Measure Pharmaceutical Script Lift Through Healthcare Claims Analytics

Move beyond campaign metrics and measure what happens at the prescription level. As a Senior Data Scientist, you'll turn U.S. Rx/Dx claims, HCP data, causal inference, and AI into evidence of pharmaceutical campaign impact. Lead high-value healthcare analytics globally and take your data science career further with Emapta.

Your Career Snapshot

- Employment Type: Full-time
- Shift: Night Shift, Weekends Off
- Work Setup: Work From Home

Exciting Perks Await!

- Competitive package
- Medical life insurance
- Work from home arrangement
- Standard government and Emapta benefits
- Well-equipped, modern, and accessible offices
- Employee engagement initiatives
- Mentorship and exposure to global leaders and teams
- Diverse, inclusive, and supportive culture
- Transparent performance management
- Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)

The Qualifications We Seek

Education & Professional Experience

- Master's degree in Data Science, Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, Mathematics, or a closely related quantitative field
- More than 5 years of hands-on experience in healthcare data science, healthcare analytics, outcomes research, commercial analytics, or measurement, including direct ownership of complex analytical studies
- Demonstrated experience analyzing U.S. prescription and medical claims data at the HCP and patient levels and measuring prescription lift, incremental impact, or related pharmaceutical outcomes
- Meaningful experience in pharmaceuticals, life sciences, healthcare media, real-world evidence, market access, or healthcare consulting, with direct healthcare industry experience strongly preferred
- Strong knowledge of experimental and quasi-experimental design, control-group methodology, causal inference, statistical testing, bias reduction, and incremental impact measurement
- Advanced proficiency in SQL and Python or R, with experience managing large datasets and building reproducible analytical workflows
- Practical experience using AI, machine learning, and generative AI tools to improve analytical productivity and expand insight generation, with sound judgment in validating outputs and applying them responsibly
- Ability to build new analytical capabilities from the ground up while personally performing the detailed technical work required to deliver results
- Excellent written and spoken English, with the ability to lead discussions, develop polished client-facing narratives, and explain technical methods and findings clearly to non-technical audiences
- Strong curiosity, ownership, commercial judgment, attention to detail, and commitment to producing accurate, defensible, and decision-ready work
- Ability to work effectively in a remote setting, collaborate across functions and time zones, manage multiple concurrent studies, and meet client-driven deadlines

Technical Skills & Platforms

- Advanced proficiency in SQL and Python or R for data preparation, statistical analysis, causal inference, modeling, automation, and reproducible research
- Strong data visualization and business intelligence capabilities using Tableau, Power BI, or a comparable platform, including the development of executive- and client-ready dashboards
- Experience with modern cloud data environments such as Snowflake, Databricks, BigQuery, AWS, Azure, or comparable platforms
- Familiarity with Git or another version-control system, documented analytical pipelines, testing practices, and repeatable production workflows
- Experience with U.S.



healthcare claims and prescribing-data platforms or datasets such as IQVIA, Symphony Health, Komodo Health, PurpleLab, or comparable sources, strongly preferred
- Practical experience with machine learning frameworks, generative AI tools, and responsible AI-assisted analytics, supported by strong human review and validation practices

Your Daily Tasks

Script-Lift Study Design & Execution

- Own the end-to-end design and execution of Rx/Dx claims-based script-lift studies across annual pharmaceutical campaigns
- Establish statistically sound study methodologies, including eligible HCP populations, pre- and post-campaign periods, exposed cohorts, holdout or matched control groups, attribution rules, confounder controls, and minimum sample requirements
- Identify high-value HCP audiences at campaign onset based on prescribing history, diagnosis patterns, patient opportunity, specialty, engagement signals, and other relevant attributes
- Partner with Audience Intelligence and campaign teams to establish appropriate control populations and ensure activation aligns with approved study designs
- Measure outcomes, including new prescribers, incremental prescriptions, increased prescribing among existing writers, patient-level opportunity, market share movement, and other agreed indicators of lift
- Apply causal-inference and statistical techniques, including matched cohorts, propensity scoring, difference-in-differences, regression, significance testing, sensitivity analysis, and confidence intervals

