Computational Research Scientist, Simmons Cancer Center

UT Southwestern Medical Center • Dallas, TX

7h

About The Position

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.

Requirements

• PhD In Computer Science, Electrical Engineering, or related field or Master's Degree In Computer Science, Electrical Engineering, or related field
• 2 years Experience in software development/engineering and/or HPC systems management with PhD.
• 4 years Experience in software development/engineering and/or HPC systems management with Master's Degree.

Nice To Haves

• 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 projects with Master's Degree.
• Post-doctoral fellowship preferred.

Responsibilities

• 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.
• Designs and implements the high-performance scientific computing infrastructure for large, multi-institution projects, including software applications, workflows, servers, databases, long-term and short-term storage solutions, and cloud services.
• Serves as a domain expert for research and industry collaborations on biomedical computational methods, algorithms and platforms. Subject matter expert in multiple areas of computing technology.
• Leads and develops proof-of-concepts (PoCs) for solutions applied to biomedical and clinical science use-cases by working closely with industry collaborators.
• Designs, develops, implements and optimizes algorithms and scientific workflows for high dimensional data in biomedical and clinical sciences.
• Develops software and methods to explore, analyze and visualize biological data sets.
• Demonstrates and craft applications of cutting-edge visual computing technologies and connect them to core infrastructure.
• Report research results in journal articles, conference papers, and technical manuals.
• Mentor and train staff, postdoctoral fellows, and graduate students.
• Supports faculty and students in adapting computational strategies to leverage high-performance computing, working with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and data servers.
• Performs other duties as needed

Benefits

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100%25 coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree