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Computer Science Bioinformatics Jobs in Minnesota

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$5

$42

How much do computer science bioinformatics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for computer science bioinformatics in Minnesota is $41.91, according to ZipRecruiter salary data. Most workers in this role earn between $41.68 and $42.16 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace bioinformatics professionals. Bioinformatics jobs require expertise in biology, programming, and data interpretation, which AI cannot fully replicate. Instead, AI serves as a complementary skill for bioinformaticians to improve efficiency and discovery.

How is computer science used in bioinformatics?

In bioinformatics, computer science is used to develop algorithms, software, and databases for analyzing biological data such as DNA, RNA, and protein sequences. Bioinformatics professionals often utilize programming languages like Python or R, and tools like machine learning and data mining to interpret complex biological information efficiently.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in the Computer Science Bioinformatics position, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What biology jobs pay over $100k?

In bioinformatics and related biology fields, roles such as senior bioinformatics scientist, computational biologist, and data scientist often have salaries exceeding $100,000 annually. These positions typically require advanced skills in programming, data analysis, and knowledge of biological data, often with a master's or Ph.D. degree. Experience, industry sector, and geographic location can influence salary levels.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common jobs include bioinformatics analyst, computational biologist, research scientist, and data analyst in healthcare, pharmaceuticals, or biotech companies. These roles often require skills in programming, data analysis, and knowledge of biological data, and may involve working with tools like R, Python, or specialized bioinformatics software.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Minnesota? The most popular types of Computer Science Bioinformatics jobs in Minnesota are:
What are popular job titles related to Computer Science Bioinformatics jobs in Minnesota? For Computer Science Bioinformatics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Computer Science Bioinformatics jobs in Minnesota look for? The top searched job categories for Computer Science Bioinformatics jobs in Minnesota are:
Computer Science Bioinformatics jobs near you

Scientist, Microbiome Data Science & Bioinformatics

Ferring Pharmaceuticals

Minneapolis, MN

Full-time

Posted 5 days ago

Job description

Job Description:

Scientist, Microbiome Data Science & Bioinformatics

Summary: The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysisapproaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.

Responsibilities:

  • Lead qualitative and quantitative human microbiomeresearch, includingdata mining, dataanalyses,and interpretation of findingsfromclinical trialsand research studiesthatalign withcompanygoals
  • Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
  • Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
  • Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
  • Use and improve continuous deployment models, containerization, cloud computing, and agile practices
  • Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
  • Contribute to publications in peer-reviewed journals, as well as any methodological innovations
  • Effectively present and defend scientific work in the form of internal and external presentations
  • Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
  • Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources


Requirements:

  • Advanced degree(e.g.MSorPh.D.)in bioinformatics, genomics, biostatistics or relatedbiologicalfield
  • Minimum of one year of experience in the field of omics sciences, preferably the microbiome
  • Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
  • Proven experience in Linux, AWS, coding in Python and R
  • Excellent writing, communication, and other organizational skills including documentation & data organization
  • Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes
Location:Roseville, Minnesota

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