STEM OPT Bioinformatics Jobs
Bioinformatics roles in genomics, computational biology, and data analysis are strong matches for STEM OPT work authorization. Your STEM degree qualifies you for the 24-month extension beyond initial OPT, giving you up to 36 months total, as long as your employer is enrolled in E-Verify.
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Get Access To All JobsINTRODUCTION
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.
Genome Editing Scientist-Bioinformatics
You will enable data-driven decisions on target selection, experimental design, and editing outcome interpretation by developing reproducible analyses, predictive models, and clear visualizations; You will partner closely with molecular and structural biology colleagues to translate biological questions into computational strategies and to connect prediction with experimental validation.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
- Build and maintain reproducible pipelines and integrated datasets (e.g., sequence, accessibility/expression, structure) to evaluate and optimize editing tool performance across germplasm and testing systems;
- Develop and apply statistical and machine learning models and metrics to quantify drivers of editing efficiency and precision and to compare tool variants across genomic contexts;
- Develop computational approaches to improve the design of precise editing components, including guide and target selection and constraint-aware design;
- Analyze large-scale sequencing datasets to characterize editing outcomes, fidelity, and error modes, and generate clear visualizations and decision-ready summaries;
- Partner with molecular and structural biology teams to design experiments, define analysis plans, and translate multi-modal data into actionable recommendations for tool development;
- Collaborate closely with genomics, functional genomics, and digital/data science stakeholders to ensure that tools, pipelines, and analyses are scalable, robust, and aligned with broader platform needs.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- PhD in bioinformatics, computational biology, genomics, or a related field, or a Master’s degree with 3+ years of additional relevant experience;
- Strong programming skills in languages relevant to biological data analysis (e.g., Python, R) and ability to write maintainable, well-documented code;
- Experience analyzing genome editing NGS datasets (e.g., amplicon or targeted sequencing) and interpreting results in the context of CRISPR-Cas and related editing technologies;
- Knowledge of statistical methods for analyzing editing precision and efficiency, and ability to clearly communicate underlying assumptions and limitations;
- Experience with plant functional genomics analyses (e.g., differential expression) and ability to integrate multi-omics signals for hypothesis generation;
- Strong communication and collaboration skills, including the ability to translate computational results for diverse audiences and to work effectively across multidisciplinary teams.
Preferred Qualifications:
- Experience applying GenAI and large language models to scientific workflows, such as text mining and code or workflow acceleration, with appropriate data and privacy practices;
- Background in protein structure prediction and analysis, protein engineering (structure–function), and protein–nucleic acid interactions;
- Experience with RNA structure analysis and/or molecular simulation methods (e.g., molecular dynamics);
- Experience with chromatin accessibility and structure analysis (e.g., ATAC-seq) and advanced machine learning approaches for editing-tool optimization;
- Knowledge of DNA repair pathways and their influence on editing outcomes;
- Experience with HPC-scale computing and optimization methods for experimental design, including parallelization and workflow performance tuning.
COMPENSATION
- Salary Range: $76,480.00 - $114,720.00
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 May 7, 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
Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 867175
Contact Us
Email: hrop_usa@bayer.com
INTRODUCTION
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.
Genome Editing Scientist-Bioinformatics
You will enable data-driven decisions on target selection, experimental design, and editing outcome interpretation by developing reproducible analyses, predictive models, and clear visualizations; You will partner closely with molecular and structural biology colleagues to translate biological questions into computational strategies and to connect prediction with experimental validation.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
- Build and maintain reproducible pipelines and integrated datasets (e.g., sequence, accessibility/expression, structure) to evaluate and optimize editing tool performance across germplasm and testing systems;
- Develop and apply statistical and machine learning models and metrics to quantify drivers of editing efficiency and precision and to compare tool variants across genomic contexts;
- Develop computational approaches to improve the design of precise editing components, including guide and target selection and constraint-aware design;
- Analyze large-scale sequencing datasets to characterize editing outcomes, fidelity, and error modes, and generate clear visualizations and decision-ready summaries;
- Partner with molecular and structural biology teams to design experiments, define analysis plans, and translate multi-modal data into actionable recommendations for tool development;
- Collaborate closely with genomics, functional genomics, and digital/data science stakeholders to ensure that tools, pipelines, and analyses are scalable, robust, and aligned with broader platform needs.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- PhD in bioinformatics, computational biology, genomics, or a related field, or a Master’s degree with 3+ years of additional relevant experience;
- Strong programming skills in languages relevant to biological data analysis (e.g., Python, R) and ability to write maintainable, well-documented code;
- Experience analyzing genome editing NGS datasets (e.g., amplicon or targeted sequencing) and interpreting results in the context of CRISPR-Cas and related editing technologies;
- Knowledge of statistical methods for analyzing editing precision and efficiency, and ability to clearly communicate underlying assumptions and limitations;
- Experience with plant functional genomics analyses (e.g., differential expression) and ability to integrate multi-omics signals for hypothesis generation;
- Strong communication and collaboration skills, including the ability to translate computational results for diverse audiences and to work effectively across multidisciplinary teams.
