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Phd Computer Science Jobs in Minnesota (NOW HIRING)

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

PhD in Computer Science or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track record for solving difficult ...

PhD in Computer Science or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track record for solving difficult ...

PhD in Computer Science or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track record for solving difficult ...

PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track ...

PhD in Engineering, Computer Science, Information Systems, OR * 6+ years of hands-on experience with PTC Windchill PLM in lieu of a degree Preferred Requirements: * Demonstrated experience working in ...

PhD in Engineering, Computer Science, Information Systems, OR * 6+ years of hands-on experience with PTC Windchill PLM in lieu of a degree Preferred Requirements: * Demonstrated experience working in ...

Showing results 21-40

Phd Computer Science information

See Minnesota salary details

$55.3K

$81.4K

$96K

How much do phd computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd computer science in Minnesota is $81,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $91,600.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Minnesota?

For Phd Computer Science jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Phd Computer Science jobs?

Cities in Minnesota with the most Phd Computer Science job openings:

Infographic showing various Phd Computer Science job openings in Minnesota as of August 2026, with employment types broken down into 8% Internship, 76% Full Time, 7% Part Time, and 9% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $81,398 per year, or $39.1 per hour.

Director, AI/ML Applied Science - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Re-posted yesterday


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 891 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

Optum AI team members:

  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone.
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development.
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Develop novel machine learning models for prediction of health outcomes and improved care, engagement models, and other applications from both structured and unstructured data
  • Develop and execute the vision for engineering platforms, and reusable code that will be used by thousands of other engineers for automation and improved efficiency of AI/ML development
  • Stay up to date with latest technologies and literature recommending solutions to improve business goals
  • Mentor data scientists, AI/ML scientists, and engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results
  • Collaborate with cross-functional teams to determine applicability of AI to business problems
  • Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards
  • Write both internal and external documentation of the novel algorithms, including patents and publications in machine learning and other scientific conferences and journals as well and/or infrastructure design and deployment procedures
  • Evangelize the benefits of the AI models and platforms built in our team to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 

Required Qualifications:

  • Masters degree in Computer Science, Math, Statistics, or a related field and 10 years experience OR a PhD in Computer Science or a related field and 5 years experience
  • 3 years experience focused on AI/ML/NLP solutions delivery
  • 5 years of experience experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production
  • Hands-on experience implementing AI/ML and/or NLP solutions
  • Proven experience in Python and AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch)
  • Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML)
  • Experience with Gen AI solution pipelines (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.)
  • Proven presentation experience with the ability to explain complex AI/ML concept and results to technical and non-technical audiences
  • Proven understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science

Preferred Qualifications:

  • PhD in Computer Science, Mathematics, Statistics, or a related discipline
  • Experience in healthcare (AI)
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in establishing AI/ML best practices, standards, and ethics
  • Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes, etc.)
  • Security and vulnerability management (package scans, remediation)
  • Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)
  • Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.  

#optumaiscience

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  


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