2, influenza and Ebola virus. This position will contribute to ongoing work on two major projects: Nextstrain and Seattle Flu Study.

Nextstrain is an award-winning tool for tracking infectious disease epidemics developed in collaboration with the Neher lab at the University of Basel. Nextstrain won the Open Science Prize in Feb 2017 and has been instrumental in analysis of the SARS-CoV-2 pandemic, Ebola outbreaks, Zika spread in the Americas and is used by the World Health Organization to aid in the process of influenza vaccine strain selection.

The Seattle Flu Study is a collaboration of groups at the Brotman Baty Institute, the Fred Hutch, the University of Washington, and Seattle Children’s. Already in its third year, this study has produced high-resolution analyses of the spread of SARS-CoV-2 and influenza in Seattle by building a software platform that processes subject and sample metadata, lab assay results, and raw and processed genome data in near-real time.

Responsibilities

The role involves both development and maintenance of bioinformatic analyses and pipelines which underpin both projects’ research aims. This will involve a mixture of independent work, collaboration with scientists in the group and interactions with the wider community. The vast majority of code is open-source. Specific examples from Nextstrain include analytic pipelines that clean and ingest genome metadata, construct consensus genomes, and build phylogenetic trees, as well as tools to enable a diverse range of collaborators to run SARS-CoV-2 analyses through Nextstrain.

Work on Seattle Flu Study focuses on pipelines to assemble raw sequence data into consensus SARS-CoV-2 and influenza genomes and deposition of these consensus genomes to public databases.

Interfacing with project collaborators in-person and online is a key aspect of this position. The bioinformatician will work within a small team of existing members of the Bedford lab and the larger research group of the Seattle Flu Study. The Nextstrain team communicates openly about project and organizational decisions and encourages participation by all team members in the decision-making process.

Qualifications

MINIMUM QUALIFICATIONS:

• Proficient in at least one high-level programming language, such as Python, R, Ruby, JavaScript or Perl
• Knowledge of molecular biology
• Knowledge of Biostatistics, Bioinformatics or Computational Biology
• Knowledge of working in a lab environment
• Motivated to learn new skills and technologies
• Execellent written and verbal communication skills

PREFERRED QUALIFICATIONS:

• Expertise in genomics
• Experience writing biostatistic analysis programs with biological decisions
• BS degree in a Biology discipline
• Experience with pipeline or workflow automation
• Familiarity with software development best practices
• Experience configuring and deploying analyses on a cloud infrastructure
• Experience and willingness to participate in team decision-making processes
  
  

To be considered for this position:

• Candidates must provide a coding sample by submitting it with their application.
• The hiring team will review any programming language you choose.
• Please provide either a zipped up project included as an "additional attachment" OR,
• Please provide a link to a specific repo online by attaching a short statement pointing to the URL of this repo as an "additional attachment" to your application.
• Please name this zip archive / file as "last name_job ID_coding sample".
• If you don't have code that can be publicly shared, please notate this in your application. 

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research and COVID-19 vaccine development. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Research Associate III-IV. Statistical Research Associate provides statistical support in the planning, operations, monitoring, analytic, and exploratory stages of clinical trials and research.

Responsibilities

May include some or all of the following:

• Collaborate with PhD statisticians/epidemiologists, Statistical Research Associates (SRAs), laboratory scientists, laboratory data managers, and other subject-matter experts to provide statistical support for clinical studies and research projects or laboratory data and analyses including statistical considerations and planning (power and sample size calculations), randomization lists, consultation, study data analyses, and written summaries and tables of results for use in study reports - for example, Data and Safety Monitoring Boards or other interim review meetings, scientific abstracts and manuscripts, and/or tables in support of a Clinical Study Report for submission.
• Contribute to and review study documents including protocol drafts, statistical analysis plans, case report forms, and other documents as required.
• Collaborate with data management and operations in the development of quality assurance procedures for on-going data collection, cleaning and analysis - such as establishing edit checks, or HIV endpoint verification.
• Participate in verification of standard reports prepared by programmers or other team members.
• Apply and adhere to CDISC data standards and guidelines where required in the production of analysis datasets and reports; assist in the production of supporting CDISC documentation for submissions (Define.xml, Reviewer’s Guides).
• Generate written summaries for use in customized statistical lab reports.
• Participate in protocol team conference calls and meetings, organizational meetings, interim data review meetings, scientific meetings, regional meetings and internal team meetings as required.
• Maintain functional understanding of standard policies and procedures and complete required training in a timely manner; Contribute to the development and maintenance of standard procedures and related quality documents.
• Participate in internal project initiatives which may include developing new tools and processes, evaluating new statistical software packages, or exploring other value-added team activities.
• Represent SCHARP and the data analytics unit at professional meetings.
• Mentor or formally supervise more junior SRAs as required. Conduct performance reviews of direct reports.
• Perform other responsibilities as required.

