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Biology Coding Jobs in Michigan (NOW HIRING)

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

Showing results 21-40

Biology Coding information

See Michigan salary details

$10K

$156.4K

$220.7K

How much do biology coding jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biology coding in Michigan is $156,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $199,400.00 per year, depending on experience, location, and employer.

What is biology coding?

A Biology Coding job involves using programming skills to analyze biological data, develop software tools, and create algorithms for applications like genomics, bioinformatics, and computational biology. Professionals in this field often use languages like Python, R, or MATLAB to process large datasets, automate experiments, and model biological systems. These roles are common in healthcare, biotechnology, research institutions, and pharmaceutical industries.

What does a biology coding professional do?

Professionals in Biology Coding commonly spend their days analyzing large biological datasets, developing scripts or software to automate repetitive tasks, and collaborating with researchers to interpret data findings. They may also clean and prepare raw data, create data visualizations, and maintain documentation to ensure reproducibility of analyses. Interfacing with both scientists and computational teams is a key part of the job, making clear communication and teamwork vital. This dynamic role offers a mix of independent problem-solving and collaborative project work, providing a stimulating and impactful environment for growth.

What skills and qualifications are needed for biology coding?

To thrive in a Biology Coding role, you need a solid background in biological sciences combined with strong programming skills, typically evidenced by a degree in biology, bioinformatics, or a related field, and proficiency in languages such as Python or R. Familiarity with data analysis platforms, bioinformatics tools, and experience with databases like GenBank or BLAST are often required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating with multidisciplinary teams. These competencies are crucial for accurately translating biological data into actionable insights and supporting research and development initiatives.

Is there coding in biology?

Biology coding involves using programming languages like Python or R to analyze biological data, such as genetic sequences or ecological models. Biology coding roles often require knowledge of bioinformatics, data analysis, and computational tools, making it a key skill for jobs in research, data science, and biotech industries.

What are popular job titles related to Biology Coding jobs in Michigan?

For Biology Coding jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Biology Coding job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 12% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $156,367 per year, or $75.2 per hour.

Bioinformatics Software Engineer

micro1 AI

Lansing, MI • Remote

$80 - $110/hr

Part-time

Posted 14 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.