Senior Principal Data Scientist, GenAI - Global Development

Description

The team sits inside the company, within Data, Data Science, and AI for Global Development. The role sets direction for reusable analytical products that support clinical operations, feasibility, patient access, quality, and portfolio performance across Global Development.

Job function: Data Analytics & Computational Sciences. Sub function: Data Science. Category: Scientific/Technology.

Locations: Bangalore, Karnataka, India; Beerse, Antwerp, Belgium; Madrid - Lafinca; Penjerla, Telangana, India.

Responsibilities

• Set strategy and lead cross-functional programs that scale reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development.
• Oversee the design, rollout, and lifecycle of reusable analytical platforms and products for clinical operations, feasibility, patient access, quality, and portfolio efficiency.
• Build RWD analytics using EHR, claims, registry, and clinical-trial data to produce evidence leaders can act on for study design, program design, patient populations, feasibility, and operations.
• Set standards for solution architecture, validation, monitoring, governance, risk, data quality, privacy, and responsible AI deployment.
• Work with senior leaders to choose high-value opportunities, shape roadmaps, weigh strategic trade-offs, and drive adoption across functions and therapeutic areas.
• Track and raise portfolio impact through product reuse, user adoption, cross-functional value, and results against agreed outcomes.
• Grow team capability through reusable frameworks, productized solutions, shared practices, and mentoring technical staff.
• Act as a senior technical adviser to clinical, operational, technology, and data teams.

Requirements

• A master's degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative field is required. A PhD is preferred.
• At least 8 years of industry experience leading cross-functional programs and reusable data science, AI, optimization, GenAI, or RWD capabilities.
• A record of setting technical direction and leading strategy, product scaling, governance, and adoption from first idea to measurable impact.
• Expertise in predictive modelling, optimization, simulation, GenAI, and RWD analytics in clinical development, clinical operations, healthcare, or another complex regulated setting.
• Experience running production analytical products or platforms with clear standards for validation, performance monitoring, and lifecycle management.
• Strong knowledge of model governance, MLOps, privacy, data quality, risk management, and responsible AI.
• Proven ability to influence at executive level and to develop technical talent and cross-functional capability.
• Preferred: experience in pharmaceutical development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech.
• Preferred: experience setting AI, analytics, or RWD strategy across several programs, therapeutic areas, or enterprise functions.
• Preferred: experience leading analytics for feasibility, site and country selection, enrollment, patient access, protocol optimization, quality, or portfolio planning.
• Skills: advanced analytics, consulting, critical thinking, data analysis, data privacy standards, data quality, data reporting, data savvy, data science, data visualization, digital fluency, econometric models, mentorship, strategic thinking, tactical planning, technical credibility.
• Preferred skills: no separate list was given beyond the skills above.

Conditions

Based in Bangalore, Beerse, Madrid, or Penjerla, depending on the posting location.

Equal opportunity: the company values diversity and treats each employee as an individual.