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Julia Programming Jobs in Minnesota (NOW HIRING)

Sr Applied Scientist I

Saint Paul, MN · On-site

$118K - $177K/yr

Write and maintain production-level code in R, Python, Julia, or similar languages to support ... engineering, product, and customer teams to deliver solutions that meet business objectives

Applied Scientist I

Saint Paul, MN · On-site

$96K - $144K/yr

Write and maintain code in R, Python, Julia, or similar languages to support research deliverables ... engineering, product, and customer teams to deliver solutions that meet business objectives

Julia Programming information

See Minnesota salary details

$43.6K

$69.4K

$97K

How much do julia programming jobs pay per year?

As of Jul 27, 2026, the average yearly pay for julia programming in Minnesota is $69,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $86,700.00 per year, depending on experience, location, and employer.

Why don't I recommend Julia anymore?

Julia programming jobs are less common compared to other languages like Python or C++, partly due to its smaller community and limited industry adoption. While Julia is valued for high-performance numerical computing, fewer companies use it in production, which can impact job availability and career growth opportunities.

What tech jobs pay 400,000 a year?

High-paying tech jobs that can reach or exceed $400,000 annually include senior software engineers, machine learning engineers, data scientists, and technical executives such as CTOs. These roles typically require extensive experience, advanced skills in programming, data analysis, or leadership, and often involve working in high-demand industries or large organizations.

What are the key skills and qualifications needed to thrive in the Julia Programming position, and why are they important?

To excel in Julia Programming, candidates need strong programming abilities in Julia, a background in mathematics or computer science, and experience with scientific computing or data analysis. Proficiency with Julia's ecosystem—such as packages like DataFrames.jl, Plots.jl, and integrating with Python or C libraries—is often required, and certifications in data science or related fields may be beneficial. Excellent problem-solving skills, attention to detail, and the ability to collaborate within multidisciplinary teams distinguish top professionals in this field. These competencies are crucial for building efficient, scalable solutions and contributing effectively to projects across research, engineering, or analytics domains.

What kinds of projects or tasks do professionals in Julia Programming typically work on?

Professionals in Julia Programming often work on high-performance computing projects, data analysis, machine learning pipelines, and numerical modeling tasks, particularly in scientific research, finance, or engineering contexts. Their daily responsibilities may include writing and optimizing Julia code, collaborating with domain experts, and integrating Julia with other languages or technologies. Teams are often interdisciplinary and value strong communication skills, as many projects involve joint problem-solving with researchers, engineers, or data scientists. This role offers significant growth opportunities because Julia expertise is in increasing demand for projects where execution speed and scalability are critical.

Does NASA use Julia?

NASA has explored Julia for scientific computing and data analysis due to its high performance and ease of use. The agency has used Julia in some research projects, but it is not the primary programming language across all NASA operations. Most NASA software still relies on languages like C++, Python, and Fortran.

Is Julia in demand?

Julia programming skills are increasingly in demand, especially in data science, scientific computing, and machine learning fields. Companies value Julia for its high performance and ease of use, leading to growing job opportunities for developers proficient in the language.

What is a Julia Programming job?

A Julia Programming job involves using the Julia language to develop high-performance applications, data analysis pipelines, or scientific computing solutions. Professionals in this role often work in fields such as finance, machine learning, or computational science, leveraging Julia’s speed and efficiency for complex computations. Responsibilities may include writing efficient code, optimizing algorithms, and integrating Julia with other technologies. Employers typically seek candidates with strong programming skills, experience in numerical computing, and familiarity with parallel processing.

What are the most commonly searched types of Julia Programming jobs in Minnesota? The most popular types of Julia Programming jobs in Minnesota are:
What are popular job titles related to Julia Programming jobs in Minnesota? For Julia Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Julia Programming jobs in Minnesota look for? The top searched job categories for Julia Programming jobs in Minnesota are:
Infographic showing various Julia Programming job openings in Minnesota as of July 2026, with employment types broken down into 47% Full Time, 8% Part Time, 1% Contract, and 44% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $69,398 per year, or $33.4 per hour.
Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain Stimulat

Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain Stimulat

University of Minnesota

Minneapolis, MN

$63K - $74K/mo

Full-time

Medical, Dental, Life

Posted 12 days ago


Job description

About the Job
 

Position Summary:
The Post-Doctoral Associate will join an interdisciplinary research program focused on understanding the neural circuit mechanisms underlying cognition and psychiatric illness. The successful candidate will lead analyses of human intracranial electrophysiology, behavioral, and brain stimulation datasets; develop computational models of neural and behavioral processes; contribute to experimental design; and disseminate findings through publications and conference presentations. This position provides a unique opportunity to work with rare human intracranial datasets and advanced neuromodulation approaches while developing an independent research trajectory in systems, cognitive, or clinical neuroscience.
Work Schedule: In-person (Hybrid flexibility possible), M-F and weekends.

Duties/Responsibilities: 
40% - Research and Data Analysis:

  • Analyze human behavioral, electrophysiological, neuroimaging, and brain stimulation datasets.
  • Develop computational models of cognition, behavior, and neural activity.

25% - Experimental Design and Study Execution:

  • Design, implement, and oversee cognitive neuroscience and neuromodulation experiments.
  • Contribute to protocol development and data collection efforts.

20% - Manuscript and Grant Preparation:

  • Lead and contribute to scientific publications.
  • Assist with grant writing and development of new research initiatives.

10% - Mentorship and Collaboration:

  • Mentor graduate students, research staff, and trainees.
  • Collaborate with investigators across psychiatry, neurosurgery, neuroscience, engineering, and psychology.

5% - Scientific Dissemination:

  • Present research findings at conferences, seminars, and collaborative meetings.
     
Qualifications
 

Required Qualifications:

  • PhD, MD/PhD, or equivalent doctoral degree in neuroscience, psychology, cognitive science, biomedical engineering, computer science, psychiatry, neurology, statistics, or a related field.
  • Strong quantitative and programming skills.
  • Experience analyzing human behavioral, electrophysiological, neuroimaging, or other complex biological datasets.
  • Demonstrated scholarly productivity through publications, preprints, or equivalent research outputs.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications: 

  • Experience with intracranial EEG, ECoG, stereo-EEG, DBS recordings, or neural stimulation studies.
  • Expertise in computational modeling, including reinforcement learning, Bayesian methods, drift-diffusion models, or state-space approaches.
  • Experience with Python, MATLAB, R, Julia, or related scientific computing tools.
  • Familiarity with human cognitive neuroscience experiments and task design.
  • Experience with neuromodulation methods including TMS, tACS, DBS, or responsive neurostimulation.
  • Interest in computational psychiatry, addiction, depression, chronic pain, or related translational neuroscience research.
About the Department
 

The Herman Darrow Lab at the University of Minnesota conducts interdisciplinary research at the intersection of human cognitive neuroscience, computational psychiatry, intracranial electrophysiology, and brain stimulation. The lab investigates how distributed neural circuits support cognition, decision-making, working memory, cognitive control, and psychiatric symptoms. Research combines human intracranial recordings, computational modeling, behavioral experimentation, and neuromodulation approaches to develop circuit-based interventions for psychiatric and neurological disorders.

To learn more about the Department of Psychiatry and Behavioral Sciences, please visit https://med.umn.edu/psychiatry. 

Pay and Benefits
 

Pay Range: $63,480 - $74,424 annually; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.