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Remote Biotech Data Analyst Jobs in Rochester, MI

The Litigation Project Analyst position is fully remote and open to our offices in California ... Perform data intake and basic triage of structured and unstructured data under the direction of ...

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

QA Analyst

Detroit, MI · On-site +1

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... results, perform data analysis, and document in formal reports including conclusions and ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Showing results 41-60

Remote Biotech Data Analyst information

See Rochester, MI salary details

$31.3K

$76.1K

$125.2K

How much do remote biotech data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote biotech data analyst in Rochester, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What job categories do people searching Remote Biotech Data Analyst jobs in Rochester, MI look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Remote Biotech Data Analyst jobs?

Cities near Rochester, MI with the most Remote Biotech Data Analyst job openings:

Infographic showing various Remote Biotech Data Analyst job openings in Rochester, MI as of August 2026, with employment types broken down into 2% Internship, 69% Full Time, 15% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,066 per year, or $36.6 per hour.

Quantitative Reasoning Specialist - Remote

Detroit, MI • Remote

micro1 AI
Software Development • 11 - 50 employees

$245 - $280/hr

Part-time

Posted 18 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts