Senior Data Science Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's senior data science engineer job market spans healthcare analytics in Nashville, logistics and supply chain intelligence in Memphis, and advanced manufacturing research at Oak Ridge National Laboratory. Major employers including HCA Healthcare, FedEx, and Nissan North America have sponsored senior data science engineering roles, making Tennessee a competitive but accessible state for international candidates seeking visa sponsorship.
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Get Access To All JobsLOCATION
Memphis, TN
CATEGORY
Computational Research
DEPARTMENT
Structural Biology
SHIFT
Weekday Day
POSITION TYPE
Full Time
SCHEDULED WEEKLY HOURS
40
REQ #
JR4886
JOB DESCRIPTION
The St. Jude Center of Excellence for Structural Cell Biology (CoE-SCB) is seeking an innovative and highly motivated Senior Computational Scientist / Scientific Software Engineer to develop next-generation computational infrastructure for cryo-electron tomography (cryo-ET), and structural cell biology workflows.
This position sits at the interface of structural biology, high-performance computing (HPC), machine learning, and scientific software engineering. The successful candidate will work closely with experimental scientists, computational researchers, and HPC engineers to design scalable, automated, and reproducible pipelines that support cryo-ET workflows ranging from data collection and preprocessing to segmentation, subtomogram averaging, and large-scale data analysis.
The role offers the opportunity to help shape the future computational ecosystem of the CoE-SCB and contribute to transformative imaging workflows spanning molecular to cellular structural biology.
Learn more about the CoE-SCB and our research vision at:
https://www.stjude.org/research/centers-of-excellence/center-of-excellence-for-structural-cell-biology.html
ENVIRONMENT
The Center of Excellence for Structural Cell Biology (CoE-SCB) at St. Jude is building advanced multimodal and multiscale imaging workflows integrating cryoEM, cryo-ET, cryo-volume EM, cryo-FIB milling, machine learning, and large-scale computational analysis. The successful candidate will work within a highly collaborative environment alongside world-class scientists, computational engineers, and technology developers to create next-generation platforms for structural cell biology.
KEY RESPONSIBILITIES
- Design, develop, and maintain scalable computational pipelines for cryo-ET workflows with a high level of automation and reproducibility.
- Architect software solutions optimized for local workstations, HPC systems, and cloud-based environments.
- Refactor existing analysis workflows into modular, maintainable, and reusable software components and libraries.
- Develop user-friendly APIs and interfaces for data analysis, workflow management, and visualization.
- Work closely with CoE-SCB scientists, faculty, and HPC engineers to identify computational bottlenecks and implement scalable, high-performance solutions for cryo-ET workflows.
- Develop and optimize workflows for large-scale cryo-ET datasets, including preprocessing, tomographic reconstruction, segmentation, template matching, subtomogram averaging, and AI/ML-assisted analysis.
- Evaluate, benchmark, and integrate emerging computational tools and technologies into existing workflows.
- Implement robust software engineering practices, including version control, testing, profiling, optimization, logging, and error handling.
- Scale local analysis workflows to distributed HPC and cloud infrastructures while ensuring efficient data handling and storage integration.
- Assist with software deployment, troubleshooting, and standardization across the CoE-SCB computational ecosystem.
- Maintain clear and comprehensive code documentation and user documentation.
- Participate in cross-disciplinary projects involving machine learning, image analysis, visualization, and large-scale structural biology datasets.
- Contribute to the strategic development of computational infrastructure supporting multimodal and multiscale structural cell biology workflows.
PREFERRED SKILLS AND EXPERIENCE
- Advanced proficiency in Python, Linux, and shell scripting.
- Strong software engineering and system design experience across local, HPC, and cloud computing environments.
- Experience developing scientific software pipelines and automation frameworks.
- Expertise in handling and processing large scientific datasets, including efficient storage, retrieval, and distributed processing strategies.
- Experience with SQL databases and Object-Relational Mapping (ORM) frameworks.
