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Biology Coding Jobs in Michigan (NOW HIRING)

Absopure

Quality Assurance Technician

Plymouth, MI · On-site

Production checks, codes, labels, fill volumes, torque test, caps, leakers, etc. * Sampling for ... Requires a Bachelor's degree in Chemistry, Biology or related science or 2-4 years of related ...

Trinityhealth

Inpatient Pharmacy Technician

Brighton, MI · On-site

$16.75 - $20.50/hr

... biological safety cabinet) flow hood using aseptic technique is required. Adheres to USP 797/USP ... Loads and removes medications from this unit using bar code scanning of medication and patient ...

Trinity Health

Inpatient Pharmacy Technician

Brighton, MI · On-site

$16.75 - $20.50/hr

... biological safety cabinet) flow hood using aseptic technique is required. Adheres to USP 797/USP ... Loads and removes medications from this unit using bar code scanning of medication and patient ...

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Biology Coding information

See Michigan salary details

$10K

$156.4K

$220.7K

How much do biology coding jobs pay per year?

As of Jul 4, 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 are the typical daily tasks for someone working in Biology Coding?

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 is the highest paid coding job?

In the field of biology coding, high-paying roles include bioinformatics directors and computational biology managers, often earning over $150,000 annually. These positions typically require advanced programming skills, experience with data analysis tools, and a strong understanding of biological data and algorithms.

What is a Biology Coding job?

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 biology jobs pay over $100k?

Biology-related careers that typically pay over $100,000 include biomedical scientists, pharmacologists, and biotechnologists working in research, development, or industry roles. These positions often require advanced degrees, specialized skills, and experience in laboratory techniques or data analysis.

Can a bio student do coding?

Yes, biology students can learn coding, which is increasingly valuable in bioinformatics, data analysis, and research. Skills in programming languages like Python or R are often used to analyze biological data and develop computational models, making coding a useful complement to biology studies.

How much do computational biologists get paid?

Computational biologists typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in programming, data analysis, and bioinformatics tools can earn higher salaries, especially in research or industry settings.

What are the key skills and qualifications needed to thrive in the Biology Coding position, and why are they important?

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.

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:
What job categories do people searching Biology Coding jobs in Michigan look for? The top searched job categories for Biology Coding jobs in Michigan are:
Biology Coding jobs near you
Assistant Scientist / Assistant Professor - Computational Biology

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Henry Ford Health

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.

Key Responsibilities

  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications

  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

  • Demonstrated ability-or strong potential-to secure external research funding.

  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:

Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:

Dr. Qing-Sheng Mi, MD, PhD

Director, Center for Cutaneous Biology and Immunology (CCBI)

Email: qmi1@hfhs.org

Equal Employment Opportunity/Affirmative Action Employer

Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable

Apply