Location: New York, NY
Cap-Exempt H-1B Position — No lottery required
**About Us** The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Exciting opportunity at MSK: Join the Prostate Cancer Clinical Trials Consortium as a **Data Scientist I** ! The **Prostate Cancer Clinical Trials Consortium** (PCCTC), incubated within Memorial Sloan Kettering (MSK), is seeking a Data Scientist I 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, translating scientific discoveries to improve standards of care. We support this work through biostatistics and data science, data management, reporting, site management, and clinical operations across the clinical study lifecycle. You will develop and support data workflows, reproducible reporting, and R programming solutions for clinical trial and study needs. You will work with our Data Science Team and collaborate across Clinical Operations and Data Management to deliver clear, reliable data outputs. **Role Overview** - Maintain data pipelines for automated data processing suitable for downstream reporting, tabling, and summarizing This role does not involve advanced statistical modeling or machine learning. - Execute and build upon reproducible reports via efficient code for complex tabling and data visualization. - Contribute to internal or external R packages. -