Qualifications

MINIMUM QUALIFICATIONS:

Level III

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience.
• A minimum of 3 years of related work experience is required.
• Proficiency with the SAS or R (as required by specific team/project).
• Demonstrated knowledge of general statistical practice within clinical trials.
• Thorough understanding of statistical programming process and best practices.
• Functional understanding of GCP and regulatory requirements.
• Proven track record of collaboration with internal colleagues.
• Strong oral and written communication skills.

Level IV

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience.
• A minimum of 4 years of related work experience is required.
• High-level proficiency with the SAS or R (as required by specific team/project).
• Demonstrated functional knowledge of general statistical practice within clinical trials.
• Thorough understanding of statistical programming process and best practices.
• Minimum of 1 year of experience in a senior, lead or management role.
• Minimum of 1 year of experience statistical project management.
• Strong oral and written communication skills.
• Strong organizational and multi-tasking skills.
• Functional understanding of GCP and regulatory requirements.
• Proven track record of collaboration with internal and external partners.

PREFERRED QUALIFICATIONS:

Level III

• 4+ years of relevant work experience.
• Demonstrated specialized knowledge of statistical practice within network specialization.
• Proven track record of collaboration with external collaborators.

Level IV

• 5+ years of relevant work experience.
• Demonstrated specialized knowledge of statistical practice within network specialization.
• Proven track record of collaboration with external collaborators.
• 2+ years of experience in a senior, lead or management role.
• 2+ years of experience in statistical project management.
• Functional understanding of network needs and objectives.
• Able to lead network-specific statistical tasks with minimal supervision.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research and COVID-19 vaccine development. Within SCHARP, the Vaccine Immunology Statistical Center (VISC) Collaboration for AIDS Vaccine Discovery  partners with world-class research programs to tackle global public health initiatives in infectious disease. The center operates within two global research networks: the Collaboration for AIDS Vaccine Discovery (CAVD) and the  Global Health Vaccine Accelerator Platforms(GH-VAP).

The VISC is seeking a Statistical Research Associate II-III. Statistical Research Associate provides statistical support across a breadth of applications including early phase clinical trials, surrogate/correlates analyses, single cell data, immunoassay development, pharmacokinetics/pharmacodynamics, passive immunization studies, and pre-clinical research. 

Responsibilities

May include some or all of the following:

Level II

• Collaborate with PhD statisticians/epidemiologists, Statistical Research Associates (SRAs) and programmers (STPs), project managers, laboratory scientists, and other subject-matter experts to provide statistical support for laboratory data analyses from preclinical and clinical studies.
• Generate professional and reproducible reports for distribution to external clients, including writing methods, results, and summaries.
• Participate in analysis data specifications, code and/or writing review, and verification of reports prepared by programmers, statisticians, or other team members.
• Contribute to and review study documents including protocol drafts, statistical analysis plans, scientific abstracts and manuscripts, and other documents as required.
• Participate in protocol team meetings, organizational meetings, scientific meetings, and internal team meetings as required.
• Participate in internal project initiatives which may include developing new tools and processes, evaluating new statistical software packages, or exploring other value-added team activities.
• Maintain functional understanding of standard policies and procedures and complete required training in a timely manner; Contribute to the development and maintenance of standard procedures and related quality documents.
• Represent VISC and SCHARP at professional meetings.
• Mentor more junior SRAs as required.
• Perform other responsibilities as required.

Level III

• All level II responsibilities.
• Mentor or formally supervise more junior SRAs as required. Conduct performance reviews of direct reports.

Qualifications

MINIMUM QUALIFICATIONS:

Level II

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience.
• A minimum of 1 year of related work experience is required.
• Proficiency with R.
• Functional understanding of GCP and regulatory requirements.
• Proven track record of collaboration with internal colleagues.
• Strong oral and written communication skills.

