University of Colorado Anschutz

Department of Pediatrics | Section of Neonatology

Job Title: Research Scientist



Job Summary:

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:
• Design, conduct, and lead independent and collaborative biomedical research projects focused on pulmonary biology, neonatal lung injury, and translational medicine.
• Analyze and interpret complex multiomics datasets, including bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics data using R, Python, and advanced bioinformatics methodologies.
• Develop, optimize, and maintain reproducible computational workflows utilizing Docker, version control systems, and modern data science best practices.
• Perform statistical analyses and generate publication-quality figures, visualizations, and reports to support scientific discoveries and grant-funded research.
• Create and deploy interactive data visualization tools and web applications using R Shiny and other software frameworks to facilitate data exploration and scientific communication.
• Collaborate with multidisciplinary teams including clinicians, biologists, statisticians, and computational scientists to develop innovative research approaches and translate findings into impactful publications.
• Lead manuscript preparation, scientific writing, and presentation of research findings at institutional, national, and international scientific meetings.
• Contribute to the development of grant proposals, research protocols, and scientific reports supporting funded research programs.
• Mentor students, trainees, research staff, and junior investigators in experimental design, bioinformatics, statistical analysis, and computational research methodologies.
• Develop and maintain laboratory databases, data management systems, and data governance practices to ensure data integrity, accessibility, and regulatory compliance.
• Apply machine learning, data science, and computational biology techniques to investigate biological mechanisms and identify novel therapeutic targets.
• Support the design and implementation of laboratory informatics solutions, including database architecture, workflow automation, and user-centered software development.
• Establish standard operating procedures (SOPs) and quality assurance practices to enhance research rigor, reproducibility, and operational efficiency.
• Serve as a subject matter expert in computational biology and bioinformatics, providing consultation on study design, data analysis, and interpretation of high-dimensional biological datasets.
• Foster scientific collaborations across academic and clinical research programs to advance translational and precision medicine initiatives.
• Maintain awareness of emerging technologies, computational methods, and scientific literature to drive innovation and continuous improvement in research programs.
• Publish peer-reviewed research findings as first author and co-author in high-impact scientific journals.
• Contribute to institutional teaching, training activities, and educational programs related to bioinformatics, data science, computational biology, and biomedical research.

Work Location:

Remote - this role is eligible to work remotely, but the employee must be in the United States.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.
• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
• Four (4) years of experience analyzing data using high-performance computing

Condition of Employment:
• Must successfully pass a drug test through Children's Hospital Colorado
• Must be willing and able to pass a national criminal background check

*For questions regarding Children's Hospital drug testing requirements, please contact Children's Human Resources at 720-777-8598. Some positions may require testing if access to Children's Hospital or their systems is needed at any time during employment with the University. If drug testing is required, it will be listed in the job posting.

Preferred Qualifications:
• 3-5 years of demonstrated experience analyzing large-scale biological datasets, including RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and other multiomics data platforms.
• Proficiency in programming and statistical computing, with advanced experience in R and Python, as well as familiarity with reproducible research tools, version control, Docker, and workflow automation.
• Strong record of scholarly productivity, including peer-reviewed publications as first author and/or co-author, scientific presentations, and contributions to collaborative research projects.
• Experience developing research software, databases, data visualization tools, or web-based applications that support scientific discovery, data management, and communication of research findings to diverse audiences.

Knowledge, Skills and Abilities:
• Expert knowledge of basic statistical principles relevant in medical research
• Expert ability to analyze and solve complex problems and apply quantitative analytical approache
• 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 method
• Ability to communicate effectively, both in writing and orally

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 addre

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

Questions should be directed to: Diane Hitchcock [email protected]

Screening of Applications Begins:

Immediately and closes August 17, 2026.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE: $80,000 - $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