Senior Bioinformaticist

Job Summary
The Senior Bioinformaticist will lead the development and strategic implementation of advanced bioinformatics solutions within the joint UTACook Childrens precision medicine and genomic research ecosystem. This position will develop the strategy manage pipeline architecture and drive innovation in genomic data integration. The candidate will serve as a senior architect bridging population genetics clinical variant interpretation and translational neuroscience within precision neurology programs. 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
Pipeline Architecture and Optimization Design and oversee enterprise-scale genomic pipelines for SNV /indel calling structural variant analysis annotation and QC. Implement cloud- and HPC -based workflows for large-scale genomic datasets. Establish best practices for data governance security IRB and PHI protection standards across clinical and research environments. Lead design and maintenance of end-to-end germline and somatic WES / WGS pipelines including rare variants CNV mosaicism and gene-based burden analyses. Optimize pipelines for consortium-scale studies (>100k) using HPC and cloud environments. Strategic Variant Interpretation Leadership Lead innovative approaches for complex gene-specific variant curation integrating multiple annotation resources (gnomAD ClinVar HGMD UniProt). Serve as subject matter expert for the CookUTA variant review boards providing expert level variant summaries and pathogenicity assessments. Lead development ACMG / AMP -aligned re-analysis pipelines. Data Integration & Knowledgebase Strategy Architect for scalable harmonized searchable structures that integrate genomic clinical and experimental/functional datasets. Drive development of UTACook knowledgebases and web-facing tools that support clinical genetics and translational research for precision medicine programs. Advanced Analytics and Machine Learning Lead ML/AI approaches for pathogenicity prediction phenotype clustering or multimodal data modeling. Publish findings and contribute to grant proposals translational informatics studies in precision neurology and peer reviewed manuscripts. Software Development and Visualization Oversee creation of R/Shiny Python or JavaScript-based applications for interactive variant exploration or phenotype dashboards. Ensure usability and scalability of visualizations for clinical teams publications and presentations. Clinical Informatics & Decision Support Leadership Partner with Cook IT Epic analysts and UTA computational teams to operationalize unstructured data into structured formats using ontologies and NLP -based approaches. Guide clinical decision-support tool development for precision neurology and rare disease programs. Mentorship and Program Development Represent UTA -Cook partnership in strategic planning and external collaborations as well as with variant scientists genetic counselors bioinformaticians researchers and clinical partners. Mentor students and junior staff; Collaborate with Lead Faculty to develop 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. Five (5) years of experience in genomic data processing variant annotation or large-scale data analysis. Proven leadership in pipeline development variant interpretation and clinical informatics.

Preferred Qualifications
PhD in Bioinformatics Genetics Computational Biology or a related quantitative field. Demonstrated success in integrating large multimodal datasets (genomic phenotypic functional). Experience leading VCF / FASTQ processing variant interpretation frameworks and cloud-based deployments. Experience leading clinical genetics programs or variant scientists. Experience leading with machine learning predictive modeling or structure-informed variant analysis. Track record of high-impact publications and active participation in international consortia.

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.