Computational Scientist - Bioinformatics


Job Number: 18000087
Category: Research & Laboratory
Location: 5323 Harry Hines Blvd, Dallas, TX
Department: 245101 - Bioinformatics
Full/Part Time/PRN: Day Job
Regular/Temporary: Regular
Schedule: Full-time


This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information


Salary Negotiable

Experience and Education

Bachelor's degree in Computer Science or a related field and three (3) years of scientific software development/analysis. Experience with HPC is a strong plus. Master's or PhD preferred. Will consider demonstrated success in publishing computational science results in lieu of experience.

Job Duties

  • Support faculty and students in adapting computational strategies to the specific features of the HPC infrastructure. Working with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and database servers.
  • Develop software and methods to explore, analyze and visualize biological data sets including genomic, imaging and protein structure data.
  • Participate in the design and execution of collaborative research studies in biomedical informatics.
  • Train users on the application and usage of computational systems to help accelerate the pace of scientific discovery.
Additional Details

The Bioinformatics Core Facility (BICF) at UT Southwestern consists of a team of highly skilled computational biologists, biostatisticians, and scientific programmers who support data analysis projects on campus. We specialize in developing bioinformatics tools and methods for high-dimensional data analysis. This work involves the use of the latest machine learning algorithms with a focus on improving existing methods using integrative data analysis methods.

Other Experience
  • 3+ years of hands-on experience in applying core Machine Learning methodologies: Artificial Neural Networks/ Deep Learning, Support Vector Machines, Matrix Factorization, Natural Language processing, Decision trees, Classification, Clustering, Predictive Analytics, Regression.
  • Bachelor’s, Master’s, or PhD in Computer Science or related field with experience and demonstrable work in machine learning.
  • Proficient in Linux command lines, bash scripting, and revision control e.g. Git or SVN.
  • Demonstrated strength in both supervised and unsupervised learning techniques.
  • Experience with standard implementations of Machine Learning algorithms through libraries/packages/APIs (e.g. scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc.).
  • Experience in developing database data-structures using MySQL, Postgres, Oracle, MongoDB, etc.
  • Experience with handling and combining large data-sets.
  • Familiar with Data Science life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), and Model Generation.
Other Job Responsibilities
  • Work closely with faculty and staff to design and implement data preprocessing, integration, and analysis solutions for biological data sets including genomic, imaging and protein structure data
  • Contribute to writing and reviewing drafts of reports, posters, and manuscripts, including writing up interpretation of analysis results and description of statistical methods used
  • Develop Machine Learning/Statistical Model algorithms applied to genomics, imagining, proteomics, and clinical data.
  • Transform biological research data into usable features.
  • Build automated analysis/visualization tools.
  • Train users on the application and usage of computational systems to help accelerate the pace of scientific discovery.

UTSouthwestern Medical Center is committed to 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; religion; national origin; gender, including sexual harassment; age; disability; citizenship; and veteran status. In addition, it is UTSouthwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression.