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Privacy Preserving Machine Learning Jobs in Minnesota

... machine learning, generative AI, and intelligent automation. Champion Responsible AI principles and AI-DLC governance, including model evaluation, monitoring, data governance, security, privacy, and ...

Contribute to AI, machine learning, and automation initiatives where applicable. Required ... You can access our privacy policy at Everforth Apex Benefits Overview: Everforth Apex offers a ...

New

... Preserving the long term success and legacy of our Company are the foundation on which we build our ... Develop and deploy advanced vision systems and machine learning models to enhance visual inspection ...

Senior Automation Engineer

Red Wing, MN · On-site

$110K - $148K/yr

... Preserving the long term success and legacy of our Company are the foundation on which we build our ... Develop and deploy advanced vision systems and machine learning models to enhance visual inspection ...

Showing results 41-60

Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Minnesota look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Minnesota are:
Infographic showing various Privacy Preserving Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 33% Full Time, 65% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Vice President Product, Clinical Analytics & Insights

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Medical, Retirement

Posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers


Job description

OptumInsightis improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, andultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,qualityand revenue growth. Ready to help us deliver results that improve lives?Join us to startCaring. Connecting. Growing together.  

The Vice President, Clinical Insights & Analytics Product is a senior leader within the Optum Insight Product organization responsible for defining and building a next generation product portfolio. This role sits at the intersection of clinical data, advanced analytics, and product commercialization, transforming Optum's differentiated data assets into market-leading solutions that improve outcomes, enable decision-making, and drive growth.

This leader will transform clinical data, analytics and decision intelligence into commercialized products embedding actionable insights into provider and payer workflows and supporting Optum Insight's broader strategy in AI-enabled, insight-driven care delivery.

You'llenjoy 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:

  • Identify, validate, and scale commercial opportunities utilizing diverse clinical datasets, including EHR, claims, and clinical notes, to solve complex healthcare ecosystem challenges 
  • Lead the design, prioritization, and deployment of products that embed advanced insights and decision-support engines directly into clinical workflows and clinician decision-making systems, in partnership with engineering, clinical, data science, and go-to-market teams
  • Lead development and deployment for AI-powered LLM solutions that transform clinical, provider, and consumer data into actionable insights, enabling improved care pathways, quality outcomes, and personalized wellness while driving measurable impact on utilization, cost, and health outcomes
  • Own Optum Insight clinical data across the businesses
  • Partner cross-functionally with Product Management, Engineering, Sales, Clinical, Data Science, Operations, and Compliance leaders to translate analytical capabilities into scalable, market-relevant product features and client-facing solutions
  • Apply AI, machine learning, and advanced analytics to solve problems, unlock commercial opportunities, and deliver measurable business, clinical, and customer value
  • Integrate enterprise-approved AI tools and advanced technical capabilities into product development pipelines, setting goals to accelerate adoption and remove barriers to innovation
  • Champion responsible use of AI and clinical modeling within the product portfolio by embedding transparency, fairness, clinical validation, and accountability throughout the product development lifecycle
  • Establish robust clinical validation and data governance frameworks to ensure alignment with clinical safety, quality, privacy, and regulatory expectations
  • Serve as key advisor to leadership on clinical data and insights strategy
  • Monitor competitive landscape and emerging trends to inform product strategy

You'llbe 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 asprovidedevelopment for other roles you may be interested in.


 

Required Qualifications:

  • 10 years of experience in healthcare product management, clinical analytics, healthcare data science, or technical data product leadership
  • 5 years of experience leading teams and influencing cross-functional partners across product, engineering, clinical, analytics, commercial, and operational functions
  • Proven track record commercializing clinical data assets, including launching or scaling data products, clinical APIs, workflow-integrated analytics, or decision-support capabilities
  • Demonstrated experience integrating clinical analytics, predictive models, or decision support tools into EHR workflows (e.g., Epic, Cerner) using industry standards 
  • Demonstrated experience deploying advanced analytics, machine learning, or AI models in a production healthcare product environment
  • Bachelor's degree or equivalent experience in healthcare analytics, data product commercialization, health informatics, product management, or a related field
     

Preferred Qualifications:

  • Master's degree, PhD, or MD in Health Informatics, Data Science, Computer Science, Public Health, or a related clinical or quantitative field
  • Deep understanding of clinical data architectures, healthcare terminologies, and data privacy regulations
  • Proven success in high-growth, matrixed corporate environments, with exceptional executive stakeholder communication and change-management skills
  • Experience applying AI strategy, adoption practices, and responsible AI governance within healthcare product development or analytics-enabled product portfolios
  • Knowledge of healthcare reimbursement models, value-based care, and payer/provider business workflows
     

*All employees working remotely will berequiredto 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 $200,400 to $343,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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,locationand 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 marginalizedgroupsand those with lower incomes. We are committed to mitigating our impact on the environment and enabling and deliveringequitablecare that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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 adrug -free workplace. Candidatesare required topass a drug test before beginning employment. 


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