Spatial Transcriptomic Postdoc Scientist (Chesterfield, Missouri, US)
About this opportunity
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.
Spatial Transcriptomic Postdoc Scientist
Position Overview
As a Postdoctoral Scientist, you will serve as a key technical transcriptomics expert within Plant Biotechnology at Bayer Crop Science R&D. You will be responsible for the execution and analysis of single-cell or spatial transcriptomics and technical reporting. With a focus on functional genomics, you will provide insights to support decision-making, problem-solving, and pipeline innovation.
YOUR TASKS AND RESPONSIBILITIES
Analyze spatial transcriptomic data for quality assessment and evaluation of experimental success;
Conduct in-depth data analyses and design controlled experiments in collaboration with cross-functional partners, coordinating their implementation to enable project success;
Establish and optimize RNA sequencing protocols for single-cell or spatial transcriptomics applications;
Understand and anticipate broader project/team interests, identifying, proposing, and performing complementary analyses to enrich insights from multiple modalities/data layers;
Demonstrate commitment to inclusion and safety, adhering to safety protocols and best practices;
Maintain detailed record-keeping and required documentation;
Thrive on meeting challenges, insisting on high-quality deliverables, and demonstrating effective problem-solving skills while building productive external and internal relationships;
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.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
Ph.D. in a biological/biomedical, molecular or cell biology, genetics/genomics, computational field, or similar area;
Experience with next-generation sequencing library preparation;
Experience with next-generation transcriptomics analysis or a related area;
Familiarity with innovative or emerging fields of study.
Preferred Qualifications:
Familiarity with spatial transcriptomics methodologies for analysis;
Experience working in a Linux environment and at least one programming language (Python, R, etc.);
Library preparation for cell-based resolution transcriptomics techniques (such as single-cell RNA sequencing or spatial transcriptomics libraries);
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.
Location: Chesterfield, Missouri (St. Louis area). Domestic relocation may be available for this role. The employment type for this role is limited and has a duration not to exceed 24 months.
Employees can expect to be paid a salary between $78,640.00 - $117,960.00 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least August 12 , 2026.
YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
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.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location: United States : Missouri : Chesterfield Division: Crop Science Reference Code: 878467 Contact Us Email: hrop_usa@bayer.com ]]>
Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 56 comparable Intern/Fellow/Postdoc Drug Discovery & Preclinical Research roles across 17 biopharma companies.
Salary context
18 of 56 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 56 comparable roles
Seniority mix
56 of 56 peers have a known seniority level
Therapeutic area mix
9 of 56 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.