
Data Scientist III
- Cambridge, MA
- Contract
- Full-time
Location: Cambridge, MA (3 days’ work in office)
Duration: 6 Months
Pay Rate: $74Required:
- 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.
- Pharmaceutical, biotech, or healthcare domain experience.
- 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.
- 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.
- 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.
- 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.
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.Experimentation & Optimization
· 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.Collaboration & Communication
· 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.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.For immediate consideration please click APPLY.