Postdoctoral Scientist: Functional Genome Engineering

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us.

If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

As a Postdoctoral Scientist in Functional Genome Engineering, you will join Bayer Crop Science R&D as a key contributor to functional genomics and high-throughput (HTP) screening initiatives. In this role, you bridge wet lab and computational biology approaches to identify novel targets and biological pathways in organisms of interest. Working closely with a multidisciplinary research team, you will serve as a technical expert responsible for establishing advanced functional genomics platforms, designing and executing HTP genetic perturbation screens, and generating insights that support decision‑making, problem‑solving, and pipeline innovation across the organization.

• Design and execute genetic perturbation screens in various organisms of interest and cell lines;
• Establish and optimize gene perturbation tools and reagents for various applications;
• Conduct in-depth data analyses and design controlled experiments in collaboration with cross‑functional partners, coordinating their implementation to enable project success;
• Understand and anticipate broader project and team interests, identifying, proposing, and performing complementary analyses to enrich insights from multiple modalities and data layers;
• Conduct complex activities that require specialized knowledge and the broad application of scientific principles;
• Take initiative in keeping current with literature in areas of assignment and professional interest;
• Maintain detailed record‑keeping and required documentation;
• Demonstrate commitment to inclusion and safety, adhering to safety protocols and best practices.

• Ph.D. in a biological or biomedical field, molecular or cell biology, genetics or genomics, bioinformatics, or a similar area;
• Proven experience with CRISPR screens or related gene perturbation technologies using pooled or targeted approaches;
• Experience with next‑generation transcriptomics analysis or a related area;
• Experience working in an AWS cloud computing environment and proficiency in at least one programming language (Python, R, etc.);
• Familiarity with innovative or emerging fields of study;
• Strong problem‑solving skills with a commitment to high‑quality deliverables and the ability to build productive internal and external relationships.

• Experience with library preparation for high‑throughput pooled or targeted approaches screening techniques;
• Knowledge of machine learning applications for functional genomics;
• Experience with agricultural specimens;
• Experience collaborating across multiple teams, fostering a team‑based approach to research, and leveraging partnerships;
• Experience clearly communicating project plans and experimental results with partners and stakeholders, maintaining alignment on objectives and priorities.

• Employees can expect to be paid a salary between $78,600 – $118,000 per year.
• Additional compensation may include a bonus or commission (if relevant).
• Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

This posting will be available for application until at least October 15, 2026.

Bayer is an Equal Opportunity Employer/Disabled/Veterans.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer is an E-Verify Employer.

Location:

United States :
Missouri :
Chesterfield

Division:
Crop Science

Reference Code: 890483

Email: