Bioinformaticist

Posting Details

Position Information

Posting Number S06513P Position Title Bioinformaticist Department Health Innovation Institute Location Arlington Position Status Full-time Work Schedule

• Monday-Friday; 8:00am-5:00pm
• Based at UTA (Arlington, TX) with regular on-site collaboration with Cook Children’s teams in Fort Worth.
  
  

Salary Salary is commensurate with qualifications and relevant experience. Pay Basis Monthly Job Summary

The Bioinformaticist will support the joint UTA–Cook Children’s 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 UTA’s Center for Innovation in Health Informatics (CIHI) and collaborate closely with Cook Children’s 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 UTA–Cook 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 UTA–Cook 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

• Master’s 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.
  
  

Knowledge, Skills and Abilities

• Strong knowledge of genomic annotation tools (VEP, ANNOVAR, bcftools, bedtools).
• Familiarity with ACMG/AMP guidelines, variant curation frameworks, and ClinVar submission standards.
• Proficiency using public biomedical resources (gnomAD, ClinVar, UniProt, UCSC Genome Browser).
• Experience with R/Shiny or web-based tools for research dashboards.
• Strong understanding of ontologies (HPO, MONDO) and clinical data structures.
• Excellent communication skills: ability to support cross-disciplinary teams spanning AI, clinical neurology, genetics, and IT.
• Ability to manage multiple projects in a high-velocity, collaborative research environment.
  
  

Other Requirements Workplace and Eligibility Conditions

• Will engage with secure computing environments, IRB-protected datasets, and sensitive clinical data workflows.
• Office, computational, and occasional clinical–research interface settings.
  
  

Benefits Eligible Yes Benefits at UTA

We are proud to offer a comprehensive benefits package to all our employees at the University.

https://www.uta.edu/hr/employee-benefits

Benefits

To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:

https://resources.uta.edu/hr/services/records/compensation-tools.php

CBC Requirement

It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.

EEO Statement

It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University’s compliance with this policy.

University Information

The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times’ “Best for Vets: Colleges” and is the top university in North Texas for its graduates’ salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy.

UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university’s strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.

This is an exciting time to join UTA and contribute to its bold vision for the future.

ADA Accommodations

The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email [email protected].

Posting Detail Information

Number of Vacancies 1 Open Until Filled Yes Minimum Number of References Required 3 Maximum Number of References Accepted 3 Special Instructions to Applicants

Applicants must include in their online resume the following information: 1) Employment history: name of company, period employed (from month/year to month/year), job title, summary of job duties and 2) Education: school name, degree type, and major.

Requirement Questions

Required fields are indicated with an asterisk (*).

• * What is the highest level of Education you have completed?
• Undergraduate College/University Degree
• Masters’ Degree
• Some credits earned toward a Doctoral degree
• Ph.D. Degree (or other Doctorate)
• * How many years of professional experience do you have in the related field?
• None/less than 2 years
• 2 to 3 years
• 4 to 5 years
• 6 years or more
  

Documents Needed To Apply

Required Documents

• Resume or CV
• Cover/Interest Letter
  
  

Optional Documents

• References (Additional)