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Clinical Bioinformatician
Advocate Aurora HealthUnited Statesfull_timeVerifiedPosted 3 Nov 2024
About the role
Department:
60470 IL ACL Laboratories - Central Lab: MolecularStatus:
Full timeBenefits Eligible:
YesHours Per Week:
40Schedule Details/Additional Information:
Full-time day shift hours: ON-SITE POSITION Monday - Friday 9:00 a.m. - 5:30 p.m.
MAJOR RESPONSIBILTIES
Work closely and independently, through regular communication with bioinformatics teammates to develop bioinformatics packages for somatic and germline targeted genes sequencing, exhibiting good code design and development practices.
Analyze and interpret NGS data from various sequencing platforms (e.g., Illumina, Ion Torrent) for clinical applications such as hereditary disease diagnostics, cancer genomics, and solid tumor mutation detection.
Develop, optimize and operationalize bioinformatics pipelines for tasks like variant calling, copy number variation (CNV) detection, structural variant analysis, and gene expression profiling.
Work closely with clinical laboratory staff, pathologists, directors, and researchers to translate bioinformatics analyses into actionable clinical insights. Communicate complex bioinformatics concepts and results to non-technical stakeholders in a clear and effective manner.
Assess data analysis workflows to identify opportunities for automation of analysis, reporting, and quality control (QC). Implement improvements in collaboration with laboratory leadership.
Ensure all bioinformatics workflows and analyses comply with clinical laboratory regulations and standards (e.g., CLIA, CAP). Lead the validation and verification of bioinformatic systems, including modifications, upgrades, and other changes.
Develop and implement bioinformatics policies and practices that adhere to CLIA, CAP, CDC, OSHA, AABB, and FDA guidelines. Oversee CAP bioinformatics surveys and ensure compliance with CAP inspections. Monitor regulatory changes and update policies accordingly.
Ensure the implementation of effective quality assurance and quality control programs, integrating with related committees and processes to maintain high standards.
MINIMUM EDUCATION AND EXPERIENCE REQUIRED
License/Registration/Certification required: n/a
Education required: Ph.D. in Bioinformatics, Statistics, Computer Science, data science or a related field and 0-2+ years of bioinformatics experience OR
Master’s degree with 3+ years of experience OR
Bachelor’s degree with 5+ years of experience.
Experience required: Typically requires 2 years of experience with Linux-based or cloud computing environments. Proficiency in Python, R for developing somatic and germline analysis pipelines, with experience managing the codebase using Git. Proven experience in NGS data analysis, variant detection, and annotation.
KNOLWEDGE, SKILLS AND ABILITIES REQUIRED
Familiar with the basic of genomics, genetics or molecular and cell biology.
Proficiency in Python, R, Bash, or similar programming/scripting languages.
Experience with high-performance computing (HPC) and cloud platforms is preferred.
Ability to write custom code for constructing analysis pipelines and manipulating sequence data.
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