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Elucidata is a data-centric AI company transforming life sciences by making biomedical research AI-ready. The company's flagship platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data to accelerate drug discovery and precision medicine. Headquartered in San Francisco with 120+ employees across the US and India, Elucidata partners with 25+ leading organizations including Pfizer, Novo Nordisk, Google DeepMind, and the Bill & Melinda Gates Research Institute. The company has been recognized by Fast Company as the "Most Innovative Biotech Company of 2024" and is backed by top-tier investors including Eight Roads, F-Prime, IvyCap, and Hyperplane.
The Scientific Engagement Manager role bridges deep scientific understanding with commercial acumen to drive new business growth at the intersection of science, strategy, and commercial. You will engage R&D leaders in meaningful scientific discussions, uncover data and AI opportunities, and help shape solutions that advance target and drug discovery.
Key responsibilities include: leading scientific discussions with senior stakeholders across BioPharma, Biotech, Diagnostics, CRO/CDMO, and research institutions to identify opportunities where AI and multi-omics can accelerate research; acting as a trusted scientific advisor understanding customer challenges spanning target discovery, translational research, biomarker discovery, clinical development, and real-world evidence; translating complex biological questions into scalable data science and AI solution approaches; partnering with Solution Managers, Technical Owners, Product, and Delivery teams to design customer solutions; developing scientific proposals, solution architectures, technical presentations, and statements of work for strategic opportunities; representing Elucidata through in-person customer whiteboarding sessions, executive briefings, webinars, and demonstrations; and driving end-to-end project execution from pre-sales through delivery, including technical oversight and mentoring junior bioinformaticians.
Requirements:
- Advanced degree (Master's or PhD) in Life Sciences, Bioinformatics, Computational Biology, or related field
- 8+ years of experience in scientific development, pre-sales, or consulting in BioPharma, TechBio, or CRO environments
- Deep hands-on understanding of multi-omics data analysis, including bulk and single-cell transcriptomics, spatial omics, genomics, and integrative multi-omics approaches applied to drug discovery and translational research
- Strong expertise in single-cell data analysis and familiarity with leading computational workflows and interpretation methodologies
- Proven experience engaging scientific and business stakeholders across pharmaceutical or biotechnology organizations
- Ability to translate complex scientific problems into AI-enabled analytical solutions
- Experience supporting scientific consulting, solution design, technical pre-sales, or customer-facing scientific engagements
- Familiarity with cloud-based data platforms and modern bioinformatics pipelines (helpful)
- Excellent communication, presentation, and storytelling skills with ability to explain complex scientific concepts to both technical and executive audiences
