Associate Director / Associate Principal AI Life Sciences/Pharma

Project Role: Associate Director / Associate Principal AI (Life Sciences/Pharma)

Work Experience: 10–18 Years

Work location: PAN India

Work Mode: Hybrid- Delhi/Mumbai/Bangalore/Pune/Hyderabad

Candidate need to travel to HO-Bangalore when required

Job Overview:

Lead the selling and delivery of cutting-edge AI projects in the Life Sciences R&D space, with a core focus on Clinical Development Optimization. Partner with clients, data scientists, engineers, and domain experts to operationalize AI-enabled solutions, including foundation AI simulation capabilities. Drive project execution, client engagement, and contribute to the growth of AI consulting capabilities within Pharma R&D.

Job Responsibility:

• Support and contribute to the sales cycle, including opportunity shaping, proposal development, client presentations, and solution design.
• Act as a trusted day-to-day advisor to client stakeholders across Pharma and Life Sciences organizations.
• Identify opportunities where AI-driven simulation and optimization can deliver measurable value in Clinical R&D.
• Lead the delivery of innovative AI projects, including emerging and first-in-class AI solutions.
• Develop compelling client narratives and value propositions around AI capabilities.
• Own project execution, ensuring quality, timelines, and client satisfaction.
• Lead cross-functional teams comprising consultants, data scientists, engineers, and clinical experts.
• Contribute to foundation model initiatives and translate them into client-ready applications.
• Design and implement scalable AI solutions across clinical development use cases.
• Collaborate with technology partners across AI, cloud, and analytics ecosystems.
• Support capability development, mentoring, and thought leadership activities.
• Foster an agile, collaborative, and impact-driven project culture.

Technical/Required Skills:

• Strong experience delivering AI/ML and analytics-driven consulting engagements.
• Knowledge of supervised learning, unsupervised learning, Generative AI, LLMs, and Agentic AI.
• Experience working with clinical trial data, real-world data (RWD), omics, and structured/unstructured datasets.
• Consulting and client stakeholder management experience.
• Project leadership and team management skills.
• Ability to work effectively in ambiguous and fast-paced environments.
• Strong communication, presentation, and problem-solving skills.
• Understanding of AI solution architecture and deployment.

Good to have Skills/Experience:

• Experience with top-tier consulting firms.
• Exposure to Real-World Evidence (RWE), trial optimization, and biomarker-related use cases.
• Knowledge of regulatory and data governance frameworks such as HIPAA and 21 CFR Part 11.
• Experience with AWS, Azure ML, Databricks, and foundation model ecosystems.
• Familiarity with ChatGPT, Claude, and other GenAI platforms.
• Exposure to agentic AI frameworks and modern AI development workflows.
• Experience contributing to thought leadership, publications, and industry presentations.

Educational Qualification:

• Bachelor’s or Master’s degree in Life Sciences, Data Science, Computer Science, Engineering, Statistics, Analytics, or a related field.
• Advanced degree (MBA, MS, PhD) preferred.