Computational Research Scientist, Simmons Cancer Center

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals.

Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!

Leads the design and implementation of High-Performance Scientific Computing infrastructure. Performs and supports scientific research using technical knowledge of software, software development, complex databases, high-performance computing, and/or hardware in a complex computing environment. Performs scientific research using knowledge of formal isms and algorithms from mathematics, statistics, and/or computer science.

The Center for Cellular Therapies and Cancer Immunology in the Harold

C. Simmons Comprehensive Cancer Center is looking to hire a Computational Research Scientist at the interface of machine learning, cancer genomics, and immunology. You will build and apply computational methods that turn large-scale multi-omic and functional datasets into validated therapeutic hypotheses, while working side by side with experimental and translational scientists to bring those hypotheses to the clinic.

This is a senior, high-autonomy position suited to someone who wants their models to drive biological discovery to therapies. You will help set scientific direction, mentor junior computational and experimental scientists, and serve as the analytical backbone of a program developing novel immunotherapies within a new center.

• Build predictive models that integrate genomic, transcriptomic, epigenomic, single-cell, and functional-screen data to nominate novel therapeutic targets in cancer and the tumor immune microenvironment.
• Drive immunotherapy engineering by applying machine learning to antigen and neoantigen discovery, de novo protein design, and the optimization of engineered immune cells.
• Develop methods for interpreting high-dimensional and perturbation data, including deep learning approaches to sequence, structure, and single-cell readouts.
• Partner closely with wet-lab scientists to design experiments, prioritize candidates for validation, and iterate rapidly between computation and the bench.
• Lead and mentor trainees and staff, set analytical standards, and help shape the scientific roadmap of the program.
• Communicate results through high-impact publications, presentations, and collaborations across UT Southwestern’s research and clinical community.

Depending on your interests and strengths, your work can center on identifying novel cancer immunotherapy targets and/or developing novel therapeutics. Approaches may include:

• Machine learning applied to multi-omic, single-cell, and functional data
• Clinical–molecular correlations that link genotype and tumor biology to therapeutic response
• De novo protein design
• Computational proteomics

• Ph.D. in Bioinformatics, Computational Biology, Biomedical Engineering, or related field
• Master’s degree in computer science, Electrical Engineering, or related field

• 2 years experience in driving computational biology/machine learning projects.
• 4 years experience in driving computational biology/machine learning…