Level III

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience.
• A minimum of 3 years of related work experience is required.
• Proficiency with R.
• Demonstrated knowledge of general statistical practice within clinical trials.
• Thorough understanding of statistical programming process and best practices.
• Functional understanding of GCP and regulatory requirements.
• Proven track record of collaboration with internal colleagues.
• Strong oral and written communication skills.

PREFERRED QUALIFICATIONS:

Level II

• 2+ years of related work experience.
• Experience with laboratory assay data.
• Experience with R-markdown.
• Experience with Git, GitHub, or other version control software.
• Demonstrated elementary knowledge of statistical practice within clinical trials.
• Functional understanding of statistical programming process and best practices.

Level III

• 4+ years of relevant work experience.
• Experience with laboratory assay data.
• Experience with R-markdown.
• Experience with Git, GitHub, or other version control software.
• Demonstrated specialized knowledge of statistical practice for laboratory assay data.
• Proven track record of collaboration with external collaborators.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Research Associate level III/IV.

Responsibilities

The Statistical Research Associate III/IV provides low advanced-level statistical support in the planning, operations, monitoring, analytic, and exploratory stages of clinical trials and research. Job duties may include some or all of the following:

• Collaborate with PhD statisticians/epidemiologists, SRAs, laboratory scientists, laboratory data managers, and other subject-matter experts to provide statistical support for clinical studies and research projects or laboratory data and analyses including statistical considerations and planning (power and sample size calculations), randomization lists, consultation, study data analyses, and written summaries and tables of results for use in study reports - for example, Data and Safety Monitoring Boards or other interim review meetings, scientific abstracts and manuscripts, and/or tables in support of a Clinical Study Report for submission
• Contribute to and review study documents including protocol drafts, statistical analysis plans, case report forms, and other documents as required
• Collaborate with data management and operations in the development of quality assurance procedures for on-going data collection, cleaning and analysis - such as establishing edit checks, or HIV endpoint verification
• Participate in verification of standard reports prepared by programmers or other team members
• Apply and adhere to CDISC data standards and guidelines where required in the production of analysis datasets and reports; assist in the production of supporting CDISC documentation for submissions (Define.xml, Reviewer’s Guides)
• Generate written summaries for use in customized statistical lab reports
• Participate in protocol team conference calls and meetings, organizational meetings, interim data review meetings, scientific meetings, regional meetings and internal team meetings as required
• Maintain functional understanding of standard policies and procedures and complete required training in a timely manner; Contribute to the development and maintenance of standard procedures and related quality documents
• Participate in internal project initiatives which may include developing new tools and processes, evaluating new statistical software packages, or exploring other value-added team activities
• Represent SCHARP and the data analytics unit at professional meetings
• Mentor or formally supervise more junior SRAs as required. Conduct performance reviews of direct reports
• Perform other responsibilities as required

Qualifications

Minimum qualifications:

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience
• A minimum of 3 year of related work experience is required
• Proficiency with the SAS or R (as required by specific team/project)
• Demonstrated elementary knowledge of statistical practice within clinical trials
• Practical understanding of statistical programming process and best practices
• Functional understanding of GCP and regulatory requirements
• Proven track record of collaboration with internal colleagues
• Strong oral and written communication skills
• Intermediate level proficiency with statistical software packages such as SAS and/or R               

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Research Associate level II-IV.

Responsibilities

The Statistical Research Associate provides low advanced-level statistical support in the planning, operations, monitoring, analytic, and exploratory stages of clinical trials and research. Job duties may include some or all of the following:

• Collaborate with PhD statisticians/epidemiologists, SRAs, laboratory scientists, laboratory data managers, and other subject-matter experts to provide statistical support for clinical studies and research projects or laboratory data and analyses including statistical considerations and planning (power and sample size calculations), randomization lists, consultation, study data analyses, and written summaries and tables of results for use in study reports - for example, Data and Safety Monitoring Boards or other interim review meetings, scientific abstracts and manuscripts, and/or tables in support of a Clinical Study Report for submission
• Contribute to and review study documents including protocol drafts, statistical analysis plans, case report forms, and other documents as required
• Collaborate with data management and operations in the development of quality assurance procedures for on-going data collection, cleaning and analysis - such as establishing edit checks, or HIV endpoint verification
• Participate in verification of standard reports prepared by programmers or other team members
• Apply and adhere to CDISC data standards and guidelines where required in the production of analysis datasets and reports; assist in the production of supporting CDISC documentation for submissions (Define.xml, Reviewer’s Guides)
• Generate written summaries for use in customized statistical lab reports
• Participate in protocol team conference calls and meetings, organizational meetings, interim data review meetings, scientific meetings, regional meetings and internal team meetings as required
• Maintain functional understanding of standard policies and procedures and complete required training in a timely manner; Contribute to the development and maintenance of standard procedures and related quality documents
• Participate in internal project initiatives which may include developing new tools and processes, evaluating new statistical software packages, or exploring other value-added team activities
• Represent SCHARP and the data analytics unit at professional meetings
• Mentor or formally supervise more junior SRAs as required. Conduct performance reviews of direct reports
• Perform other responsibilities as required

