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Remote Bioinformatics Machine Learning Jobs in Colorado

Crocs

Senior Manager Analytics & AI

Broomfield, CO · On-site +1

... remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market. What You'll Do * Build and scale enterprise AI and machine learning ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167.50K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

CUJO AI

Director Platform Product Owner

Denver, CO · On-site +1

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

Relativity

Principal Applied Scientist

Denver, CO · 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 ...

Wsgr

Innovations and AI Solutions Engineer

Boulder, CO · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Alignerr

Business Performance Analyst

Denver, CO · Remote

No prior AI or machine learning experience required Requirements * Bachelor's degree in Business ... Fully remote and flexible - structure your work around your life * Freelance autonomy with the ...

Eliassen Group

Python MLOps Engineer

Almont, CO · On-site +1

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for ... Exposure to data science or machine learning applications. * Experience with MLOps or model ...

USAA

Data Scientist I

Colorado Springs, CO · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

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Remote Bioinformatics Machine Learning information

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 are the most commonly searched types of Bioinformatics Machine Learning jobs in Colorado? The most popular types of Bioinformatics Machine Learning jobs in Colorado are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Colorado? For Remote Bioinformatics Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Colorado look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Colorado with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Senior Manager Analytics & AI

Senior Manager Analytics & AI

Crocs

Broomfield, CO • On-site, Remote

Other

Posted 11 days ago

Crocs rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

25th of 102 rated fashion retailers

Job description

Overview

Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the evolution from reporting and dashboards to predictive, prescriptive, and AIassisted decisionmaking embedded into daytoday operations. This leader will own the endtoend Data science & AI portfolio for Supply Chain, translating business priorities into a structured pipeline of AI use cases, guiding those ideas from concept through deployment, and ensuring solutions deliver measurable operational impact. The role requires a strong combination of handson data science expertise, platform and product thinking, and enterprise leadership. The ideal candidate can move seamlessly between strategy and execution while building scalable, governed AI capability.

This position aligns to our Explorer Persona, designed for leaders who thrive in a flexible, remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market.
What You'll Do
  • Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor.
  • Translate business problems into welldefined AI use cases, with clear success metrics and operational outcomes.
  • Define and operationalize standard frameworks for AI usecase intake, prioritization, development, deployment, and lifecycle management.
  • Lead the endtoend delivery of MLdriven solutions, from problem framing and model development through production deployment and adoption tracking.
  • Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and longterm capability goals.
  • Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models.
  • Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner.
  • Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and longterm scalability.
  • Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery.
  • Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization.
  • Communicate progress, risks, and outcomes to senior stakeholders using clear, businessfocused language.
What You'll Bring to the Table

Required

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Supply Chain, or a related field.
  • 8+ years of experience in data science, machine learning, or advanced analytics roles.
  • Proven experience deploying machine learning solutions in production environments, not just proofs of concept.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience working with largescale data, modern ML frameworks, and enterprise analytics platforms.
  • Demonstrated application of analytics in supply chain, logistics, operations, or planning domains.
  • Strong understanding of the AI/ML lifecycle, including deployment, monitoring, governance, and ongoing optimization.
  • Ability to translate complex technical concepts into clear business outcomes and influence crossfunctional stakeholders.
  • Experience leading complex initiatives in a global, matrixed enterprise environment.

Nice to Have

  • Experience with the Microsoft AI ecosystem, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Exposure to Generative AI, including LLMbased solutions, prompt design, or AIassisted workflows.
  • Familiarity with AI orchestration, agentbased systems, or humanintheloop automation.
  • Experience working with external AI vendors or SaaS AI platforms.
  • Knowledge of supply chain systems such as WMS, TMS, ERP, or planning tools.
  • Background in retail, manufacturing, or logisticsdriven environments.

The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.

Job Category: Corporate

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