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Remote Data Science Neuroscience Jobs in Minnesota

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$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

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Remote Data Science Neuroscience information

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.

What are the key skills and qualifications needed to thrive as a remote data science neuroscience professional?

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.

What are the most commonly searched types of Data Science Neuroscience jobs in Minnesota?

The most popular types of Data Science Neuroscience jobs in Minnesota are:

What are popular job titles related to Remote Data Science Neuroscience jobs in Minnesota?

For Remote Data Science Neuroscience jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Neuroscience jobs in Minnesota look for?

The top searched job categories for Remote Data Science Neuroscience jobs in Minnesota are:

Remote Data Science Neuroscience jobs near you

Lead AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$145K - $249K/yr

Full-time

Retirement

Re-posted 18 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

193rd of 898 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.
As a Lead AI/ML Engineer on the Optum Rx technology team in Eden Prairie, MN, you will lead the architectural design, development, and enterprise deployment of advanced machine learning models and AI-driven solutions that transform pharmacy benefit management, medication access, and prescription fulfillment operations. In this role, you will collaborate closely with data science, software engineering, and business leaders to solve complex health technology problems, automate key workflows, and scale robust, secure AI solutions across our digital pharmacy platforms.
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, develop, and deploy scalable, production-grade AI-powered solutions and machine learning architectures to address complex business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
  • Leverage enterprise-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and drive continuous operational improvement
  • Evaluate emerging technology trends, Generative AI models, and machine learning techniques to inform solution design, platform architecture, and strategic enterprise innovation
  • Lead the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and real-time model monitoring
  • Partner with cross-functional teams, data scientists, and business leaders to translate healthcare requirements into reliable, high-performance AI services and microservices
  • Provide technical leadership, architectural guidance, and code reviews, establishing best practices and mentoring engineering team members

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:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, OR 4+ years of equivalent software engineering experience
  • 5+ years of software engineering experience with a strong focus on building, scaling, and deploying machine learning models and AI systems
  • 3+ years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
  • 3+ years of experience programming in Python and utilizing core ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • 2+ years of hands-on experience with cloud platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., Docker, Kubernetes)
  • 2+ years of experience with big data technology stacks (e.g., Spark) and database systems (SQL/NoSQL)

Preferred Qualifications:
  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field
  • Experience building and deploying Generative AI applications, Large Language Models (LLMs), and retrieval-augmented generation (RAG) patterns in cloud environments
  • Experience working with pharmacy benefit management (PBM) data, clinical workflows, healthcare transaction systems, or HIPAA compliance standards
  • Solid knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform) and continuous integration/continuous deployment (CI/CD) practices
  • Proven leadership experience guiding cross-functional technical projects and mentoring mid-level engineers

*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 $145,500 - $249,500 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.
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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