Data Scientist, Pharma Analytics & AI

We are a technology-led healthcare solutions provider. We are 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 the 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 fueled by purpose. The combination of these will lead to a truly differentiated experience for you.

If this excites you, then apply below.

Data Scientist, Pharma Analytics & AI

Location: NYC OR NJ

Responsibilities:

• Develop and implement machine learning and advanced analytics solutions to address complex pharmaceutical and commercial business problems.
• Lead the development of time-series forecasting models, including demand, sales, patient, market, or other business forecasts.
• Analyze and synthesize diverse pharmaceutical and healthcare data sources to generate meaningful insights and support business decisions.
• Translate ambiguous business requirements into analytical frameworks, modeling approaches, and actionable recommendations.
• Build, validate, optimize, and deploy ML and forecasting models, ensuring appropriate performance evaluation and business interpretability.
• Work closely with clients and senior stakeholders to understand business objectives, communicate analytical findings, and translate model outputs into business recommendations.
• Serve as a key onshore point of contact, coordinating with clients and offshore teams to ensure effective communication, prioritization, and delivery.
• Own analytical workstreams end-to-end, from problem definition and data exploration through model development, validation, insights generation, and presentation.
• Collaborate with cross-functional and global teams, including data scientists, data engineers, business analysts, and subject-matter experts.
• Stay current with emerging AI/ML techniques and technologies and identify opportunities to apply them to pharmaceutical analytics and business problems.
• Explore and contribute to AI-agent-based solutions where appropriate, including use cases involving Snowflake or Vertex AI.
• Continuously learn and adapt to new client requirements, technologies, datasets, and analytical challenges.
• Take increasing ownership of analytical workstreams and help scale solutions across multiple pharmaceutical use cases and client engagements.
• Build and present executive-ready outputs, including analytical findings, model results, forecasts, visualizations, and recommendations.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative discipline. A master’s degree is a plus, but not mandatory.
• 3–4+ years of relevant experience in data science, advanced analytics, machine learning, forecasting, or a related field.
• Strong understanding of machine learning concepts, statistical modeling, and predictive analytics, with hands-on experience developing and validating ML models.
• Strong experience in time-series forecasting, including forecasting methodologies, model development, validation, performance assessment, and interpretation of results.
• Prior experience working in the pharmaceutical/life sciences industry, with a good understanding of pharmaceutical data and analytics.
• Familiarity with healthcare/pharma data sources such as patient, claims, sales, HCP, market, or other commercial datasets is highly desirable.
• Ability to translate business questions into structured analytical approaches, data science solutions, and actionable insights.
• Strong analytical problem-solving skills with the ability to work through ambiguous or evolving business requirements.
• Strong communication and stakeholder-management skills, with the ability to serve as an onshore point of contact for clients and offshore delivery teams.
• Demonstrated willingness to learn new technologies, adapt to changing requirements, and scale across new analytical use cases.
• Ability to collaborate effectively with data scientists, engineers, business analysts, consultants, and senior stakeholders.
• Strong written and verbal communication skills.
• Familiarity with Python, SQL, or similar programming and analytics languages

Good to Have

• Exposure to AI agents / agentic AI, including building or working with agents in platforms such as Snowflake Cortex / Snowflake Intelligence or Vertex AI / Vertex AI Agent Builder.
• Experience working with Dataiku or similar enterprise data science platforms.
• Exposure to Generative AI, LLMs, prompt engineering, or AI-enabled analytics solutions.

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.