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Machine Learning Biology Jobs in Colorado (NOW HIRING)

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

... biology. You will be the primary point of contact for technical support, ensuring our customers can ... CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions ...

Cymertek

HPC Software Architect

Aurora, CO · On-site

... Architect, Machine Learning Architect for HPC, Computational Framework Architect, Advanced ... Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial ...

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

... biology. You will be the primary point of contact for technical support, ensuring our customers can ... CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions ...

University of Colorado

Histotechnologist

Aurora, CO · On-site

A bachelor's degree in biological health or social science or a directly related field from an ... Willing and capable of learning new techniques relating to histology and molecular pathology.

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All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Colorado

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 Jul 13, 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 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.

Is ML a high paying job?

Machine Learning Biology roles are generally well-paid due to the specialized skills required, such as expertise in data analysis, programming, and biological sciences. Salaries vary based on experience, location, and industry, but they tend to be higher than average for many entry-level positions in related fields.

What is a Machine Learning Biology job?

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.

Is AI taking over biology jobs?

Machine Learning Biology professionals use AI and data analysis to advance biological research, but AI is generally a tool that complements rather than replaces human expertise. Many roles require domain knowledge, critical thinking, and interpretation skills that AI cannot fully replicate, so AI is more of an aid than a threat to biology jobs.

What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?

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 is machine learning in biology?

Machine learning in biology involves using algorithms and statistical models to analyze biological data, such as genetic sequences or imaging, to identify patterns and make predictions. Professionals in this field often work with large datasets and tools like Python or R to develop models that can assist in tasks like disease diagnosis, drug discovery, and understanding biological processes.

What biology jobs pay over $100k?

In the field of machine learning biology, roles such as bioinformatics director, computational biologist, and data science lead often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience with tools like Python, R, and machine learning frameworks. These positions typically require a strong background in biology and data science, along with relevant advanced degrees and experience in research or industry settings.
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:
What job categories do people searching Machine Learning Biology jobs in Colorado look for? The top searched job categories for Machine Learning Biology jobs in Colorado are:
Machine Learning Biology jobs near you
NIST PREP Postdoctoral Research Associate for Analysis of Real-World Mid-Band Aggregate Cellular Net

NIST PREP Postdoctoral Research Associate for Analysis of Real-World Mid-Band Aggregate Cellular Net

Southeastern Universities Research Association

Boulder, CO • On-site

$82K - $110K/yr

Full-time

Re-posted 23 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Analysis of Real-World Mid-Band Aggregate Cellular Network Emissions
The work will entail:Conduct applied research implementing and developing data analysis methods for large, high-quality datasets of mid-band (3 GHz - 4 GHz) radio frequency (RF) spectrum measurements of deployed 4G and 5G cellular networks. New data analysis methods and insights resulting from this position will help improve models for aggregate RF emissions, interference assessments, and deployments of cellular networks. Position will require in-person work at NIST in Boulder, Colorado.
Key responsibilities will include but are not limited to:
  • Implement advanced data analysis and data visualization methods in python.
  • Work with NIST research scientists to extract meaningful insights from data.
  • Research into novel data analysis methods.
  • Prepare software and data for publication.
  • Prepare manuscripts suitable for peer-reviewed publication.
  • Present findings at academic conferences and stakeholder meetings.

Qualifications
  • U.S. Citizenship
  • PhD in Electrical Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, Physics, or closely related field received within the last 5 years.
  • Excellent programming skills in python, including familiarity with the Pandas and NumPy libraries.
  • Ability to work effectively in a collaborative research environment.
  • Ability to generate independent research ideas.
  • Strong oral and written communication skills.
  • Preferred: Experience with application of advanced data analysis or machine learning methods to large datasets.
  • Preferred: Strong background in statistics.
  • Preferred: Strong background in signal processing.
  • Preferred: Strong background in machine learning.
  • Preferred: Familiarity with fundamentals of wireless communication systems.
  • Preferred: Basic understanding of electromagnetic propagation and radio frequency engineering.
  • Preferred: Track record of successful peer-reviewed publications.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003772

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