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Biomedical Data Analyst Jobs in Michigan (NOW HIRING)

Senior Financial Analyst

Rochester Hills, MI · On-site

$78K - $98K/yr

Biomedical services include both on-site and depot preventive maintenance, repair and warranty ... Translate financial and operational data into clear, actionable insights and present ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science - Demonstrating proficiency in Supply Chain Management Software - Excelling in strategic sourcing and ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science - Demonstrating proficiency in supply chain management software - Excelling in strategic sourcing and ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science - Demonstrating strategic leadership in supply chain transformation - Excelling in operations strategy and ...

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Showing results 1-20

Biomedical Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do biomedical data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for biomedical data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Biomedical Data Analyst position, and why are they important?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

What are typical daily responsibilities for a Biomedical Data Analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What is a Biomedical Data Analyst job?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the most commonly searched types of Biomedical Data Analyst jobs in Michigan? The most popular types of Biomedical Data Analyst jobs in Michigan are:
Infographic showing various Biomedical Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Senior Manager, Artificial Intelligence Data Engineer

Regeneron Pharmaceuticals

Warren, MI • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Build our future together:

Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help us reduce cycle times, improve quality allowing us to focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to allow resources to fuel our transformation. Working with a team of engineers, analysts, and scientists, you will contribute to modernizing our clinical data infrastructure. This highly visible role will be a technical and strategic liaison between the transformation projects and IT.

A key responsibility will be developing and optimizing schema and data models for clinical data. We ensure that those products are standard compliant and interoperable with other platforms and data sources. This role will also contribute to data governance strategy and to the development and management of tools improving and monitoring data quality. The data engineer will also develop processes to automate routine workflows. The engineer will also provide technical leadership and mentorship and will stay current with innovations in data engineering so that they may be evaluated for implementation.
This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & where: Tarrytown, NY, Armonk, NY or Warren, NJ offices.

Discover your role:
Work with a cross-functional team to optimize and implement our data strategy with a focus on optimization for digital transformation and the use of AI/ML
Design and document end-to-end data architectures that support diverse analytic, operational, and research needs.
Facilitate the implementation of a modern data platform (e.g. Snowflake, Databricks, etc.)
Identify opportunities and implement solutions to increase data interoperability and standardization among systems and across other business units.
Develop and implement pipelines to monitor and improve both internal and external (i.e., from CRO partners) data quality.
Work with informatics and AI engineers optimizing the utility of data for their respective pipelines.
Monitor and optimize the performance of data architectures and platforms.
Develop or implement critical metrics to measure the impact of the overall data strategy.
Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption

This role requires:
An advanced degree in computer science, statistics, biomedical informatics, or a related field is preferred (PhD + 2 years of experience or an MS + 4 years of relevant experience). A minimum of 5 years' experience developing and leading the implementation of data engineering solutions, including accountability for the success of the implementation, in life sciences or healthcare
Demonstrated expertise in designing and maintaining infrastructure and architecture for clinical or biomedical data in a healthcare or life sciences setting.
Expertise in modern data platforms (e.g., Snowflake, Redshift, BigQuery, Databricks) and programming languages such as Python, SQL, R, etc.
Maintain and manage code repositories (e.g Bitbucket) ensuring clean, well-documented code with proper version control.
Proficiency in cloud architecture (e.g. AWS, Azure, GCP) and DevOps practices. Recognized certifications are a plus.
Experience building, scaling, and maintaining pipelines for structured and unstructured data. Ability to integrate pipelines across the enterprise is essential.
Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR).
Knowledge of machine learning pipelines and integration with clinical data platforms.
May require travel up to 20%.


#AAI

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$150,500.00 - $245,500.00

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