Global Development Scientist, Clinical Development

Overview

Provide scientific and clinical input to late-stage product development and AI-assisted ways of working, focused on pivotal clinical trials in the Respiratory therapeutic area, and act as a lead for selected AI-enabled use cases.

What you'll do

• Provide scientific leadership in the design, execution and interpretation of clinical trials in one or more development programs.
• Collaborate across Patient Safety, Regulatory Affairs, Clinical Operations, and early development groups.
• Primarily work on late-stage (Phase IIb and Phase III) clinical programs, collaborating with clinical colleagues on early-stage programs and with medical affairs colleagues.
• Provide expert scientific input into regulatory documents and interactions with regulatory authorities.
• Provide expert scientific review, analysis, and interpretation of data from ongoing studies and the literature.
• Lead development of quality metrics and data review plans for assigned studies.
• Identify and prioritise clinical development activities where AI assistance can add value, define the clinical problem and intended outcome, and agree fit-for-purpose success measures with study and functional partners, including stakeholder alignment, workflow integration, user feedback, training, adoption monitoring and transition from pilot to sustained use.
• Support and contribute to medical monitoring of trials.
• Lead and participate in activities that ensure quality, consistency and integration of clinical study deliverables and ensure the safety evaluation process within the clinical team.
• Provide clinical leadership for the testing and validation of AI-assisted outputs, ensuring appropriate human review, traceability, data quality, privacy, security and compliance with applicable quality and regulatory expectations, embedding fit-for-purpose methods into study and programme workflows.
• Ensure scientific input to TA standards.
• Provide scientific evidence to support strategic decision making for R&D, marketing, clinical, and business development departments.
• Present protocol and scientific results to multidisciplinary teams and key stakeholders.
• Develop and review protocols, informed consent, investigator's brochure and other clinical development documents.
• Organize and analyse data from clinical research to build new hypotheses.
• Support upskilling in AI-enhanced working methods and contribute to AI capability development across Respiratory Clinical Development.
• Engage with AI user networks and cross-functional initiatives to share learning, promote reuse, and scale AI-assisted practices.

What you'll need

• Relevant Bachelor's or Master's degree with experience from clinical development.
• Three or more years of relevant pharmaceutical industry experience (multi-country clinical trials) is required.
• Understanding of scientific and clinical issues related to the design and implementation of clinical trials and interpreting trial results, particularly in respiratory and immunology clinical development.
• Proven ability to work collaboratively in a cross-functional setting.
• Experience particularly in Phase II and Phase III clinical development.
• Experience using AI technologies and building or deploying AI solutions in a work environment, with demonstrated competence applying AI in clinical, biomedical or drug development settings.
• Strong proficiency in daily knowledge work with agentic AI tools, applying appropriate human judgement and oversight.
• Experience working in GCP-compliant environments, and excellent understanding of principles of GCP.
• Total years of experience: 10 to 15 years.

Nice to have

• Proven track record of leading practice change and pioneering new technologies or ways of working, with measurable impact in biomedical, clinical or drug development settings.
• Excellent written and verbal communication skills, with the ability to explain new AI concepts, evidence, benefits and limitations clearly to clinical and scientific audiences.
• Experience with regulatory submissions, life cycle management, advisory boards, annual safety updates.
• Experience working with or implementing governance frameworks related to data and AI solutions.
• Experience in AI method development or in leading the build or deployment of AI solutions, with demonstrated impact in clinical, biomedical or drug development settings.
• Technical expertise in modern AI methodologies and software development skills in Python and/or experience leveraging coding-agent frameworks.

Details

• Location: Manyata Tech Park, Bangalore, India.
• Work type: Hybrid; on average a minimum of three days per week from the office.
• Objectives established by the Global Clinical Program Lead (GCPL) in agreement with the Global Clinical Head (GCH).
• Date posted 23-Oct-2026; closing date 10-Nov-2026.