Data Scientist (Entry – Principal Level) (0.5 FTE – 1.0 FTE)

at  University of Colorado

JOB SUMMARY:

The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry – Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields.
The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics.
The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.

PREFERRED QUALIFICATIONS

• Documented open-source contributions.
• Experience with genomics data.
• One (1) to four (4) years of experience in data science.
• Experience developing scientific software and/or designing efficient algorithms.
• Experience with a workflow development language (e.g. Nextflow, Snakemake, WDL, Bpipe).

KNOWLEDGE, SKILLS, AND ABILITIES (KSA’S):

• Demonstrated fluency in one or more programming languages (e.g., Rust, Python, R, Java, Groovy, C++, Nim) and willingness to learn new programming languages as necessary.
• Ability to analyze and solve complex problems and apply quantitative analytical approaches, for example data analysis, visualization, and statistics.
• Familiarity with cloud and high-performance computing environments.
• Familiarity with genomic software and data formats, for example BAM, VCF, read aligners and variant callers.
• Demonstrated commitment to advancing diversity and inclusion.
• Ability to communicate effectively, both in writing and in person.
• Ability to manage priorities and deadlines.

QUALIFICATIONS

Application Materials Required: Cover Letter, Resume/CV, List of References
Job Category: Information Technology
Primary Location: Hybrid
Department: U0001 - Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops
Schedule: Full-time
Posting Date: Nov 6, 2024
Unposting Date: Nov 14, 2024, 12:59:00 AM
Posting Contact Name: DBMI.HR
Posting Contact Email: dbmi.hr@cuanschutz.edu
Position Number: 0082250

• Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
• Develop and deploy computational workflows in HPC and cloud environments.
• Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
• Develop and maintain scientific web tools and data resources.
• Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
• Lead and contribute to writing scientific papers, grants, presentations, and documentation.