Qualifications

Minimum qualifications:

Level II

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience.
• SRA II A minimum 2 years of work experience is required
• Proficiency with the SAS or R (as required by specific team/project)
• Demonstrated knowledge of general statistical practice within clinical trials
• Thorough understanding of statistical programming process and best practices
• Functional understanding of GCP and regulatory requirements
• Proven track record of collaboration with internal colleagues
• Strong oral and written communication skills

Level III

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience
• A minimum of 3 years of related work experience is required
• Proficiency with the SAS or R (as required by specific team/project)
• Demonstrated knowledge of general statistical practice within clinical trials
• Thorough understanding of statistical programming process and best practices
• Functional understanding of GCP and regulatory requirements
• Proven track record of collaboration with internal colleagues
• Strong oral and written communication skills

Level IV

• MS or PhD degree in Statistics or Biostatistics or related field with demonstrated work experience
• A minimum of 4 years of related work experience is required
• High-level proficiency with the SAS or R (as required by specific team/project)
• Demonstrated functional knowledge of general statistical practice within clinical trials
• Thorough understanding of statistical programming process and best practices
• Minimum of 1 year of experience in a senior, lead or management role
• Minimum of 1 year of experience statistical project management
• Strong oral and written communication skills
• Strong organizational and multi-tasking skills
• Functional understanding of GCP and regulatory requirements
• Proven track record of collaboration with internal and external partners

Preferred qualifications:

Level II

• 4+ years of relevant work experience
• Demonstrated specialized knowledge of statistical practice within network specialization
• Proven track record of collaboration with external collaborators

Level III

• 4+ years of relevant work experience
• Demonstrated specialized knowledge of statistical practice within network specialization
• Proven track record of collaboration with external collaborators

Level IV

• 5+ years of relevant work experience
• Demonstrated specialized knowledge of statistical practice within network specialization
• Proven track record of collaboration with external collaborators
• 2+ years of experience in a senior, lead or management role
• 2+ years of experience in statistical project management
• Functional understanding of network needs and objectives
• Able to lead network-specific statistical tasks with minimal supervision

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

Responsibilities

A Postdoctoral Research Fellow position is available immediately in the Biostatistics, Bioinformatics and Epidemiology Program (BBE) of the Vaccine and Infectious Disease Division of the Fred Hutchinson Cancer Research Center. The successful applicant will work primarily on developing cutting-edge statistical methods motivated from high-impact collaborative projects in infectious diseases and cancer prevention, with a range of potential topics, including threshold regression models, kernel machine regression/classification, efficient study designs and methods for panel development towards disease early detection, treatment selection, and surrogate marker evaluation,  statistical methods for experimental assay, and others. The applicant will also have the opportunity to join collaborative projects and analyze large datasets with high public health significance.

Please visit our lab pages for more information: Fong Group and Huang Group.

Qualifications

PhD degree in biostatistics/statistics; strong theoretical background and programming skills; strong oral and written communication skills; strong independent problem solving skills. Excellence in R is required. Proficiency in C/C++ a plus. Experience with missing data methods, variable selection, biomarker evaluation, mixture models, high-dimensional data methods, causal inference, survival analysis, or clinical study design a plus.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research and COVID-19 vaccine development. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Programmer II-III.

Under general supervision, the Statistical Programmer provides statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-suable, and easily maintainable code that access, analyze and report data descriptive and analyses. The incumbent primarily uses R; additional statistical and analytical software programs are used as needed. Core to the role is the ability to communicate effectively, work collaboratively with colleagues and be responsive to the needs of both internal and external customers within an environment of mutual cooperation and respect.

