Pharma Analytics & AI Data Scientist

Indegene; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

Indegene in NYC or NJ seeks a Data Scientist to develop machine learning and time-series forecasting solutions for pharmaceutical analytics. You will translate business questions into analytical frameworks, collaborate with cross-functional teams, and deliver actionable insights that support client decisions.

Join a growth-focused, global organization at the intersection of healthcare and technology, where you will stay ahead of AI/ML trends and scale solutions across multiple pharmaceutical use

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative discipline.
• 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.

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.

Skills

Time-series forecasting

Python

SQL

Machine learning

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Master's degree

Tools

Snowflake

Vertex AI

Dataiku

Job description

Indegene in NYC or NJ seeks a Data Scientist to develop machine learning and time-series forecasting solutions for pharmaceutical analytics. You will translate business questions into analytical frameworks, collaborate with cross-functional teams, and deliver actionable insights that support client decisions.

Join a growth-focused, global organization at the intersection of healthcare and technology, where you will stay ahead of AI/ML trends and scale solutions across multiple pharmaceutical use