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Remote Research Math 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 ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience reading, validating, and applying research with a healthy level of skepticism

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Remote Research Math information

What are the key skills and qualifications needed to thrive as a Remote Research Mathematician, and why are they important?

To thrive as a Remote Research Mathematician, you need a strong background in advanced mathematics, analytical problem-solving, and typically a graduate degree in mathematics or a related field. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, and familiarity with collaborative tools for remote teamwork are often required. Strong written communication, self-motivation, and critical thinking are crucial soft skills for effectively conducting and presenting independent research. These skills enable rigorous analysis, clear dissemination of findings, and successful collaboration in a remote research environment.

What are some common challenges faced by professionals in remote research math roles, and how can they be addressed?

Remote research math professionals often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex problems. To overcome these, it's essential to use collaborative digital tools, schedule regular video meetings, and document progress thoroughly. Additionally, setting structured working hours and frequent check-ins can help maintain momentum and foster a sense of teamwork, even when working independently. Proactively seeking feedback and sharing draft work also ensures alignment and productivity.

What are Remote Research Math jobs?

Remote Research Math jobs involve conducting mathematical research, analysis, and problem-solving from a location outside of a traditional office or lab, typically via the internet. Professionals in these roles may work for universities, research institutions, or private companies, collaborating with teams and publishing findings remotely. Tasks can include developing mathematical models, analyzing data, and applying advanced math to solve real-world problems. These jobs require strong mathematical skills, self-motivation, and the ability to communicate findings effectively in a virtual environment.

What is the difference between Remote Research Math vs Remote Data Analyst?

AspectRemote Research MathRemote Data Analyst
Required CredentialsAdvanced degrees in mathematics or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentResearch-focused, often academic or R&D settingsBusiness or tech industry, analyzing datasets
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles in mathAnalyzing data in business contexts

Remote Research Math involves advanced mathematical research, often in academic or R&D settings, requiring higher-level degrees. Remote Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, Research Math emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizations.

What cities in Michigan are hiring for Remote Research Math jobs? Cities in Michigan with the most Remote Research Math job openings:
Infographic showing various Remote Research Math job openings in Michigan as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Biostatistician - Remote (US)

Senior Biostatistician - Remote (US)

MMS Holdings Inc.

Canton, MI • On-site, Remote

Full-time

Posted 17 days ago


Job description

About MMS
Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Senior Biostatistician:
Responsibilities:
  • Create randomization and kit schedules independently, collaborate with sponsor, randomization and drug supply management teams.
  • Develop phase 1-4 SAPs and make significant contributions to iSAPs. Create SAP TLFs shells for all phases and studies.
  • Review ADAM and TLFs; work with client and programmers to resolve comments.
  • Strong programming and logic skills (working knowledge of SAS)
  • Ability to apply drug development knowledge during production of high quality statistical analyses.
  • Perform sample size calculations for a variety of scenarios and study designs.
  • Leads projects (all phases and even a program of studies) and smaller submissions, manages client meetings, CRMs, collaborates well with regulatory, PMs and sponsor.
  • Strong knowledge of CDISC (especially SDTM and ADaM), looks to understand guidance from FDA from the different therapeutical areas.
  • Understand the various tools that we work with
  • High level knowledge of drug development as it pertains to biostatistics.
  • Provides support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician.
  • Review the statistical section of a Sponsor's protocol and ensure that the appropriate statistical methods are proposed for the study design and objectives. Provide valuable feedback to the Sponsor on the statistical aspects of the study. Create the statistical section of the Sponsor's protocol with minimal support
  • High proficiency with MS Office applications
  • Demonstrate an understanding of project management-related tasks such as timelines, scope and resource requirement estimation.
  • Provide ICH guideline based input as applicable to statistics.
  • Prepare and review statistical methods and results sections for the CSR with minimal support in collaboration with in-house medical writers.
Requirements:
  • College graduate in Biostatistics, Statistics, or Mathematics discipline or related field, masters or PhD preferred, or many years of related experience required.
  • Minimum of 5 years' experience in Biostatistics or similar field required.
  • Expert knowledge of scientific principles and concepts.
  • Has high level knowledge of drug development as it pertains to biostatistics; has the ability to apply drug development knowledge during production of high quality statistical analyses.
  • Strong SAS programming, SAS base, SAS macro experience.
  • Thorough knowledge and understanding of clinical data preferred.
  • Strong experience with data and production of TLGs.
  • Excellent scientific writing skills.
  • Strong resource for biostatistics; willing to guide others in a variety of biostatistical techniques.
  • Proficiency with MS Office applications.
  • Hands-on experience with clinical trial and pharmaceutical development preferred.
  • Good communication skills and willingness to work with others to clearly understand needs and solve problems.
  • Excellent problem-solving skills.
  • Good organizational and communication skills.
  • Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
  • Basic understanding of CROs and scientific & clinical data/terminology, & the drug development process.

Please consider your application unsuccessful if we do not reach out to you within 14 days of your submission.