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Computational Biologist Jobs in Kansas (NOW HIRING)

... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

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Computational Biologist information

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$43.3K

$83.8K

$119.1K

How much do computational biologist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computational biologist in Kansas is $83,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $104,300.00 per year, depending on experience, location, and employer.

What is a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

What are the key skills and qualifications needed to thrive as a computational biologist, and why are they important?

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.

What are the most commonly searched types of Computational Biologist jobs in Kansas?

The most popular types of Computational Biologist jobs in Kansas are:

What are popular job titles related to Computational Biologist jobs in Kansas?

For Computational Biologist jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Computational Biologist jobs?

Cities in Kansas with the most Computational Biologist job openings:

What are popular job titles related to Computational Biologist jobs in KS?

For Computational Biologist jobs in KS, the most frequently searched job titles are:

Infographic showing various Computational Biologist job openings in Kansas as of August 2026, with employment types broken down into 1% Internship, 58% Full Time, 39% Part Time, 1% Temporary, and 1% Contract. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution, with an average salary of $83,823 per year, or $40.3 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Topeka, KS • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.