AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that concentrates on the discovery, development and commercialization of prescription medicines addressing some of the planet’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies.
Post : Global Development Scientist, Clinical Development
Job Description
• Provide scientific leadership in the innovative design, execution and interpretation of clinical trials in one or more development programs.
• Effectively collaborate across other functions such as Patient Safety, Regulatory Affairs, Clinical Operations, and early development groups.
• Be involved primarily in late stage (PhIIb and Phase III) clinical programs and to collaborate with clinical colleagues supporting early-stage programs as well as medical affairs colleagues.
• Provide expert scientific input into the preparation of regulatory documents and interactions with regulatory authorities.
• Provide expert scientific review, analysis, and interpretation of data from ongoing studies and in the literature.
• Lead development of quality metrics and data review plan for assigned studies.
• Identify and prioritise clinical development activities where AI assistance can add meaningful 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 related deliverables and ensure 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 hypothesis.
• Support upskilling in AI-enhanced working methods. 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.
Candidate Profile
• Relevant Bachleors or Masters degree with experience from clinical development.
• Three or more years of relevant pharmaceutical industry experience (multi-country clinical trials) is required.
• Understanding of scientific & 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 in working in GCP-compliant environments, and excellent understanding of principles of GCP
Desirable Skills / Experience :
• 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.
Additional Information
Experience : 10 to 15 years
Qualification : Bachleors or Masters degree
Location : Manyata Tech Park, Bangalore
Industry Type : Pharma/ Healthcare/ Clinical research
Functional Area : Clinical Development
End Date : 10th November 2026
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