Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism 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 Programmer IV.

Under minimal supervision, the Senior Statistical Programmer provides statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-usable, 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. Central 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.

The Statistical Programmer IV works on complex assignments, shows independence in management of workload and production of quality output, as well as technical expertise that contributes to the programmatic infrastructure of the Statistical Programming group. The Statistical Programmer IV may also mentor and/or supervise junior statistical programmers.

This SCHARP position supports the work of the Vaccine & Immunology Statistical Center (VISC) at Fred Hutch. Since 2005, VISC has partnered with world-class research programs and laboratories to tackle global public health initiatives in HIV, TB, Malaria, and other infectious diseases. VISC is supported by grants from the Bill & Melinda Gates Foundation. VISC works with high-dimensional, next generation sequencing, and multiplex immunological assay data, with the aim of improving our understanding of the immune system and its potential in fighting infectious diseases. VISC's focus encompasses a wide methodological spectrum, ranging from traditional biostatistics to cutting-edge techniques in machine learning and dynamic modeling. Find out more about VISC here (https://ghdiscoverycollaboratory.org/platforms/vaccine-immunology-statistical-center)

Responsibilities

May include some or all of the following:

• 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, lab programmers, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues.
• 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.
• At least five years of experience in R programming, with additional experience in other programming languages, experience using version control tools (e.g. git or svn).
• At least four years of experience in support of clinical trials, in a clinical research setting or other health research setting, or in data wrangling/transformation within a health-related field.
• 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.
• Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
• Knowledge of both SAS and R (including graphics experience) and other programming languages.
• Strong reporting and R package development abilities.
• Advanced R programming skills.
• Ability to use scripting languages for text manipulation and automated job control.

Preferred Qualifications

• Graduate degree in computer science or a scientific, technical, or health-related field.
• 5+ years of statistical programming in a clinical research setting or R programming in a health-related field.
• Knowledge of laboratory and biological assay data.

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.

The annual base salary range for this position is from Level III $94,703 to $149,656 & Level IV $104,416 to $165,006 and pay offered will be based on experience and qualifications.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).

Our Commitment to Diversity