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Full Time Biotech Data Science Jobs in Minnesota

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

AI/ML Engineer

Minnetonka, MN · Remote

$98K - $176K/yr

Enable the Data Science team to review and ingest new data as it becomes available * Participate in ... The salary for this role will range from $98,500 to $176,000 annually based on full-time employment.

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI ... The salary for this role will range from $112,700 to $193,200 annually based on full-time ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Data Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

Collaborate with Data Science and AI teams to operationalize ML models and embed them into ... The salary for this role will range from $72,800 to $130,000 annually based on full-time employment.

Contract | Full-Time Hours About the Role We're looking for an AI Product Manager to lead the ... In this role, you'll collaborate with business, data science, and engineering teams to identify AI ...

Showing results 21-40

Full Time Biotech Data Science information

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What is a full time biotech data science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What are the key skills and qualifications needed to thrive as a full time biotech data scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.
What are the most commonly searched types of Biotech Data Science jobs in Minnesota? The most popular types of Biotech Data Science jobs in Minnesota are:
What job categories do people searching Full Time Biotech Data Science jobs in Minnesota look for? The top searched job categories for Full Time Biotech Data Science jobs in Minnesota are:
Infographic showing various Full Time Biotech Data Science job openings in Minnesota as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

Senior Data Scientist

UnitedHealth Group

Minnetonka, MN • Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 29 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together. 

We invite you to bring your performance, ideas and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who can drive change, take appropriate risks and influence individuals at all levels of the organization. The Senior Data Scientist will support the development of analytics and insights that drive Star Ratings performance. This role focuses on hands-on analysis, modeling, and stakeholder support, contributing to key initiatives while partnering with cross-functional teams. 

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. 

Primary Responsibilities:

  • Develop and execute analyses, predictive models and reporting solutions to identify insights that can be incorporated into strategic recommendations for improving member care and to drive STARS quality measure performance 
  • Analyze healthcare data to identify trends impacting Star Ratings performance 
  • Translate analytical findings into clear, actionable insights for stakeholders 
  • Partner with cross-functional teams (clinical, operations, product, actuarial, IT) 
  • Work with large and complex datasets for data extraction, transformation, and analysis 
  • Present results and recommendations to business partners 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 4 years ofprofessionalexperience with Python, SAS, or R 
  • 4 years of experience manipulating data and extracting insights from information across multiple platforms 
  • 3 years of experience working in a cloud-based database environment including Snowflake or equivalenttechnologies 
  • Familiarity with healthcare quality metrics and gap closure strategies  

Preferred Qualifications:

  • Bachelor's Degree in a quantitative field such as Statistics, Health Economics, Mathematics, Computer Scienceor related field 
  • Experience with Medicare Advantage / Star Ratings analytics  
  • Experience with large-scale datasets and distributed data environments (e.g., Spark) 
  • Experience using AI tools to increase productivity in areas such as data exploration, code development and analytical solution delivery. Strong understanding of responsible AI practices such as model validation and explainability 

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

     

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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