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Postdoc Data Science Remote Jobs in Minnesota (NOW HIRING)

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Postdoc Data Science Remote information

What are the key skills and qualifications needed to thrive as a Postdoc Data Science Remote, and why are they important?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote Postdoc Data Scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is a Postdoc Data Science Remote position?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Minnesota? For Postdoc Data Science Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Minnesota look for? The top searched job categories for Postdoc Data Science Remote jobs in Minnesota are:
Infographic showing various Postdoc Data Science Remote job openings in Minnesota as of May 2026, with employment types broken down into 3% Internship, 27% Full Time, 51% Part Time, 3% Temporary, 13% Contract, and 3% Nights. Highlights an 100% Hybrid job distribution.
Data Scientist - Remote

Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Medical, Retirement

Posted 11 days ago


UnitedHealthcare rating

7.8

Company rating: 7.8 out of 10

Based on 651 frontline employees who took The Breakroom Quiz

102nd of 864 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together


This Data Scientist is the first of its kind and critical role for accelerating the AI agenda across UHC Consumer Operations. This position will report to the Sr Director Data AI Program Management, Governance and Data Integrity. This position combines data science with healthcare innovation, AI ethics, and regulatory compliance, providing a unique opportunity to help shape the future of AI applications in healthcare.


In this role, you will collaborate with cross-functional teams to refine AI methodologies, develop and validate robust testing protocols to identify potential model failures.  A successful candidate will interact with diverse teams using a wide variety of AI methods and validate test plans and results.  They will design and oversee testing and monitoring plans for novel use cases across a wide spectrum of types of AI and healthcare applications.  


The role will participate in UHG's external industry groups involve with AI policy. The role requires ability to write clear documentation on use-case specific testing requirements.  You will also engage with stakeholders to advocate for and drive the adoption of responsible AI practices, providing a unique opportunity to shape the future of ethical AI applications in healthcare.


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:

  • Design and write new guidelines for AI testing and ongoing monitoring
  • Design and document improved testing methodologies, especially for novel use cases
  • Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML
  • Document findings, create reports related to KPOs, and present results to stakeholders
  • Develop job aids and guidance documentation for best practices of responsible AI
  • Help identify vulnerabilities related to PII/PHI exposure in AI interactions
  • Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work
  • Be in lock step with AI strategy counterpart in delivering against AI strategy and product vision and roadmap that is focused on company goals and consumer needs
  • Support AI program office, setting clear priorities, success metrics and cross functional alignment
  • Build and enforce consistent AI lifecycle management process (ideation, model development, testing, deployment, monitoring, retirement) including rinse and repeat playbook for AI Review Board (AIRB)
  • Enforce policies for data quality, lineage, accuracy and security across AI pipelines
  • Build in partnership with data engineering and platform teams best-in-class data models and maintenance programs to set the foundation for scalable AI growth
  • Establish data validating protocols to reduce the risk of integrity related incidents
  • Build, converge and deliver data API's that prevent data drift, model decay and data hygiene related risks
  • Design and oversee AI performance reporting dashboards covering accuracy, bias, fairness, operational health, real time anomaly detection and more
  • Establish and lead the AI incident management framework, including severity levels, response times and escalation protocols
  • Drive adoption of AI risk management practices
  • Support key priorities of increasing employee and management engagement by promoting Our United Culture and DEI concepts and activities with leaders and within the organization


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:

  • 8 years of experience in computer science, applied mathematics, applied statistics, linguistics or related quantitative fields
  • Experience in establishing data integrity and governance frameworks at scale
  • Extensive experience with advanced natural language processing models and clinical natural language processing, clinical de-identification, and clinical annotation
  • Deep understanding of AI ethics and fairness considerations
  • Proficiency in the full machine learning lifecycle including development, deployment, and monitoring
  • Proven solid analytical and problem-solving skills
  • Legally authorized to work in the US without any restrictions. Proof will be required.


Preferred Qualifications:

  • Experience collaborating with cross-functional teams including product managers and business stakeholders
  • Experience partnering with AI forward companies like Amazon, Google, Microsoft and the likes
  • Knowledge of large language models, conversational AI, prompt engineering, and adversarial testing
  • Familiarity with regulatory frameworks relevant to AI healthcare systems including claims payment and call centers
  • History of delivering production systems that include clinical natural language processing, sentiment analysis, text classification, medical/health informatics, clinical de-identification, and clinical annotation
  • Proven ability to translate business needs into technical solutions


*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 $91,700 to $163,700 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. #UHCAI10


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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