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Bioinformatics Scientist Jobs in Colorado (NOW HIRING)

D. in biological, chemical or computer sciences, with significant experience in mass spectrometry-based proteomics, bioinformatics, and wish to expand their training in multiple disciplines. Key ...

Staff Scientist

Boulder, CO · On-site

$120K - $140K/yr

Experience developing bioinformatics workflows for NGS assays for non-technical users Travel, Motor ... Ability to travel to other IDT sites or scientific conferences ( It would be a plus if you also ...

Staff Scientist

Boulder, CO · On-site

$120K - $140K/yr

Experience developing bioinformatics workflows for NGS assays for non-technical users Travel, Motor ... Ability to travel to other IDT sites or scientific conferences ( It would be a plus if you also ...

We sit at the intersection of molecular biology, bioinformatics, and next-generation sequencing (NGS), and we translate rigorous science into clinically meaningful solutions. Following our ...

We sit at the intersection of molecular biology, bioinformatics, and next-generation sequencing (NGS), and we translate rigorous science into clinically meaningful solutions. Following our ...

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Bioinformatics Scientist information

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$39

$57

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How much do bioinformatics scientist jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for bioinformatics scientist in Colorado is $57.61, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.72 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What are the key skills and qualifications needed to thrive as a bioinformatics scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is bioinformatics well paying?

Bioinformatics scientists typically earn competitive salaries due to their specialized skills in computational biology, data analysis, and programming. Salaries vary by experience, location, and industry, but the field generally offers above-average compensation compared to many other scientific roles.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What are the most commonly searched types of Bioinformatics Scientist jobs in Colorado?

The most popular types of Bioinformatics Scientist jobs in Colorado are:

What job categories do people searching Bioinformatics Scientist jobs in Colorado look for?

The top searched job categories for Bioinformatics Scientist jobs in Colorado are:

What cities in Colorado are hiring for Bioinformatics Scientist jobs?

Cities in Colorado with the most Bioinformatics Scientist job openings:

Infographic showing various Bioinformatics Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,837 per year, or $57.6 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

151st of 629 rated colleges and universities


Job description

University of Colorado Anschutz
Department: SOM, Biochemistry & Molecular Genetics (Mass Spectrometry Proteomics Facility)Job Title: Research Scientist  Position #00807652: - Requisition #:40520

Job Summary:

A Research Scientist position is available in the School of Medicine Mass Spectrometry Proteomics Facility at the University of Colorado Anschutz Medical Campus.

We are seeking a highly motivated individual to help solve challenging biomedical problems using state-of-the-art mass spectrometry techniques. Prospective candidates will join a productive team leveraging advanced bioanalytical methods to address complex questions in health and disease. Candidates must be self-motivated, detail oriented, have a strong aptitude for learning new areas of research, and be adept at managing multiple projects in parallel.

The Research Scientist will have the opportunity to interact with a variety of researchers, both locally and nationally, and will support proteomics and informatics analysis for several funded projects aimed at improving patient outcomes. Ideal candidates have a Ph.D. in biological, chemical or computer sciences, with significant experience in mass spectrometry-based proteomics, bioinformatics, and wish to expand their training in multiple disciplines.

Key Responsibilities:

         Prepare complex biological samples (tissues, plasma, cell cultures) and execute proteomics workflows spanning global proteomics, phosphoproteomics, ECM proteomics, targeted proteomics, and more.

         Acquire, process, and analyze mass spectrometry datasets using established and emerging bioinformatics pipelines, including statistical evaluation and validation of results.

         Assist in the development and optimization of analytical and sample preparation methodologies to advance facility capabilities.

         Maintain and perform routine upkeep of mass spectrometry instrumentation and associated laboratory equipment, including reagent and buffer preparation.

         Generate detailed reports and maintain comprehensive laboratory records, including experimental metadata and data management documentation.

         Collaborate regularly with faculty, students, clinicians, and external investigators to discuss experimental design, data interpretation, and study outcomes.

         Contribute to the preparation of manuscripts, presentations, and technical reports, and assist with laboratory operations including protocol development, supply management, and data storage systems.

Work Location:

Onsite - this role is expected to work onsite and is located in Aurora, CO.

Why Join Us:

Our department conducts research across a wide biological scale for fundamental scientific understanding with applications to many disease contexts. The overarching goal is to reach a level of molecular insight that helps develop therapeutic approaches to disease.

As biochemists and molecular geneticists, we are amid an unprecedented time of discovery - our conception of the molecular biology of cells is going from the equivalent of grainy black-and-white to high-resolution technicolor. From deciphering the choreography of transcription complexes, chromosomes, and RNA molecules within cells to developing novel approaches to 3D molecular structure determination to understanding how viruses hijack a cell's machinery and alter its metabolome, the researchers in Biochemistry and Molecular Genetics (BMG) are at the forefronts of their fields both conceptually and technologically.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

  • Medical: Multiple plan options
  • Dental: Multiple plan options
  • Additional Insurance: Disability, Life, Vision
  • Retirement 401(a) Plan: Employer contributes 10% of your gross pay
  • Paid Time Off: Accruals over the year (based on percentage of time)
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 11/year
  • Tuition Benefit: Employees have access to this benefit on all CU campuses
  • ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

        Master's degree in biology, molecular biology, chemistry, genetics or related field

        Prior experience or background within an experimental or wet lab

        Prior experience in mass spectrometry-based proteomics

        Two (2) or more years' experience preparing samples for LC-MS analysis.

        Two (2) or more years' experience with bench science and analytical instrumentation.

        Experience with bioinformatics

Preferred Qualifications:

        PhD degree in biological sciences, computational disciplines, or a related field within the last three years.

        Record of productivity supported by peer-reviewed publications in internationally recognized journals

        Experience with Thermo and Bruker LC-MS platforms

        Experience with FragPipe, PEAKS, Proteome Discoverer, Spectronaut and DIA-NN

Knowledge, Skills and Abilities:

        Strong foundation in mass spectrometry-based proteomics, including data acquisition strategies such as DDA and DIA, protein identification, and quantitative workflows across diverse sample types including tissues, plasma, and cell cultures

        Familiarity with a broad range of proteomics technologies and applications, including PTM mapping, phosphoproteomics, stable isotope tracing, targeted MS-based quantitative methods, cross-linking mass spectrometry, and redox or quantitative proteomics

        Experience with bioinformatics tools commonly used in the field, such as FragPipe, PEAKS, Proteome Discoverer, Spectronaut, and/or DIA-NN, and with applying statistical and multivariate analysis methods to large-scale proteomics datasets; programming proficiency in R, Python, or C is a plus

        Skilled in sample preparation for LC-MS analysis across a variety of proteomics workflows and experienced in operating and maintaining analytical instrumentation, ideally including Thermo and/or Bruker LC-MS platforms

        Experience with proteomic data analysis and data mining, figure generation, and contributing to manuscript and report preparation, including the ability to develop, optimize, and document analytical methods and standard operating procedures

        Ability to manage multiple projects simultaneously with strong attention to detail and organization, working effectively both independently and as part of a collaborative team

        Strong written and oral communication skills, with the ability to engage regularly with faculty, students, clinicians, and external research partners, and the adaptability to learn new techniques and research areas as the needs of the facility evolve

How to Apply:

For full consideration, please submit the following document(s):

1.    A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2.    Curriculum vitae / Resume

3.    Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Anthony Saviola, Anthony.Saviola@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until position is filled. For best consideration, apply by August 31, 2026.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as:

$70,000 to $85,000 

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.


 


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