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Precision Genomics Data Science Co-op

Chesterfield, MO, US

Pay
$22.75–47.75Period not stated · Location-specific pay — pay source
* One to two years of experience with machine learning modeling and working with genomics data; * Strong analytical and problem‑solving skills. Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or 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 March 19, 2027
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Work setup
Unconfirmed
Employment
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Education & alternatives
Required Qualifications: * Currently pursuing a Master’s or Ph.D. in a relevant discipline (Data Science, Machine Learning, Electrical/Industrial Engineering, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science, or other related quantitative discipline); * Intermediate proficiency in computational skills and experience building data models using R, Python, or other statistical and/or mathematical programming packages; * Strong proficiency in predictive modeling, including comprehension of theory, modeling/identification strategies, and awareness of limitations and pitfalls; * Intermediate proficiency in machine learning algorithms and concepts; * Experience delivering valuable analysis through application of domain knowledge, demonstrating strong business acumen; * Strong communication skills, including the ability to present and deliver complex quantitative analyses in a clear, concise, and actionable manner to extended teams and small groups of key stakeholders. Preferred Qualifications:

Tools in this posting

  • Python
  • R
Source — Tool mentions in context
Required Qualifications: * Currently pursuing a Master’s or Ph.D. in a relevant discipline (Data Science, Machine Learning, Electrical/Industrial Engineering, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science, or other related quantitative discipline); * Intermediate proficiency in computational skills and experience building data models using R, Python, or other statistical and/or mathematical programming packages; * Strong proficiency in predictive modeling, including comprehension of theory, modeling/identification strategies, and awareness of limitations and pitfalls; * Intermediate proficiency in machine learning algorithms and concepts; * Experience delivering valuable analysis through application of domain knowledge, demonstrating strong business acumen; * Strong communication skills, including the ability to present and deliver complex quantitative analyses in a clear, concise, and actionable manner to extended teams and small groups of key stakeholders. Preferred Qualifications:

Job description

View original posting ↗

| --- Precision Genomics Data Science Co-op | | | In this role within the Precision Genomics group, you will work collaboratively with interdisciplinary scientists, IT, and engineering professionals to optimize DNA genotyping and sequencing workflows and answer key questions that drive decisions for Precision Genomics and partners across Breeding, Biotech, and Product Supply. As an individual contributor on the Precision Genomics Analytics team, you will help build an analytics‑driven product pipeline by applying advanced mathematical models, machine learning algorithms, and operations research techniques, combined with strong business acumen, to deliver insights, recommendations, and solutions. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role include: * Maximize the use of large‑scale genomics and metadata to support high‑throughput DNA genotyping and sequencing production and workflow development needs; * Independently perform bioinformatic analysis, computer programming, and experimental design; * Use and maintain advanced bioinformatic pipelines and databases for mining and visualizing large genomic data sets to deliver insights, recommendations, and solutions; * Provide technical contributions in a fast‑paced team environment to accelerate efforts on building an analytics‑driven product pipeline; * Develop sustainable, consumable, accurate, and impactful reporting on analysis inputs, analysis outputs, biological interpretation, business impact, and key performance indicators; * Present compelling, validated stories to all levels of the organization, including peers, senior management, and internal customers, to drive both strategic and operational changes in the business; * Demonstrate a moderate level of autonomy in developing relationships for effective cross‑functional collaboration across multiple organizations and partners on work stream initiatives for the Data Science community. Key Working Relationships: * Active member of the Data Science community to build personal acumen and ability while sharing best practices with others; * Builds relationships and networks within the current function, with guidance as needed to expand networks cross‑functionally; * Interacts most often with Bioinformaticians and Data Scientists within the organization and peer business partners; * Reports to a Precision Genomics Analytics & Insights Lead but independently drives data science projects with key stakeholders spanning functions and countries. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * Currently pursuing a Master’s or Ph.D. in a relevant discipline (Data Science, Machine Learning, Electrical/Industrial Engineering, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science, or other related quantitative discipline); * Intermediate proficiency in computational skills and experience building data models using R, Python, or other statistical and/or mathematical programming packages; * Strong proficiency in predictive modeling, including comprehension of theory, modeling/identification strategies, and awareness of limitations and pitfalls; * Intermediate proficiency in machine learning algorithms and concepts; * Experience delivering valuable analysis through application of domain knowledge, demonstrating strong business acumen; * Strong communication skills, including the ability to present and deliver complex quantitative analyses in a clear, concise, and actionable manner to extended teams and small groups of key stakeholders. Preferred Qualifications: * One to two years of experience with machine learning modeling and working with genomics data; * Strong analytical and problem‑solving skills. Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or 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 March 19, 2027 | ---|--- 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:| 883390 | | --- Contact Us | Email:| hrop_usa@bayer.com

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Pay
* One to two years of experience with machine learning modeling and working with genomics data; * Strong analytical and problem‑solving skills. Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or 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 March 19, 2027
Location & working pattern

Chesterfield, MO, US

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Status in our records
Active
First seen by us
Sep 22, 2026
Recorded sightings
45
Last seen by us
Oct 8, 2026

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