About SyapseSyapse is a real-world evidence company on a mission to improve outcomes for all patients facing serious disease. By integrating complete, longitudinal, and continuously updated real-world patient data, we can provide unique insights into patients'' care journeys. Our advantage derives from a decade of partnership with the world's largest Learning Health Network of innovation-driven ...healthcare systems.Syapse enables providers to operationalize precision medicine and deliver the best care today to their patients while helping life sciences companies and regulators accelerate the development and approval of new therapies for patients tomorrow. Together we are working toward a future in which all patients have access to the best precision care.As a Sr. Data Scientist, you will drive projects that require diving deep into clinical data, completing analyses, and developing pipelines, tools, and R packages. You will collaborate with fellow data scientists, work in close partnership with epidemiologists, and coordinate with other teams including product, engineering, informatics, alliance management, and clinical KOLs.You will execute against multiple deliverables simultaneously in a fast-paced and mission-driven environment. You'll enjoy solving the riddles associated with extracting, manipulating, and structuring data from complicated healthcare concepts into digestible, statistically rigorous insights. As a Research and Analytics Senior Data Scientist, you will develop best practices, work with the data science team to find patterns in cancer care, and help curate the narrative of the data.You will accomplish this by clean, orienting, and deriving data elements from real-world healthcare data through data wrangling, pipeline engineering, algorithmic tooling, and analytical insight for use in research and the Analytical Datasets. You will support the development of data products & other product offerings, serve as a Data Scientist lead on retrospective studies, and develop algorithms to interpret real-world data and derive insights.You will work with real-world data (RWD) and tackle novel RWD challenges, developing R packages and pipelines to codify best practices for interpreting RWD across many domains (biomarker testing, procedures, medications, etc.).This role requires a degree in one of the following fields: Computer Science, Data Science, Statistics, Biostatistics, Epidemiology, Mathematics, Informatics, Genetics, or related. You must have a Bachelor's Degree +7 years or Advanced Degree +4 years professional experience explicitly working with applied data in oncology and/or precision medicine, including structuring data and performing analysis.Key skills include:• Content knowledge• Programming experience with R packages and Tidyverse & Shiny• Demonstrated experience with relational databases, particularly SQL• Knowledge of statistical theory including generating descriptive statistics, data visualization, hypothesis testing, and regression modelingBonus points for demonstrated R package or shiny app development experience, knowledge of survival analysis, established publication history, and strong communication, curiosity, and collaboration skills.This position offers a target base salary of $150,000-$175,000, plus an annual performance bonus, robust benefits, 401k with match, and flexible PTO. Individual pay may vary based on market forces, experience, location, and other factors.Syapse is a nationally distributed, technology-enabled insights company with a Remote First ethos. We prioritize providing a virtual interview experience and opportunities to get to know our company, mission, and teammates in fully remote interviews.
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