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Ai For Science Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the ... Work closely with product managers, data scientists, and platform teams to translate business needs ...

US Bank

Head of AI Platform Engineering

Minneapolis, MN · On-site

$187K - $242K/yr

... for enhanced efficiency and innovation. It will also modernize the organization's technology ... Build and lead multidisciplinary AI teams (data scientists, engineers, architecture) * Foster a ...

micro1 AI

Bioinformatics Software Engineer

Minneapolis, MN · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Bioinformatics Software Engineer

Saint Paul, MN · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Bioinformatics Software Engineer

Rochester, MN · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

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Ai For Science information

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

Which AI for science is best?

The best AI tools for science depend on the specific application, such as data analysis, modeling, or simulation. Popular options include TensorFlow, PyTorch, and specialized platforms like DeepMind or IBM Watson, which are used by researchers to develop and deploy AI models in scientific research. Proficiency in programming languages like Python and understanding of machine learning concepts are essential for roles in AI for science.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Minnesota? For Ai For Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai For Science jobs in Minnesota look for? The top searched job categories for Ai For Science jobs in Minnesota are:
Ai For Science jobs near you
Infographic showing various Ai For Science job openings in Minnesota as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution.

AI Engineer - AI/ML

UnitedHealth Group

Minnetonka, MN • On-site

$116K - $140K/yr

Full-time

Retirement

Re-posted 25 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

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.
We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims adjudication through advanced Generative AI solutions. This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable, and responsible AI systems while collaborating across teams to deliver measurable impact.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and generative analytics across healthcare datasets
  • Implement advanced architectures including LLMs (GPT, Gemini, LLaMA), Retrieval-Augmented Generation (RAG), and Agentic Frameworks
  • Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain), PySpark, T-SQL and SQL
  • Develop and fine-tune multiple GenAI models for NLP, summarization, prompt engineering, and conversational AI
  • Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker, and CI/CD pipelines
  • Work with cloud platforms: Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable deployments
  • Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines.
  • Collaborate in an Agile environment, participate in sprint planning, and maintain code repositories using GitHub/Git
  • Ensure compliance with security and governance standards for healthcare data
  • Coach and mentor junior team members.
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Technical Skillset
AI/ML Foundations
  • Design and implement machine learning and deep learning models for classification, NLP tasks
  • Build and maintain end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment

Generative AI & LLM Engineering
  • Develop and fine-tune LLM-based applications using LangChain, LangGraph, and other GenAI frameworks
  • Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
  • Leverage AWS Bedrock and Google Vertex AI for scalable and production-grade GenAI deployments

LLM Security & Responsible AI
  • Implement guardrails to prevent prompt injections, reduce hallucinations, and ensure safe model outputs
  • Apply best practices for LLM security, including output moderation, access control, and auditability
  • Ensure compliance with Responsible AI principles-fairness, transparency, and explainability

Cloud-Native AI Development
  • Deploy and manage GenAI solutions on AWS and Google Suite, utilizing services like Bedrock, SageMaker, Vertex AI
  • Integrate LLMs with enterprise systems using REST APIs, SDKs, and orchestration tools

Collaboration & Mentorship
  • Work closely with product managers, data scientists, and platform teams to translate business needs into GenAI solutions
  • Mentor junior engineers and contribute to internal knowledge-sharing initiatives

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in CS or IT related field
  • 5+ years of hands-on experience in AI/ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI
  • 5+ years of experience and strong expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
  • 2+ years of experience in statistics, data modeling, and simulation
  • 1+ years of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
  • 1+ years of experience with any one of the cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, GCP, and cloud-native AI services
  • 1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools
  • 1+ years of experience with LLM security, prompt engineering, and responsible AI practices

Preferred Qualifications:
  • Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning
  • Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
  • Strong understanding of Agile methodologies and DevOps practices
  • Internal Data management and big data handling experience
  • Excellent problem-solving skills and ability to handle ambiguity

*All Telecommuters 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 $98,500 - $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
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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