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Remote Quantitative Analyst Jobs in Rochester Hills, MI

micro1 AI

Biostatistician

Detroit, MI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

  • Medical

  • Dental

  • Life

  • PTO

Position Overview Quality Analytics is a product group within GDIA that builds cutting-edge on ... Master's degree in Computer Science, Computer Engineering, or a related quantitative field.

Pillar Technology

Experience Architect

Detroit, MI · On-site +1

Plan, conduct and moderate user research for clients, both qualitative and quantitative, and ... remote user testing, survey research, usability testing, task analysis, and heuristic reviews.

Deloitte

IT Organizational Change Manager

Detroit, MI · On-site +1

Perform quantitative and qualitative assessments such as stakeholder analysis and change impact ... predominantly remote with the option to work from home or a nearby Deloitte office Preferred ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Ra

Health Care Analyst (Medicare)

Detroit, MI · Remote

Company Description About Client: They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!! Job Title:

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Showing results 21-40

All JobsQuantitative Analyst JobsRemote Quantitative Analyst JobsRemote Quantitative Analyst Jobs in Rochester Hills, MI

Remote Quantitative Analyst information

See Rochester Hills, MI salary details

$52K

$123.2K

$220.9K

How much do remote quantitative analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote quantitative analyst in Rochester Hills, MI is $123,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $133,900.00 per year, depending on experience, location, and employer.

What challenges do remote quantitative analysts face and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What skills and qualifications are needed to be a remote quantitative analyst?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What is a remote quantitative analyst?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What are popular job titles related to Remote Quantitative Analyst jobs in Rochester Hills, MI?

For Remote Quantitative Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:

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

The top searched job categories for Remote Quantitative Analyst jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Remote Quantitative Analyst jobs?

Cities near Rochester Hills, MI with the most Remote Quantitative Analyst job openings:

Remote Quantitative Analyst jobs near you
Infographic showing various Remote Quantitative Analyst job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 7% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,228 per year, or $59.2 per hour.

Biostatistician

micro1 AI

Detroit, MI • Remote

$60 - $65/hr

Part-time

Posted 12 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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