Abhishek Singh

Leading commercial and market access analytics across pre-launch and post-launch engagements: leveraging real-world data, claims, and commercial datasets for opportunity identification, launch strategy, and lifecycle performance.

I lead the analytics strategy and capability vision for Syneos Health's consulting practice, sitting at the intersection of data science, client advisory, and business development. My focus is making sure our analytical work connects directly to commercial decisions, not just deliverables. That means setting the direction for how our team of 10+ data scientists and analysts approaches RWD and AI-enabled analytics across 50+ pharma clients, and partnering with commercial, medical, and market access leadership to ensure our solutions are built for how decisions actually get made in their organizations. Key contributions: • Helped establish and scale the DAAS function, building a cross-functional team of 10+ and defining the technical roadmap to expand RWD and AI analytics capabilities across consulting verticals • Contribute to 4–5 proposals and RFPs monthly, scoping technical feasibility for analytics engagements and translating data science capabilities into client value - directly supporting multi-million-dollar new business wins and large-scale, multi-vertical account expansions • Partner with BD and consulting leadership to align analytical frameworks with commercial, medical, and market access priorities, advising pharma brand teams on RWD study design, patient journey analytics, and treatment pathway dynamics • Invest in developing the team - building analytical thinking, sharpening how we tell stories with data, and creating reusable frameworks that scale insight delivery across engagements and therapeutic areas

As Engagement Manager, I owned end-to-end delivery of 20+ complex analytics engagements across oncology, rare disease, rheumatology, and immunology - managing the full arc from problem framing and data strategy through to final recommendations for pharma commercial and market access stakeholders. Beyond individual engagements, I used this role to build analytical infrastructure that changed how our team worked at scale: • Designed and launched the Market Dynamics Engine (MDE) - an automated patient cohort builder that reduced manual cohort creation time by 80%, compressing insight delivery from weeks to days across multiple concurrent engagements • Architected and directed the build of an AI-enabled Agentic Dashboard on Snowflake Cortex Intelligence, integrating longitudinal claims and Rx pipelines to give commercial teams self-service decision-making capability, reducing analyst dependency by 75% and cutting time-to-insight from weeks to hours • Built a Pharmacy Benefit Analyzer to benchmark access and step-edit barriers across therapeutic areas, surfacing patient access gaps that directly shaped patient support program design for specialty and oral products On the commercial and access side (a few examples): • Led pre-launch assessments using longitudinal claims data to map payer coverage dynamics, access bottlenecks, and referral patterns for oncology and specialty assets • Designed segmentation and targeting strategies for a high-profile biosimilar market entry, aligning account prioritization with payer dynamics to maximize uptake post-launch • Developed forecasting simulations and scenario models to support portfolio prioritization and launch sequencing decisions across oncology indications • Built patient journey KPI frameworks that identified primary patient drop-off, directly informing brand strategy • Mentored analysts and data scientists on translating technical analyses into clear strategic narratives for commercial and market access stakeholders

As Senior Consultant, I was embedded across the full analytical delivery lifecycle, designing and executing the RWD and commercial analytics frameworks that underpinned strategic recommendations for pharma brand and market access teams. This was the role where I built the technical foundation that carried into my Engagement Manager work: developing rigorous, reproducible analytical pipelines and translating complex claims-based outputs into insights commercial teams could actually use. Key contributions: • Designed and implemented Python and SQL workflows for Line of Therapy (LOT) mapping and disease progression modeling, improving the accuracy and consistency of oncology analytics across multiple client engagements • Developed forecasting simulations to evaluate commercial potential for pipeline assets, quantifying the impact of competitive landscape dynamics and regulatory changes on future market uptake • Built regression and treatment switching models to identify drivers of therapy adoption and HCP behavior patterns, directly informing field force deployment and commercial prioritization strategies • Developed segmentation and targeting frameworks for specialty and rare disease brands, translating claims-based patient and provider analytics into prioritized commercial action • Supported pre-launch market access assessments, analyzing payer coverage dynamics, referral pathways, and treatment initiation patterns to inform access strategy development

Four years at Axtria built my commercial analytics foundation - working across promotional effectiveness, marketing mix optimization, forecasting, and field force strategy for Top 10 global pharma clients. Worked closely with brand teams and commercial operations leaders to translate analytical outputs into actionable insights for campaign optimization, targeting strategy, and portfolio planning. • Designed and implemented AI/ML models to assess promotional ROI, optimize marketing mix and budget allocation, and inform HCP targeting strategies across channels, geographies, and customer segments • Drove global forecasting analytics operations across 70+ countries for a major pharma client, managing the transition from fragmented local spreadsheets to a centralized forecasting tool, including onsite training and regional stakeholder management • Enhanced target segment prioritization using Affordable Coverage Modeling and Workload Management, improving sales force efficiency by 72% • Developed Next Best Action scheduling models using Linear Optimization to optimize HCP appointment targeting and field force productivity • Leveraged social mobility data during COVID-19 to identify outbreak-affected regions and correlate population movement with brand sales trends, informing real-time commercial strategy adjustments

- Working within a dedicated offshore research centre and responsible to provide SI&A (strategic insights and analytics) support for top global blue chip pharma company - Designed & developed Dashboards/Quarterly reports in order to enhance Franchise/Product oriented decision making, Selection of KPIs and views to compare data from multiple sources across different parameters - Accountable for conducting extensive secondary research, taking evidence-based decisions and analyzing key parameters involved in big market forecast scenarios across chosen domains- pharmaceutical, biotech and medical devices. - Created Forecasting tools for newly launched or about to be launch products to estimate their revenues and shares in future - Also involved in different portfolio market projects like social media analysis, Competitive intelligence, Diagnostics Benchmarking, Landscape assessment, Company (Competitor)/ProductProfiling - Enrich experience of handling multiple projects independently and working on short-term and long-term deadlines

Supervising the ongoing Maintenance work at our hostel and suggest necessary remedies. Conduct meetings with Wardens and problems faced by students on their behalf. Part of Hostel Executive Committee.

Worked in formulations preparation departments like ORAL liquid, Ointment and in Bulk drugs and also in QA & QC Departments.

GPA: 8.1/10