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Bioinformatics Machine Learning Jobs in Michigan

Bioinformatics Machine Learning information

What is a Bioinformatics Machine Learning job?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a Bioinformatics Machine Learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

What are the key skills and qualifications needed to thrive in the Bioinformatics Machine Learning position, and why are they important?

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Michigan? The most popular types of Bioinformatics Machine Learning jobs in Michigan are:
What are popular job titles related to Bioinformatics Machine Learning jobs in Michigan? For Bioinformatics Machine Learning jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Bioinformatics Machine Learning job openings in Michigan as of July 2026, with employment types broken down into 1% Locum Tenens, 53% As Needed, 30% Full Time, 4% Part Time, 10% Nights, and 2% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Research Assistant - Department of Oncology

Research Assistant - Department of Oncology

Wayne State University

Detroit, MI • On-site

$19 - $26.25/hr

Full-time

Re-posted 2 days ago


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Job description

Research Assistant - Department of Oncology
Wayne State University is searching for an experienced Research Assistant - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Assist principal investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific and academic conferences and submittal to academic and scholarly peer-reviewed journals.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Perform statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior to publication. - Stay up-to-date with statistical/bioinformatics and programming methodologies relevant to cancer research. - Implement assignments with excellence and work collaboratively with staff and faculty. - Compile information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows, residents, and graduate students.
Qualifications:
Education: Bachelor's degree
Bachelor'sdegree in a related field of study, preferred. Requires advanced knowledge predominantlyintellectual in character in a field of science or learning acquired by aprolonged course of specialized intellectual instruction.
Experience: Entry level (less that a year of job-related experience)
Experience performing basic research techniques or interacting with humansubjects, preferred.
Knowledge,Skills and Abilities:
Abilityto work independently. Ability toanalyze, summarize and interpret research findings and data in reports and spreadsheetsand communicate results. Knowledgeof scientific integrity principles. Excellent timemanagement and organization skills. Excellent interpersonal and communication skills anddemonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
- Master's degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least 2 years of work experience with R programming, demonstrating excellent proficiency. Any work experience gained during the completion of an MS/PhD degree will be considered as part of this requirement. Statistical and/or bioinformatics work experience in collaborative medical research highly desirable.The candidate must be able to support cancer research across a wide range of biostatistical/bioinformatics domains, provide methodological guidance as needed, and assist with requests received through the Core. A strong desire to learn new statistical/bioinformatics methods is highly expected, given the evolving analytical needs of cancer research. Experience with causal inference, particularly using structural equation modeling, is considered a plus.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Hourly rate:
  • Salary minimum:
  • Salary hire maximum:
Working conditions:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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