Manager, Data Science- Real World Evidence
at Clarivate
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 22 Sep, 2024 | Not Specified | 22 Jun, 2024 | 7 year(s) or above | R,Analytics,Python,Observational Studies,Economics,Epidemiology,Data Science,Biostatistics,Mathematics,Healthcare Industry,Sql | No | No |
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Description:
OVERVIEW:
We are looking for a highly motivated real world evidence (RWE) Manager of Data Science who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Toronto-based RWE analytics team at Clarivate.
Working closely with the Senior Director, you will lead the team to support and collaborate with our North American, Indian, and European RWD/E analytics and consulting teams to deliver Clarivate’s industry-leading RWD/E analytics services. The ideal candidate has an ability to see solutions in real world data, commercial and clinical datasets, and the business mindset to convert insights into strategic opportunities and action for our customers.
The manager for this team will work closely with leaders across Delivery, Products, Consulting, Solutions and Sales and deliver value to our customers, and join a highly talented and fast paced team.
EXPERIENCE, EDUCATION, SKILLS, AND ACCOMPLISHMENTS
- Advanced degree in epidemiology, biostatistics, economics, mathematics, data science, or equivalent
- 7+ years of experience in pharma, medtech, biotech or healthcare industry, drawing insights from data.
- 7+ years experience working with healthcare and RWD, especially medical and pharma claims, and EHR; experience designing and implementing RWE studies, observational studies, pharma/medtech commercialization analytics use cases (market sizing, reimbursement, payer mix, commercial targeting etc)
- 3+ years managing and mentoring data science teams
- Comfortable with advising and guiding staff on RWE generation methods, observational study design, and statistical methods
- Understanding of and experience using advanced analytical concepts, statistical modeling techniques, predictive and prescriptive analytics
- Well versed in SQL and Python. R is a plus
- Comfortable with code management best practices (e.g. git workflow)
Responsibilities:
- You will manage and grow a team of talented data scientists, epidemiologists, biostatisticians, and data analysts to deliver RWE and advanced analytics projects to our U.S, EU and APAC pharma, MedTech, biotech and healthcare clients.
- Help guide development of analytics accelerators and deployment platforms to speed up and scale analytics services.
- Work with the Sr. Director and other leads to provide “white-glove” analytics consulting services, defining client needs and ensure client satisfaction through on-time delivery of high-quality services.
- Identify appropriate data and methodologies to answer client questions and interpreting results.
- Plan, organize and manage resources to bring about the successful completion of client’s project goals and objectives.
- Contribute to and guide junior data scientists and analysts in the development of machine learning and other advanced analytics solutions for improving RWD-based analytics and evidence/insight generation
- Be the trusted advisor, guide, and coach to help your team navigate challenging RWD/E analytics problems and client challenges
REQUIREMENT SUMMARY
Min:7.0Max:12.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Economics, Mathematics
Proficient
1
Toronto, ON, Canada