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.
The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is seeking a Lab Programmer II. Under general supervision of the Lab Programming Supervisor or Manager, the Lab Programmer provides programming support for Lab data management, reporting, and analysis needs of SCHARP. The Lab Programmer works in a team environment to support the overall mission of SCHARP. Core to the role is communicating effectively with team members and being responsive to the needs of various constituents inside and outside of the Division.
The Lab Programmer will provide programming support for Lab Data Management services that include work with SCHARP analysis teams, external labs, and Network partners. Lab Data Management services focus on processing Assay and Specimen Data. The Lab Programmer will assist the team in building, maintaining, processing, and troubleshooting all aspects of our production assay data pipelines. The Lab programmer will also support and monitor specimen data reconciliation as well as take on team projects to improve team processes and code. Responsibilities may include:
- Gather and document requirements for developing or modifying existing programs and systems and defining file specifications for data transfer and necessary edit checks and transformations to meet user needs.
- Create, setup, test, and maintain Assay data pipelines for analysis.
- Create, setup, test, and maintain Specimen data reconciliation process.
- Work with SCHARP and external lab staff to resolve discrepancies between protocol expectations, case report form data, assay data, and specimen data.
- Test and de-bug programs and maintain version control on production programs and scripts.
- Create, test, document, and maintain SCHARP quality control checks.
- Create, test, document, and maintain ad hoc, standard, and study-specific reports.
- Support development of new or updates to work instructions (WIs) and standardization of processes (SOPs).
- Train external users on data upload procedures and data submission best practices.
- Ability to troubleshoot and resolve lab programming-related issues.
- Take initiative and lead team projects in best practices or process improvements.
- Apply best programming practices and collaborate with team members.
- Ability to work under pressure and juggle multiple projects.
- Perform other duties as required or assigned.
- Bachelor's degree in Computer Science or similar degree in a scientific, technical, or health-related field or additional programming training, skill, or experience.
- Two years' experience in Python, SAS or any object-oriented programming language on Linux/Unix platform.
- Ability to work independently and communicate effectively as part of a project team.
- Ability to learn new programming skills as needed.
- Basic SAS experience.
- Basic Database Design and SQL experience.
- Basic SVN experience or any major source control application experience.
- Basic JIRA experience or any major ticket tracking application.
- Knowledge of and experience in programming support of clinical trials, statistical programming, or other scientific research programming support.
- Experience reading, parsing and transforming lab instrument data files programmatically.
- Experience reading, parsing and creating Excel files programmatically.
- Knowledge of laboratory procedures for assays, and work with laboratories to receive assay results.
- Understanding of computerized systems validation.