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Bioinformatics Programmer Analyst Jobs in Colorado

Bioinformatics Analyst III

Denver, CO · On-site +1

$110K - $120K/yr

Bioinformatics Analyst III Department: Bioinformatics Employment Type: Full Time Location: Remote ... Coordinate across analysts, developers, project managers, and stakeholders to drive execution.

Bioinformatics Analyst III

Denver, CO · On-site

$110K - $120K/yr

Coordinate across analysts, developers, project managers, and stakeholders to drive execution ... Experience with bioinformatics tools, databases, and workflow management systems (Nextflow ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Programmer Analyst information

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are the key skills and qualifications needed to thrive as a bioinformatics programmer analyst?

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Colorado?

For Bioinformatics Programmer Analyst jobs in Colorado, the most frequently searched job titles are:

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

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

What cities in Colorado are hiring for Bioinformatics Programmer Analyst jobs?

Cities in Colorado with the most Bioinformatics Programmer Analyst job openings:

Infographic showing various Bioinformatics Programmer Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.

Bioinformatics Analyst III

Denver, CO • On-site, Remote

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Bioinformatics Analyst III
Department: Bioinformatics
Employment Type: Full Time
Location: Remote-US
Reporting To: Public Health Team Lead
Compensation: $110,000 - $120,000 / year
Description
About the Company:
Theiagen Genomics is an innovative technology company dedicated to transforming public health and pathogen genomics through advanced technology solutions and a collaborative work culture. At Theiagen we aim to work with state IT and bring these computing resources outside the state infrastructure. Leveraging the affordability, scalability, and security of cloud computing environments resulting in cutting edge technology that can drive your public health interventions. We are a team of experts across academia, government and industry careers who have come together to deliver a world-leading service covering a diverse range of microbial genomics applications.
About the Position:
Theiagen is seeking a Bioinformatics Analyst III to serve as a senior scientific and operational leader within our Public Health Team, reporting to the Public Health Team Lead. This role will independently lead complex and high-impact initiatives, serve as a primary owner for select partner engagements and projects, provide scientific oversight and mentorship across teams, and support the continued growth and scalability of Theiagen's pathogen genomics services and operations.
Key Responsibilities
Technical & Scientific Leadership
  • Serve as a pathogen genomics subject matter expert for public health and other applications.
  • Provide scientific oversight and sign-off authority for analyses, reports, presentations, and partner deliverables.
  • Guide interpretation of complex or non-routine analytical results.
  • Ensure scientific rigor, reproducibility, and alignment with partner needs.
  • Support development and evaluation of analytical methods, workflows, and tools.

Initiative Ownership & Execution
  • Independently lead novel, ambiguous, or high-complexity projects from initiation through delivery.
  • Serve as primary owner for partner engagements and specialized initiatives.
  • Coordinate across analysts, developers, project managers, and stakeholders to drive execution.
  • Develop implementation strategies, design documentation, and operational approaches for new project types.
  • Act as escalation point for non-routine analytical and operational challenges.

Partner & Stakeholder Engagement
  • Lead partner-facing meetings and communications independently.
  • Build trusted relationships with public health and external partners.
  • Identify partner needs and translate them into actionable analytical and technical solutions.
  • Present findings, recommendations, and project updates to technical and non-technical audiences.
  • Support strategic discussions regarding project direction and delivery.

Communication & Strategic Alignment
  • Support Team Leads in alignment of analytical work with organizational priorities and operational strategy.
  • Support Team Leads in scaling operations and distributing leadership responsibilities.
  • Contribute to planning discussions regarding current and future services, and idea development for services expansion/improvement.
  • Collaborate across teams to improve consistency, coordination, and delivery quality.
  • Communicate technical concepts clearly across interdisciplinary teams.

Process Improvement & Technical Mentorship
  • Mentor Analyst I and II staff through onboarding, troubleshooting, and professional development.
  • Lead training initiatives and contribute to development of best practices and SOPs.
  • Identify opportunities for workflow optimization, automation, and operational efficiency.
  • Support knowledge-sharing and development of internal technical standards.
  • Foster technical excellence and collaborative problem solving across teams.

Product Management & Design
  • Define and translate product vision, roadmap, and priorities into actionable initiatives and continuously optimize direction based on user feedback, performance metrics, and organizational goals.
  • Define and validate product acceptance criteria, ensuring deliverables meet functional and quality standards while monitoring product performance and user experience to drive continuous improvement.
  • Serve as the primary liaison between stakeholders and the development team, ensuring clear communication of requirements, and supporting the team to successfully deliver sprint goals.
  • Support refinement and prioritization of the product backlog by defining clear requirements, user stories, and acceptance criteria; collaborate with cross-functional stakeholders to incorporate customer and business feedback; and communicate product priorities, timelines, and risks to ensure delivery aligns with business value.

Skills, Knowledge and Expertise
  • Masters or doctoral degree in bioinformatics, biostatistics, computer science, microbiology, molecular biology, or related field.
  • 7+ years of experience in bioinformatics analysis, with expertise in NGS and multi-omics data.
  • Experience in programming languages such as SQL/Python/R.
  • Experience with bioinformatics tools, databases, and workflow management systems (Nextflow, Snakemake, WDL).
  • Demonstrated expertise applying bioinformatics tools and workflows to answer complex biological questions, particularly in pathogen genomics.
  • Advanced proficiency in using bioinformatics tools for tasks such as genome assembly, annotation, taxonomic classification, and antimicrobial resistance detection.
  • Proficiency with genomic epidemiology methods, including phylogenetics, outbreak investigation tools, and MLST typing.
  • Proven ability to lead and manage multiple projects independently or within a collaborative team environment.
  • Excellent written and verbal communication, with experience presenting technical results to diverse audiences.
  • Effective judgment and advanced problem-solving skills with minimal supervision.
  • Strong motivation and demonstrated impact in public health initiatives.

Preferred Skills:
  • Comprehensive knowledge of public health laboratory processes and workflows, including validation and verification of bioinformatics workflows for decision-making.
  • Expertise in interpreting bioinformatics results and providing actionable public health insights.
  • Significant experience analyzing pathogen genomics datasets for public health applications (e.g., SARS-CoV-2, Mycobacterium tuberculosis, antimicrobial resistance, or HAIs).
  • Advanced experience with cloud-based bioinformatics platforms (e.g., Terra.bio, Galaxy) and workflow orchestration tools (e.g., Nextflow, WDL, or Snakemake).
  • Hands-on expertise in using visualization and reporting tools to clearly communicate results to stakeholders.
  • Proficiency in shell scripting and working in UNIX/Linux environments.
  • Experience mentoring junior team members and fostering technical excellence.

Benefits
  • Paid Time Off
  • Fully remote work (Must hold citizenship for where you plan to work from, role does not offer sponsorship)
  • Company supplied computer
  • Medical, Dental, Vision coverage/stipend
  • 401(k) with company match
  • Flexible Spending Accounts
  • Employee Assistance Program
  • Employee Discount Program

Why Join Theiagen Genomics?
  • Be part of a passionate team driving innovation in the pathogen genomics space.
  • Competitive salary, comprehensive benefits, and opportunities for professional development.
  • A culture that values diversity, collaboration, and a commitment to excellence.

Theiagen Genomics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.