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Biology Data Science Jobs in Colorado (NOW HIRING)

Pharma Cell Biologist

Louisville, CO · On-site

$95K - $105K/yr

... data interpretation, troubleshooting. * Preparing technical reports and scientific presentations. * Collaborating with cross-functional teams including structural biology, molecular biology ...

Pharma Cell Biologist

Louisville, CO · On-site

$90 - $120/hr

... data interpretation, troubleshooting. * Preparing technical reports and scientific presentations. * Collaborating with cross-functional teams including structural biology, molecular biology ...

... data interpretation, troubleshooting. * Preparing technical reports and scientific presentations. * Collaborating with cross-functional teams including structural biology, molecular biology ...

... data interpretation, troubleshooting. * Preparing technical reports and scientific presentations. * Collaborating with cross-functional teams including structural biology, molecular biology ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

... science into real therapies for patients. At the GBF, your work directly supports the development and manufacture of novel biologics and cell therapies advancing into early-phase clinical trials ...

Data Analyst

Boulder, CO · On-site

$100 - $150/hr

... company that uses synthetic biology to separate critical minerals from conventional and ... Role Summary We are seeking a Data Analyst with experience handling diverse scientific datasets.

D. in biological, chemical or computer sciences, with significant experience in mass spectrometry ... data interpretation, and study outcomes. • Contribute to the preparation of manuscripts ...

Showing results 41-60

Biology Data Science information

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 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 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.

Can I get into biology data science with a biology degree?

Biology data science roles often accept candidates with a biology degree, especially if they have skills in programming, statistics, and data analysis tools like Python or R. Gaining experience through coursework, projects, or certifications in data science can improve employability in this field.

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, often collaborating with biologists and researchers.

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 cities in Colorado are hiring for Biology Data Science jobs?

Cities in Colorado with the most Biology Data Science job openings:

Infographic showing various Biology Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Pharma Cell Biologist

Cogent Scientific

Louisville, CO • On-site

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Cogent Scientific, an insourced contract research organization, is looking for the right people to accomplish our Mission: to support the life sciences industry by cultivating and empowering exceptional scientists to deliver specialized laboratory services that advance research, foster collaboration, and accelerate innovation through quality and a shared commitment to excellence. We can offer you the chance to build on your skills and knowledge while working among experts in their fields and with cutting-edge instrumentation.
Cogent Scientific offers competitive pay, attractive benefits (such as medical/dental/vision insurance; 401(k); parental leave; PTO and paid holidays; etc.) and an exciting work environment. This position may include relocation benefits as well. We aim to recruit the best people who stand out among their peers and embody our Core Values:
  • Client Focused: We only succeed when our clients succeed.
  • Outstanding: We deliver meticulous results through outstanding performance.
  • Good: We act ethically and morally.
  • Employee-Centric: We honor and support our employees.
  • Nimble: We are prepared to adapt in an ever-changing industry.
  • Team-Oriented: We collaborate with each other and with our clients.

We currently have a role available for a Pharma Cell Biologist.
Job duties include, but are not limited to, the following:
  • Engineering and characterizing cell lines (e.g., CRISPR, overexpression using chemical or virus delivery systems) as well as maintaining and culturing various cell lines.
  • Designing and executing experiments that integrate biochemical and cell-based approaches.
  • Applying biochemical and molecular biology assays (e.g., binding assays, protein-protein interaction studies, RT-q-PCR, pulldown, western blotting) to support target validation and mechanistic studies.
  • Contributing to experimental design/execution, data interpretation, troubleshooting.
  • Preparing technical reports and scientific presentations.
  • Collaborating with cross-functional teams including structural biology, molecular biology, biochemistry, and biophysics.

Job requirements include, but are not limited to:
  • Ph.D. in Cell Biology, Biochemistry, molecular biology or a related field, with 1-3 years of relevant postdoctoral or industry experience.
  • Strong hands-on experience with mammalian cell culture, cell-based assays and biochemistry/molecular biology assays, such as ligand binding assays and ELISA.
  • Attention to detail and excellent problem-solving skills.
  • Proficiency in data analysis software (such as GraphPad Prism, ImageJ).
  • Excellent communication skills - verbal and written.
  • Works well both as a team and as an individual.
  • Demonstration of excellent team player skills, very strong attention to detail, very strong problem-solving skills, a high level of learning agility, and the ability to work across functions. The ideal candidate will be enthusiastic and self-motivated, with the leadership and communication skills necessary to operate effectively in a fast-paced multidisciplinary environment with flexibility and an adaptable approach to goal delivery.

This is a day shift position (approx. 8a-5p local time).
Cogent Scientific provides equal employment opportunities to all applicants and does not discriminate based on any legally protected characteristic.
Additionally, if you require a reasonable accommodation during the application or interview process, please let us know.
This job posting will remain open until 9/14/2026 or until a qualified candidate has been selected, whichever comes first.