Data Scientist I, PCCTC

About the role

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. Collaborate with Clinical Operations and Data Management teams to understand emerging trial and business needs, assess available data, and determine how to appropriately summarize and present results. Additionally, we wanted to share a few other tools and concepts that we work with as a team. We are excited to collaborate with you on these areas and also support your continuous development! CDISC, SDTM, and ADaM regulatory requirements & clinical trial design complex & relational data sets building Shiny applications + R packages Key Qualifications: An undergraduate degree, preferably in statistics, data science, computer science, or a related field. A strong working knowledge of R for data wrangling, analysis, and visualization, and preferably have experience using packages from the Tidyverse ecosystem. Exposure to version control (git/GitHub). Knowledge of R Markdown or Quarto. Passion for data and creating new solutions to empower cancer care and clinical research. Core Skills: Strong collaboration skills with the ability to partner effectively across cross-functional teams Excellent communication skills, with the ability to translate complex data into clear, actionable insights Strong problem-solving and critical thinking abilities in a data-driven environment High attention to detail with a commitment to accuracy and data quality Adaptable and proactive, with a growth mindset and interest in continuous learning Additional Information : Location: Remote Schedule: Monday to Friday 9 am to 5 pm EST Reporting to the Senior Data Scientist Helpful Links : Compensation Philosophy