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Bioinformatics Developer Jobs in Michigan (NOW HIRING)

AeroVironment

Wet Lab Protein Engineer

Bath, MI · On-site

We are hiring a Scientist or Engineer to advance key protein and strain engineering initiatives in ... Bioinformatics & Data Integration: Collaborating with computational scientists to leverage omics ...

New

Medical University of South Carolina

The ideal candidate will possess strong expertise in bioinformatics, musculoskeletal histology, and ... clinical and engineering teams to integrate multi-scale biological and computational data.

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

We are a computationally focused lab in the Departments of Computational Medicine & Bioinformatics ... Strong programming skills (R and/or Python) and comfort in a high-performance computing environment.

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How much do bioinformatics developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for bioinformatics developer in Michigan is $37.29, according to ZipRecruiter salary data. Most workers in this role earn between $37.07 and $37.50 per hour, depending on experience, location, and employer.

What is a bioinformatics developer?

A Bioinformatics Developer is a professional who combines expertise in biology, computer science, and mathematics to develop software tools and algorithms for analyzing biological data. They often work with genomic, proteomic, or other molecular data to help researchers interpret complex biological information. These developers play a key role in advancing research in areas such as genomics, drug discovery, and personalized medicine by creating efficient computational solutions to process and visualize large datasets.

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

To thrive as a Bioinformatics Developer, you need a strong background in biology, computer science, and mathematics, often supported by a degree in bioinformatics, computer science, or a related field. Proficiency with programming languages (such as Python, R, or Java), bioinformatics tools (like BLAST, GATK), and experience with databases and cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex biological data into actionable insights. These skills and qualities are essential for developing robust computational solutions that advance research and innovation in life sciences.

What are some common challenges faced by bioinformatics developers when integrating new data sources into existing pipelines?

Bioinformatics Developers often encounter challenges when integrating new data sources, such as ensuring compatibility with existing pipeline formats, managing diverse data types, and maintaining data quality and integrity. Adapting to rapidly evolving data standards and accommodating large-scale datasets can also be complex, requiring frequent updates and optimization of scripts or software. Collaboration with biologists and data scientists is essential to accurately interpret data requirements and troubleshoot issues, making communication skills and adaptability key in this role.

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Bioinformatics Developer jobs near you
Infographic showing various Bioinformatics Developer job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, 12% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $77,571 per year, or $37.3 per hour.

Digital Chemistry Specialist - Remote

Grand Rapids, MI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$90 - $120/hr

Part-time

Re-posted 19 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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