Responsibilities

Responsibilities will include a subset of the following, based on network(s) supported:

Level II

• Gather and document requirements for developing or modifying existing programs and systems.
• Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications.
• Generate, document, and maintain analysis datasets.
• Develop scripts for wrangling / data transformation and standardizing assay datasets.
• Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC).
• Test and de-bug programs and maintain version control on production programs and scripts.
• Support development of and updates to work instructions (WIs) and standardization of processes.
• Maintain automation of routine analysis data and reporting tasks.
• Contribute to good programming practices, and cross-group programming initiatives and code libraries.
• Work with clinical programmers, labs, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues.
• Develop scripts for wrangling / data transformation and standardizing assay datasets.
• Gather and document requirements for developing or modifying existing programs and systems.
• Define and edit analysis dataset specifications.

Level III

• All level II responsibilities.
• May perform cross-study reporting.
• Design and develop work instructions (WIs) and updates to existing WIs.
• May coordinate efforts to standardize WIs or processes across studies.
• Develop and maintain automation of routine analysis data and reporting tasks.
• Contribute to good programming practices and cross-group programming initiatives and code libraries. 
• Contribute to mentoring and training of junior Statistical Programmers and may supervise as needed.

Qualifications

MINIMUM QUALIFICATIONS:

Level II

• Bachelor’s degree in Computer Science or a scientific, technical, or health-related field.
• Two years of experience as an R programmer on PC/Unix platform; Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support; experience using version control tools (e.g. git or svn).
• Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
• Demonstrated ability to multi-task and appropriately prioritize work assignments.
• Experience in data wrangling / transformation, preferably within a health-related field.
• Knowledge of and experience with statistical analyses.
• Reporting and R package development abilities.

Level III

• Bachelor’s degree in Computer Science or a scientific, technical, or health-related field.
• At least four years of experience as SAS or R programmer on PC/Unix platform; Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support; R programmers will have experience using version control tools (e.g. git or svn).
• Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
• Demonstrated ability to multi-task and appropriately prioritize work assignments.
• Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field.
• Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
• Advanced SAS or R programming skills.
• Strong reporting and SAS macro or R package development abilities.
• Knowledge of SAS or R (including graphics experience) and other programming languages.
• Ability to use Perl or other scripting languages for text manipulation and automated job control.

PREFERRED QUALIFICATIONS:

Level II

• Knowledge of biological assay data.
• Advanced R programming skills.
• Ability to use Perl or other scripting languages for text manipulation and automated job control.
• Knowledge of both SAS and R (including graphics experience) and other programming languages.
• Knowledge of CDISC standards (SDTM and ADaM).
• Knowledge of and experience with biostatistics or statistical analyses in a clinical trial setting.

Level III

• Graduate degree in computer science or a scientific, technical, or health-related field.
• Knowledge of CDISC standards (SDTM and ADaM).
• Experience using version control tools.
• Knowledge of laboratory and biological assay data.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research and COVID-19 vaccine development. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Programmer Level II-III to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-suable, and easily maintainable code that access, analyze and report data descriptives and analyses. The incumbent primarily uses SAS or R; additional statistical and analytical software programs are used as needed. Core to the role is the ability to communicate effectively, work collaboratively with colleagues and be responsive to the needs of both internal and external customers within an environment of mutual cooperation and respect.

Responsibilities

• Gather and document requirements for developing or modifying existing programs and systems
• Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications
• Generate, document, and maintain analysis datasets
• Develop scripts for wrangling / data transformation and standardizing assay datasets
• Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); may perform cross- study reporting
• Test and de-bug programs and maintain version control on production programs and scripts
• Design and develop new work instructions (WIs) and updates to existing WIs.
• May coordinate efforts to standardize WIs or processes across studies
• Develop and maintain automation of routine analysis data and reporting tasks
• Contribute to good programming practices, and cross-group programming initiatives and code libraries
• Work with clinical programmers, labs, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues
• May contribute to mentoring and training of junior Statistical Programmers and may supervise as needed

Qualifications

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science or a scientific, technical, or health-related field
  • Level II: Two years of experience as SAS or R programmer on PC/Unix platform; Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support; R programmers will have experience using version control tools (e.g. git or svn)
  • Level III: At least four years of experience as SAS or R programmer on PC/Unix platform; Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support; R programmers will have experience using version control tools (e.g. git or svn)
• Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams
• Demonstrated ability to multi-task and appropriately prioritize work assignments
• Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field
• Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting
• Strong reporting and SAS macro or R package development abilities

