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Remote Quantitative Researcher Jobs in Minnesota

micro1 AI

Director of Biostatistics

Rochester, MN · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

micro1 AI

Biostatistician

Minneapolis, MN · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

micro1 AI

Director of Biostatistics

Saint Paul, MN · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

micro1 AI

Biostatistician

Saint Paul, MN · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

micro1 AI

Biostatistician

Rochester, MN · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

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All JobsQuantitative Researcher JobsRemote Quantitative Researcher JobsRemote Quantitative Researcher Jobs in Minnesota

Remote Quantitative Researcher information

What are the key skills and qualifications needed to thrive as a remote quantitative researcher?

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

What is the difference between Remote Quantitative Researcher vs Remote Data Analyst?

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

How does a remote quantitative researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

Do remote quantitative researchers work remotely?

Remote quantitative researchers typically work from home or other remote locations, utilizing data analysis tools, programming languages, and communication platforms. Their work environment is flexible, and many roles are fully remote, especially in organizations that prioritize digital collaboration and data-driven decision-making.

What is a remote quantitative researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.
What are the most commonly searched types of Quantitative Researcher jobs in Minnesota? The most popular types of Quantitative Researcher jobs in Minnesota are:
What are popular job titles related to Remote Quantitative Researcher jobs in Minnesota? For Remote Quantitative Researcher jobs in Minnesota, the most frequently searched job titles are:
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What cities in Minnesota are hiring for Remote Quantitative Researcher jobs? Cities in Minnesota with the most Remote Quantitative Researcher job openings:
Remote Quantitative Researcher jobs near you

Director of Biostatistics

micro1 AI

Rochester, MN • Remote

$60 - $65/hr

Part-time

Posted 4 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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