Senior Information Sciences Professional

The candidate will support a basic-translational research program focused on lung biology by analyzing high-throughput sequencing data, including bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics, to investigate gene expression and cellular dynamics in lung development and disease. This role involves close collaboration with bench scientists to design experiments, interpret biological data, and translate complex datasets into actionable scientific insights. The bioinformatician will develop and maintain reproducible computational pipelines, generate clear visualizations and reports, and ensure data integrity across all stages of analysis. The position requires both independent problem-solving and active engagement with the broader research team to advance the lab's scientific goals., * Collaborate closely with Principal Investigators (PIs), clinicians, and cross-functional stakeholders to translate biological and clinical questions into effective analytical strategies and study designs.

• Provide subject-matter expertise in bioinformatics, biostatistics, and data science across the full research lifecycle, including experimental design, data analysis, interpretation, and manuscript preparation.
• Perform scientifically rigorous data management, integration, and analysis of multi-dimensional datasets, including genomics and -omics data (e.g., RNA-seq, single-cell, spatial transcriptomics, proteomics, epigenomics, microbiome).
• Design, develop, and implement complex, reproducible data analysis pipelines and workflows using modern programming languages (e.g., R, Python, Bash) and containerization tools (e.g., Docker, Singularity).
• Apply statistical, computational, and biological knowledge to select appropriate methods, tools, and libraries for analyzing next-generation sequencing (NGS) and other biomedical datasets.
• Develop automation scripts, custom code, and efficient algorithms to process, analyze, and manage large-scale datasets, ensuring performance and reproducibility.
• Create intuitive data visualizations, interactive dashboards, and reports (e.g., R/Python visualizations, Shiny apps, Quarto reports) to communicate findings to both technical and non-technical audiences.
• Build and maintain software tools, web applications, and databases to support data access, tracking, analysis, and research workflows, including custom web tools and lab information systems.
• Manage code versioning and collaborative development using platforms such as GitHub, and follow best practices across the software development lifecycle (design, testing, deployment, maintenance).
• Integrate data from multiple sources to enable comprehensive analysis and accelerate scientific discovery.
• Independently identify and implement innovative solutions for bioinformatics, data management, and operational challenges.
• Support operational excellence by developing and improving processes, protocols, documentation (e.g., SOPs, workflows, training materials), and quality improvement initiatives.
• Train, mentor, and support junior team members, contributing to team development and knowledge sharing.
• Maintain research documentation, prepare materials and resources, and ensure data and process integrity.
• Identify and communicate opportunities for improving efficiency, data quality, and research outcomes to leadership.
• Serve as a key resource and advisor to investigators and stakeholders on bioinformatics tools, methods, and best practices.

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field.
• Two (2) years of data management and bioinformatic analyses experience.

• Substitution: An advanced degree (Master's or Doctorate) 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., * Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field.

• Three (3) years of experience analyzing data using high-performance computing.

Conditions of Employment:

• Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization for this position now or in the future.
• Must be willing and able to pass national criminal and sex offender background checks.
• Must successfully pass a 10-panel drug screen through Children's Hospital Colorado., * Advanced knowledge of basic statistical principles relevant in medical research.
• 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 analytical concepts and methods.
• Ability to communicate effectively, both in writing and orally.

4.04.0 out of 5 stars Aurora, CO Remote $63,096 - $84,548 a year - Full-time, Pulled from the full job description

• Health insurance
• Paid time off
• Dental insurance
• Disability insurance
• 401(a), 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
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 15/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., The starting salary range (or hiring range) for this position has been established as $63,096 to $84,548.

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 may be eligible for overtime compensation, depending on the level.

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.

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The University of Colorado Anschutz Medical Campus is a public education, clinical, and research facility serving 4,500 students and is a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges and receives over $500 million in research awards each year. We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award-winning faculty, renowned researchers, and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care.