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Evening Computer Science Bioinformatics Jobs in Colorado

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 ...

Lecturer

Denver, CO · On-site +1

$3.2K/wk

A Master of Science degree in computer science or a related field is required for teaching ... Occasional work during the evening may be required. Mental, Physical, and/or Environmental ...

Lecturer

Denver, CO · On-site

$3.2K/wk

... Computer Science and Engineering Department on a part-time semester-by-semester basis for AY26/27 ... evening may be required. Mental, Physical, and/or Environmental Requirements • This position may ...

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Evening Computer Science Bioinformatics information

What is an evening computer science bioinformatics job?

Evening Computer Science Bioinformatics jobs are positions that primarily take place during evening hours and focus on applying computational methods to analyze biological data. These roles may involve tasks such as writing code to process genetic information, developing algorithms for biological research, and supporting laboratories or research teams outside traditional business hours. Such jobs are ideal for individuals seeking flexible schedules, including students or professionals who prefer working later in the day. Common employers include research institutions, hospitals, and biotech companies with extended operational hours.

What are common challenges faced by professionals working evening shifts in computer science bioinformatics roles?

Professionals in evening computer science bioinformatics positions may encounter challenges such as coordinating with daytime teams, balancing work-life commitments, and managing access to resources that may be less available after hours. Communication with colleagues in different shifts often requires proactive planning to ensure seamless project handoffs and data sharing. However, the evening schedule can also offer a quieter environment for focused analysis and coding, which some professionals find conducive to productivity.

What are the key skills and qualifications needed to thrive as an evening computer science bioinformatics professional?

To excel as an Evening Computer Science Bioinformatics professional, you generally need a solid background in computer science, biology, and data analysis, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST and Bioconductor), and knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate analysis, meaningful insights, and seamless integration of computational solutions to biological research challenges.

What is the difference between Evening Computer Science Bioinformatics vs Evening Data Science?

AspectEvening Computer Science BioinformaticsEvening Data Science
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; certifications like Certified Bioinformatics ProfessionalBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsTech companies, finance, marketing, healthcare, consulting firms
Employer & Industry UsagePrimarily in biotech, healthcare, academiaAcross various industries including tech, finance, and retail

Evening Computer Science Bioinformatics focuses on analyzing biological data using computational methods, often in healthcare or research settings. Evening Data Science involves extracting insights from large datasets across multiple industries. While both roles require strong programming skills and statistical knowledge, their application areas and industry focus differ significantly.

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

The most popular types of Computer Science Bioinformatics jobs in Colorado are:

Research Services IT Principal Professional

The Chronicle Of Higher Education, Inc.

Aurora, CO • On-site

$70 - $90/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

University of Colorado Anschutz Medical Campus – Department of Obstetrics and Gynecology

Position #: 00846326 – Requisition #: 39407

Job Summary

We are seeking a qualified Bioinformatician to provide centralized computational support to a diverse group of researchers across our department. This individual will assist in software development and data analysis in a highly collaborative research environment focusing on women's health. The IT Professional will primarily work on building and maintaining workflows for the analysis of large-scale genomic datasets, data management, and machine learning methods application. The ideal candidate will be proficient in, or highly motivated to learn, biological data science, machine learning, and high-throughput sequencing analysis. The candidate should demonstrate the ability to work both independently and collaboratively, possess strong scientific communication skills, and show a clear commitment to reproducibility, replicability, and transparency in research. They should also have experience managing projects and provide examples of contributing to multiple research efforts involving diverse collaborators.

Research (85%)
  • Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
  • Perform scientifically rigorous data management, bioinformatic, and machine learning analyses
  • Develop and disseminate a variety of computational tools designed to access relevant clinical and sample data
  • Develop and implement complex analysis pipelines, programming, and data visualization techniques for multi‑layered omics datasets (transcriptome, epigenome, proteome, microbiome, etc.) at different resolutions (bulk, single‑cell, spatial)
  • Develop and implement complex analysis pipelines, programming, and data visualization techniques for imaging datasets (H&E, multiplexed immunofluorescence, etc.)
  • Creatively and effectively integrate data from multiple sources to accelerate discoveries
  • Assist with the design and development of major bioinformatics‑related programming projects
  • Write custom scripts to access databases and analyze data
  • Write custom coding tools or packages for PIs and other stakeholders
  • Independently and creatively identify bioinformatics and data management solutions
  • Independently identify AI/ML tools and frameworks, including the usage of LLMs and architecting multi‑agent systems for bioinformatics programming projects
  • Provide the biostatistical/data science expertise and leadership in study design, oversight, data management, data analysis, and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines
  • Act as a Subject Matter Expert and authority in the areas of bioinformatics and machine learning
Administrative (10%)
  • Contributing to high‑quality scientific publications and grant proposals
  • Presenting research at national and international scientific meetings
  • Generate visualizations, summary reports, and interpretable outputs for scientific collaborators
  • Track project milestones, deliverables, and documentation to ensure timely completion
  • Assist with developing documentation including process flows, training manuals, and Standard Operating Procedures (SOPs)
Teaching (5%)
  • Serve as a resource to PIs and other stakeholders in foundational data science, machine learning, and bioinformatics principles and best practices in code quality
  • Assist and train junior team members in programming, code management, bioinformatics, and machine learning
Work Location

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

Benefits
  • 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
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 10/year
  • Tuition Benefit: Employees have access to this benefit on all CU campuses
  • ECO Pass: Reduced rate RTD Bus and light rail service
Qualifications

Minimum Qualifications:

  • Full‑time bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field
  • An advanced degree (Master’s or PhD) may be substituted for experience on a year‑for‑year basis if the degree is in a field of study directly related to the work assignment
  • Three (3) years of data management and bioinformatics analysis experience

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications
  • Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field
  • Four (4) years of experience analyzing data using high‑performance computing
  • Prior experience managing code with a version control system (GitHub, GitLab, etc.)
  • 2+ years of experience with Unix/Linux shell scripting, and either Python or R
Knowledge, Skills and Abilities
  • Expert knowledge of basic statistical principles relevant in bioinformatic research
  • Expert ability to analyze and solve complex problems and apply quantitative analytical approaches
  • Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary
  • Familiarity with statistical and machine learning concepts and methods
  • Ability to communicate effectively, both in writing and orally
  • Ability to establish and maintain effective working relationships with employees at all levels throughout the institution
  • Outstanding customer service skills
  • Expert level knowledge of bioinformatics and machine learning processes, functions and/or technology
Equal Employment Opportunity Statement

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@cuanschutz.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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