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Mixed Methods Research Jobs in Minnesota (NOW HIRING)

... clinical research. In this role, you'll apply your expertise to help train next-generation AI ... methods used in confirmatory trials, including survival analysis, mixed models, covariate ...

Biostatistician

Saint Paul, MN · Remote

$60 - $65/hr

... clinical research. In this role, you'll apply your expertise to help train next-generation AI ... methods used in confirmatory trials, including survival analysis, mixed models, covariate ...

Biostatistician

Minneapolis, MN · Remote

$60 - $65/hr

... clinical research. In this role, you'll apply your expertise to help train next-generation AI ... methods used in confirmatory trials, including survival analysis, mixed models, covariate ...

... clinical research. In this role, you'll apply your expertise to help train next-generation AI ... methods used in confirmatory trials, including survival analysis, mixed models, covariate ...

Help Desk Technician

Wayzata, MN

$20.25 - $27.25/hr

... and methodologies by attending training and meetings and research and reads technical literature ... Experience, ability, and commitment to working with individuals and teams that are mixed across ...

Electrical Designer

Saint Paul, MN · On-site

$90K - $130K/yr

... mixed-use projects. This position involves collaboration with project managers, estimators ... Review submittals, ensure compliance with NEC and local codes, and research regulatory standards.

Tasks include weighing, mixing, handling small objects, operating heating devices, and using ... and methodologies. * PolyFrit Manufacturing: Crafting PolyFrits to satisfy both internal and ...

Tasks include weighing, mixing, handling small objects, operating heating devices, and using ... and methodologies. * PolyFrit Manufacturing: Crafting PolyFrits to satisfy both internal and ...

Tasks include weighing, mixing, handling small objects, operating heating devices, and using ... and methodologies. * PolyFrit Manufacturing: Crafting PolyFrits to satisfy both internal and ...

Tasks include weighing, mixing, handling small objects, operating heating devices, and using ... and methodologies. * PolyFrit Manufacturing: Crafting PolyFrits to satisfy both internal and ...

Showing results 41-60

Mixed Methods Research information

What is the difference between Mixed Methods Research vs Data Analyst?

AspectMixed Methods ResearchData Analyst
Required CredentialsMaster's degree in social sciences, research methods, or related fieldsBachelor's or master's degree in statistics, data science, or related fields
Work EnvironmentResearch institutions, universities, or organizations conducting mixed-method studiesCorporate, tech, finance, or healthcare sectors analyzing data sets
Industry UsageUsed in academic research, social sciences, and market researchApplied across industries for data interpretation and reporting
Search & Comparison IntentUnderstanding research methodologies and qualificationsAnalyzing data trends and insights

While both roles involve data and research, Mixed Methods Research focuses on combining qualitative and quantitative research approaches, often in academic or social science settings. Data Analysts primarily interpret and visualize data within various industries to support decision-making. The roles differ in scope, environment, and skill sets but share a foundation in data analysis and research principles.

What are popular job titles related to Mixed Methods Research jobs in Minnesota?

For Mixed Methods Research jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Mixed Methods Research jobs?

Cities in Minnesota with the most Mixed Methods Research job openings:

Infographic showing various Mixed Methods Research job openings in Minnesota as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Director of Biostatistics

micro1 AI

Saint Paul, MN • Remote

$60 - $65/hr

Part-time

Posted 15 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.