Senior Expert Data Science, Scientific Innovation
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Responsibilities
- Translate complex biomedical research questions into actionable artificial intelligence and machine learning solutions
- Partner with scientists and domain experts to identify high-impact opportunities for artificial intelligence in drug discovery
- Collaborate with AI modelers to design, validate, and optimize robust and scalable predictive models
- Work closely with engineering and product teams to deliver production-ready artificial intelligence solutions
- Drive scientific rigor and innovation in the application of advanced analytics across research programs
- Act as a liaison between AI for Research and Biomedical Research stakeholders to ensure alignment and impact
- Communicate insights, results, and value of artificial intelligence applications to diverse scientific and leadership audiences
- Co-create and lead collaborations across disease areas and functional teams to accelerate discovery outcomes
- Define and implement meaningful metrics to evaluate model performance and real-world research impact
- Stay current with emerging artificial intelligence trends and translate them into practical research applications
- Essential Requirements
- 5+ years of experience applying artificial intelligence and machine learning to scientific or biomedical research problems
- Proven expertise in translating complex research questions into scalable analytical and predictive solutions
- Domain knowledge in drug discovery such as target identification, computational chemistry, or translational medicine
- Strong experience in model development, validation, deployment, and real-world adoption of machine learning solutions
- Deep understanding of drug development processes and applying advanced analytics within large research organizations
- Ability to collaborate effectively across multidisciplinary teams and influence stakeholders at multiple organizational levels
- Strong problem-solving, organizational, and communication skills with the ability to drive alignment and results
- Demonstrated ownership mindset with the ability to prioritize and execute in complex, matrixed environments
- Desirable Requirements
- Experience collaborating with academic or industry leaders to advance artificial intelligence innovation in biomedical research
- Exposure to cross-functional product or engineering environments supporting scalable digital solutions for research teams
- Commitment to Diversity and Inclusion:
- Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
- Accessibility and accommodation
- Skills Desired
Additional Information
Job Description Summary #LI-Hybrid Location: Hyderabad, India Relocation Support: Yes Reimagine the future of drug discovery by applying cutting-edge artificial intelligence to some of the most complex challenges in biomedical research. As a Senior Specialist Data Science & AI, you will help translate critical scientific questions into impactful data science solutions that accelerate innovation across Novartis' research pipeline. Working at the intersection of science, technology, and collaboration, you will partner with leading researchers, artificial intelligence specialists, and cross-functional teams to shape scalable solutions that improve discovery, enable smarter decisions, and ultimately help transform patient outcomes. AI4R partners with drug discovery teams, raises the level of AI expertise across BR, and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry. This role within the Scientific Innovation group of AI4R will be tasked with ensuring scientific rigor and innovation for AI applications and methods for drug discovery. Additionally, the role would be expected to act as the SME liaison of AI4R to BR Disease Areas (DAs) and Function Areas (FAs). Job Description
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