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Biotech Data Analyst Jobs in Minnesota (NOW HIRING)

... biotechnology? At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

... biotechnology? At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

Support root cause investigations by gathering and analyzing product performance data. * Operate ... Experience in the medical device, pharmaceutical, biotechnology, or regulated manufacturing ...

MN

$30 - $32/hr

Support root cause investigations by gathering and analyzing product performance data. Operate ... Experience in the medical device, pharmaceutical, biotechnology, or regulated manufacturing ...

New

Buyer II

Bloomington, MN · On-site

$30 - $31/hr

This client is a German multinational Pharmaceutical and biotechnology company and one of the ... Good data analytic and data science skills (Excel, Knime, Alteryx, Power BI, Python) are preferable.

... data analysis and presentation. What You Will Do * Assist with molecular pattern analysis on a ... One or more years of combined experience across academic research labs, biotech industry, or ...

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Biotech Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do biotech data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biotech data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

What is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

What are the most commonly searched types of Biotech Data Analyst jobs in Minnesota?

The most popular types of Biotech Data Analyst jobs in Minnesota are:

What job categories do people searching Biotech Data Analyst jobs in Minnesota look for?

The top searched job categories for Biotech Data Analyst jobs in Minnesota are:

Infographic showing various Biotech Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Associate Director Senior Data Analyst (Clinical Sciences)

BioNTech SE

Saint Paul, MN • On-site

$146K - $234K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Munich, Germany; Cambridge, US; Gaithersburg, US; Mainz, Germany; New Jersey, US | full time | Job ID: 11529
About the role
As Associate Director, Senior Data Analyst liaises with Clinical Science to understand business needs and identify solutions that align to overall strategies. Reviews, analyzes and evaluates business systems and user needs while acting as a technical SME in Clinical Data and Analytics.
Your main responsibilities
  • Represent DDI as data analyst and technical SME across Clinical functional areas
  • Document Data Transfer Agreements (DTAs) for external data exchange
  • Define and document data transformation logic and support implementation
  • Partner with Clinical stakeholders to evaluate business systems and needs
  • Support planning, prioritization, delivery, and operations of Clinical solutions
  • Develop and maintain process documentation (current and to-be)
  • Define system, functional, and business requirements
  • Provide technical SME support for clinical systems (EDC, Elluminate, Databricks, analytics tools)
  • Support implementation and onboarding of new Clinical solutions
  • Manage vendor interactions and ensure service delivery and troubleshoot system and operational issues
  • Coordinate service operations and SLA compliance, support Computer System Validation (CSV) and GxP processes
  • Maintain validation documentation (URS, IQ/OQ/PQ, traceability, reports) and ensure alignment with quality systems and operational procedures

What you have to offer
  • Bachelor's or higher degree in a relevant scientific or technical field
  • 10 -12+ years experience in Clinical Operations/Data Management
  • Strong understanding of Clinical business processes
  • Experience in process development, mapping, and gap analysis
  • Experience working with vendors and maintaining systems
  • Hands-on experience with SQL, reporting tools (e.g., Spotfire)
  • Knowledge of GxP, CSV, and SDLC and strong understanding of Clinical systems and data
  • Ability to translate business requirements into technical solutions and strong collaboration across business and IT teams
  • Ability to operate in global matrix organizations and strong communication and stakeholder engagement skills
  • Ability to manage change and prioritize based on business value

Your benefits and remuneration:
If the position is filled in the US, the Expected Pay Range is $146,300/year to $234,100/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.
Compensation at other locations may vary significantly.
BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.
Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.
How to apply:
Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.
Please note:
Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.
We are looking forward receiving your application.
Inspired? Become part of #TeamBioNTech.
BioNTech, the story
At BioNTech, we are more than just a biotechnology company - we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.
BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!
BioNTech - As unique as you
www.biontech.com