Corteva Agriscience · 19 hours ago
Metabolic Modeling Data Scientist
Corteva Agriscience is a company focused on leading breakthroughs in agriculture through science and technology. They are seeking a Metabolic Modeling Data Scientist to develop predictive genome-scale metabolic models that enhance microbial strain optimization and bioprocess development, collaborating with cross-functional teams to generate actionable insights.
AgricultureFarmers MarketFarming
Responsibilities
Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches
Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses
Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield
Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity
Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable
Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning
Qualification
Required
PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields
Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement
Strong programming skills in Python (and R) for model development and data integration
Preferred
Experience with industrially relevant non‑model microbes and fermentation datasets
Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks
Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation
Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices
Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms
Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams
Benefits
Numerous development opportunities offered to build your skills
Be part of a company with a higher purpose and contribute to making the world a better place
Health benefits for you and your family on your first day of employment
Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
Excellent parental leave which includes a minimum of 16 weeks for mother and father
Future planning with our competitive retirement savings plan and tuition reimbursement program
Company
Corteva Agriscience
Corteva Agriscience provides agronomic support and services to help increase farmer productivity and profitability.
H1B Sponsorship
Corteva Agriscience has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (52)
2024 (59)
2023 (40)
2022 (48)
2021 (35)
Funding
Current Stage
Public CompanyTotal Funding
$1.7B2025-05-12Post Ipo Debt· $500M
2023-05-11Post Ipo Debt· $1.2B
2019-06-03IPO
Leadership Team
Recent News
2026-01-13
2026-01-07
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