We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com.
What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?
We understand that you are looking for growth and variety in your career at this point, and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams, and be responsible for outcomes while our leaders support and mentor you.
We are a profitable, rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fuelled by purpose. The combination of these will lead to a truly differentiated experience for you.
If this excites you, then apply below.
Role: Associate Manager - Data Science
Description:
Associate Manager Data Science
- Design, develop and execute analytics techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. You will develop new offerings/solutions to drive client impact by delivering client solutions and shape Indegene's point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. We are seeking a highly skilled Data Science Manager to lead end‑to‑end delivery of Advanced Analytics and Data Science initiatives for enterprise clients. This role requires a blend of technical expertise, project leadership, and stakeholder management. The ideal candidate has significant experience managing interdisciplinary data teams, delivering complex analytical solutions, and owning senior‑level client engagements
Responsibilities:
Business Insights and Analytics Programs
- Lead the delivery of analytics programs and projects, overseeing project intake, process design, development, testing, and deployment.
- Collaborate with internal data leads, business operations, and technical development partners to deliver data solution projects within service level agreements.
- Support analytics solution design, KPI development, and perform ad hoc analytics to support priority projects as needed.
- Translate complex data into clear, actionable insights and recommendations
- Drive consistency and quality across recurring deliverables (monthly reads, campaign analyses)
Client & Stakeholder Management
- Serve as a primary point of contact for brand, media, and digital stakeholders
- Lead client readouts with clarity, confidence, and structured storytelling
- Proactively identify risks, gaps, and opportunities
- Build trusted advisor relationships through consistent, high-quality delivery
Project Management and Monitoring
- Monitor project progress and tracking work activity, resolving issues, publishing status reports, and recommending next steps.
- Proactively identify risks or delays, working with relevant teams to drive resolution and keep projects on track.
Test & Learn / Experimentation
- Design and evaluate test & control experiments across media and marketing initiatives
- Translate experiment results into business impact (e.g., script lift, patient starts, engagement)
- Partner with data science teams to ensure methodological rigor and scalability
About You (Desired Profile):
- You have 8-10 years of core experience in Data Science / Statistics, ideally within the Life Sciences, Pharmaceutical or Healthcare industry, with deep expertise in campaign performance measurement.
- You have hands-o