Senior Scientific Manager

About the Company: Elucidata is an AI Solutions Tech Data-centric AI company on a mission to make life sciences AI-ready. Headquartered in San Francisco with a 120+ member team across the US and India, we’re building the future of data-centric AI for drug discovery. Our flagship AI-Agentic powered platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data, accelerating discoveries and making precision medicine a reality. Recognized by Fast Company as the “Most Innovative Biotech Company of 2024,” Elucidata partners with 25+ leading organizations, including Pfizer, Novo Nordisk, Google DeepMind, Alnylam Therapeutics, and the Bill & Melinda Gates Research Institute. Backed by top VCs like Eight Roads, F-Prime, IvyCap, and Hyperplane. With over 200 data products and AI solutions co-developed by 100+ domain experts, we’ve helped our partners achieve 4X faster R&D milestones and contribute to 16 therapies advancing toward FDA approval. At Elucidata, you’ll work at the intersection of AI, biology and impact while solving real-world challenges that accelerate the journey from data to discovery. About the Role We are hiring a Senior Scientific Manager, Clinical to act as a Technical Owner for clinical data programs at Elucidata. You will lead a small team, set the technical direction, and be accountable for delivery quality and timelines. You will partner with product, engineering, data curation, delivery, and customer teams to design standards based clinical data solutions and ensure smooth execution. What You’ll Own Design and implement scalable clinical and real-world data solutions across EHR, claims, registries, and trial datasets. Develop and maintain data models (conceptual, logical, and physical) ensuring accuracy, consistency, and integrity across systems. Standardize and integrate clinical data by leading terminology mapping (SNOMED CT, LOINC, ICD-10) and ensuring interoperability across platforms. Collaborate with engineering and curation teams on data mapping, ingestion, and exchange workflows to make clinical data AI-ready. Define quality frameworks and validation checks to maintain compliance with HIPAA/HITECH and data governance standards. Create documentation and training materials to drive adoption of standardized templates and best practices. Stay current with evolving standards in EHR documentation, OMOP, and FHIR, and apply them to continuously improve data standardization processes. What Makes You a Great Fit 7–10 years of experience, including 5+ years with clinical/EHR or healthcare datasets. Degree in Biomedical Engineering, Bioinformatics, Health Informatics, or Computer Science. Hands-on expertise in Python, SQL, and experience with AWS/GCP/Snowflake ecosystems. Strong knowledge of health data standards (FHIR, OMOP, HL7, CDISC, ICD-10, SNOMED CT, LOINC). Proven ability to lead cross-functional delivery teams and manage client engagements. Familiarity with AI/ML workflows, NLP for clinical notes, or RWD analytics is a plus. Why Join Elucidata? Opportunity to shape the future of biomedical data ecosystems by building partnerships at the frontier of science and healthcare. Direct visibility with the CEO and leadership team. High-impact role - the partnerships you establish will directly translate into Elucidata’s growth and customer success. Work with global leaders and contribute to data-driven drug discovery. We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, caste, citizenship, marital status, disability, gender identity, or Veteran status. Benefits of working with us: Competitive compensation including ESOPs Unlimited vacation and holiday time off Hybrid work environment (3 days in office) The opportunity to be part of a dynamic team in a growing company