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Full Time Remote Data Science Jobs in Michigan (NOW HIRING)

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

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Full Time Remote Data Science information

What is the difference between Full Time Remote Data Science vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScienceFull Time Remote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic analytical skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data interpretation and reporting
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Remote Data Science roles typically require advanced analytical skills, programming, and statistical knowledge, working on complex models. Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are remote and industry-specific but differ in technical depth and responsibilities.

Can I work remotely as a full time remote data scientist?

Full-time remote data scientist positions are common in the industry, allowing professionals to work from home or other locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer remote options for qualified candidates, especially in tech-focused or data-driven organizations.

What are the most commonly searched types of Remote Data Science jobs in Michigan?

The most popular types of Remote Data Science jobs in Michigan are:

What job categories do people searching Full Time Remote Data Science jobs in Michigan look for?

The top searched job categories for Full Time Remote Data Science jobs in Michigan are:

Infographic showing various Full Time Remote Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Analyst, Clinical Data Sciences (Remote)

Portage, MI • On-site, Remote

Stryker
Medical Equipment and Supplies Manufacturing • 10K+ employees

$124K - $207K/yr

Full-time

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


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 113 frontline employees who took The Breakroom Quiz


Job description

Work Flexibility: Remote or Hybrid or Onsite

Stryker is hiring a Lead Analyst, Clinical Data Sciences for our Instruments division. This is a U.S.-based remote position, with preference for candidates located in the Eastern or Central time zones.

Join Stryker Instruments in a role that sits at the intersection of clinical evidence, analytics, and business strategy. This position serves as a key connector between clinical questions and data-driven insights, helping stakeholders across Medical Affairs, Clinical Research, Regulatory Affairs, Reimbursement, Market Access, and commercial teams make informed decisions based on high-quality evidence. As part of a growing Clinical Data Sciences function, you will help establish scalable evidence-management capabilities while shaping how clinical evidence is evaluated and leveraged across the organization.

This role combines evidence strategy, evidence management, and insight generation, partnering closely with technical experts who build data products and automation solutions. The position offers broad exposure across Stryker Instruments' portfolio and supports initiatives that influence product, regulatory, clinical, and investment decisions.

What You Will Do

  • Lead implementation and management of evidence workflows, including systematic review processes, data extraction, quality control, reporting, and evidence repositories.

  • Build and scale evidence-management processes across multiple business units, transforming clinical and regulatory requirements into standardized, repeatable workflows.

  • Translate clinical, regulatory, reimbursement, and business questions into structured analyses and evidence-based recommendations.

  • Generate and interpret insights from clinical literature, real-world evidence, registries, claims data, and other scientific sources.

  • Partner with Medical Affairs, Clinical Research, Regulatory Affairs, Market Access, and business stakeholders to prioritize evidence needs and communicate findings.

  • Support clinical evaluation reports, post-market clinical follow-up activities, publications, scientific communications, and regulatory submissions through evidence synthesis and analytical support.

  • Evaluate clinical evidence across product portfolios, identify evidence gaps, and support prioritization of future evidence-generation investments.

  • Drive continuous improvement by partnering with technical teams to automate evidence workflows, enhance data solutions, and expand adoption of evidence-management tools.

What You Need

Required

  • Bachelor's degree in Life Sciences, Biomedical Engineering, Epidemiology, Health Economics and Outcomes Research (HEOR), Public Health, Data Science, or a related field.
  • Minimum 4 years of experience in clinical evidence, medical affairs analytics, HEOR, epidemiology, clinical research, or data science with clinical application.
  • Experience translating clinical, scientific, regulatory, or business questions into structured analyses and actionable insights.
  • Experience conducting clinical literature reviews, evidence synthesis, systematic reviews, or evidence-management activities.
  • Experience presenting analytical findings and evidence-based recommendations to non-technical stakeholders.

Preferred

  • Advanced degree (MS, MPH, PhD, or equivalent) in Life Sciences, Engineering, Epidemiology, Biostatistics, Public Health, Data Science, or related field.
  • Hands-on experience with DistillerSR, ReadCube, or similar evidence-management platforms.
  • Familiarity with medical device regulatory requirements, including FDA submissions, European Union Medical Device Regulation (EU MDR), Clinical Evaluation Reports (CERs), and Post-Market Clinical Follow-Up (PMCF) activities.
  • Experience with analytics and visualization tools such as Power BI, Tableau, R, Python, or SQL.
  • Experience working with real-world data sources, healthcare claims, registries, or observational datasets.

United States of America Pay Ranges:

  • USN: $95,700 - $159,500 USD Annual
  • US5: $100,500 - $167,500 USD Annual
  • US10: $105,300 - $175,500 USD Annual
  • US15: $110,100 - $183,400 USD Annual
  • US20: $114,800 - $191,400 USD Annual
  • US30: $124,400 - $207,400 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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