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Programming Supervisor, SCHARP

Programming Supervisor, SCHARP

Job ID 
Regular Full-Time
Fred Hutchinson Cancer Research Center
Biostatistics, Bioinformatics and Computational Biology

More information about this job


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. Careers Start Here.


The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) at the Fred Hutchinson Cancer Research Center provides statistical collaboration to infectious disease researchers around the world and conducts a complementary program of statistical methodology, and mathematical modeling research. SCHARP also collects, manages, and analyzes data from clinical trials and epidemiological studies dedicated to the elimination of infectious disease as a threat to human health.


We are looking for an experienced, energetic and collaborative Programming Supervisor to join the Laboratory Data Operations (LDO) section of the SCHARP Data Management Unit. LDO programmers provide support for management, reporting, and analysis of specimen and laboratory assay data by developing and maintaining code, building workflows to facilitate data submission and creating analysis datasets and reports. The Lab Data Programming Supervisor is responsible for directly managing 5-8 systems analysts/programmers and will work with the section manager to provide leadership for the entire LDO team. This includes developing policies, procedures and best practices; managing resources, performance and priorities; mentoring junior staff; overseeing process improvement projects and participating in recruiting and training of new employees. The incumbent will work under minimal supervision in a team environment and is expected to communicate effectively with colleagues and be responsive to the needs of SCHARP staff as well as external collaborators as required.


  1. In collaboration with other LDO supervisors, work with the LDO manager to provide team leadership; manage resources, recruit new staff, evaluate progress and priorities, develop new workflows or methodologies and other opportunities for team growth; serve as acting manager as needed
  2. Supervise a programming team of 5-8 staff; provide training and mentoring, oversee workloads, guide process development, manage performance-related issues, and conduct performance reviews
  3. Manage projects and deliverables; monitor milestones and timelines, allocate resources as needed, communicate with stakeholders about progress, priorities and workload capacity
  4. Serve as a representative of the LDO group internally and externally; act as a liaison between SCHARP study teams and external partners to ensure accurate and timely receipt/delivery of study results.
  5. Provide technical oversight for LDO programmers; develop and support best practices for programming; establish policies, procedures and methods that support scientific and academic excellence and oversee associated process/infrastructure improvements
  6. Collaborate with other SCHARP groups to develop and maintain standard programming quality practices including code standardization, verification and validation efforts and associated documentation; contribute to adoption of CDISC standards as applicable
  7. Standardize work practices across studies where practical; participate in within-group and cross-group standardization efforts; ensure work practices are documented, and support the maintenance and updates of existing documentation (SOPs and WPGs).
  8. Provide training within the group and for other SCHARP groups; coordinate resources for cross-training efforts; identify and support opportunities for enhancing knowledge, skills and abilities
  9. Facilitate regular team meetings to communicate decisions and identify and address issues that may impact the team; coordinate with other programming groups to identify and address common issues
  10. In support of study-specific procedures, network requirements and LDO programmer requirements: work with SCHARP statisticians and external labs to define specifications for data transfer, quality checks and formatting for analysis; Create, maintain and/or modify programs to identify and resolve data discrepancies related to study specimens or assay results


Minimum Qualifications:

  • Demonstrated leadership capabilities and supervisory experience
  • 1-2 years’ experience in a supervisory role
  • 3-4 years’ programming experience with SAS, Stata, R, or Python
  • Bachelor’s or Master’s Degree in a job-related area
  • Educational background in biological sciences, computer science, programming, or statistics
  • Excellent oral and written communication skills.


Preferred Qualifications:

  • Experience with SAS statistical software is highly desirable, preferably on a Unix platform.
  • Previous laboratory data management experience
  • Familiarity with clinical trials, laboratory assays related to HIV prevention research including immunogenicity, pharmacokinetic or HIV diagnostic assays
  • Experience with data management and programming support of clinical trials, statistical programming, or other scientific research programming support
  • Demonstrated experience or certification in database development, SQL, SAS, Java, JavaScript, Perl, Python and/or R
  • Experience with code/software testing and verification and/or writing validation documentation
  • History applying the Software Development Life Cycle in a professional setting.



Please include a cover letter when applying for this position either as an additional attachment on your profile or merged into the file that contains your resume.

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