- Familiarity with Cryo-EM/Cryo-ET software ecosystems such as RELION, CryoSPARC, Warp, AreTomo, Dynamo, PyTom, EMAN2, SerialEM, Tomography 5, or related tools.
- Experience with workflow orchestration, containerization, or distributed computing technologies is highly desirable.
- Experience developing user interfaces and web-based tools using modern web technologies (HTML, CSS, JavaScript) is beneficial.
- Familiarity with machine learning and AI-based image analysis approaches is desirable.
- Strong commitment to reproducible research, maintainable codebases, and collaborative software development practices.
- Excellent communication and collaboration skills in multidisciplinary scientific environments.
JOB RESPONSIBILITIES:
- Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods.
- Identify, process, organize, interpret, review, and report relevant data.
- Direct data collection.
- Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
- Regularly train and oversee the work of others in computational research and procedures.
- 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:
- Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
- Master's degree or PhD preferred.
MINIMUM EXPERIENCE:
- Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
- Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
- Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
- Prior experience in computational research techniques and processes.
- Proven performance in earlier role/comparable role.
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 $104,000 - $186,160 per year for the role of Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development.
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.
LOCATION
Memphis, TN
CATEGORY
Computational Research
DEPARTMENT
Structural Biology
SHIFT
Weekday Day
POSITION TYPE
Full Time
SCHEDULED WEEKLY HOURS
40
REQ #
JR4886
JOB DESCRIPTION
The St. Jude Center of Excellence for Structural Cell Biology (CoE-SCB) is seeking an innovative and highly motivated Senior Computational Scientist / Scientific Software Engineer to develop next-generation computational infrastructure for cryo-electron tomography (cryo-ET), and structural cell biology workflows.
This position sits at the interface of structural biology, high-performance computing (HPC), machine learning, and scientific software engineering. The successful candidate will work closely with experimental scientists, computational researchers, and HPC engineers to design scalable, automated, and reproducible pipelines that support cryo-ET workflows ranging from data collection and preprocessing to segmentation, subtomogram averaging, and large-scale data analysis.
The role offers the opportunity to help shape the future computational ecosystem of the CoE-SCB and contribute to transformative imaging workflows spanning molecular to cellular structural biology.
Learn more about the CoE-SCB and our research vision at:
https://www.stjude.org/research/centers-of-excellence/center-of-excellence-for-structural-cell-biology.html
ENVIRONMENT
The Center of Excellence for Structural Cell Biology (CoE-SCB) at St. Jude is building advanced multimodal and multiscale imaging workflows integrating cryoEM, cryo-ET, cryo-volume EM, cryo-FIB milling, machine learning, and large-scale computational analysis. The successful candidate will work within a highly collaborative environment alongside world-class scientists, computational engineers, and technology developers to create next-generation platforms for structural cell biology.
KEY RESPONSIBILITIES
- Design, develop, and maintain scalable computational pipelines for cryo-ET workflows with a high level of automation and reproducibility.
- Architect software solutions optimized for local workstations, HPC systems, and cloud-based environments.
- Refactor existing analysis workflows into modular, maintainable, and reusable software components and libraries.
- Develop user-friendly APIs and interfaces for data analysis, workflow management, and visualization.
- Work closely with CoE-SCB scientists, faculty, and HPC engineers to identify computational bottlenecks and implement scalable, high-performance solutions for cryo-ET workflows.
- Develop and optimize workflows for large-scale cryo-ET datasets, including preprocessing, tomographic reconstruction, segmentation, template matching, subtomogram averaging, and AI/ML-assisted analysis.
- Evaluate, benchmark, and integrate emerging computational tools and technologies into existing workflows.
- Implement robust software engineering practices, including version control, testing, profiling, optimization, logging, and error handling.
- Scale local analysis workflows to distributed HPC and cloud infrastructures while ensuring efficient data handling and storage integration.
- Assist with software deployment, troubleshooting, and standardization across the CoE-SCB computational ecosystem.
- Maintain clear and comprehensive code documentation and user documentation.
- Participate in cross-disciplinary projects involving machine learning, image analysis, visualization, and large-scale structural biology datasets.
