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GSK India
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Associate Director- Pharma R&D-AI Product Management

Associate Director- Pharma R&D-AI Product Management

GSK India

16 - 21 years

50 - 70 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

procurement product management computer science simulation pharma analytical market research clinical research monitoring sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Overview/Summary :

Join GSKs dynamic team to lead the AI product vision and strategy, driving innovative solutions that align with our R&D goals in target choice, patient identification, molecule design and clinical trial effectiveness. Motivate and guide a cross-functional team to meet milestones. Collaborate with experts to develop high-quality simulation modeling and analytical solutions. Shape the future of AI at GSK by establishing clear roadmaps, promoting adoption, and delivering industry-leading products.

Responsibilities:

Take the lead in identifying ambitious opportunities and shaping AI product vision, strategy, and roadmaps in alignment with GSKs R&D goals.
Drive innovation by proactively exploring, adopting, and testing novel AI technologies, using creative problem-solving to address business pain points while leveraging partnerships and market insights.
Lead and motivate a cross-functional team of machine learning developers, engineers, and domain experts to achieve product milestones.
Compute, analyze, and document AI model performance metrics while identifying and implementing strategies to enhance model accuracy and effectiveness.
Collaborate with subject matter experts in pre-clinical research, clinical trial design and operation, precision medicine, regulatory science, and CMC to achieve scientifically sound and high-quality simulation modeling and analytical solutions.
Establish clear AI roadmaps and ensure stakeholder alignment throughout the product life cycle.
Promote AI adoption through creating intuitive user experiences, developing effective training programs, and iterating based on feedback to maximize impact.
Understand GSKs strategic and competitive position and deliver AI products that are aligned with our mission and recognized best in the industry.

Why You

Basic Qualifications:

16+ years of overall experience with bachelor s degree in computer science, bioinformatics, applied math, statistics or engineering
5+ years Pharma R&D product management experience with strong Business processes knowledge in two or more domain areas: pre-clinical research, clinical trial design and operation, precision medicine, regulatory science, chemistry, and manufacturing and controls (CMC).
2+ years experience in AI/ML Product Management
Experience in Agile tool kits such as JIRA or Azure DevOps
Experience of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including human-in-the-loop (HITL) AI/ML monitoring.
Programming experience (R/SQL/Python) analyzing data sets and making decisions based on data.
Experience with prompt engineering techniques to improve solution accuracy.

Preferred Qualifications:

Experience managing the full AI product lifecycle, including incorporating customer feedback into product requirements, prioritizing features, and overseeing both pre- and post-launch activities.
Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, procurement, etc.), and guide the team through key milestones
Proficiency in AI-based tools in market research, product requirement, and user research to enhance efficiency.
Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are key.
Hands-on experience in data bricks, Azure AI stack, or GCP AI stack.
Hands-on experience with prompt programming such as DSPy.
Strong written and verbal communication skills in technical presentations and team objective and milestone reporting

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GSK India

Pharmaceuticals & Biotechnology

Mumbai

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Associate Director- Pharma R&D-AI Product Management