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Senior Bioinformatics Analyst 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 ... Implement and validate newly identified bioinformatics analytical advances using bioinformatics ...

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Implement and validate newly identified bioinformatics analytical advances using bioinformatics ...

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110 - $120/hr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Implement and validate newly identified bioinformatics analytical advances using bioinformatics ...

Bioinformatics Scientist

Minneapolis, MN ยท On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Implement and validate newly identified bioinformatics analytical advances using bioinformatics ...

... analysis as needed to support research projects. * Perform introductory bioinformatics and data ... Concrete examples from coursework, internships, senior projects, or prior jobs are all welcome.

The IVB Team Lead - Senior Scientist will lead the cattle stem cell and advanced reproduction ... Experience with bioinformatics tools, databases, and genomic/proteomic data analysis. * Working ...

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Senior Bioinformatics Analyst information

See Minnesota salary details

$6

$44

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How much do senior bioinformatics analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior bioinformatics 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 does a senior bioinformatics analyst do?

A Senior Bioinformatics Analyst designs and implements computational methods to analyze biological data, such as genomic sequences or protein structures. They often collaborate with scientists and researchers to interpret complex datasets, develop software tools, and generate insights that support biological research and discovery. In addition to data analysis, they may also mentor junior analysts, manage projects, and ensure the quality and reproducibility of results. Their role is critical in fields like genomics, drug discovery, and personalized medicine, where large-scale data analysis is essential.

What are the key skills and qualifications needed to thrive as a senior bioinformatics analyst?

To excel as a Senior Bioinformatics Analyst, you need a strong background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics or a related field. Expertise in programming languages (such as Python, R, or Perl), experience with next-generation sequencing (NGS) pipelines, and familiarity with databases and bioinformatics tools are crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These competencies enable accurate data interpretation, efficient workflow management, and successful collaboration with multidisciplinary research teams.

How does a senior bioinformatics analyst typically collaborate with interdisciplinary teams in a research environment?

As a Senior Bioinformatics Analyst, you will frequently collaborate with biologists, clinicians, statisticians, and software engineers to design experiments, interpret complex biological data, and develop analytical pipelines. Effective communication is essential, as you'll need to translate technical findings into actionable insights for non-technical team members. These collaborations often involve regular meetings, shared project management tools, and joint problem-solving sessions, enabling the team to integrate diverse perspectives and achieve research goals efficiently.

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

AspectSenior Bioinformatics AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience in data analysisMaster's or PhD in Bioinformatics, Computational Biology, or related field; research experience
Work EnvironmentHealthcare, biotech, research institutions; focus on data analysis and reportingResearch labs, academia, biotech; focus on developing new algorithms and models
Employer & Industry UsagePharmaceutical companies, hospitals, biotech firmsResearch institutions, universities, biotech companies

The main difference is that Senior Bioinformatics Analysts typically focus on analyzing and interpreting biological data within healthcare or biotech settings, often requiring practical data analysis skills. Bioinformatics Scientists usually engage in developing new computational methods and conducting research, often holding advanced degrees. Both roles are essential in the bioinformatics field but differ in their focus and responsibilities.

What are popular job titles related to Senior Bioinformatics Analyst jobs in Minnesota?

For Senior Bioinformatics Analyst jobs in Minnesota, the most frequently searched job titles are:

Bioinformatics Scientist

Linn Products, Inc

Minneapolis, MN โ€ข On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 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.