Role Description 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. Key Responsibilities - 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. Qualifications - Minimum Qualifications: - 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. - 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. - Three (3) years of experience analyzing data using high-performance computing. Requirements - Applicants must be legally authorized to work in the United States without requiring sponsorship. - 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. 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: 15/year - Tuition Benefit: Employees have access to this benefit on all CU campuses - ECO Pass: Reduced-rate RTD Bus and light rail service How to Apply For full consideration, please submit the following document(s): - Curriculum vitae / Resume - Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address Questions should be directed to: Diane Hitchcock at diane.hitchcock@cuanschutz.edu 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.