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Bioinformatics Job Jobs in Iowa (NOW HIRING)

Varsity Tutors

Genetics Tutor

Iowa City, IA · Remote

$18 - $40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Ames, IA · Remote

$18 - $40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Harvey Mudd College

Laboratory Technician II

Olin, IA

$25/hr

Ability to communicate, in English, with faculty members and students who are well versed in various scientific fields, primarily biology and bioinformatics. * Knowledge of and ability in PCR, gel ...

Sapio Sciences

Solutions Consultant

Estherville, IA · On-site +1

The Sapio platform makes it easy for scientific, laboratory, and bioinformatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to ...

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Bioinformatics Job information

What are some common challenges faced by professionals in bioinformatics roles, and how can they be addressed?

Bioinformatics professionals often encounter challenges such as managing large and complex datasets, keeping up with rapidly evolving technologies, and collaborating effectively with interdisciplinary teams. To address these challenges, it's important to develop strong data management and analytical skills, stay updated through continuous learning, and communicate clearly with both biologists and computer scientists. Leveraging version control tools, computational resources, and participating in collaborative projects can also help streamline workflows and enhance productivity.

What are the key skills and qualifications needed to thrive as a bioinformatics professional?

To thrive in a Bioinformatics job, you need a strong background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics databases, and tools like BLAST or Next-Generation Sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These skills are crucial for accurately interpreting complex data, collaborating with interdisciplinary teams, and advancing research outcomes.

What is a bioinformatics job?

Bioinformatics jobs involve the application of computer science, mathematics, and biology to analyze and interpret complex biological data, such as genetic sequences. Professionals in this field develop algorithms, create databases, and use statistical tools to solve problems in genomics, drug discovery, and other life sciences. These roles are typically found in research institutions, biotechnology companies, pharmaceutical firms, and academic settings. The field is growing rapidly due to advances in technology and the increasing importance of big data in biology.

What are popular job titles related to Bioinformatics Job jobs in Iowa?

For Bioinformatics Job jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Job jobs in Iowa look for?

The top searched job categories for Bioinformatics Job jobs in Iowa are:

Bioinformatics Job jobs near you
Infographic showing various Bioinformatics Job job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Des Moines, IA • Remote

$80 - $110/hr

Part-time

Posted 13 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.

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