Lead data science and governance initiatives across R&D scientific platforms at Elanco.
Responsibilities
Define and operationalize R&D-wide data governance policies and SOPs
Advise on data attributes, metadata standards, ontologies, and master data models
Drive data readiness across R&D scientific platforms such as ARCHI, Benchling, Revvity, and Clinical Systems
Design, build, and deploy machine learning and statistical models using harmonized data
Implement automated data quality frameworks and monitoring
Requirements
Bachelor's degree in Data Science, Computer Science, Bioinformatics, Computational Biology, Information Systems, Operations Research, or related quantitative/life sciences discipline
Master's degree in same fields
Nice to have: Biomedical ontologies (MeSH, SNOMED, ChEMBL, CDISC/SDTM/ADaM)
The expected salary range for this position based on the primary location of CA is 170,200-$316,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Own the multi-year product vision, strategy, and roadmap for AI-orchestrated laboratory workflows and automation globally
Identify high-value opportunities where AI, intelligent automation, optimization, and agentic capabilities can improve experiment planning, laboratory execution, scientific throughput, and researcher experience
Partner closely with scientists and laboratory teams to understand existing workflows and determine where automation, AI, or workflow redesign can remove bottlenecks and improve experimental outcomes
Guide emerging capabilities—including experiment planning, intelligent scheduling, agentic execution, and anomaly detection—from prototype to production-scale scientific adoption
Lead multidisciplinary global teams spanning product, scientific SMEs, AI/ML, software and data engineering, automation engineering, UX, laboratory operations, security, quality, and external vendors
Requirements
Advanced degree (Master’s or Ph.D.) in Life Sciences, Bioengineering, Robotics, Computer Science, AI/ML, or an adjacent quantitative discipline
Nice to have: high-throughput laboratory automation ecosystems
Postdoctoral Researcher
Lawrence Berkeley National Laboratory · Posted Nov 11, 2026
Lead and coordinate research syntheses using AmeriFlux’s extensive, long-term data holdings to advance understanding of ecosystem–atmosphere interactions.
Compensation
Salary range: The monthly salary range for this position is $6,790 - $9,234 and is expected to start at $6,790 or above.
Responsibilities
Lead research syntheses using long-term AmeriFlux data
Coordinate research synthesis activities including workshops, webinars, working groups
Engage with AmeriFlux researchers and partners to identify research needs
Communicate findings through publications, presentations, reports, newsletters, and web content
Contribute to grant proposals and project progress reports