Preferred Qualifications:
- Experience applying GenAI and large language models to scientific workflows, such as text mining and code or workflow acceleration, with appropriate data and privacy practices;
- Background in protein structure prediction and analysis, protein engineering (structure–function), and protein–nucleic acid interactions;
- Experience with RNA structure analysis and/or molecular simulation methods (e.g., molecular dynamics);
- Experience with chromatin accessibility and structure analysis (e.g., ATAC-seq) and advanced machine learning approaches for editing-tool optimization;
- Knowledge of DNA repair pathways and their influence on editing outcomes;
- Experience with HPC-scale computing and optimization methods for experimental design, including parallelization and workflow performance tuning.
COMPENSATION
- Salary Range: $76,480.00 - $114,720.00
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 May 7, 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
Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 867175
Contact Us
Email: hrop_usa@bayer.com
See all 43+ Bioinformatics jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Bioinformatics
Verify your CIP code matches bioinformatics
Your degree's Classification of Instructional Programs code must map to a STEM-designated field. Check your I-20 and confirm with your DSO that your program qualifies, since bioinformatics, computational biology, and related fields each have distinct CIP codes.
Confirm E-Verify enrollment before accepting offers
Before signing, ask your hiring contact to confirm their E-Verify Company ID or look it up through E-Verify's employer search. Smaller biotech startups and university-affiliated labs frequently lack E-Verify enrollment, which disqualifies them from hosting STEM OPT extensions.
Use Migrate Mate to target verified bioinformatics employers
Search Migrate Mate to find bioinformatics roles at employers already confirmed as E-Verify participants. Filtering for verified employers at the research stage saves time and prevents late-stage offer complications once your STEM OPT extension timeline is already in motion.
Build your I-983 training plan around job duties
Your Form I-983 must list specific learning objectives tied to your actual role, not a generic job description. For bioinformatics positions, map duties like pipeline development, variant calling, or RNA-seq analysis directly to the STEM learning goals your DSO must sign off on.
Check O*NET to align your job title with STEM criteria
USCIS expects the offered role to require a STEM degree. Cross-referencing your job title against O*NET confirms whether the occupation is classified as STEM-qualifying, which strengthens your extension application and gives your employer documentation support if questions arise.
File your STEM OPT extension application 90 days early
USCIS requires your I-765 extension application to be filed at least 90 days before your initial OPT expires. Bioinformatics job timelines can stretch, so starting this process while still interviewing protects your authorization gap and preserves your full 24-month extension window.
Bioinformatics jobs are hiring across the US. Find yours.
Find Bioinformatics JobsFrequently Asked Questions
Does my bioinformatics degree qualify me for the STEM OPT extension?
Your degree qualifies if its CIP code appears on the STEM Designated Degree Program List maintained by the Department of Homeland Security. Degrees in bioinformatics, computational biology, biostatistics, and related fields typically qualify, but the determining factor is your specific program's CIP code on your I-20, not the degree title. Confirm with your DSO before applying.
Do bioinformatics employers need to be on E-Verify for STEM OPT?
Yes. E-Verify enrollment is a hard requirement for any employer hosting a STEM OPT extension student, not a preference. If your employer isn't enrolled, your extension cannot be approved regardless of how well the role matches your degree. Before you reach the offer stage, search E-Verify's employer directory or ask your recruiter directly for their Company ID.
What goes into the I-983 training plan for a bioinformatics role?
The I-983 requires a structured training plan that links your specific job duties to concrete STEM learning goals. For bioinformatics, this means documenting how tasks like genomic data analysis, algorithm development, or database pipeline work advance skills in your field. Both you and your employer supervisor must sign it, and your DSO must receive a copy before your extension is filed with USCIS.
How does cap-gap work if my H-1B is selected while I'm on STEM OPT?
If your H-1B petition is filed and accepted before your STEM OPT authorization expires, cap-gap automatically extends your work authorization through September 30 of that year. This keeps you employed continuously while USCIS adjudicates your H-1B. Your employer doesn't need to take any separate action, but your DSO should update your SEVIS record to reflect the cap-gap status.
Where can I find bioinformatics jobs at E-Verify enrolled employers?
Migrate Mate lists bioinformatics roles filtered for E-Verify compliance, which removes the most common early-stage obstacle for STEM OPT students. Many postings on general platforms don't disclose E-Verify status, forcing you to find out late in the process. Searching through Migrate Mate surfaces employers already confirmed as eligible hosts before you invest time in applications.
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