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Machine Learning Biology Jobs in Colorado (NOW HIRING)

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Showing results 41-60

Machine Learning Biology information

See Colorado salary details

$24.2K

$54.9K

$78.3K

How much do machine learning biology jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning biology in Colorado is $54,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $63,600.00 per year, depending on experience, location, and employer.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are popular job titles related to Machine Learning Biology jobs in Colorado?

For Machine Learning Biology jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Machine Learning Biology job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $54,878 per year, or $26.4 per hour.

General Laboratory Supervisor

Aurora, CO • On-site

American Society for Clinical Laboratory Science
Non-Profits • 1 - 10 employees

Other

Posted 27 days ago


Job description

Job title: General Laboratory Supervisor

Reports to: Operations Laboratory Director

FLSA Status: Full time, Exempt

Location: Aurora, CO, USA

ABOUT OXFORD CANCER ANALYTICS

Oxford Cancer Analytics (OXcan) is an emerging diagnostics company that leverages advanced proteomics and machine learning to create innovative tests for earlier and more accurate assessment of lung diseases. Founded in Oxford, OXcan partners with leading research and clinical institutions to accelerate the translation of laboratory breakthroughs into improved patient care.

JOB OVERVIEW

General Laboratory Supervisor is responsible for managing day‑to‑day high complexity testing operations, ensuring regulatory compliance to CLIA, staff competency, and accurate result reporting.

The key duties of the general laboratory supervisor include but are not limited to monitoring quality control, training of personnel, performing competency assessments, and providing technical support to technical staff.

General laboratory supervisor may participate in the execution of technical operations when trained on process/methods.

General laboratory supervisor is required to be accessible during testing hours and maintain and ensure strict conformance to quality standards is being implemented and followed.

PRIMARY DUTIES AND RESPONSIBILITIES

Primary duties and responsibilities of the general laboratory supervisor include but are not limited to:

  • Regulatory compliance: maintaining and ensuring adherence to CLIA requirements, internal quality management systems and any accreditation body requirements.
  • Personnel Management: develop and be responsible for personnel training programs/plans, execute required training for personnel, basic supervision of personnel on day‑to‑day basis.
  • Operational Oversight: manage daily laboratory workflows based on volume of samples and personnel availability including sample accessioning and inspection, sample processing, quality control metrics, and meeting business and quality metrics such as turn‑around time, number of deviations etc.
  • Quality Assurance: participate in the initiation, investigate, root cause analysis, correction and tracking and trending of non‑conforming products; identify and implement quality metrics required around non‑conforming product trends. Participate in initiation, investigation, corrections related to planned and un‑planned deviations, CAPA’s, and recalls. Compile data when required for the support and presentation of metrics at Management Review.
  • Technical Support: act as a liaison for the laboratory director, providing on‑site, phone and or electronic support during testing.
  • Delegated responsibilities: Laboratory Director or technical supervisor may delegate the following responsibilities in addition to your primary duties:
    • Assuring all remedial actions are taken whenever test systems deviate from the laboratory’s established performance specifications;
    • Reviewing and ensuring patient test results are not reported until all corrective actions have been taken and the test system is properly functioning;
    • Providing orientation to all testing personnel;
    • Evaluation and documentation of personnel competency testing.
QUALIFICATIONS

Qualifications for General Laboratory Supervisor include:

Education: One of the following must be met:

  • Doctoral, Master’s, or Bachelor’s degree in chemical, biological, clinical or medical laboratory science, or medical technology from an accredited institution; AND with at least 2 years of clinical laboratory training or experience in a high complexity testing environment;

OR

  • Associates degree in chemical, biological, clinical or medical laboratory science, or medical technology from an accredited institution, chemical, biological or clinical laboratory science; AND includes at least 60 semester hours, or equivalent, from an accredited institution that at a minimum, includes either (1) 24 semester hours of medical laboratory technology courses; or (2) 24 semester hours of science courses that include 6 semester hours of chemistry, 6 semester hours of biology and 12 semester hours of chemistry, biology, or medical laboratory technology in any combination; AND with at least 2 years of clinical laboratory training or experience in a high complexity testing environment;

OR

  • Grandfather Provision where individual were qualified and serving as a general supervisor in a CLIA‑certified laboratory as of December 28, 2024, and have done so continuously to remain qualified.

Experience: 1-3 years of experience in a high‑complexity laboratory setting dependent on degree as defined above.

PERSONAL QUALIFICATIONS
  • Laboratory Information Management Systems (LIMS) expertise
  • Strong organizational and communication skills
  • Strong management skills
PHYSICAL DEMANDS
  • Mobility: Extensive periods of time spent standing and walking during daily operations; long durations of time may be spent at a computer.
  • Lifting and Handling: Lifting, pushing or pulling items which weigh between 20-50 pounds; stooping, bending, and reaching overhead at times and repetitively.
  • Dexterity and Sensory: High proficiency in using computer systems, laboratory instrumentation and equipment; strong visual acuity and auditory skills are required for monitoring safety and testing interruptions, notifications.
  • Environmental: potential to exposure to hazardous materials, including biological fluids, infectious disease, chemical fumes and oxygen deprivation.
POSITION DEMANDS
  • Technical Expertise: high technical expertise and knowledge of internal quality system requirements are required for the general laboratory supervisor
  • Accessibility: On‑site, phone and electronic accessibility is required for the general laboratory supervisor in order to ensure technical staff are supported with technical problems and issues.
  • Operational Oversight: strong skills are needed operationally to ensure day‑to‑day operations of the laboratory, prioritization and completion of tasks including maintenance of equipment, proficiency testing, management of staff and delegated duties. Clear communication is required for management of staff and presentation of laboratory metrics at management review meetings.

Salary Range: $ 85-105k depending on qualifications and experience

To apply, please submit your CV and cover letter to careers@oxcan.org and include the title of the position you are applying for in the subject line. Please note that only applications submitted via email will be considered.

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