ARC Senior Genomics Data Engineer

Summary

The ARC Senior Genomics Data Engineer is responsible for full performance complex system analysis, design in both data transformation and data analysis. This critical role involves developing, testing, promoting, supporting, and maintaining infrastructure and systems for data generation, storage, and movement and providing quantitative and qualitative data analysis products, producing reports and dashboards that offer actionable insights to decision-makers. Also supports advanced analytics in the organization by integrating enhanced technologies such as GenAI, LLMs, RAG architecture, and Cloud Computing technologies to deliver data processes and solutions.

As an ARC Senior Genomics Data Engineer at Children's Hospital Colorado, you will be a key member of the Bioinformatics Team part of the Centre for Innovative Genomics. The center includes our nationally and internationally known clinical laboratory, Precision Diagnostics Laboratory, as well as the focused efforts of our genomics research mission. The Bioinformatics team plays a pivotal role in Children's Colorado efforts to provide a best-in-class clinico-genomics dataset and infrastructure needed for internal and external partners to gain deeper biological insights and operational awarenesses. Our patients are at the center of our mission thus the clinico-genomic solution must ensure biological and operational insights are brought back to our pediatric focused health systems. Working closely with Innovation, Technical Operations, Genomics Research, IT teams, you will be responsible for both clinical and research use only dataset structures as well as developing various programmatic interfaces to facilitate easy access to enable empowered clinico-genomic scientific discoveries. As a senior member of the team, you may perform lead work over low and medium complexity cross-functional efforts.

Shift

Center for Innovative Genomics

Day shift, typically from 8:00 a.m. - 4:00 p.m.

Weekend and holiday work may be required.

Hybrid eligible.

Duties & Responsibilities

• Develop innovative solutions that simplify access to complex genomic data, effectively lowering the barrier to entry for internal and external partners.
• Design, build, and continuously optimize robust, scalable, and automated data pipelines for processing large-scale genomic and clinical data.
• Build and maintain pipelines to prepare, de-identify, and securely deliver massive-scale genetic datasets to clinical and research partners, both internally and externally.
• Work cross-functionally with Innovation, Technical Operations, Genomics Research, IT, and external teams to tackle complex data challenges and drive scientific discovery.
• Provide senior-level support and create tooling to help internal and external clinical and research data partners effectively utilise our complex datasets and platforms.
• Implement and manage data infrastructure/pipeline as code using tools, ensuring our distributed compute environment is efficient and scalable.
• Analyzes, designs, builds, modifies, implements, tests and debugs new or existing data streams, architectures, databases, and systems integration to automate business processes, as applicable. Completes data extraction and manipulation to develop meaningful and actionable results and may complete data profiling. Supports and performs data validation and auditing. Writes and documents technical specifications to build complex analytics solutions.
• Serves as a technical resource for modeling, simulation and analysis efforts. Verifies program logic by overseeing the preparation of test data, testing and debugging of programs. May assist lower level developers in the development of complex coding. Reviews, analyzes and recommends coding enhancements from lower level developers.
• Involved in the development, preparation and outcome tracking for clinical and operational performance metrics.
• Manages, facilitates, and provides oversight for a variety of analytical projects from start to finish. Providing project management, data analysis, consultation and support for collaborative work and major improvement initiatives.
• Designs and/or implements complex machine learning or predictive models and AI algorithms to integrate into workflow.
• Conducts data analysis and develops meaningful, accurate and dependable data reports, and dashboards using SQL and/or other toolset. Recommends, develops, documents and maintains coding and development standards, principles and practices.
• Administrates, builds and supports analytics tools that utilize the data pipeline to provide actionable insights for the business. Develops in open source tools as needed.
• Consults and collaborates with a variety of individuals and department leaders and teams to provide comprehensive analyses supporting organizational wide projects, programs, and initiatives. Gathers, analyzes and documents business and user requirements, functional requirements and data specifications.
• Identifies data sources needed to produce required data sets, reports, or dashboards. Ensures delivered data solutions meet or exceed requirements. Collaborates with others to solve problems and obtain feedback on outputs
• Designs and develops complex processes required to extract, transform, cleanse and load data into the enterprise data warehouse and data marts. Develops solutions to address data warehouse query performance and quality issues including data profiling, development, enhancement, and technical standards. Ensures systems are maintained, and supported during system and database upgrades and modifications.
• Troubleshoots performance and system availability problems ensuring quality of the enterprise data warehouse. Consults with ARC, end users and information technology staff to identify user problems.

• Participates in Production Support on-call rotation as necessary.

Minimum Qualifications

• Degrees
  • Bachelor of Science
• Area of Study
  • No specific area of study
• Experience
  • Required: Five (5) year of related IT or Healthcare experience
• Equivalency
  • Combination of additional experience and education may substitute on a 1:1 year basis.
• Licenses & Certifications
  • None
• Additional Requirements
  • Epic Certification required within four months of hire to maintain employment
• Competency
  • None

Preferred Qualifications

• Experience working with large biological data.

Salary Information
Pay is dependent on applicant's relevant experience.

Annual Salary Range (Based on 40 hours worked per week): $109,636.42 to $164,454.63

Benefits Information
Here, you matter. As a Children's Hospital Colorado team member, you will receive a competitive pay and benefits package designed to take care of your needs that includes base pay, incentives, paid time off, medical/dental/vision insurance, company provided life and disability insurance, paid parental leave, 403b employer match (retirement savings), a robust wellness program, and access to professional development tools, including an education benefit to help you advance your career.

As part of our Total Rewards package, Children's Colorado offers an annual employee bonus program that rewards eligible team members based on organizational performance. If organizational goals are met for the year, the bonus is paid out the following April.

Children's Colorado delivers annual base pay increases to eligible team members based on their performance over the previous year.

EEO Statement
It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, or any other status protected by law or regulation. Be aware that none of the questions are intended to imply illegal preferences or discrimination based on non-job-related information. The position is expected to stay open until the posted close date. Please submit your application as soon as possible as the posting is subject to close at any time once a sufficient pool of qualified applicants is obtained.

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of attendance at or graduation from an educational institution. You will not be penalized for redacting or removing this information.

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