- Contribute to the strategic development of computational infrastructure supporting multimodal and multiscale structural cell biology workflows.
PREFERRED SKILLS AND EXPERIENCE
- Advanced proficiency in Python, Linux, and shell scripting.
- Strong software engineering and system design experience across local, HPC, and cloud computing environments.
- Experience developing scientific software pipelines and automation frameworks.
- Expertise in handling and processing large scientific datasets, including efficient storage, retrieval, and distributed processing strategies.
- Experience with SQL databases and Object-Relational Mapping (ORM) frameworks.
- Familiarity with Cryo-EM/Cryo-ET software ecosystems such as RELION, CryoSPARC, Warp, AreTomo, Dynamo, PyTom, EMAN2, SerialEM, Tomography 5, or related tools.
- Experience with workflow orchestration, containerization, or distributed computing technologies is highly desirable.
- Experience developing user interfaces and web-based tools using modern web technologies (HTML, CSS, JavaScript) is beneficial.
- Familiarity with machine learning and AI-based image analysis approaches is desirable.
- Strong commitment to reproducible research, maintainable codebases, and collaborative software development practices.
- Excellent communication and collaboration skills in multidisciplinary scientific environments.
JOB RESPONSIBILITIES:
- Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods.
- Identify, process, organize, interpret, review, and report relevant data.
- Direct data collection.
- Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
- Regularly train and oversee the work of others in computational research and procedures.
- 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:
- Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
- Master's degree or PhD preferred.
MINIMUM EXPERIENCE:
- Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
- Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
- Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
- Prior experience in computational research techniques and processes.
- Proven performance in earlier role/comparable role.
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 $104,000 - $186,160 per year for the role of Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development.
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.
Senior Data Science Engineer Job Roles in Tennessee
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Search Senior Data Science Engineer Jobs in TennesseeSenior Data Science Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Tennessee?
Healthcare and logistics companies lead sponsorship activity for senior data science engineers in Tennessee. HCA Healthcare and Vanderbilt University Medical Center sponsor roles in clinical data science and predictive analytics in Nashville. FedEx and its technology subsidiaries in Memphis hire for supply chain and operations data science. Oak Ridge National Laboratory and Tennessee Valley Authority also sponsor senior data science engineering positions, particularly for machine learning and energy systems work.
Which visa types are most common for senior data science engineer roles in Tennessee?
The H-1B visa is the most common visa for senior data science engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with advanced degrees may also encounter EB-2 pathways for permanent residence. Employers at federally funded institutions like Oak Ridge National Laboratory sometimes support J-1 visa or TN visas depending on candidate nationality and role structure.
How to find senior data science engineer visa sponsorship jobs in Tennessee?
Migrate Mate is the most direct way to find senior data science engineer visa sponsorship jobs in Tennessee. The platform filters specifically for roles where employers have demonstrated a history of sponsoring work visas, saving you from applying to positions where sponsorship is unlikely. Focus your search on Nashville's healthcare technology corridor and Memphis's logistics sector, where sponsorship activity for senior data science engineering roles is most concentrated.
Which cities in Tennessee have the most senior data science engineer sponsorship jobs?
Nashville accounts for the largest share of senior data science engineer sponsorship activity in Tennessee, driven by its healthcare IT sector and a growing technology startup scene. Memphis is the second most active city, with FedEx and related logistics companies hiring for data science roles in operations and supply chain optimization. Knoxville and the Oak Ridge corridor represent a smaller but consistent source of sponsorship, particularly for research-oriented senior data science engineering positions.
Are there state-specific factors that affect visa sponsorship for senior data science engineers in Tennessee?
Tennessee has no state income tax, which can affect how employers structure total compensation packages for sponsored roles, though this does not change the federal H-1B prevailing wage requirements that employers must meet. The state's concentration in healthcare, logistics, and advanced manufacturing means senior data science engineers with domain experience in those industries are particularly competitive. University pipelines from Vanderbilt University and the University of Tennessee in Knoxville also feed into local employer sponsorship programs.
What is the prevailing wage for sponsored senior data science engineer jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.