Data Engineer
$92.7k - $148.4kMemorial Sloan Kettering Cancer Center
Role Description
Join the Prostate Cancer Clinical Trials Consortium as a Data Engineer! The Prostate Cancer Clinical Trials Consortium (PCCTC) is seeking a Data Engineer to join a collaborative team of clinical investigators and PCCTC staff working together on a single mission: to design, implement, and complete clinical trials and observational studies in prostate cancer.
- Implement and maintain relational database structures for clinical trial data storage in AWS S3, using tools such as DuckDB and/or DuckLake.
- Build and maintain ETL pipelines that ingest data from clinical trial data systems (e.g. EDCs), transforming raw clinical data into organized, versioned, analysis-ready datasets.
- Develop access layers (database connectors, internal R packages or utilities) that enable our R-focused Data Science Team to query and retrieve data efficiently.
- Implement and maintain access management and permissioning structures across data systems, including SharePoint and Airtable.
- Maintain data governance standards, including naming conventions, versioning, and documentation, across our active trial portfolio.
- Collaborate with Clinical Operations and Data Management teams to understand data flows from sites and ensure upstream processes align with downstream analytic needs.
- Use GitHub Enterprise for version control and contribute to CI/CD workflows for pipeline automation where infrastructure allows.
Additionally, we wanted to share a few other tools and concepts that we work with as a team:
- CDISC data standards (SDTM, ADaM) and how clinical trial data is structured.
- DuckDB, DuckLake, or similar analytical database technologies.
- R (you won't need to be an R programmer, but understanding how R users consume data will make you more effective).
- Airtable structure and maintenance.
- SharePoint administration and file system permissioning at scale.
- CI/CD for orchestrating automated data pipelines.
- Clinical trial data lifecycle, from EDC capture through analysis-ready datasets.
Qualifications
- An undergraduate degree, preferably in computer science, data engineering, information systems, or a related field.
- 2–4 years of experience building or maintaining data pipelines, ETL processes, or database systems.
- Working knowledge of SQL and relational database concepts.
- Familiarity with cloud storage (AWS S3 preferred) and infrastructure-as-code principles.
- Experience with access management, permissioning, or user administration across collaborative platforms.
- Exposure to version control (git/GitHub).
- Passion for data and creating reliable systems that empower cancer care and clinical research.
Requirements
- Strong problem-solving and analytical thinking skills with the ability to troubleshoot complex data and system issues.
- Excellent collaboration and communication skills, with the ability to work effectively across technical and non-technical teams.
- Highly organized with strong attention to detail and a commitment to data accuracy, quality, and documentation.
- Ability to manage multiple priorities in a fast-paced environment while meeting deadlines.
- Proactive, adaptable, and eager to learn new technologies and contribute to continuous process improvement.
- Self-motivated and able to work independently in a fully remote environment while remaining an engaged team member.
Benefits
- Location: Remote
- Reporting to the Director, Data Science
- Pay Range: $92,700.00 - $148,400.00
- FSLA Status: Exempt
Company Description
The Prostate Cancer Clinical Trials Consortium (PCCTC) was initiated in 2005 by the Prostate Cancer Foundation (PCF) and the U.S. Department of Defense (DOD) Prostate Cancer Research Program (PCRP) in response to critically unmet needs in prostate cancer clinical research. Established as an independent entity in 2014, the PCCTC, LLC is now the nation’s premier multicenter clinical research organization specializing in cutting-edge prostate cancer research.
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