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Bioinformatics Data Analyst Jobs in Minnesota (NOW HIRING)

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

Perform introductory bioinformatics and data-science tasks: data inspection, QC dashboards, and reproducible analysis scripts. What You Must Bring * Bachelor's degree in chemistry, biochemistry ...

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Bioinformatics Data Analyst information

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$6

$44

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How much do bioinformatics data analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for bioinformatics data analyst in Minnesota is $44.88, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $48.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Minnesota? For Bioinformatics Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Minnesota look for? The top searched job categories for Bioinformatics Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Bioinformatics Data Analyst jobs? Cities in Minnesota with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $93,346 per year, or $44.9 per hour.
Bioinformatics Scientist

Bioinformatics Scientist

Linn Products, Inc

Minneapolis, MN • On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Position Summary:
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 publicly traded commercial-stage biotechnology company developing targeted therapies for multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), targets all class I isoforms of PI3K and the mTOR complexes to comprehensively block the PAM pathway. The PAM pathway is an important signaling pathway involved in many cancers and has historically been challenging to target.
A Phase 3 clinical trial, VIKTORIA-1, evaluating gedatolisib in combination with fulvestrant with or without palbociclib in patients with HR+/HER2- locally advanced or metastatic breast cancer ("ABC"), supported FDA approval of REVTORPYK for use in patients without a PIK3CA mutation detected. Gedatolisib phase 3 clinical development programs are focused on the treatment of patients with HR+/HER2- ABC in the 1L and 2L settings. A Phase 1b/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is on-going.
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.

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