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Postdoctoral Data Scientist Jobs in Utah (NOW HIRING)

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... D. degree in Biology, Computer Science, Engineering, Math/Stats, or related life sciences field.

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... D. degree in Biology, Computer Science, Engineering, Math/Stats, or related life sciences field.

University of Utah

Post Doc Fellow w/Ret

Salt Lake City, UT · On-site

$47K - $64K/yr

Alysse Loomis, the postdoctoral fellow will contribute to several ongoing studies and evaluations ... Lead and support data management, cleaning, and reporting for state- and federally funded early ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT

$65K - $73K/yr

... postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full ... Data Science). * Strong publication record for your career stage and evidence of driving projects ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full ... Data Science). * Strong publication record for your career stage and evidence of driving projects ...

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Postdoctoral Data Scientist information

What are some typical collaborative projects a postdoctoral data scientist might work on within a research team?

As a Postdoctoral Data Scientist, you can expect to work closely with both academic researchers and industry professionals on interdisciplinary projects. These collaborations often involve designing and implementing advanced data analysis pipelines, developing machine learning models, and interpreting complex datasets to extract actionable insights. You may also co-author scientific papers, contribute to grant proposals, and present findings at conferences. Collaboration is crucial, as you will regularly share your expertise with other scientists and provide guidance on best practices in data management and analysis.

What are the key skills and qualifications needed to thrive as a postdoctoral data scientist, and why are they important?

To thrive as a Postdoctoral Data Scientist, you need advanced statistical analysis, machine learning expertise, and a PhD in a quantitative field such as computer science, statistics, or engineering. Familiarity with programming languages like Python or R, data visualization tools, and experience with big data platforms are typically required. Strong problem-solving, communication, and project management skills help you effectively collaborate across disciplines and present complex findings. These skills ensure you can drive impactful research, translate data into actionable insights, and contribute to scientific and organizational goals.

What is the difference between Postdoctoral Data Scientist vs Data Scientist?

AspectPostdoctoral Data ScientistData Scientist
Required CredentialsPhD in Data Science, Computer Science, or related fieldBachelor's or Master's degree in relevant field, often with industry experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageResearch-focused roles, academia collaborationsProduct development, analytics, business intelligence
Common Search & ComparisonResearch, academic projects, postdoctoral rolesIndustry projects, data analysis, machine learning applications

Postdoctoral Data Scientists typically hold a PhD and work in research or academic settings, focusing on advanced data analysis and experimentation. Data Scientists usually have a bachelor's or master's degree and work in industry, applying data analysis and machine learning to solve business problems. The roles differ mainly in work environment and experience level, but both require strong analytical skills and familiarity with data tools.

What is a postdoctoral data scientist?

A Postdoctoral Data Scientist is a researcher who has completed their doctoral studies (PhD) and is engaged in advanced research and analysis involving large data sets. They often work in academic, government, or industry settings, applying statistical, computational, and machine learning techniques to solve complex problems. Their work may involve developing new methodologies, publishing research findings, and collaborating with interdisciplinary teams. Postdoctoral Data Scientists typically aim to expand their expertise and contribute to scientific knowledge before moving to more permanent positions.

What are popular job titles related to Postdoctoral Data Scientist jobs in Utah?

For Postdoctoral Data Scientist jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Data Scientist jobs in Utah look for?

The top searched job categories for Postdoctoral Data Scientist jobs in Utah are:

What cities in Utah are hiring for Postdoctoral Data Scientist jobs?

Cities in Utah with the most Postdoctoral Data Scientist job openings:

Postdoctoral Data Scientist jobs near you
Infographic showing various Postdoctoral Data Scientist job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Postdoctoral Researcher - Passive Seismic Imaging

Zanskar

Salt Lake City, UT • Hybrid

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Postdoctoral Researcher - Passive Seismic Imaging


Location: Salt Lake City, UT (hybrid)
Benefits Eligible: yes
Salary: $85k - $95k
Manager: Seismic Team Lead

Why we exist and why we need you

Geothermal energy is the most abundant renewable energy source in the world. However, historically it's been hard to find and expensive to develop. At Zanskar, we're using advanced technology to find and develop new geothermal resources that make baseload geothermal a cost-effective and vital contributor to a carbon-free energy future. We are revolutionizing the exploration process, setting new industry standards for discovery rates by finding new prospects at an unprecedented scale and working to develop faster and cheaper with scale and reduced risk drilling. 

We're seeking a Postdoctoral Researcher in Passive Seismic Imaging to help advance how we image the subsurface using earthquakes and ambient noise. Working alongside our exploration and R&D teams, you'll help convert passive seismic signals into actionable items: images of basement depth, and fault geometry, that improve how we characterize prospects.

Outcomes - Problems you'll solve
  • Build velocity models and image basement depth, layering, and fault structure from passive arrays
  • Locate and analyze microseismicity to map active faults, stress regimes, and structural controls
  • Develop, benchmark, and refine passive seismic imaging methods
  • Construct reproducible, well-documented processing pipelines (Python/ObsPy or equivalent) that scale to large datasets
  • Work with the exploration and R&D teams to integrate passive imaging into prospect evaluation
What we're looking for

Required

  • Ph.D. (completed or near completion) in geophysics, seismology, or a closely related field
  • Demonstrated research expertise in passive seismic methods such as ambient noise tomography or microseismic analysis, evidenced by peer-reviewed publications
  • Strong foundation in seismic signal processing and inversion
  • Proficiency in scientific computing and reproducible workflows (e.g., Python, HPC), with version control (e.g., Git/GitHub) a plus
  • Ability to translate research-stage methods into practical, decision-grade tools under real-world data and time constraints
  • Strong cross-disciplinary collaboration skills, able to communicate and integrate effectively with geologists, geophysicists, engineers, and data scientists
Location and Benefits
  • The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position
  • Benefits include:
  • Paid holidays
  • 18 days PTO + PTO accrual increase based on tenure
  • Medical, dental and vision coverage
  • 401k 
  • Life insurance + Short term & Long term disability
  • Growth opportunities at a company with a direct impact in displacing carbon emissions
Equal Opportunity Employer
 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws. 
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