Senior Expert Data Science, Scientific Innovation

Key Responsibilities:
- Translate complex biomedical questions into scalable artificial intelligence and machine learning solutions
- Collaborate with researchers and domain experts to deliver impactful insights for drug discovery
- Ensure robust model development, validation, and performance across diverse scientific use cases
- Partner with engineering and product teams to deploy and scale AI solutions
- Act as liaison between AI for Research and Biomedical Research stakeholders
- Identify high-impact research problems and design data-driven solutions
- Communicate model outcomes, insights, and impact clearly to scientific and leadership audiences
- Co-create and foster cross-functional collaborations to advance AI innovation
- Develop meaningful evaluation metrics aligned with real-world scientific and therapeutic impact
- Promote adoption of AI methodologies across Biomedical Research teams

Essential Requirements:
- Minimum 5 years of experience applying AI/ML to scientific or biomedical problems
- Expertise in drug discovery domains (e.g., target identification, computational chemistry, translational medicine)
- Strong experience developing, validating, and deploying ML models in research environments
- Ability to translate complex research questions into scalable data science solutions
- Excellent stakeholder engagement, communication, and influencing skills
- Proven ability to work effectively in complex, matrixed organizations with ownership and execution focus

Desirable Requirements:
- Experience using Python, R, or SQL for advanced scientific data analysis
- Familiarity with emerging AI methods such as generative AI or deep learning