Senior Bioprocess Data Scientist — Adaptive Control & ML

corteva; Indianapolis (IN); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Well-being pay

Parental leave

Retirement plan

Tuition reimbursement

Life at Corteva

Job summary

Corteva Agriscience seeks a Senior Data Scientist with bioprocess control experience to join our global Data Science team. You will apply AI, ML, and statistical modeling to develop adaptive control algorithms for fermentation and downstream processing, improving productivity and cost efficiency.

You will collaborate with engineers and scientists to translate process insights into actionable improvements, analyze complex bioprocess data, and communicate findings to stakeholders across functions,

Qualifications

• MS/PhD or equivalent in Data Science, CS, Chemical/Bioengineering, Statistics or related field.
• Strong foundation in ML, statistics and process control.
• Excellent collaboration and communication across multidisciplinary teams.

Responsibilities

• Design adaptive process control strategies using online measurements and parameter tuning.
• Develop and deploy predictive models for bioprocess optimization (fermentation, downstream).
• Collaborate with engineers and scientists to translate insights into actionable improvements.
• Analyze complex bioprocess data: sensor data, batch records, experimental results.
• Communicate findings through visuals, reports and presentations to diverse stakeholders.
• Contribute to data pipelines and modeling frameworks for bioprocess control.

Skills

MS/PhD

Bioprocess Eng

Data Science

Process Control

Education

MS or PhD

Tools

Python

R

Job description

Corteva Agriscience seeks a Senior Data Scientist with bioprocess control experience to join our global Data Science team. You will apply AI, ML, and statistical modeling to develop adaptive control algorithms for fermentation and downstream processing, improving productivity and cost efficiency.

You will collaborate with engineers and scientists to translate process insights into actionable improvements, analyze complex bioprocess data, and communicate findings to stakeholders across functions,