JOB SUMMARY
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 formalisms 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.

What you will do
• 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.

Areas of focus
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

Preferred Qualifications
Education
o Ph.D. in Bioinformatics, Computational Biology, Biomedical Engineering, or related field
o Master's degree in computer science, Electrical Engineering, or related field
Experience
o 2 years experience in driving computational biology/machine learning projects.
o 4 years experience in driving computational biology/machine learning projects with Master's Degree.
o Post-doctoral fellowship preferred.

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100% 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
• Learn more about these and other UTSW employee benefits!

EXPERIENCE AND EDUCATION

Required

• Education
  PhD In Computer Science, Electrical Engineering, or related field or
  Master's Degree In Computer Science, Electrical Engineering, or related field

• Experience
  2 years Experience in software development/engineering and/or HPC systems management with PhD. or
  4 years Experience in software development/engineering and/or HPC systems management with Master's Degree.

JOB DUTIES

• Designs and implements the high-performance scientific computing infrastructure for 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