Genomics Data Scientist Professional

Build and apply analytical models for large-scale genomics and patient data within the Precision Diagnostics Laboratory team.

Responsibilities

• Develop and run hands-on models using integrated large biological datasets, including clinical and high-dimensional, patient-level data from the Employee Health Record (EHR) to produce evidence for Precision Medicine diagnostic and therapeutic decision making.
• Partner with matrixed project teams to design and prototype bioinformatics workflows for next generation sequencing (NGS) analysis, supporting development of new assay offerings.
• Work with bioinformatics engineering team members to convert prototyped pipelines into scalable, production software.
• Analyze data to improve understanding of current methods and enable better characterization of method performance.
• Perform data wrangling, statistical analysis, and interpretation to support data-driven decisions and clearer data interpretation.
• Develop and optimize computational tools and pipelines that support scientific research and interpretation efforts.
• Create thorough documentation for development, research, and pipeline execution to maintain clarity and support compliance needs.
• Plan, execute, interpret, validate, and communicate innovative exploratory analyses to support internal decisions and development of clinical grade genomic analytical workflows.
• Produce self-service tools, detailed reports, and visualizations to communicate findings to collaborative teams.
• Protect clinical data accuracy, integrity, and security by applying best practices in data management and quality control.
• Stay current on advancements in genetic testing and data science methodologies.
• Use statistical and computational methods to analyze genetic and clinical data.
• Support early target discovery using data mining through integrative analysis of human genetic and genomic datasets.
• Collaborate with both wet- and dry-lab team members across project teams.
• Communicate key findings via interactive data visualizations and presentations.

Requirements

• Master of Science
• Master of Science degree in Computational Biology, Statistics, Data Science, or other quantitative sciences (physics, math, evolutionary biology, population genetics)
• 3 years of data science experience in a genomics clinical laboratory, genomics health tech, or applied genomics research setting
• Additional education may substitute for additional experience above the required level

Benefits

• Base pay
• Incentives
• Paid time off
• Medical/dental/vision insurance
• Company provided life and disability insurance
• Paid parental leave
• 403b employer match (retirement savings)
• Robust wellness program
• Access to professional development tools
• Education benefit to help advance your career
• Annual employee bonus program
• Annual base pay increases

Shift

• Precision Diagnostics Laboratory
• Monday - Friday
• 8:00 a.m. - 5:00 p.m.
• Hybrid eligible

Salary

• Pay dependent on applicant’s relevant experience
• Annual salary range (based on 40 hours/week): $97,718.13 to $146,577.20

EEO Statement

• Equal opportunity for qualified applicants; selection based on job-related factors
• Application questions are not intended to imply illegal preferences or discrimination based on non-job-related information
• Position expected to stay open until the posted close date
• Apply as soon as possible; posting may close once a sufficient pool of qualified applicants is obtained
• Colorado residents may redact age-identifying information (such as age, date of birth, or dates of attendance/graduation) in submitted materials