Additional Minimum requirement for Level III

• Advanced SAS or R programming skills
• Knowledge of SAS or R (including graphics experience) and other programming languages
• Ability to use Perl or other scripting languages for text manipulation and automated job control

PREFERRED QUALIFICATIONS

• Graduate degree in computer science or a scientific, technical, or health-related field
• Knowledge of CDISC standards (SDTM and ADaM)
• Experience using version control tools
• Knowledge of laboratory and biological assay data

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first and largest cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network (HVTN). Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   

The Biostatistics, Bioinformatics and Epidemiology Program with the Vaccine and Infectious Disease Division (VIDD) of Fred Hutch are seeking a Senior Staff Scientist to conduct quantitative science design and data analysis for HVTN studies and related infectious disease studies including Coronavirus Prevention Network (CoVPN) trials and other studies led by VIDD faculty members.  Statistical, bioinformatics, and computational biology analyses of infectious diseases study data will constitute a core research activity, which includes the analysis of biosequence data, immunology data, and virology data, especially but not exclusively collected from vaccine clinical trials. 

Responsibilities

The Senior Staff Scientist will contribute to the HVTN and CoVPN research agendas through independent and collaborative research resulting in publications and presentations.

The incumbent may perform some or all of the following responsibilities:

• Contribute to vaccine and infectious disease science through investigator-initiated and collaborative research resulting in presentations and publications.
• Provide quantitative science leadership for the design of data analysis plans and for the implementation/execution of the plans.
• Develop statistical/bioinformatics methodology for the analysis of infectious disease data sets, including development and promotion of software tools for the research community.
• Mentor junior quantitative scientists (e.g., staff scientist faculty, masters-level statisticians, doctoral students) as opportunity arises, most commonly through team science projects.
• Contribute to preparation of new grant requests and annual progress reports.
• Contribute to training and education of early-career HVTN-associated investigators as opportunity arises.
• Maintain current knowledge of and contribute to advancements in the HIV vaccine research field and in other vaccine and infectious disease research fields through participation (and potentially leadership) in professional organizations, scientific conferences, reading industry journals, and publication of manuscripts.
• Perform other tasks as required.

Qualifications

MINIMUM QUALIFICATIONS:

• A successful candidate will have a Ph.D. in biostatistics, statistics, applied mathematics, computational biology, or related field.  

PREFERRED QUALIFICATIONS:

• Prior knowledge of immunology, infectious diseases (e.g.,  HIV, SARS-CoV-2), vaccine research, and biosequence analysis would be a plus.
• The ideal candidate will have experience in the analysis of biosequence and immunology data with translational science applications, and also have experience in the development of new statistical/computational methodology in this application area.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Biostatistics, Bioinformatics and Epidemiology Program within the Vaccine and Infectious Disease Division of Fred Hutch is seeking a Staff Scientist to serve as Protocol Statistician in support of the HIV Prevention Trials Network (HPTN) protocols, collaborate with scientists within the HPTN and develop creative solutions to statistical issues that arise within the HPTN. The mission of the HPTN is to identify acceptable, feasible, safe, effective, and scalable interventions for HIV prevention that address the needs of populations at risk in the US and around the world.  Design strategies encompass both Phase 1-3 randomized trials for biomedical agents and implementation trials.

HIV disproportionately impacts the global South and racial and gender minorities in the US; current HPTN studies are based in southern Africa, MSM and transgender in the US, Latin America and Asia, and people who inject drugs in the US.  We welcome applications that recognize the impact of HIV on these communities.

Responsibilities

The Staff Scientist will contribute to the HPTN research agenda through independent and collaborative research. The incumbent may perform some or all of the following responsibilities:

• Contribute to science for the prevention of HIV through independent and collaborative research resulting in presentations and publications.
• Provide statistical leadership in protocol development, monitoring and reporting, including responsibility for data safety and monitoring reports.
• Mentor masters-level statisticians as necessary.
• Author and lead analyses based on protocol data, and contribute to the preparation of manuscripts
• Contribute statistical methods development arising from problems in HPTN science
• Maintain current knowledge of and contribute to advancements in the HIV prevention research field through participation in professional organizations, scientific conferences, reading industry journals, and publication of manuscripts
• Perform other tasks as required

