Pharma Data Scientist: GenAI, NBA & Scalable ML

SPECTRAFORCE; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

SPECTRAFOR is looking for a highly motivated Data Scientist to develop data-driven solutions in the pharmaceutical commercial domain. Key responsibilities include developing predictive models and optimizing HCP engagement strategies.

The ideal candidate should have a Master’s or PhD in a quantitative discipline, with substantial experience in machine learning and GenAI implementations. Strong communication skills and experience in the pharmaceutical sector are crucial for success.

Qualifications

• 5-7+ years (Master’s) or 3–5+ years (PhD) in data science, machine learning, or advanced analytics.
• Proficiency in Python or R is preferred.
• Experience in pharmaceutical or life sciences analytics preferred.

Responsibilities

• Develop and deploy predictive models for patient events.
• Scale Next Best Action solutions for HCP engagement.
• Integrate GenAI into commercial workflows.

Skills

Machine Learning

GenAI frameworks

Python

Statistical analysis

Data privacy and regulatory standards

Education

Master’s or PhD in Data Science

Computer Science

Statistics

Tools

Databricks

AWS SageMaker

Power BI

Job description

SPECTRAFOR is looking for a highly motivated Data Scientist to develop data-driven solutions in the pharmaceutical commercial domain. Key responsibilities include developing predictive models and optimizing HCP engagement strategies.

The ideal candidate should have a Master’s or PhD in a quantitative discipline, with substantial experience in machine learning and GenAI implementations. Strong communication skills and experience in the pharmaceutical sector are crucial for success.