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Entry Level Behavioral Data Science Jobs in Rochester, MN

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Lead BCBA

Rochester, MN · On-site

$72K - $88K/yr

... scientific rigor in one hand and steady, sensitive care in the other and never let go! We call them ... Let data guide your decisions, and keep each child squarely at the center What we're looking for

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Entry Level Behavioral Data Science information

See Rochester, MN salary details

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How much do entry level behavioral data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level behavioral data science in Rochester, MN is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.21 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Rochester, MN? For Entry Level Behavioral Data Science jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in Rochester, MN look for? The top searched job categories for Entry Level Behavioral Data Science jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Entry Level Behavioral Data Science jobs? Cities near Rochester, MN with the most Entry Level Behavioral Data Science job openings:
Medical Engineer

Contractor

Re-posted 16 days ago


Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.