ZipRecruiter

Log In

1

Computational Biologist Jobs in Iowa (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsComputational Biologist JobsComputational Biologist Jobs in Iowa

Computational Biologist information

See Iowa salary details

$45.6K

$88.3K

$125.4K

How much do computational biologist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computational biologist in Iowa is $88,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $109,900.00 per year, depending on experience, location, and employer.

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 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.
More about Computational Biologist jobs
What are the most commonly searched types of Computational Biologist jobs in Iowa? The most popular types of Computational Biologist jobs in Iowa are:
What are popular job titles related to Computational Biologist jobs in Iowa? For Computational Biologist jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Computational Biologist jobs in Iowa look for? The top searched job categories for Computational Biologist jobs in Iowa are:
What are popular job titles related to Computational Biologist jobs in IA? For Computational Biologist jobs in IA, the most frequently searched job titles are:
Computational Biologist jobs near you
Infographic showing various Computational Biologist job openings in Iowa as of August 2026, with employment types broken down into 3% Internship, 64% Full Time, 31% Part Time, and 2% Contract. Highlights an 61% Physical, 2% Hybrid, and 37% Remote job distribution, with an average salary of $88,280 per year, or $42.4 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Des Moines, IA • Remote

$80 - $110/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply