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Biology Data Science Jobs in Colorado (NOW HIRING)

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

... biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

... biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... Biology, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

micro1 AI

Computational Biologist - AI Reviewer

Aurora, CO · On-site +1

$90 - $120/hr

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Computational Biologist - AI Reviewer

Pueblo, CO · On-site +1

$90 - $120/hr

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Computational Biologist - AI Reviewer

Arvada, CO · On-site +1

$90 - $120/hr

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Computational Biologist - AI Reviewer

Denver, CO · On-site +1

$90 - $120/hr

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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All JobsBiology Data Science JobsBiology Data Science Jobs in Colorado

Biology Data Science information

Can I get into data science with a biology degree?

Biology degrees can provide a strong foundation for data science roles, especially when combined with skills in programming, statistics, and data analysis tools like Python or R. Many data scientists have diverse academic backgrounds, and additional training or certifications in data science can improve job prospects.

What is a biology data science?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

What skills and qualifications are needed to thrive as a biology data science?

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

What are the day-to-day responsibilities of a biology data science?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

What do biology data scientists do?

Biology data scientists analyze biological data using statistical methods, machine learning, and programming tools like Python or R. They work on projects such as genomics, drug discovery, and ecological modeling to extract meaningful insights from complex datasets.
What are popular job titles related to Biology Data Science jobs in Colorado? For Biology Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Biology Data Science jobs in Colorado look for? The top searched job categories for Biology Data Science jobs in Colorado are:
What cities in Colorado are hiring for Biology Data Science jobs? Cities in Colorado with the most Biology Data Science job openings:
Biology Data Science jobs near you
Infographic showing various Biology Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Scientist 3

GRVTY

Colorado Springs, CO • On-site

Full-time

Re-posted 29 days ago

Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Active TS/SCI w/ poly
  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

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