Data Management, Quality & Governance

- Ingest, normalize, join, and analyze large healthcare datasets, including longitudinal Rx and Dx claims, HCP identifiers, audience profiles, campaign exposure, digital engagement, and program-cost data
- Develop reusable code, analytical pipelines, data models, quality checks, documentation, and version-controlled workflows to make studies accurate, efficient, auditable, and repeatable
- Validate data completeness, linkage, timeliness, coding, and cohort integrity
- Investigate anomalies and clearly document assumptions, exclusions, limitations, and potential sources of bias
- Protect sensitive healthcare and commercial data by following applicable privacy, security, data-use, de-identification, access-control, and retention requirements
- Collaborate with internal teams and external data partners to resolve data gaps, improve identity matching, strengthen verified audience records, and enhance the reliability of measurement inputs

Performance Insights, Storytelling & ROI

- Produce quarterly measurement updates that explain audience quality, delivery, engagement, early prescribing signals, risks, and opportunities to improve campaign performance
- Deliver clear final analyses that quantify incremental impact and return on investment through transparent methodology and defensible conclusions
- Partner with campaign and audience teams to translate findings into specific optimizations that increase the likelihood of achieving the program's target of at least 3x ROI
- Create client-ready visualizations, executive summaries, analytical narratives, and presentations that make complex findings understandable and actionable
- Distinguish correlation from causation, communicate confidence and limitations,



and anticipate questions from clients, association partners, executives, and technical reviewers
- Build benchmarks across campaigns to identify the audiences, engagement patterns, messages, channels, and program designs most consistently associated with prescribing lift

AI-Enabled Analytics & Capability Building

- Use artificial intelligence and machine learning to accelerate data exploration, coding, quality assurance, cohort development, anomaly detection, modeling, visualization, and narrative generation while preserving human validation and methodological rigor
- Evaluate and implement AI-enabled approaches that provide additional analytical perspectives, surface plausible performance drivers, and improve the speed and consistency of recurring studies
- Establish reusable study templates, operating procedures, analytical standards, and reporting frameworks to scale script-lift and outcomes measurement efficiently as the business grows
- Operate entrepreneurially within an emerging capability by identifying requirements, proposing practical solutions, testing approaches, making sound decisions with incomplete information, and driving work forward with limited oversight
- Maintain current knowledge of healthcare claims analytics, causal inference, measurement, machine learning, generative AI, and responsible AI practices and apply relevant advances to the program

Cross-Functional Leadership

- Serve as the analytical lead and primary subject-matter expert on study design, claims-based measurement, script lift, outcomes, and ROI methodology
- Partner with Audience Intelligence to translate analytical findings into audience selection, targeting, verification, and optimization strategies
- Collaborate with Data, Ad Operations, e-Delivery, Product, Engineering, and Sales teams to define and operationalize required data, tools, workflows, dashboards, and campaign processes
- Communicate progress, findings, decisions, risks, and resource requirements proactively to the Director of Audience Intelligence and other stakeholders
- Contribute confidently to meetings across time zones and build strong working relationships with colleagues, clients, association partners, and external vendors

About the Client

Our client is a healthcare media, technology, and marketing organization connecting medical associations, healthcare professionals, and life sciences brands through clinical content, data, and digital solutions. Their network reaches 3.1 million verified healthcare professionals and supports hundreds of medical associations and health brands. They combine audience intelligence, AI-powered segmentation, targeted advertising, medical education, specialty media, and performance measurement to help healthcare marketers reach relevant clinicians, understand engagement, demonstrate campaign impact, strengthen professional education, and ultimately support better healthcare outcomes.

Join the Top 1% Talent. A Better Career. A Better Life.

Join us at Emapta, and let your professional journey flourish in the heart of India's vibrant culture!

Recognized as one of Asia's rising tech and outsourcing destinations, we offer a wealth of opportunities to showcase your talent to the world. At Emapta, we connect you with global clients, giving you international exposure without leaving the comfort of your home country. With over 1,200 international clients and a decade of proven success, we provide a strong foundation for your career growth.

Here, innovation, collaboration, and continuous learning are part of everyday life, and work-life balance is more than just a promise-it's a reality.

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📌 Senior Data Scientist (Coimbatore)
🏢 Emapta Global
📍 Coimbatore