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Computational Material Science Jobs in Tennessee

Thecentermemphis

Senior Computational Engineer

Memphis, TN · On-site

$86 - $155/hr

Success in this role requires deep and diverse expertise in computer science and computational ... Develop and provide documentation and training materials on applications, tools, and pipelines ...

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Computational Material Science information

What is a computational material science?

A Computational Material Science job involves using computer simulations, modeling techniques, and data analysis to study and predict the properties of materials. Professionals in this field leverage methods like density functional theory (DFT), molecular dynamics, and machine learning to design new materials and optimize existing ones for various applications, including electronics, energy, and manufacturing. They often work in academia, research institutions, or industries such as aerospace, semiconductors, and pharmaceuticals. The role requires expertise in materials science, physics, chemistry, and programming, typically using tools like Python, MATLAB, or specialized simulation software.

What are typical daily tasks for a computational material science professional?

Daily tasks for a Computational Material Science professional often include developing and running computer simulations to investigate material properties, analyzing data from these simulations, and collaborating with experimental scientists to compare computational predictions with laboratory results. You may spend significant time programming, writing reports, and presenting your findings to colleagues or industry partners. You'll typically work within a multidisciplinary team, where clear communication and project coordination are crucial. The balance between independent computational work and collaborative meetings helps ensure innovative solutions to complex material challenges.

What are the key skills and qualifications needed to thrive in computational material science?

To thrive in Computational Material Science, you need a strong background in materials science, physics, and computational modeling, usually supported by an advanced degree such as a Master's or Ph.D. Proficiency with simulation software (like VASP, LAMMPS, or Quantum ESPRESSO), high-performance computing environments, and programming languages like Python or C++ is often required. Strong analytical thinking, problem-solving ability, and effective teamwork and communication skills help set professionals apart in this field. These skills are essential for designing, analyzing, and optimizing materials using computational techniques, often as part of collaborative, interdisciplinary research teams.

What jobs can I get with a computational material science degree?

A computational material science degree prepares individuals for roles such as materials scientist, computational researcher, or simulation engineer. These jobs often involve using modeling software, programming skills, and knowledge of materials properties to develop new materials or improve existing ones in industries like aerospace, electronics, and energy. Additional certifications or experience with tools like MATLAB, Python, or molecular dynamics software can enhance job prospects.

What are the most commonly searched types of Computational Material Science jobs in Tennessee?

The most popular types of Computational Material Science jobs in Tennessee are:

What are popular job titles related to Computational Material Science jobs in Tennessee?

For Computational Material Science jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Computational Material Science jobs in Tennessee look for?

The top searched job categories for Computational Material Science jobs in Tennessee are:

Computational Material Science jobs near you
Infographic showing various Computational Material Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Senior Computational Engineer

St. Jude Children's Research Hospital

Memphis, TN • On-site

$101K - $139K/yr

Full-time

Posted 6 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,061 rated hospitals

Job description

St. Jude Children's Research Hospital is seeking a Senior Computational Engineer to design, implement, and support advanced computing solutions for research in support of the St. Jude mission. This role is a key technical contributor within High Performance Research Computing (HPRC), working closely with researchers to design efficient processes, infrastructure, software, and workflows for data acquisition and processing. Success in this role requires deep and diverse expertise in computer science and computational technologies to address the complexities of large-scale, data-intensive scientific research and meet the growing demands of AI/ML training and inference workloads.
The successful candidate will bring strong computational and software engineering skills and an ability to independently solve complex technical problems. The Senior Computational Engineer will work across technologies that span high-performance computing (HPC), cloud computing, research software engineering, artificial intelligence and machine learning, and advanced data management. Experience supporting scientific environments involving bioinformatics, genomics, imaging, structural biology, computational biology, or related research domains is highly desirable.
Job Responsibilities:
  • Collaborate with investigators, research staff, stakeholders, users, subject matter experts, and solution architects to understand research needs for sustainable development, implementation, and operation of HPCF systems
  • Develop, deploy, optimize, and maintain scientific applications, computational, and visualization tools, data processing pipelines, and programming libraries on HPCF systems
  • Support investigators and research staff for porting, parallelizing, testing, debugging, and enhancing application codes and scripts to run on HPCF systems
  • Develop and provide documentation and training materials on applications, tools, and pipelines running on HPCF systems
  • Conduct testing and evaluation of new computing technologies including data processing and visualization systems/platforms
  • Work with the HPCF staff to develop HPCF utilization metrics, and capture, analyze and report utilization of HPCF systems
  • Assist in the development and implementation of plans to increase utilization of the HPCF systems and collaborations among users
  • Perform other duties as assigned to meet the goals and objectives of the department and institution.
  • Maintains regular and predictable attendance.

Minimum Education and/or Training:
  • Master's degree in computer science, data science, information science, mathematics or a related field required.
  • PhD in computer science, data science, information science, mathematics or a related field preferred.

Minimum Experience:
  • Minimum requirement: 4+ years of experience developing, optimizing, or maintaining scientific or computational applications.
  • Graduate School projects or assistantships can count towards experience requirement.
  • Experience designing and developing computational pipelines, workflows, or software for high-performance computing systems, including workloads involving AI/ML training and inference is highly preferred.
  • Experience optimizing software and computational workflows for performance, scalability, and efficient execution on HPC and AI/ML systems is highly preferred.
  • Experience developing solutions for efficiently managing and processing large scientific datasets is highly preferred.
  • Experience collaborating effectively with researchers to understand scientific requirements and translate them into computational solutions is highly preferred.
  • Experience developing computational workflows for life sciences or other data-intensive scientific domains is highly preferred.
  • Demonstrated ability to deliver complex projects.
  • Experience collaborating across disciplines.

Special Skills, Knowledge and Abilities:
  • Demonstrated working knowledge of scripting/computing languages (e.g. C/C++, Python, R, MATLAB), and parallel programming (e.g. OpenMP, MPI, Pthreads) to address complex requirements.
  • Independently translates understanding of business/research needs into computational plans and data workstreams within own area.
  • Leads critical/complex projects and analyses in line with computational plans to support business outcomes.
  • Shows ability to analyze, debug, tune, optimize and port scientific application codes.
  • Promptly and effectively responds to customer queries and requests.
  • Explores optimal solutions for customer needs.
  • Escalates/redirects effectively for quicker customer support.
  • Is aware of interdependencies across work and considers all parts of the work and its impact while executing own work.
  • Collaborates across scrum teams and contractors to deliver common team goals.
  • Navigates and flexes work style to requirements that can change frequently, continues to communicate and influence others.
  • Effectively relays understanding of diverse perspectives.
  • Can handle communication upwards and downwards as needed.
  • Presents information in a clear, well thought out way and tailored to the audience.
  • Shows support for the new direction even when the details have not been finalized.
  • Uses a data-driven approach to spot early indications of underperformance and takes corrective actions. Celebrates successes.
  • Works with partners in their function to find the best solutions that align with functional priorities. Works effectively to find solutions.
  • Ability to look at data more critically and draw meaningful conclusions. Conducts root-cause analysis as needed.
  • Quickly rebounds from setbacks, including creating viable plans to move forward.
  • Helps others understand the need for change and adapt to it.

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Senior Computational Engineer.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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