Qualifications

• A successful candidate will have a Ph.D. or equivalent in biostatistics, epidemiology, or applied statistics is required. 
• Experience working with geographically diverse collaborative groups within a clinical research environment preferred
• Prior knowledge of clinical trials, infectious diseases (e.g. polio, TB, HIV, etc.), and implementation science preferred
• Experience in both early- and late-phase clinical trials, and/or broad applied statistical methodological experience preferred

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first and largest cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Biostatistics, Bioinformatics and Epidemiology Program (BBE) within the Vaccine and Infectious Disease Division (VIDD) of Fred Hutch is seeking a Staff Scientist to serve as Protocol Statistician in support of the Infectious Diseases Clinical Research Consortium (IDCRC) protocols, collaborate with scientists within the IDCRC Program and develop creative solutions to statistical issues that arise.

Responsibilities

Responsibilities :
The incumbent may perform some or all of the following responsibilities:

• Contribute to infectious disease prevention and treatment science through independent and collaborative research resulting in presentations and publications
• Provide statistical leadership in protocol development, monitoring, and reporting
• Develop statistical analysis plans and perform and oversee appropriate statistical analyses
• Mentor masters-level statisticians as necessary
• Contribute to preparation of new grant requests and annual progress reports
• Maintain current knowledge of and contribute to the coordinated national and global network of scientific experts working to develop and test vaccines, and other therapies to combat infectious diseases, particularly to respond rapidly to newly emerging infectious disease threats. This can be done by participation in professional organizations, scientific conferences, reading industry journals, and publication of manuscripts
• Perform other tasks as required

Qualifications

Required:

• A successful candidate will have a Ph.D. in biostatistics, epidemiology, or applied statistics
• Please submit a research statement of interest with your application

Preferred:

• Experience working with geographically diverse collaborative groups within a clinical research environment desired
• Prior knowledge of immunology, infectious diseases (e.g., polio, TB, HIV, etc.), and vaccine research would be a plus
• The ideal candidate will have experience in both early- and late-phase clinical trials, and/or broad statistical methodological experience

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

The Vaccine Immunology Statistical Center (VISC) partners with world-class research programs to tackle global public health initiatives in infectious disease. The VISC delivers statistical support across a breadth of applications including early phase clinical trials, surrogate/correlates analyses, single cell data, immunoassay development, pharmacokinetics/pharmacodynamics, passive immunization studies, and pre-clinical research. In addition to providing support through study design and analysis, the VISC is also dedicated to developing statistical methods and computational tools for biomedical applications. The center operates within two global research networks: the Collaboration for AIDS Vaccine Discovery (CAVD) and the Global Health Vaccine Accelerator Platforms (GH-VAP). The VISC has additional dedication to open science exemplified by their DataSpace web application.

The VISC is seeking a PhD-level Staff Scientist in biostatistics, computational biology or related fields to contribute to the networks’ research agenda through both independent and collaborative research. The ideal candidate will excel at project leadership in a team environment, collaborating with laboratory-based scientists, clinical investigators, biostatisticians, data scientists, and programmers in the following ways:

• As a consultant, providing project-level statistical support and management.
• As a statistical researcher, developing novel methodologies for analyzing data from clinical and pre-clinical studies.

Responsibilities

• Contributing to science through independent and collaborative research including co-authoring papers, technical reports, and protocols
• Serving as lead statistician on preclinical and clinical studies, with responsibilities ranging from designing studies, developing statistical analysis plans, participating in data analysis and preparing statistical reports
• Managing and setting scientific priorities across projects
• Communicating results to partners and presenting research at conferences and consortium meetings
• Leading efforts to extend and develop novel statistical methodologies
• Mentoring junior statisticians

Qualifications

Minimum qualifications:

• PhD or equivalent degree in biostatistics, computational biology, epidemiology, or applied statistics with demonstration of applied statistical experience
• Experience with statistical programming (e.g., R, Python)
• Excellent interpersonal, oral and written communication skills
• Ability and desire to work both independently and in a collaborative team environment
• Strong project management skills including the ability to manage multiple projects and to meet deadlines

Preferred qualifications:

• Prior knowledge of immunology, HIV or other infectious diseases, and vaccine research
• Experience in at least one of the following areas: design and analysis of pre-clinical studies or early-phase clinical trials
• Experience implementing reproducible research, including sharing code and using version control software

Please include a cover letter with your application, detailing your interest and suitability for this position.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.