Computational Biology​/Neuroscientist

Job Summary

Key Responsibilities:

• Design, implement, and optimize computational and machine learning pipelines for multimodal biological and clinical datasets.

Onsite, Aurora, Colorado.

Benefits include:

• Medical, Dental, and additional insurance (disability, life, vision)
• Retirement 401(a) – employer contributes 10% of gross pay
• Paid time off and vacation days – 22 annual days, 15 sick days, 10 holiday days, PTO accruals over the year
• Tuition benefit and ECO Pass (reduced bus/rail rate)

• Conduct rigorous statistical and computational analyses to investigate brain development and neuropsychiatric disorders.
• Collaborate with investigators across disciplines to develop research questions, interpret results, and prepare manuscripts.
• Contribute to grant writing, progress reports, and collaborative funding efforts.
• Develop and maintain reproducible codebases, including version control, containerization, and workflow automation.
• Support data integration, harmonization, and quality control across heterogeneous datasets.
• Present research findings at internal meetings and external conferences.
• Work onsite in Aurora, Colorado.

Minimum Qualifications:

• PhD, MD, or equivalent doctoral degree in computational biology, neuroscience, bioinformatics, data science, or related field.
• 2+ years of postgraduate neuropsychiatric research experience in computational biology.
• Fluency in R and Python computational environments.
• Experience with containerization (Docker, Singularity, Charlie cloud).
• Experience with statistical modeling and data analysis of large‑scale biological datasets.

Preferred Qualifications:

• Multiple first‑author and/or main co‑author peer‑reviewed publications.
• Demonstrated record of grant funding.
• Experience with machine learning (scikit‑learn) and deep learning (Tensor Flow, PyTorch).
• Experience analyzing embryologic and developmental datasets spanning prenatal‑to‑adult trajectories with longitudinal time‑resolved data.
• Proficiency in high‑performance computing environments and multimodal data integration.
• Strong background in version control (Git/Git Hub/Git Lab) and HPC usage.
• Excellent problem‑solving, communication, and collaborative skills.

Applications are accepted through the University of Colorado career portal (https://(Use the "Apply for this Job" box below).) and are reviewed continuously until finalists are identified. Submit a cover letter, curriculum vitae, and five professional references. Contact Stephanie Vetter (stephanie.vetter) with any questions.

Equal Employment Opportunity Statement:
The University of Colorado Anschutz Medical Campus is a diverse and inclusive environment committed to providing equal opportunity to all. We consider applicants without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status.

We provide reasonable accommodations to applicants with disabilities during the recruitment process. Contact the human resources ADA Coordinator coordinator for assistance.

Vaccination Statement:
The University of Colorado Anschutz strongly encourages COVID‑19 vaccination and adherence to institutional health policies for all faculty and staff.

Background Check Statement:
All prospective employees will undergo background investigations.