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Remote Bioinformatics Scientist Jobs in Minnesota

micro1 AI

Cheminformatics Specialist - Remote

Rochester, MN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics ...

University of Minnesota

Post-Doctoral Associate

Austin, MN · On-site +1

$63K - $77K/mo

We have established an integrated research platform combining metabolic physiology, bioinformatics ... Work location options include working fully remote, partially remote, or entirely in the office and ...

All JobsBioinformatics Scientist JobsRemote Bioinformatics Scientist JobsRemote Bioinformatics Scientist Jobs in Minnesota

Remote Bioinformatics Scientist information

See Minnesota salary details

$36

$53

$72

How much do remote bioinformatics scientist jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote bioinformatics scientist in Minnesota is $53.66, according to ZipRecruiter salary data. Most workers in this role earn between $44.04 and $61.20 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote Bioinformatics Scientist?

A Remote Bioinformatics Scientist typically analyzes large-scale biological datasets, develops and maintains computational pipelines, and collaborates with research teams to interpret results. Daily tasks often include coding, running data analyses, troubleshooting pipeline issues, and preparing reports or visualizations to present findings. Communication is primarily conducted through virtual meetings, emails, and collaborative platforms, ensuring alignment with project goals. Flexibility in managing one's schedule and staying proactive in team communications are key aspects of succeeding in this remote setting.

What is a Remote Bioinformatics Scientist job?

A Remote Bioinformatics Scientist analyzes biological data using computational tools and techniques while working from a remote location. They process genomic, proteomic, or other biological datasets to extract meaningful insights, often for research, healthcare, or pharmaceutical applications. Their work involves programming, data modeling, and statistical analysis to interpret complex biological systems. Remote professionals collaborate with researchers, biologists, and data scientists via digital communication tools. This role requires strong skills in bioinformatics software, machine learning, and data visualization.

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

To thrive as a Remote Bioinformatics Scientist, you need a solid background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Expertise in programming languages such as Python or R, experience with genomic databases, and familiarity with data analysis tools like BLAST or GATK are highly valued. Strong problem-solving abilities, effective remote communication, and self-motivation are standout soft skills. These qualities enable effective analysis and interpretation of complex biological data while collaborating efficiently in a distributed research environment.

What are popular job titles related to Remote Bioinformatics Scientist jobs in Minnesota? For Remote Bioinformatics Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Scientist jobs in Minnesota look for? The top searched job categories for Remote Bioinformatics Scientist jobs in Minnesota are:
Remote Bioinformatics Scientist jobs near you
Infographic showing various Remote Bioinformatics Scientist job openings in Minnesota as of July 2026, with employment types broken down into 6% Locum Tenens, 14% As Needed, 60% Full Time, 10% Part Time, 1% Temporary, and 9% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $111,619 per year, or $53.7 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Minneapolis, MN • Remote

$90 - $120/hr

Part-time

Posted 5 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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