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Ai Bioinformatics Jobs in Minnesota (NOW HIRING)

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110 - $120/hr

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Perform introductory bioinformatics and data-science tasks: data inspection, QC dashboards, and ... A chance to build your early career at the cutting edge of AI-native molecular and nanophotonic ...

Genetics Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Edina, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

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Ai Bioinformatics information

What is an AI bioinformatician?

AI bioinformaticians are professionals who combine artificial intelligence (AI) techniques with bioinformatics to analyze and interpret complex biological data. They use machine learning, deep learning, and other AI tools to identify patterns in genomic, proteomic, and other biological datasets. Their work supports advancements in fields such as personalized medicine, drug discovery, and genomics research. AI bioinformaticians often have expertise in biology, computer science, statistics, and data science.

How does an AI bioinformatics professional typically collaborate with researchers and other team members in interdisciplinary projects?

AI Bioinformatics professionals frequently work in interdisciplinary teams, partnering with biologists, data scientists, software engineers, and healthcare researchers. Collaboration often involves translating biological questions into data-driven problems, developing machine learning models, and interpreting results in the context of ongoing research. Clear communication is essential, as the role requires bridging the gap between computational methods and biological insights. Regular meetings, code sharing, and joint analysis sessions are common practices to ensure all stakeholders are aligned and project goals are met.

What are the key skills and qualifications needed to thrive as an AI bioinformatician, and why are they important?

To thrive as an AI Bioinformatician, you need strong expertise in computational biology, statistics, and machine learning, typically supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of AI frameworks like TensorFlow or PyTorch are required. Effective problem-solving, collaboration, and clear scientific communication are crucial soft skills in this role. These competencies are important for extracting meaningful insights from complex biological data, driving innovation, and advancing research in genomics and healthcare.

What is the difference between Ai Bioinformatics vs Bioinformatics Analyst?

AspectAi BioinformaticsBioinformatics Analyst
Required CredentialsDegree in Bioinformatics, Computer Science, or related fields; knowledge of AI/ML toolsDegree in Bioinformatics, Biology, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, biotech companies, AI-focused teamsResearch institutions, healthcare, biotech firms
Employer & Industry UsageTech companies, biotech firms integrating AIHealthcare, research institutions, biotech companies
Common Search & ComparisonYesYes

Ai Bioinformatics focuses on applying artificial intelligence and machine learning techniques to analyze biological data, often requiring programming and AI expertise. Bioinformatics Analysts primarily analyze biological data using traditional bioinformatics tools. While both roles involve data analysis in biology, Ai Bioinformatics emphasizes AI-driven methods, making it suitable for advanced computational projects.

What is the role of AI in bioinformatics?

AI in bioinformatics involves using machine learning and deep learning algorithms to analyze biological data, such as genetic sequences and protein structures. Bioinformatics professionals develop models to identify patterns, predict functions, and assist in drug discovery, often utilizing tools like Python, R, and specialized AI frameworks. This role requires strong computational skills and knowledge of biology to interpret complex datasets effectively.

Will AI take a bioinformatics job?

AI bioinformatics involves using artificial intelligence and machine learning tools to analyze biological data, and it is increasingly integrated into the field. While AI automates certain tasks, it complements human expertise, and bioinformaticians are needed to interpret results, develop algorithms, and manage data workflows. The role requires skills in programming, data analysis, and understanding biological concepts, making it unlikely that AI will fully replace human bioinformaticians soon.

What job categories do people searching Ai Bioinformatics jobs in Minnesota look for?

The top searched job categories for Ai Bioinformatics jobs in Minnesota are:

What cities in Minnesota are hiring for Ai Bioinformatics jobs?

Cities in Minnesota with the most Ai Bioinformatics job openings:

Infographic showing various Ai Bioinformatics job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Bioinformatics Scientist

Linn Products, Inc

Minneapolis, MN โ€ข On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will focus on complex experimental and clinical bioinformatics data sets.


Responsibilities:

  • Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas.
  • Effectively communicate results in R&D and corporate meetings, prepare abstracts/manuscripts for publications and conferences.
  • Communicate with external stakeholders and vendors to recommend data capture technologies and pre-clinical experimental models best aligned with bioinformatics and wet-lab research objectives.
  • Implement and validate newly identified bioinformatics analytical advances using bioinformatics practices for reproducible and modular analysis (markdown documentation, r/v env locks, git, nextflow, snakemake, dockers, conda).
  • Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI integration to achieve efficient end-to-end analysis, scale-up, and predictive models.
  • Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists.
  • Prepare reports, presentations, abstracts, and manuscripts as required, following established standards for documentation, reproducibility of code and data integrity.


Qualifications:

  • A Ph. D or equivalent experience in biology, chemistry or bioinformatics with strong skills in the analysis of -Omics datasets (bulk/single-cell/spatial transcriptomics, WES, epigenomics, metabolomics and/or proteomics) in preclinical and clinical disease models.
  • Experience using Machine Learning/Artificial Intelligence tools in the context of -Omics, single cell Atlases, clinical disease modeling and/or drug development pipelines.
  • Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments. Experience with developing user-facing tools for data visualization and reporting (Shiny, Plotly, Quarto, etc) would be desirable.
  • Strong understanding of cell biology especially with respect to basic biochemistry, cell signaling, cell replication, transcription, translation processes.


About Us:

Celcuity is a commercial biotechnology company pursuing development of targeted therapies for treatment of multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), a potent, pan-PI3K and mTORC1/2 inhibitor that comprehensively blockades the PAM pathway. REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on prior endocrine therapy in the metastatic setting.

The Phase 3 VIKTORIA-2 trial is evaluating gedatolisib in combination with palbociclib and either fulvestrant or letrozole for the first-line treatment of HR+/HER2- locally advanced or metastatic breast cancer. A Phase 1/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is ongoing.


Celcuity is an Equal-Opportunity Employer.

Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $110,000 - $120,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate's geography, qualifications, skills, and experience.


The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.


Notice to Recruiters/Staffing Agencies

Recruiters and staffing agencies should not contact Celcuity through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees directly.


We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file. Celcuity's receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Celcuity and such organization and will be considered unsolicited. Celcuity will not be responsible for related fees.