Job Description

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 Bangalore-based RWE analytics team at Clarivate. Working closely with the Director of Analytics, you will lead the team to support and collaborate with our North American, and European RWD/E analytics and consulting teams to deliver Clarivate\xe2\x80\x99s industry-leading RWD/E analytics services. The ideal candidate can 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 Senior Manager of Data Science will work closely with leaders across Delivery, Products, Consulting, Solutions, and Sales and deliver value to our customers. The Senior Manager of Data Science will join a highly talented and fast-paced team, managing teams of analytics professionals, providing direction to project teams, and developing new analytics capabilities.What Will You be Doing in this Role?

• 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 the development of analytics accelerators and deployment platforms to speed up and scale analytics services.
• Work with the Director and other leads to provide \xe2\x80\x9cwhite-glove\xe2\x80\x9d analytics consulting services, defining client needs and ensuring 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\xe2\x80\x99s 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.

Minimum experience, education, and skills

• Advanced degree in epidemiology, biostatistics, economics, mathematics, data science, or equivalent
• Demonstrated experience in leading teams to successfully deliver RWD/E projects to pharma, medtech, biotech, or healthcare industries.
• At least 7 years of experience in pharma and around 3 years of managing and mentoring data science teams
• Relevant Experience in MedTech, biotech or healthcare industry, drawing insights from data, 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)
• 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)
• Have an innovative mindset, and have ideas about leveraging advanced methods (AI/ML) to solve RWD/E problems.
• Proficient at partnering with multiple stakeholders in a highly matrixed organization.
• Excellent verbal and written communication skills

About the teamWe are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivate\xe2\x80\x99s RWD product for pharmaceutical, biopharma, and medtech clients.Hours of Work

• You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be slight extension on as-needed basis.
• We are working in a Hybrid Work mode

At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Clarivate