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Remote Bioinformatics Machine Learning Jobs in Maple Grove, MN

Genesis10

Lead AI Engineer - Remote

Minnetonka, MN · Remote

$145K - $150K/yr

Genesis10 is currently seeking a Lead AI Engineer for a remote position with a Leading Risk ... D. in Computer Science, Engineering, Machine Learning, Data Science, or a related quantitative ...

Maximus

AI/ML Software Developer

Minneapolis, MN · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Relativity

Principal Applied Scientist

Minneapolis, MN · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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Remote Bioinformatics Machine Learning information

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$60.9K

$96.7K

$153.1K

How much do remote bioinformatics machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote bioinformatics machine learning in Maple Grove, MN is $96,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $132,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What job categories do people searching Remote Bioinformatics Machine Learning jobs in Maple Grove, MN look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Maple Grove, MN are:
Remote Bioinformatics Machine Learning jobs near you
Lead AI Engineer - Remote

Lead AI Engineer - Remote

Genesis10

Minnetonka, MN • Remote

$145K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Genesis10 is currently seeking a Lead AI Engineer for a remote position with a Leading Risk Intelligence Firm. This is a direct hire opportunity requiring work during East Coast (EST) business hours.
Pay range: $145,000 - $150,000 annually
As a Lead AI Engineer on the AI Pipeline team, you will architect and build scalable AI systems that identify and alert customers to emerging risks in real time. This role is heavily focused on GenAI infrastructure, LLM-powered backend services, and distributed AI pipeline design rather than traditional analytics or reporting-focused data science.
You will lead the design and deployment of production-grade AI platforms that combine structured and unstructured data, retrieval systems, orchestration frameworks, and large language models to deliver reliable, secure, and high-impact intelligence solutions. You will also provide technical leadership across AI engineering initiatives, helping define system architecture, engineering standards, and long-term platform strategy in a fast-paced, mission-critical environment.
Responsibilities
  • Architect and build scalable AI/LLM backend systems and data pipelines for risk detection and intelligence generation
  • Lead production deployment and lifecycle management of LLM applications across AWS Bedrock, OpenAI, and related AI platforms
  • Design resilient, observable, and cost-efficient GenAI systems, including orchestration, inference routing, caching, monitoring, and evaluation frameworks
  • Develop and maintain RAG pipelines, vector search infrastructure, prompt orchestration, and agent-based workflows
  • Drive system design decisions for distributed AI services, real-time processing, and high-throughput data pipelines
  • Perform hands-on engineering and coding across Python-based AI services and platform components
  • Establish best practices for AI engineering, MLOps, testing, deployment, monitoring, and model governance
  • Lead and mentor engineers and data scientists through technical guidance, code reviews, and architecture reviews
  • Collaborate with product, engineering, and leadership teams to translate business requirements into scalable AI solutions
  • Define technical roadmaps and platform strategy for GenAI and AI infrastructure initiatives
  • Integrate AI systems securely into enterprise workflows while ensuring reliability, privacy, and compliance
  • Evaluate emerging AI technologies, frameworks, and tooling to continuously improve platform capabilities
  • Present technical concepts and architectural decisions to both technical and non-technical stakeholders

Requirements
  • Master's or Ph.D. in Computer Science, Engineering, Machine Learning, Data Science, or a related quantitative field Save Cancel
  • 8+ years of experience building production-grade machine learning, AI, or distributed backend systems
  • Strong experience designing scalable AI platforms and LLM-powered applications in production environments
  • Deep expertise with GenAI systems, including LLM orchestration, prompt engineering, RAG architectures, evaluation frameworks, and inference optimization
  • Strong system design and software engineering background with experience building resilient distributed systems and APIs
  • Proficiency in Python and SQL, with experience handling large-scale and real-time data processing workloads
  • Hands-on experience deploying and operating LLMs using AWS Bedrock, OpenAI APIs, and cloud-native AI tooling
  • Strong understanding of MLOps and AI platform engineering, including CI/CD, observability, model monitoring, and infrastructure automation
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Familiarity with workflow orchestration and pipeline frameworks such as Airflow or similar technologies
  • Proven ability to lead technical initiatives and mentor cross-functional teams
  • Strong problem-solving, communication, and architectural decision-making skills
  • Commitment to secure, ethical, and compliant AI development practices
Desired Skills
  • Experience building advanced NLP and text intelligence systems, including entity extraction, event detection, summarization, and multilingual processing
  • Expertise in vector databases, semantic search, information retrieval, and knowledge-enhanced AI systems
  • Familiarity with knowledge graphs, entity resolution, and relationship modeling for intelligence applications
  • Experience designing AI agent frameworks and multi-step orchestration systems
  • Strong understanding of performance optimization, scalability, and cost management for large-scale LLM deployments
  • Experience with streaming architectures, event-driven systems, and real-time AI processing pipelines
  • Proven leadership experience driving architecture and platform strategy in fast-paced engineering organizations

If you have the described qualifications and are interested in this exciting opportunity, please apply!
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999

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