Biologicals Discovery Data Scientist

Corteva Agriscience • Indianapolis, IN • 2h ago

Corteva Agriscience is seeking an innovative, collaborative, and enthusiastic Data Scientist with a strong foundation in machine learning, deep learning, and life or physical sciences. The successful candidate will join a strong, globally distributed Data Science team applying advanced analytics and AI to accelerate biologicals discovery - spanning both microbial and natural products discovery - for crop health. This is a high-impact opportunity to shape how modern AI and predictive modeling are applied across these discovery pipelines, partnering closely with data scientists, data engineers, genomics and metabolomics scientists, chemists, and biologists to deliver differentiated solutions to agriculture.

The preferred location for this position is our Corteva Global Headquarters in Indianapolis, Indiana, USA.

What You'll Do:

Innovate at the interface of data science, chemistry, and biology to drive discovery of novel microbial and natural products solutions for crop health

Develop predictive models that integrate genomic, metabolomic, and phenotypic data to characterize and prioritize promising candidates

Build models that connect insights across discovery pipelines, helping identify opportunities that might otherwise be missed within a single pipeline

Actively seek, evaluate, and implement modern AI/ML methods - including deep learning and modern architectures - to advance predictive modeling capabilities

Partner with collaborators across domains to drive integrated discovery pipelines and candidate prioritization, selection, and advancement toward new microbial and natural products solutions

What Skills You Need:

Minimum MS with 5+ years of post-graduation work experience, or Ph.D., in quantitative fields (e.g., Data Science, Statistics, Mathematics, Computer Science) or in life or physical sciences (e.g., Biology, Chemistry)

Strong understanding of biology, with the ability to critically evaluate model outputs to generate testable and business-relevant biological and biochemical hypotheses

Demonstrated experience with modern machine learning and deep learning methods, including hands-on experience with a modern AI stack (e.g., PyTorch, transformer architectures, generative AI methods), and a solid understanding of the math and model behavior to make sound methodological judgment (e.g., appropriate training design, evaluation metrics, model calibration)

Demonstrated ability to independently frame a research problem, define success criteria and evaluation approach, and clearly articulate findings - from early-stage ambiguity through to a well-structured, communicated result

Strong foundation in Python or a similar programming language for data wrangling, analysis, and ML applications

Excellent verbal and written communication skills with ability to work as part of a cross-functional project team

Preferred Skills:

Experience with multi-modal, integrative, or digital twin modeling approaches

Experience integrating genomic, metabolomic, and/or phenotypic data for predictive modeling

Experience with generative AI approaches applied to life sciences

Experience or education in natural products chemistry/biochemistry or microbiology

Experience deploying ML models to production, with MLOps practices such as version control, containerization, workflow orchestration, and reproducible, maintainable pipelines

Practical knowledge and experience with cloud-computing systems and platforms

Experience with agentic AI systems or tool-use/multi-agent architectures

LI-BB1

Benefits - How We'll Support You:

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

Learn more about our total rewards package here - Corteva Benefits (https://hrportal.ehr.com/LinkClick.aspx?fileticket=2Nre68t3vrs%3d&portalid=351)

Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Corteva Agriscience is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:Accessibility Page for Contact Information

For US Applicants: See the 'Equal Employment Opportunity is the Law' poster. To all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.

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