University of Alabama at Birmingham
Overview
University of Alabama at Birmingham is seeking a highly motivated Bioinformatician I to join our multidisciplinary Cardiovascular Clinical and Translational Research Program focused on cardiovascular genetics, multi-omics, and computational medicine. The successful candidate will contribute to research projects involving polygenic risk scores, next-generation sequencing (NGS), transcriptomics, and metabolomics, supporting the translation of bioinformatics discoveries into clinical applications. This position offers an excellent opportunity to work with large-scale genomic datasets such as the UK Biobank, All of Us Research Program, AGHI, and NHGRI, leveraging the resources and support provided by the program to advance cardiovascular genomics and improve patient care through innovative research.
Key Responsibilities
Develop, optimize, and maintain bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis.
Perform quality control, preprocessing, and analysis of high-throughput sequencing data (e.g., WGS, WES, RNA‑Seq, GWAS, epigenetic datasets).
Implement machine learning and statistical models for multi‑omics data integration and biomarker discovery.
Work with EHR and clinical datasets, integrating genomic and clinical data for risk stratification.
Collaborate with statisticians, clinicians, and computational biologists to analyze and interpret complex biological datasets.
Contribute to manuscripts, grants, and conference presentations, ensuring high scientific rigor and reproducibility.
Maintain and document computational workflows, pipelines, and databases to ensure scalability and accessibility.
Support and mentor junior bioinformatics staff, graduate students, and postdocs as needed.
Perform data management, quality control, data processing, data analysis, and other bioinformatics-related tasks on high-dimensional data in coordination with study investigators and other computing and bioinformatics staff in the assigned department.
Determine applicable commonly-available, widely-accepted and well-understood bioinformatics tools and technologies.
Stay abreast of recent literature and new developments, incorporating them into existing data analysis protocols and pipelines to support high quality, reproducible research in any science discipline or disease.
Perform other duties as assigned.
Knowledge, Skills, Abilities & Work Characteristics
Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, or related fields.
Proficiency in Python, R, and Bash scripting for bioinformatics applications.
Experience with NGS data analysis, machine learning models, and statistical genetics; familiarity with cloud computing platforms (AWS, Terra, DNAnexus, Google Cloud) and genomic databases (dbSNP, gnomAD, GATK, PLINK, Seurat).
Salary Range $52,555 - $85,400
Education Bachelor's degree in Bioinformatics, Biological Sciences, Computer Science or a related field is required. Work experience may NOT substitute for the education requirement.
EEO Statement UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Additional Information Primary Location: University Job Category: Professional & Managerial Organization: 311401000 Med – Cardiovascular Disease Employee Status: Regular Shift: Day/1st Shift Work Arrangement (final schedule to be determined by the department/hiring manager): Onsite
#J-18808-Ljbffr
Key Responsibilities
Develop, optimize, and maintain bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis.
Perform quality control, preprocessing, and analysis of high-throughput sequencing data (e.g., WGS, WES, RNA‑Seq, GWAS, epigenetic datasets).
Implement machine learning and statistical models for multi‑omics data integration and biomarker discovery.
Work with EHR and clinical datasets, integrating genomic and clinical data for risk stratification.
Collaborate with statisticians, clinicians, and computational biologists to analyze and interpret complex biological datasets.
Contribute to manuscripts, grants, and conference presentations, ensuring high scientific rigor and reproducibility.
Maintain and document computational workflows, pipelines, and databases to ensure scalability and accessibility.
Support and mentor junior bioinformatics staff, graduate students, and postdocs as needed.
Perform data management, quality control, data processing, data analysis, and other bioinformatics-related tasks on high-dimensional data in coordination with study investigators and other computing and bioinformatics staff in the assigned department.
Determine applicable commonly-available, widely-accepted and well-understood bioinformatics tools and technologies.
Stay abreast of recent literature and new developments, incorporating them into existing data analysis protocols and pipelines to support high quality, reproducible research in any science discipline or disease.
Perform other duties as assigned.
Knowledge, Skills, Abilities & Work Characteristics
Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, or related fields.
Proficiency in Python, R, and Bash scripting for bioinformatics applications.
Experience with NGS data analysis, machine learning models, and statistical genetics; familiarity with cloud computing platforms (AWS, Terra, DNAnexus, Google Cloud) and genomic databases (dbSNP, gnomAD, GATK, PLINK, Seurat).
Salary Range $52,555 - $85,400
Education Bachelor's degree in Bioinformatics, Biological Sciences, Computer Science or a related field is required. Work experience may NOT substitute for the education requirement.
EEO Statement UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Additional Information Primary Location: University Job Category: Professional & Managerial Organization: 311401000 Med – Cardiovascular Disease Employee Status: Regular Shift: Day/1st Shift Work Arrangement (final schedule to be determined by the department/hiring manager): Onsite
#J-18808-Ljbffr