Bioinformaticist

Job Summary
The Bioinformaticist will support the joint UTACook Childrens precision medicine and genomic research ecosystem by developing and maintaining analytical pipelines for genomic data performing variant annotation and interpretation building tools for clinical decision support and advancing data integration across genomics clinical phenotypes and functional datasets. This role supports precision clinics genome-informed care and AI-enabled clinical workflows. The position will work within UTAs Center for Innovation in Health Informatics ( CIHI ) and collaborate closely with Cook Childrens variant scientists genetic counselors clinicians data scientists and computational teams.

Essential Duties And Responsibilities
Genomic Data Processing & Pipeline Development Develop optimize and maintain pipelines for SNV /indel calling structural variant analysis annotation and QC. Implement cloud- and HPC -based workflows for large-scale genomic datasets. Ensure compliance with security IRB and PHI protection standards. Variant Annotation & Interpretation Support Conduct gene-specific variant curation integrating multiple annotation resources (gnomAD ClinVar HGMD UniProt). Support the UTACook variant review boards by preparing curated variant summaries and pathogenicity assessments. Assist in developing ACMG / AMP -aligned re-analysis pipelines. Data Integration & Knowledgebase Development Combine genomic clinical and experimental/functional datasets into harmonized searchable structures. Contribute to UTACook knowledgebases and web-facing tools that support clinical genetics and translational research. Machine Learning Statistical Modeling & Informatics Research Apply ML/AI approaches for pathogenicity prediction phenotype clustering or multimodal data modeling. Support translational informatics studies in precision neurology. Software Web Tools and Visualization Develop R/Shiny Python or JavaScript-based applications for interactive variant exploration or phenotype dashboards. Produce visualizations for clinical teams publications and presentations. Clinical Informatics & Decision Support Collaborate with Cook IT Epic analysts and UTA computational teams to transform unstructured data into structured formats using ontologies and NLP -based approaches. Support clinical decision-support tool development for precision neurology and rare disease programs. Collaboration Communication & Training Liaise with variant scientists genetic counselors bioinformaticians researchers and clinical partners. Mentor students and junior staff; assist with training programs in Genome-Informed Care. Other Duties as Assigned

Minimum Qualifications
Masters degree in Bioinformatics Computational Biology Genetics Data Science Computer Science or related field. Two (2) years of experience in genomic data processing variant annotation or large-scale data analysis or an equivalent mix of education and relevant experience in similar roles. Proficiency in R and/or Python SQL Linux/Unix environments and common bioinformatics workflows is required.

Preferred Qualifications
PhD in Bioinformatics Genetics Computational Biology or a related quantitative field. Experience integrating large multimodal datasets (genomic phenotypic functional). Hands-on experience with VCF / FASTQ processing variant interpretation frameworks and cloud-based deployments. Experience supporting clinical genetics programs or variant scientists. Experience with machine learning predictive modeling or structure-informed variant analysis. Contributions to scientific publications or open-source bioinformatics tools.

Work Schedule
Monday-Friday; 8:00am-5:00pm Based at UTA (Arlington TX) with regular on-site collaboration with Cook Childrens teams in Fort Worth.