Senior Lead, Forward Deployed Engineer

Overview

Senior Lead, Forward Deployed Engineer for Global Medical Affairs Digital & Tech, working alongside product teams, data scientists and GSK Strategic Partner engineering resources to build digital, data, analytics and AI solutions for Medical Affairs.

What you'll do

• Work with Medical Affairs teams to understand scientific and operational workflows, user needs, data constraints and measures of value.
• Contribute to priority use cases from problem framing through PoC, PoV and MVP using short delivery cycles and direct user feedback.
• Build prototypes with representative data and real workflows, testing feasibility, usability, data quality and potential business value.
• Document findings and evidence to support continue, pivot or stop recommendations led by product and technical leaders.
• Contribute to the transition from validated MVP to production, including design, engineering, integration, testing, security, deployment, monitoring, documentation and support readiness.
• Build reliable, maintainable solutions that follow GSK Digital and Tech requirements for privacy, quality, compliance, performance, resilience and user experience.
• Develop configurable components, reusable services, data products and patterns that support expansion across Medical Affairs teams and use cases.
• Implement product measures and production telemetry to track adoption, service performance, data quality and opportunities for improvement.
• Investigate defects and technical debt, escalating complex decisions and balancing delivery speed with maintainability.
• Contribute to Data Generation products that improve visibility across evidence planning, study execution, evidence generation, data quality, analysis and reporting.
• Develop Digital, AI and Tech capabilities across medical writing, publications, congress activity, content development, scientific dissemination, reach, engagement and impact in Scientific Communications.
• Build AI-enabled features that identify inquiry trends, knowledge gaps, response performance, content needs and emerging scientific questions in Medical Information.
• Contribute to solutions that strengthen planning, engagement and measurement of scientific exchange, stakeholder engagement, field insights, content use and follow-up in MSL Engagement.
• Connect data across these domains to create trusted dashboards, analytical and insights products, and decision-support experiences.
• Use approved AI coding assistants and agent-based workflows for coding, testing, review, documentation and operational support, applying human judgement and validation throughout.
• Apply GenAI, machine learning, natural language processing, knowledge retrieval and analytics patterns under established technical guidance when appropriate.
• Implement human-in-the-loop controls, evaluation tests and monitoring so AI-enabled capabilities remain accurate, explainable, responsible and fit for Medical Affairs use.

What you'll need

• 3–5 years of full-stack, data, analytics or software engineering experience, including meaningful contributions to production applications or data products.
• Experience translating defined business or user needs into working software, prototypes or analytical solutions in collaboration with product and technical colleagues.
• Working proficiency in one or more modern programming languages or frameworks.
• Hands-on experience in several of the following: data engineering, APIs, cloud platforms, application development, automated testing, DevSecOps, observability or production support.
• Practical exposure to GenAI patterns such as retrieval-augmented generation, prompt engineering, agents, evaluation or responsible human oversight.
• Ability to work with business stakeholders and end users, ask effective questions, explain technical choices, and communicate progress and risks clearly.
• Awareness of security, privacy, quality and compliance expectations; experience in a regulated or high-control environment is beneficial.
• Bachelor's degree in Computer Science, Software Engineering, Data Science, Analytics, Engineering or a related field, or equivalent practical experience.

Nice to have

• Experience contributing to data products, dashboards, analytical applications, decision-support tools or insight-generation capabilities.
• Interest in or exposure to Medical Affairs processes across data generation, scientific communications, medical information, field medical or MSL engagement, and impact measurement.
• Experience in customer engineering, solutions engineering, product engineering, consulting or a fast-paced delivery environment.
• Examples of reusing components or patterns to improve delivery speed, quality or consistency across more than one solution.

Details

• Location: Bengaluru Luxor North Tower.