Genomics Research Programmer Analyst Associate - Remote

Aurora Health Care; Milwaukee (WI); Remote; USD 70,000 - 90,000; Full time

Job summary

A leading healthcare organization is seeking a Genomics Research Programmer Analyst – Associate to support the development of a genomic data warehouse. This role focuses on ensuring the integrity and quality of genomic data while developing SQL and R code. The candidate should hold a Bachelor's degree in Computer Science or a related field, with experience in genomic data and familiarity with relevant tools. The position is primarily remote, with specified preferred locations.

Qualifications

• Knowledge of genomic data formats and management.
• Experience with SQL and R programming.
• Bachelor's degree in a relevant field.

Responsibilities

• Ensure data integrity, quality, and security in the data warehouse.
• Develop and debug SQL and R or Python code.
• Troubleshoot data pipeline issues and optimize performance.
• Assist with defining functional requirements for custom applications.

Skills

Knowledge of genomic data formats (e.g., VCF, FASTQ)

Experience with SQL

Experience with R programming

Familiarity with genomic analysis tools such as SAMtools, BEDtools, DESeq2

Ability to think analytically and use creativity

Ability to work independently and as part of a team

Education

Bachelor's Degree in Computer Science or related field

Tools

R

SQL

Python

Job description

Overview

The Genomics Research Programmer Analyst – Associate is responsible for helping to build and maintain Advocate’s newly emergent genomic data warehouse to ensure high standards of data quality, security, and integrity. The role supports research initiatives by fulfilling data requests, which involves extracting genomic data and integrating it, when required, with patient clinical records and other sources to enable comprehensive analysis.

Responsibilities

• Monitors and ensures the integrity, quality, and security of genomic data stored in the data warehouse.
• Develops, tests, and debugs moderately complex SQL and routine R or Python code to deliver reproducible analysis-ready datasets. Documents processes and rationales with code. Provides data dictionaries and descriptive statistics with datasets as appropriate.
• Maintains documentation for data workflows, pipelines, and warehouse architecture.
• Troubleshoots data pipeline issues and optimizes performance.
• Stays current with industry best practices and emerging technologies in genomics and data engineering.
• Assists with defining functional requirements, formulating technical specifications, and researching and evaluating alternatives for moderately complex custom applications and processes that support research.
• Participates in data mapping and cleaning activities. Makes recommendations and improves data quality within research data infrastructure.
• Ensures datasets are accessible and provided to research investigators and stakeholders in a manner consistent with HIPAA, IRB, legal agreements, policies and procedures, and other appropriate standards.

Licensure, Registration, And/Or Certification Required

• Epic Caboodle Data Model certification issued by Epic. needs to be obtained within 6 months.
• Epic Clarity Data Model certification issued by Epic (CLR110). needs to be obtained within 6 months.
• Epic Clinical Data Model certification issued by Epic (COG240). needs to be obtained within 6 months.

Education Required

• Bachelor's Degree in Computer Science or related field.

Experience Required

• No experience required.
• 1-3 years experience preferred.

Knowledge, Skills & Abilities Required

• Knowledge of genomic data formats (e.g., VCF, FASTQ), genomic data management, and genomic research methods.
• Experience with SQL, R programming languages. Python and Bash preferred.
• Familiarity with genomic analysis tools such as SAMtools, BEDtools, DESeq2.
• Ability to incorporate new technical and analytical skills into current capabilities.
• Ability to think analytically, logically, and use creativity.
• Ability to work independently, or as part of a team and balance multiple priorities.
• This role will help develop a technical solution for Advocate’s genomics buildout. The role will need to be familiar with genomic data and be ready to get training and certification in Epic data models over the next 6 months.

Work Location, Remote Policy, and Conditions

The Office of Research Analytics and Systems Computing is the research informatics team for the IL/WI divisions. We work with researchers to develop patient cohorts for each study in addition to analytical services (e.g., data science, etc.).

Remote options: Preferred remote locations in IL, WI, NC, GA. Fully remote role available from: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY. Remote work is not permitted for short or long periods in CA, CO, CT, HI, MA, MD, MN, NJ, NY, OR, RI, VT, WA or for international locations (including vacations).

No relocation, sponsorship, or transfer of visa for this position.

Physical Requirements And Working Conditions

• Position may require travel which may result in exposure to road and weather hazards.
• Exposed to normal office environment.
• Operates all equipment necessary to perform the job.

This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties.