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Full Time Biotech Data Science Jobs in Minnesota

NextEra Energy

Sr Applied Scientist I

Saint Paul, MN · On-site

$118K - $177K/yr

Working at the intersection of renewable energy physics and data science, you'll develop ... Exempt Employee Type: Full Time Job Category: Science, Research, and Technology Organization:

Chewy

Healthcare Analytics Manager

Minneapolis, MN · On-site

$137K - $168K/yr

Healthcare Analytics Manager Minneapolis, MN - Merchandising & Chewy Brands - Full time - R30281 ... Bachelor's degree in Data Science, Business Analytics, Information Technology, Management ...

Chewy

Healthcare Analytics Manager

Minneapolis, MN · On-site +1

$137K - $168K/yr

Healthcare Analytics Manager Minneapolis, MN - Merchandising & Chewy Brands - Full time - R30281 ... Bachelor's degree in Data Science, Business Analytics, Information Technology, Management ...

Danaher

AI Process Automation Analyst

Chaska, MN · On-site

... biotechnology? At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work ... Bachelor's degree in Computer Science, IT, Data Science, or Business/Data Analytics * 5+ years of ...

Danaher

AI Process Automation Analyst

Chaska, MN · On-site +1

... biotechnology? At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work ... Bachelor's degree in Computer Science, IT, Data Science, or Business/Data Analytics * 5+ years of ...

Inizio

Regional Manager

Minneapolis, MN

$106K - $198K/yr

Inizio Engage has a long-standing partnership with a leading biotechnology organization across ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

Communicate with external stakeholders and vendors to recommend data capture technologies and pre ... Celcuity is a commercial biotechnology company pursuing development of targeted therapies for ...

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Communicate with external stakeholders and vendors to recommend data capture technologies and pre ... Celcuity is a commercial biotechnology company pursuing development of targeted therapies for ...

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All JobsBiotech Data Science JobsFull Time Biotech Data Science JobsFull Time Biotech Data Science Jobs in Minnesota

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 are popular job titles related to Full Time Biotech Data Science jobs in Minnesota? For Full Time Biotech Data Science jobs in Minnesota, the most frequently searched job titles 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:
Full Time Biotech Data Science jobs near you
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.

Principal Data Engineering - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 23 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

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
The Principal Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and pipelines. This role emphasizes cloud based data architecture, data solutioning, and hands on development, supporting large scale data and analytics initiatives.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead the design and implementation of cloud based data architectures and data solutions
  • Build, optimize, and maintain scalable data pipelines on GCP or Azure
  • Provide hands on technical leadership in data platform and solution architecture
  • Work across cloud and on prem environments to support enterprise data needs
  • Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability
  • Guide junior engineers through technical mentorship and solution design reviews
  • Leverage enterprise approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
  • Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog)
  • Implement security, IAM, and compliance controls; manage access, encryption, and PII handling
  • Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics
  • Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements
  • Contribute to data platform roadmaps, standards, and best practices

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:
  • 8+ years of experience in data engineering or related roles
  • Demonstrated experience designing and building data pipelines in enterprise environments
  • Proven solid hands on experience with cloud platforms (GCP preferred; AWS or Azure acceptable)
  • Experience with on prem and cloud based data architectures
  • Hands on experience with develop and optimize data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML
  • Proven solid SQL and Python development skills for data processing and pipeline development, hands-on with Cloud Storage
  • Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases
  • Demonstrated experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform
  • Demonstrated solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns
  • Experience with batch and streaming data processing at scale

Preferred Qualifications:
  • Experience supporting large scale analytics or data platforms
  • Demonstrated familiarity with multi cloud or hybrid architectures
  • Experience working in enterprise scale environments
  • Reside in Minnesota

*All employees working remotely 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 $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.

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