Phd Biomedical Data Scientist Jobs (NOW HIRING)

WHY UT SOUTHWESTERN?
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! 
JOB SUMMARY
Works under broad direction to provide and oversee the analysis and development of algorithms and software for clinical and/or basic research problems. Oversees and participates in programs to impact data acquisition, management, and analysis in basic, translational, and clinical research, including clinical trials. 
This position supports advanced data science and computational research across multiple projects within the Biostatistics and Data Science Core (BDSC). The role emphasizes artificial intelligence, machine learning, natural language processing, large language models (LLMs), and other emerging computational methods applied to clinical and biomedical research. Experience working with complex health care data, high dimensional bioinformatics data, and multimodal omics data, as well as developing reproducible analytic or AI based solutions, is highly desirable.

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, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or 
  Master's Degree M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or 
  Bachelor's Degree B.S. with demonstrated experience in broadly defined areas of bioinformatics 
   

• Experience
  2 years of post-graduation experience in data analysis and/or scientific software development with PhD 
  4 years of post-graduation experience in data analysis and/or scientific software development with Master's degree 
  6 years of post-graduation experience in data analysis and/or scientific software development with Bachelor's degree 
   

JOB DUTIES

• Analyzes and develops formalisms, algorithms and software for applications in biomedical research.
• Develops and maintains software tools and infrastructure for resolving specific problems.
• Oversees the development, testing and revision of programs in a team with diverse bioinformatics expertise.
• Trains users and other personnel in analyzing, defining and resolving computational problems.
• Performs other duties as assigned.

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.