Data Scientist

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The Senior Manager, Data Science will be a key contributor to our U.S. Data Science team, developing advanced analytic solutions that drive strategic initiatives across Marketing, Sales, Access, and Digital.

This role is ideal for a hands-on Data Scientist who thrives at the intersection of analytics, commercial strategy, and healthcare innovation-someone who can build robust models, translate data into action, and collaborate with cross-functional partners to influence decisions.

You’ll design and deploy marketing mix models, develop predictive and patient-level analytics, measure digital ROI, and apply generative AI to commercial challenges - all while working with unique biopharma datasets and within a compliance-driven environment.

Ideal Candidate Profile

• You are a commercially minded Data Scientist who can model complex patient and HCP journeys, optimize multi-channel investments, and measure both short- and long-term marketing impact.
• You’ve built MMM models, run predictive analytics, deployed Next Best Action (NBA) frameworks, and translated digital performance data into ROI-driven decisions.
• You’re fluent in pharma datasets, comfortable productionizing models, and curious about applying GenAI and NLP to accelerate insights.
• You blend technical mastery, business acumen, and communication skills to influence senior stakeholders.

Responsibilities

Advanced Analytics & Predictive Modeling

• Independently design, build, and deploy predictive models for HCP targeting, patient initiation/adherence, sales forecasting, and resource allocation.
• Lead Next Best Action (NBA) strategy development to improve HCP engagement, field force productivity, and tailored omnichannel experiences.
• Develop and productionize Patient 360 models and lead generation algorithms using patient-level, market, and specialty pharmacy data.
• Apply machine learning, NLP, and large language models (LLMs) to extract insights from unstructured data (e.g., field notes, CRM interactions, coaching reports).

Marketing Mix, Digital ROI & Commercial Measurement

• Build and maintain marketing mix models (MMM) and budget optimization tools to inform multi-channel spend decisions.
• Conduct scenario planning and ROI analyses for DTC, HCP, field, event, and digital investments.
• Integrate digital analytics (media impressions, engagement, conversion) with offline datasets for a unified measurement of marketing effectiveness.
• Design attribution frameworks that account for long and complex patient/HCP decision cycles.
• Design and execute A/B tests, geo-lift studies, and holdouts to validate campaign impact.
• Collaborate with digital teams to implement tagging/tracking strategies for accurate cross-channel measurement.
• Leverage advanced analytics for budget reallocation simulations to maximize commercial ROI.

Data Integration & Compliance

• Ingest, harmonize, and analyze large-scale datasets from APLD, PlanTrak, claims, EMR/EHR, specialty pharmacy, CRM, and syndicated data sources (IQVIA, Symphony, Komodo, Veeva).
• Ensure all data handling complies with HIPAA, GDPR, and internal governance policies.
• Partner with Marketing, Sales, Access, IT, and external vendors to develop and deploy analytics solutions in production.
• Translate technical outputs into clear, actionable insights for executive decision-making.
• Mentor junior analysts and data scientists, fostering a culture of analytics excellence.
• Present findings at leadership forums and contribute to external publications or conferences where appropriate.

Qualifications

Required:

• Master’s degree (or higher) in Data Science, Statistics, Applied Mathematics, Computer Science, Business Analytics, or related field.
• 5 – 7 years of hands-on experience in data science or advanced analytics, preferably in pharmaceutical, biotech, or healthcare.
• Strong knowledge of supervised/unsupervised learning, regression, clustering, A/B testing, and optimization.
• Proficiency in Python, R, SQL and experience with data platforms such as Snowflake.
• Expertise in MMM tools, predictive modeling, and digital ROI measurement.
• Familiarity with commercial data sources: APLD, PlanTrak, specialty pharmacy, claims datasets.
• Strong communication skills with the ability to simplify complex analytics for non-technical audiences.

Preferred:

• Experience applying generative AI and NLP in commercial analytics.
• Familiarity with patient journey analytics, launch planning, and omnichannel strategy.
• Experience with visualization tools like Tableau, Power BI, or Looker.

Soft Skills

• Strong business acumen with an understanding of marketing, sales, and market access levers in biotech/pharma.
• Strategic thinker who can also roll up sleeves for hands-on coding and model development.
• Collaborative and adaptable in a fast-paced, high-stakes environment.
• Continuous learner with curiosity for emerging technologies and methods.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Pharmaceutical Manufacturing

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Medical insurance

Vision insurance

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