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Bioinformatics Data Scientist Jobs in Iowa (NOW HIRING)

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 Data Scientist information

See Iowa salary details

$35.2K

$115.3K

$184.6K

How much do bioinformatics data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for bioinformatics data scientist in Iowa is $115,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What does a bioinformatics data scientist do?

A bioinformatics data scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and statistical methods. They develop algorithms, interpret large datasets, and collaborate with researchers to uncover insights related to health, genetics, and disease, often using programming languages like Python or R. Strong analytical skills and knowledge of biology are essential for this role.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

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

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Iowa? The most popular types of Bioinformatics Data Scientist jobs in Iowa are:
What are popular job titles related to Bioinformatics Data Scientist jobs in Iowa? For Bioinformatics Data Scientist jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Scientist jobs in Iowa look for? The top searched job categories for Bioinformatics Data Scientist jobs in Iowa are:
Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in Iowa as of July 2026, with employment types broken down into 1% Locum Tenens, 7% Internship, 43% As Needed, 24% Full Time, 7% Part Time, and 18% Nights. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $115,284 per year, or $55.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Davenport, IA • Remote

$90 - $120/hr

Part-time

Posted 6 days ago

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.

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