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Biological Data Science Internship Jobs in Michigan

micro1 AI

Digital Chemistry Specialist - Remote

Warren, MI · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Koppert Biological Systems, Inc.

R&D Scientist I

Howell, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... science or related field required. * Experience with hymenopterans and insect genetics required ... biological/production systems. * Applied knowledge in statistics, data/database management, and ...

Varsity Tutors

High School Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Varsity Tutors

High School Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Varsity Tutors

High School Science Tutor

Detroit, MI · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Engage Employment Solutions

Cell & Molecular Scientist

Kalamazoo, MI · On-site

$33.25 - $41.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze and review data for timely release of final study reports * Draft study reports for ... MS in molecular biology or related field with 2 years of industry experience preferable, OR: * BS ...

Corning

... science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one ...

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Biological Data Science Internship information

What are the key skills and qualifications needed to thrive as a biological data science intern, and why are they important?

To thrive as a Biological Data Science Intern, you need a solid background in biology, statistics, and programming, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with tools like Python, R, and data analysis platforms, as well as experience with genomic databases and visualization software, is typically expected. Strong problem-solving, attention to detail, and teamwork skills help interns excel in collaborative research environments. These abilities enable accurate analysis of complex biological data and contribute to meaningful scientific discoveries.

What types of projects do interns typically work on during a biological data science internship?

Biological Data Science interns often work on projects involving the analysis of large biological datasets, such as genomic, proteomic, or clinical data. Typical tasks may include cleaning and preprocessing data, developing statistical models, and visualizing complex biological patterns. Interns frequently collaborate with both data scientists and biologists, gaining exposure to interdisciplinary teamwork and real-world research challenges. This hands-on experience helps interns build both their technical and scientific communication skills, making it a valuable stepping stone for careers in bioinformatics, computational biology, or related fields.

What is the difference between Biological Data Science Internship vs Biological Data Analyst?

AspectBiological Data Science InternshipBiological Data Analyst
Required CredentialsUndergraduate or graduate student in biology, data science, or related fieldBachelor's or master's in biology, data science, or related field; sometimes requires experience
Work EnvironmentResearch labs, biotech companies, academic institutions, often temporary or project-basedCorporate or research settings, ongoing role with regular hours
Employer & Industry UsageInternships offered by biotech firms, research institutions, universitiesFull-time roles in biotech, pharmaceuticals, research organizations

The Biological Data Science Internship is typically a temporary, entry-level position aimed at students gaining practical experience, whereas a Biological Data Analyst is a full-time role requiring more experience and responsibility. Internships focus on learning and skill development, while analysts handle ongoing data analysis tasks in professional settings.

What is a biological data science internship?

A Biological Data Science Internship is a temporary position for students or recent graduates to gain practical experience working at the intersection of biology and data science. Interns typically analyze biological datasets using computational tools, statistical methods, and programming languages such as Python or R. They may work on projects involving genomics, bioinformatics, drug discovery, or ecological modeling. The internship helps individuals develop both technical and domain-specific skills, preparing them for future careers in research, biotechnology, or academia.

What are popular job titles related to Biological Data Science Internship jobs in Michigan?

For Biological Data Science Internship jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Biological Data Science Internship jobs in Michigan look for?

The top searched job categories for Biological Data Science Internship jobs in Michigan are:

What cities in Michigan are hiring for Biological Data Science Internship jobs?

Cities in Michigan with the most Biological Data Science Internship job openings:

Biological Data Science Internship jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Grand Rapids, MI • Remote

$90 - $120/hr

Part-time

Posted 17 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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