Precision Genomics Data Science Co-op
At a glance
Junior Data Science role at Bayer. Chesterfield.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Use genomic and metadata at scale to support DNA genotyping and sequencing production and improve workflows
- Run bioinformatic analyses, write code and design experiments independently
- Maintain analysis pipelines and databases, then mine and visualize genomic data to produce useful findings
- Build clear reporting on analysis methods, results, biological meaning, business effects and performance measures
- Present checked findings to colleagues, leaders and internal partners to inform strategic and operational decisions
What you bring
- You are pursuing a master's or doctoral degree in a quantitative discipline such as data science, statistics or bioinformatics
- You can build data models with R, Python or another statistical or mathematical programming package
- You understand predictive modeling methods, how to choose them and where their limitations lie
- You have working knowledge of machine learning concepts and algorithms
- You can explain complex quantitative work clearly and turn analysis into practical recommendations using domain knowledge
Who this fits
This individual-contributor co-op suits a graduate student who wants to apply data science to genomics and work with bioinformaticians, data scientists and partners across functions. You’ll report to an analytics lead while driving projects with stakeholders across functions and countries, with some guidance available as you build cross-functional relationships.
From the employer
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 APPLICATIONBayer 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.
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