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Remote Health Science Jobs in Michigan (NOW HIRING)

Relativity

Principal Applied Scientist

Detroit, MI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

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 ...

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All JobsHealth Science JobsRemote Health Science JobsRemote Health Science Jobs in Michigan

Remote Health Science information

See Michigan salary details

$9.6K

$70.1K

$133.8K

How much do remote health science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote health science in Michigan is $70,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $97,600.00 per year, depending on experience, location, and employer.

Can you work from home with a health science degree?

Remote health science jobs are available and often include roles such as health educators, medical writers, telehealth coordinators, and research analysts. These positions typically require strong communication skills, familiarity with health data, and sometimes specific certifications, allowing many to be performed from home with a computer and internet access.

How can I make 2000 a week working from home?

Remote health science professionals can earn $2000 or more weekly by combining multiple freelance or part-time roles, such as telehealth consulting, medical writing, or data analysis, often requiring relevant certifications and strong communication skills. Building a client base and leveraging telecommuting platforms can help increase income, but reaching this level typically involves a high volume of work or specialized expertise.

What is a Remote Health Science job?

A Remote Health Science job involves working in health-related fields such as research, education, public health, or healthcare administration from a remote location. These roles can include telehealth providers, medical writers, health data analysts, and remote health educators. Professionals use digital tools to communicate with patients, conduct research, or manage healthcare programs. Remote health science jobs offer flexibility while maintaining the ability to impact patient care, health policies, or scientific advancements.

How can I make $70,000 a year working from home?

A remote health science professional can reach a $70,000 annual salary by gaining specialized certifications, such as in clinical research or health informatics, and developing strong skills in data analysis, telehealth platforms, and medical software. Many roles in this field offer remote work options and flexible schedules, with higher salaries often associated with experience, advanced education, and in-demand expertise.

What jobs make $10,000 a month without a degree?

In remote health science, high-paying roles such as medical sales representatives, health consultants, or telehealth program managers can reach $10,000 or more monthly, often requiring strong communication skills, industry knowledge, and certifications rather than a traditional degree. These positions typically involve sales, client management, or specialized health services delivered remotely. Success depends on experience, network, and performance rather than formal education alone.

What are the key skills and qualifications needed to thrive in the Remote Health Science position, and why are they important?

To thrive in a Remote Health Science role, you need a solid background in health sciences or a related field, often backed by a relevant degree and experience in research or clinical analysis. Familiarity with digital collaboration tools, data analysis software, and, depending on the position, certifications in areas like public health or clinical research are highly advantageous. Strong written communication, self-motivation, and the ability to work independently are vital soft skills in this remote setting. These capabilities ensure you can efficiently conduct research, analyze data, and contribute to health science projects from a distance, maintaining productivity and collaboration with a geographically dispersed team.

What are the typical daily responsibilities for a Remote Health Science professional?

As a Remote Health Science professional, your daily responsibilities may include conducting literature reviews, analyzing scientific or clinical data, preparing reports or presentations, and collaborating with colleagues through online platforms. You'll often participate in virtual meetings with interdisciplinary teams and may be tasked with designing or supporting research studies, depending on your specific focus area. Staying organized and communicating findings clearly are key aspects of the job, along with maintaining up-to-date knowledge of advancements in health science. This structure allows for both independent work and regular collaboration, ensuring projects progress smoothly despite the remote setting.

What are the most commonly searched types of Health Science jobs in Michigan? The most popular types of Health Science jobs in Michigan are:
What are popular job titles related to Remote Health Science jobs in Michigan? For Remote Health Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Health Science jobs in Michigan look for? The top searched job categories for Remote Health Science jobs in Michigan are:
What cities in Michigan are hiring for Remote Health Science jobs? Cities in Michigan with the most Remote Health Science job openings:
Remote Health Science jobs near you
Principal Applied Scientist

Principal Applied Scientist

Relativity

Detroit, MI • On-site, Remote

Other

Medical, Retirement

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

Job description

Posting Type

Remote/Hybrid

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential.
Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most.
WHAT WE DO
At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system.
Applied Science Team
The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build.
Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production.

Job Description and Requirements

ABOUT THE ROLE

As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams.

This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design.

WHAT YOU'LL DO

  • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain
  • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers
  • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks
  • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models
  • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models
  • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it
  • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale
  • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible

WHAT WE'RE LOOKING FOR

  • 8+ years of professional experience in applied science, machine learning, or a closely related field
  • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience
  • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems
  • Experience reading, validating, and applying research with a healthy level of skepticism
  • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models
  • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems
  • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences
  • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners
  • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure

WHY WE COULD BE A GREAT FIT

HighImpact Problems

  • Work on intelligent systems that operate in one of the most highstakes domains, where trust, reliability, and defensibility truly matter.

Agentic AI at Scale

  • Build and extend AI systems that reason across millions of documents, cite their decisions, and automate complex legal workflows.

Scientific Rigor and RealWorld Impact

  • Apply deep experimentation and statistical validation to systems that ship to real customers and influence real outcomes.

Leadership and Growth

  • Lead technically while continuously learning in a thoughtful, supportive, and intellectually rich Applied Science organization.

Collaborative Culture

  • Join a team that values kindness, curiosity, technical excellence, and shared ownership of outcomes.

Compensation and Benefits

  • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$224,000 and $336,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Apply