Computational Biology, Single Cell & Spatial Genomics Co-Op

Missouri Ag Connection; Chesterfield (MO); Hybrid; USD 31,000 - 66,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Job summary

Missouri Ag Connection seeks a Computational Biology Co-Op to analyze single-cell and spatial transcriptomics datasets. You will work with computational biologists, geneticists, and genomics scientists to perform analyses, develop reproducible workflows, and generate insights that inform discovery.

The role emphasizes presenting findings and visualizations to multidisciplinary project teams, with a focus on rigorous methods and collaborative problem-solving.

Qualifications

• Pursuing a Master’s or Ph.D. in Bioinformatics, Computational Biology, or related field.
• Experience with biological data analysis using R and/or Python.
• Familiarity with transcriptomics or single-cell/spatial data preferred.
• Strong problem-solving and communication skills.

Responsibilities

• Analyze single-cell and spatial transcriptomics datasets using modern computational approaches.
• Perform in-depth exploration of datasets to identify biological insights and hypotheses.
• Conduct literature reviews to identify emerging analytical methods.
• Create reproducible analysis workflows and document methods.
• Present findings, visuals, and recommendations to multidisciplinary teams.

Skills

Master's/PhD

R

Python

Single-cell sequencing

Spatial biology

Data visualization

Statistics

Education

Master's degree

PhD degree

Tools

R

Python

Job description

We are seeking a highly motivated Computational Biology Co?Op to support the analysis of single?cell and spatial transcriptomics datasets. The successful candidate will work with computational biologists, geneticists, and genomics scientists to perform deep?dive analyses, evaluate emerging methods, and generate biological insights that inform future discovery and research efforts.**YOUR TASKS AND RESPONSIBILITIES**The primary responsibilities of this role include:* Analyze single?cell and spatial transcriptomics datasets using modern computational approaches;* Perform in?depth exploration of existing datasets to identify novel biological insights and hypotheses;* Conduct literature reviews to identify emerging analytical methods and relevant biological findings;* Create reproducible analysis workflows and document computational methods;* Present findings, visualizations, and recommendations to multidisciplinary project teams.**WHO YOU ARE**Bayer seeks an incumbent who possesses the following:Desired Qualifications:* Pursuing a Master's or Ph.D. degree in Bioinformatics, Computational Biology, Genetics, Genomics, Data Science, Computer Science, Statistics, or a related field;* Experience with biological data analysis using R and/or Python;* Familiarity with transcriptomics, single?cell sequencing, or spatial biology data is preferred;* Knowledge of statistical modeling and data visualization techniques;* Strong problem?solving, communication, and organizational skills;* Ability to work both independently and collaboratively in a multidisciplinary research environment.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