PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno
- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary The Project Manager leads end-to-end delivery of AI and Gen AI initiatives for Field Medical and Medical Affairs clients. The role turns client needs (MSL effectiveness, medical insights generation, scientific engagement planning, and KOL/HCP intelligence) into well-scoped projects, manages cross-functional teams of analysts, data scientists, and engineers, and ensures solutions are delivered on time, within budget, and in line with medical, privacy, and AI governance standards.

Key Responsibilities
Client engagement and scoping:
• Work with Medical Affairs, Field Medical Excellence, and Medical Insights leaders to understand objectives, define use cases, and translate them into scope, success criteria, and project plans.



Use case portfolio:
• Shape and prioritize AI/Gen AI use cases such as LLM-based insight extraction from MSL interaction notes, insight theme clustering and trend detection, KOL identification and segmentation, next-best-engagement recommendations, pre-call planning assistants, and medical content summarization. Project delivery
• Own timelines, budgets, resourcing, risks, and dependencies across proofs of concept, pilots, and production rollouts. Run Agile ceremonies and status governance. Team leadership
• Lead and mentor analysts, data scientists, and engineers. Review deliverables for analytical rigor, clinical relevance, and client readiness. Data and platform coordination
• Coordinate access to and integration of field medical data sources such as Veeva CRM / Medical CRM, medical information requests, congress and publication data, and third-party KOL databases. Responsible AI and compliance:
• Make sure solutions follow medical-commercial separation, privacy (HIPAA/GDPR), client AI governance, and validation standards. Set up human-in-the-loop review, model evaluation, and hallucination and bias checks for Gen AI outputs. Value realization:
• Define KPIs (insight quality and coverage, MSL time saved, engagement reach,



adoption) and report impact to client stakeholders. Stakeholder communication:
• Prepare steering committee updates, executive readouts, and demos. Manage expectations and change requests. Business development:
• Support proposals, solution design, effort estimates, and capability presentations for new Field Medical AI opportunities.

Qualifications:
• Bachelor's degree in life sciences, pharmacy, engineering, computer science, or a related field. Master's, MBA, PharmD, or PhD preferred.
• 8–12 years of experience in pharma/life sciences analytics or consulting, with at least 3–5 years managing analytics or AI projects.
• Direct experience with Medical Affairs or Field Medical (MSL) analytics, such as MSL effectiveness, medical insights, or KOL mapping.
• Working understanding of AI/ML and Gen AI concepts: LLMs, prompt engineering, retrieval-augmented generation (RAG), NLP, and model evaluation.
• Familiarity with Veeva CRM / Vault, cloud platforms (AWS, Azure, GCP), and BI tools (Power BI, Tableau).
• PMP, PRINCE2, or Agile/Scrum certification is a plus Key Skills and Competencies
• Combines medical domain understanding with practical AI delivery experience.
• Structures ambiguous problems into explicit scope, milestones, and deliverables.
• Communicates confidently with senior Medical Affairs leaders and technical teams.
• Manages risk proactively, especially around data access, compliance, and AI output quality.
• Builds and develops high-performing, client-focused teams.

📌 Project Manager – Gen AI (Hyderabad)
🏢 PharmaACE
📍 Hyderabad