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6 Days Ago
USA
Remote
203 Employees
7+ Years of Experience
203 Employees
7+ Years of Experience
Big Data • Information Technology
The Director of Quality Improvement Programs at Syapse leads the Applied Experience initiative, leveraging data to enhance patient care in oncology. Responsibilities include refining service offerings, supporting business development, and collaborating with teams to showcase the impact of projects. This role involves program management, strategy definition, and extensive interaction with stakeholders across the healthcare landscape.
10 Days Ago
USA
Remote
203 Employees
155K-185K Annually
7+ Years of Experience
203 Employees
155K-185K Annually
7+ Years of Experience
Big Data • Information Technology
As an Associate Director of Epidemiology at Syapse, you will be responsible for designing and implementing observational research studies using real-world data to drive insights for customer needs. You will collaborate with cross-functional teams and external partners to advance the practice of precision medicine in cancer. The role requires a PhD in epidemiology, expertise in RWD study design and execution, and proficiency in data analysis using tools like R, Python, and SQL.
19 Days Ago
USA
Remote
203 Employees
200K-250K Annually
7+ Years of Experience
203 Employees
200K-250K Annually
7+ Years of Experience
Big Data • Information Technology

About Syapse

Syapse 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 syste...

20 Days Ago
USA
Remote
203 Employees
150K-175K Annually
7+ Years of Experience
203 Employees
150K-175K Annually
7+ Years of Experience
Big Data • Information Technology
As a Sr. Data Scientist at Syapse, you will be responsible for driving 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.
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