Associate Director, US Market Engagement Data Science & Advanced Analytics

Scorpion Therapeutics; Rahway (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Scorpion Therapeutics in Rahway, NJ is seeking a senior analytics lead to translate business needs into analytical plans, delivering actionable insights for commercial and scientific decision-making.

You will mentor teams, collaborate across market research, forecasting, data science and medical analytics, apply GenAI and regulated data practices, and travel as required to partner with stakeholders.

Qualifications

• BS in Data Science or related field (required).
• 5+ years delivering complex analytics in pharma/biotech/healthcare.
• Experience mining patient claims/EMR data and producing insights.
• Storytelling and executive presence; stakeholder management in matrix orgs.
• Translate pharma business processes into analytics requirements.
• Lead teams of analysts and data scientists; project management.
• Curiosity about agentic AI/automation; responsible AI in regulated environments.
• Hands-on healthcare data experience (EMR/EHR, claims).
• Programming in Python, R, SAS, SQL; ML/AI/NLP model evaluation is a plus.

Responsibilities

• Translate business needs into analytical plans and deliver actionable insights.
• Collaborate with cross-functional teams (market research, forecasting, analytics, data science, marketing operations).
• Analyze data across disparate sources (claims/EMR, DDD, etc.) for commercial strategy.
• Stay current with analytical advancements (GenAI) and apply them to analytics capabilities.
• Contribute to innovative experiments with measurable improvement criteria.
• Derive actionable insights and craft clear data narratives for stakeholders.
• Lead and mentor data scientists and business analysts (on-shore/off-shore).
• Travel may be required.

Skills

Data storytelling

Stakeholder management

Team leadership

ML/AI experience

Python

R

SAS

SQL

NLP

Education

Bachelor's degree in Data Science or related field

MBA/MS/PhD preferred

Tools

Python

R

SAS

SQL

Job description

Key Responsibilities

• Translate business needs and priorities into analytical plans that answer business questions and deliver actionable insights; communicate advanced analytics to stakeholders.
• Collaborate with cross-functional teams (market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical/clinical).
• Analyze data across disparate sources (claims/EMR, DDD, and other healthcare datasets) to develop insights for commercial strategy.
• Stay current with analytical advancements (including GenAI) and apply them to enhance analytics capabilities.
• Contribute to innovative experiments (idea generation/incubation/experimentation) with tangible, measurable improvement criteria.
• Derive actionable insights, craft clear data narratives, and communicate effectively.
• Lead and mentor data scientists and business analysts (on-shore/off-shore) in analytics, modeling, and data visualization.
• Travel may be required.

Qualifications & Required Skills

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health (required). MBA/MS/PhD preferred.
• 5+ years delivering complex analytical projects in pharma/biotech/consulting/healthcare.
• Experience mining patient medical claims/EMR and producing actionable commercial insights.
• Storytelling/executive presence; stakeholder management in matrix organizations.
• Strong business acumen; translate pharma business processes/commercial strategies into analytics requirements.
• Organizational/project management; lead teams of analysts/data scientists.
• Innovative experimentation mindset; curiosity about agentic AI/automation.
• Responsible AI use in regulated environments (privacy, validation).
• Hands-on healthcare data experience (EMR/EHR, claims such as IQVIA APLD, other data offerings).
• Programming/code development for analytics; ML/AI/NLP/model evaluation is a plus.
• Knowledge of ML and descriptive algorithms using Python, R, SAS, SQL, etc.

Preferred

• Prior hands-on healthcare data/advanced analytics experience; MBA/MS/PhD.