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Remote Biomedical Scientist Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$140K - $182K/yr

Analytics Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite.

Moderna

Intern, CMC Development (Summer 2027)

Ann Arbor, MI · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

Intern, CMC Development (Summer 2027)

Warren, MI · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

Intern, CMC Development (Summer 2027)

Flint, MI · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

Intern, CMC Development (Summer 2027)

Kalamazoo, MI · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

Intern, CMC Development (Summer 2027)

Lansing, MI · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

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All JobsBiomedical Scientist JobsRemote Biomedical Scientist JobsRemote Biomedical Scientist Jobs in Michigan

Remote Biomedical Scientist information

See Michigan salary details

$61.9K

$92.6K

$136.8K

How much do remote biomedical scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote biomedical scientist in Michigan is $92,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $136,800.00 per year, depending on experience, location, and employer.

What is a remote biomedical scientist?

A Remote Biomedical Scientist conducts biomedical research, analyzes laboratory data, and supports clinical or scientific studies from a remote location. They may work with digital lab tools, data management platforms, and virtual collaboration systems to assist healthcare, pharmaceutical, or research organizations. Typical duties include interpreting lab results, ensuring data accuracy, and contributing to scientific publications or regulatory compliance. This role is ideal for professionals with expertise in biomedical science who prefer a flexible, remote work environment.

What are the typical daily responsibilities of a remote biomedical scientist?

As a Remote Biomedical Scientist, your daily responsibilities often include analyzing scientific data, designing and interpreting experiments, keeping detailed records of findings, and preparing reports or publications. You may collaborate with other scientists, clinicians, and stakeholders through virtual meetings and project management platforms. Depending on your employer, you might also review literature, contribute to grant proposals, or provide guidance on study design and compliance. Remote roles require strong organization and communication skills to ensure effective integration with the broader research team and timely project delivery.

What are the key skills and qualifications needed to thrive in the remote biomedical scientist position, and why are they important?

To excel as a Remote Biomedical Scientist, you should possess an advanced degree in biomedical science or a related field, strong analytical skills, and experience in laboratory research techniques. Familiarity with digital lab notebooks, data analysis software (such as MATLAB or Python), and compliance certifications like GLP or GCP are often required. Excellent written communication, problem-solving abilities, and self-motivation are essential soft skills for independent remote work. These skills ensure accurate research outcomes, effective collaboration with virtual teams, and adherence to regulatory standards in a remote setting.

What are the most commonly searched types of Biomedical Scientist jobs in Michigan?

The most popular types of Biomedical Scientist jobs in Michigan are:

What are popular job titles related to Remote Biomedical Scientist jobs in Michigan?

For Remote Biomedical Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Scientist jobs in Michigan look for?

The top searched job categories for Remote Biomedical Scientist jobs in Michigan are:

What cities in Michigan are hiring for Remote Biomedical Scientist jobs?

Cities in Michigan with the most Remote Biomedical Scientist job openings:

Remote Biomedical Scientist jobs near you
Infographic showing various Remote Biomedical Scientist job openings in Michigan as of August 2026, with employment types broken down into 66% Full Time, 12% Part Time, 4% Temporary, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,554 per year, or $44.5 per hour.

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 22 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

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