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Datasets Jobs in Michigan (NOW HIRING)

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

* Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains. * Develop submission-ready datasets that comply ...

New

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role will leverage curated datasets to build a customer-level preference simulation engine , enabling optimized vehicle order guides (VOGs) for future model years. This is a highly impactful ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain datasets used for reporting and analytics. * Create and enhance Power BI dashboards and reports based on business needs. * Work with stakeholders to define reporting requirements ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain datasets used for reporting and analytics. * Create and enhance Power BI dashboards and reports based on business needs. * Work with stakeholders to define reporting requirements ...

Statistician

Ann Arbor, MI · On-site

$75 - $95/hr

* Analyze and aggregate large-scale pharmacological and clinical datasets to ensure integrity and usability for drug development. * Perform exploratory data analysis, including cleaning, organization ...

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Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What cities in Michigan are hiring for Datasets jobs?

Cities in Michigan with the most Datasets job openings:

Statistical Programmer

A2 Ai

Ann Arbor, MI • On-site

$75 - $110/hr

Other

Posted yesterday

New


Job description

  • Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains.
  • Develop submission-ready datasets that comply with CDISC standards, implementation guides, and controlled terminology.
  • Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation findings to ensure regulatory compliance.
  • Prepare and maintain Define-XML packages and supporting metadata for regulatory submissions.
  • Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets.
  • Perform quality control (QC) of datasets, programming outputs, and submission documentation to ensure accuracy, completeness, and consistency with source data.
  • Support regulatory submissions to agencies such as the FDA, PMDA, and EMA by producing high-quality, submission-ready datasets and documentation.
Requirements
  • Bachelor’s degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master’s degree preferred.
  • Experience generating and validating CDISC SDTM and ADaM NCA domains (e.g., PC/PP, ADPC, ADPP, and related datasets).
  • Proficiency with Pinnacle 21 (Community and/or Enterprise) for validation.
  • Proficiency with R or SAS.
  • Experience preparing or reviewing Define-XML (define packages) for regulatory submissions.
  • Strong understanding of CDISC standards, controlled terminology, and implementation guides.
  • Experience supporting regulatory submissions (FDA, PMDA, or EMA) is preferred.
  • Strong attention to detail and ability to work independently in a collaborative environment.
  • This position is ideal for someone with hands-on experience in clinical data standards who can efficiently produce submission-ready datasets and associated documentation for NCA analyses.
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