Healthcare Data Science Lead: AI & Predictive Modeling

Randstad USA; United States; On-site; USD 117,000 - 124,000; Full time

Job summary

Randstad USA in Cambridge, MA seeks a hands-on data science leader to build scalable ML pipelines and drive commercial strategies in healthcare. You will lead end-to-end modeling, collaborate with IT for MLOps, and partner with brand teams across Marketing, Sales, and Access to translate data into measurable business value.

Requirements include 7+ years in analytics, 4+ years leading teams, strong Python/SQL, and experience with Databricks/Snowflake. Some travel and EST hours.

Qualifications

• 7+ years of hands-on analytics or data science experience, including at least 4+ years leading data science projects or teams.
• Strong command of statistical modeling, supervised/unsupervised learning, A/B testing, and time-series forecasting.
• Experience deploying data science solutions in a commercial setting—ideally pharma/biotech/healthcare.

Responsibilities

• Lead end-to-end development, deployment, and scaling of predictive models, segmentation, NLP, and optimization solutions for U.S. commercial brand teams.
• Frame complex business questions, evaluate analytical trade-offs, and translate findings into actionable strategies for marketing, sales, and access leadership.
• Partner with IT to build MLOps environments, fine-tune model performance based on user feedback, and deliver productized analytical tools.
• Manage relationships with external analytics vendors and collaborate with cross-functional data, engineering, and compliance teams.
• Establish analytical rigor, responsible AI experimentation, and model governance standards.

Skills

Predictive Modeling

Statistical Modeling

A/B testing

Time-series forecasting

Python

SQL

Education

Master's degree or higher in data science or related field

Tools

Databricks

Snowflake

Power BI

Tableau

Job description

Randstad USA in Cambridge, MA seeks a hands-on data science leader to build scalable ML pipelines and drive commercial strategies in healthcare. You will lead end-to-end modeling, collaborate with IT for MLOps, and partner with brand teams across Marketing, Sales, and Access to translate data into measurable business value.

Requirements include 7+ years in analytics, 4+ years leading teams, strong Python/SQL, and experience with Databricks/Snowflake. Some travel and EST hours.