Data Scientist III

Job Title: Data Scientist III
Location: Cambridge, MA 02142 (Hybrid – 3 days onsite, 2 days remote)
Duration: 6 months+

Pay rate: $77.53 hr. on W2
Hours per week: 40
 
Job Description:
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 in a compliance-driven environment.
 
Ideal Candidate Profile:

• Commercially minded data scientist able to model complex patient and HCP journeys.
• Experience optimizing multi-channel investments and measuring marketing impact.
• Skilled in building MMM models, predictive analytics, NBA frameworks, and digital performance ROI.
• Fluent in pharma datasets, productionizing models, and applying GenAI/NLP for insights.
• Blend of technical mastery, business acumen, and communication skills to influence senior stakeholders.

 
Key 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 and field force productivity.
• 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 such as field notes, CRM interactions, and coaching reports.

Marketing Mix, Digital ROI & Commercial Measurement

• Build and maintain marketing mix models (MMM) and budget optimization tools to guide multi-channel spend decisions.
• Conduct scenario planning and ROI analyses for DTC, HCP, field, event, and digital investments.
• Integrate digital analytics with offline datasets for unified marketing effectiveness measurement.
• Design attribution frameworks accounting 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 and tracking 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 sources including APLD, PlanTrak, claims, EMR/EHR, specialty pharmacy, CRM, and syndicated data.
• 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.
• Translate technical outputs into clear, actionable insights for executives.
• Mentor junior analysts and data scientists, fostering a culture of analytics excellence.
• Present findings at leadership forums and contribute to external publications or conferences as 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 like APLD, PlanTrak, specialty pharmacy, and claims datasets.
• Strong communication skills 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 such as Tableau, Power BI, or Looker.

 
Soft Skills:

• Strong business acumen with understanding of marketing, sales, and market access in biotech/pharma.
• Strategic thinker who can also do 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.