LDA – HPC Computational Scientist

Website University of Tennessee, Knoxville

Research Consultant, HPC Computational Scientist – Bioinformatics
Limited Duration Appointment

The University of Tennessee, Knoxville
Office of Information Technology, High Performance and Scientific Computing Group
Market Range 13

Due to regulatory requirements the successful candidate(s) must be a U. S. citizen or legal permanent resident with a green card.

The Office of Information Technology at The University of Tennessee Knoxville seeks qualified applicants for an HPC Computational Scientist – Bioinformatics and the successful candidate will provide a key role in scientific computing support for users of the research cyberinfrastructure used to support the research mission of the University focusing on bioinformatics and related research including, but not limited to, analysis of datasets generated from various biological platforms with applications to genomics, transcriptomics, proteomics, metabolomics, etc. OIT operates computing resources and provides support to University researchers and their collaborators giving them the capability to investigate and solve cutting-edge and computationally challenging problems. Under the guidance the Director, High Performance and Scientific Computing, this individual will have an in-depth knowledge of and support all aspects of scientific computing and will be part of a team that supports and manages centralized high performance computing resources, a secure research computing environment, and works with faculty and researchers to make effective use of the resources for research.


Major Duties/Responsibilities

The successful candidate will work closely with researchers to assist them in using the computational resources effectively and efficiently with a focus on bioinformatics and related researchers. The position will work with users and collaborators to develop, port, and optimize scientific applications to work with the research cyberinfrastructure provided by OIT. Responsibilities of this position includes, but is not limited to: work with and provide guidance to researchers to develop, port, and optimize scientific applications to work with the provided research cyberinfrastructure; consult with researchers on simulation, workflow and application design and development; support algorithm and application optimization; support future technology hardware and application benchmarking; provide parallel computing support; support researchers in selecting computer software and hardware to solve their research problems; provide advanced analysis and advanced problem solving to solve computational science problems; install and test scientific computing compilers, libraries, and tools; develop web-based documentation and training content; develop and teach workshops on best practices of using the research cyberinfrastructure including use of the resource management system to submit and monitor jobs, application optimization, and effective use of cpu, GPU, memory, and storage resources; provide technical support and user application and scientific computing support as needed; work with other OIT groups, such as, Networking Services, Help Desk, and Systems to support the continual, efficient, and effective use of the research cyberinfrastructure; work independently and prioritize assignments with minimal supervision, as a member of a team, and as a team leader.


Required Qualifications

  • U. S. citizen or legal permanent resident with a green card.
  • A Master’s degree in Computer Science or other related scientific and/or engineering discipline
  • Two years’ experience in support of bioinformatics research (including, but not limited to, genomics, transcriptomics, proteomics, and metabolomics)
  • Three years’ experience with one or more areas of numerical methods, data analytics, parallel algorithms, HPC software development, MPI, Fortran, or C/C++
  • Three years’ experience with Linux in an HPC and/or research environment
  • Three years’ experience with supporting a scientific computing environment and installing applications, compilers, libraries, and tools
  • Excellent writing, communication, and interpersonal skills
  • The ability to work independently and prioritize assignments with minimal supervision, as a member of a team, and as a team leader
  • Experience being responsive to researcher inquiries while handling these requests with courtesy and professionalism

Desired Qualifications:

  • Ph. D. in Computational Science or in a scientific and/or engineering discipline is preferred
  • Experience in working with computationally challenging science and bioinformatics approaches, algorithms, and tools
  • Use and/or experience with genome-based systems biology tools and applications available for network analysis, pathway construction, genome alignments, assemblies, tree viewers and phylogenies, microarray and RNA-Seq viewers, genome browsers, visualization tools for comparative genomics, and tools for building visual prototypes.
  • Teaching and/or workshop development experience
  • Experience with job submission and monitoring with SLURM and/or Open OnDemand and/or Jupyter Notebooks
  • Experience with genomic data analysis
  • Experience with one or more of the following post sequencing workflow tasks: data cleaning, filtering, assembly, alignment (de novo or reference-based), variant calling, annotation and functional predictions
  • Experience with one or more of Hadoop, Apache Spark, Python, and Tensorflow

UTK is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA Employer.

Research Professional

Primary Location

Vc Info Infrastructure # Oit General


Campus/Institute Knoxville

The University of Tennessee does not discriminate on the basis of race, sex, color, religion, national origin, age, disability or veteran status in provision of educational programs and services or employment opportunities and benefits. This policy extends to both employment by and admission to the University. The University does not discriminate on the basis of race, sex or disability in its education programs and activities pursuant to the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act (ADA)of 1990. Inquiries and charges of violation concerning Title VI, Title IX, Section 504, ADA or the Age Discrimination in Employment Act (ADEA) or any of the other above referenced policies should be directed to the Office of Equity and Diversity (OED), 1840 Melrose Avenue, Knoxville, TN 37996-3560, telephone (865) 974-2498 (V/TTY available) or 974-2440. Requests for accommodation of a disability should be directed to the ADA Coordinator at the UTK Office of Human Resources, 600 Henley Street, Knoxville, TN37996-4125.

To apply for this job please visit ut.taleo.net.