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Home Based Scientific Software Developer Jobs in Tennessee

MI Softech

Software Developer

Collierville, TN · On-site

$135K/yr

NET based Software Applications. Utilize advance technologies such as HTML5, AngularJS, JavaScript ... Education Required Master's degree in Computer Science/Technology/Engineering (Any)/Business /IT or ...

MI Softech

Software Developer

Collierville, TN

$135K/yr

NET based Software Applications. Utilize advance technologies such as HTML5, AngularJS, JavaScript ... Education Required Master's degree in Computer Science/Technology/Engineering (Any)/Business /IT or ...

MI Softech

Software Developer

Collierville, TN · On-site

NET based Software Applications. Utilize advance technologies such as HTML5, AngularJS, JavaScript ... Education Required Masters degree in Computer Science/Technology/Engineering (Any)/Business /IT or ...

nLeague Services Inc

Software Developer

Nashville, TN · On-site

College or university degree in Computer Science or a related discipline Tennessee Higher Education ... based business applications built on Microsoft technologies. * Design, develop, and unit test ...

United Airlines

Junior Software Developer

Nashville, TN · On-site

$60K - $65K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ... Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on ...

Quality Manufacturing Systems, Inc.

Be Seen First

Software Developer

Nashville, TN · On-site

$75K - $140K/yr

Software Developer Position in Nashville Suburb Highlights Quality Manufacturing Systems, Inc ... Bachelor's Degree or higher in Computer Science or related technical field * Strong hands-on ...

Husch Blackwell LLP

Software Developer

Nashville, TN · On-site +1

... based application development is essential. This position collaborates with cross-functional ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ...

Husch Blackwell LLP

Software Developer

Chattanooga, TN · On-site +1

... based application development is essential. This position collaborates with cross-functional ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ...

Husch Blackwell Llp

Software Developer

Nashville, TN · On-site +1

... based application development is essential. This position collaborates with cross-functional ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ...

Husch Blackwell Llp

Software Developer

Chattanooga, TN · On-site +1

... based application development is essential. This position collaborates with cross-functional ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ...

HEALTHSTREAM INC

Software Developer

Nashville, TN · Hybrid

Work-from-home flexibility * Fitness Center Reimbursements * Streaming Good time off for ... Science is required. * 1-2 years experience/knowledge with each of the following: web-based ...

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All JobsHome Based Scientific Software Developer JobsHome Based Scientific Software Developer Jobs in Tennessee

Home Based Scientific Software Developer information

What is the difference between Home Based Scientific Software Developer vs Scientific Software Engineer?

AspectHome Based Scientific Software DeveloperScientific Software Engineer
CredentialsBachelor's or Master's in Computer Science, Physics, or related fieldsBachelor's or Master's in Computer Science, Engineering, or related fields
Work EnvironmentRemote, home-based setupTypically office or lab environment, but may include remote work
Industry UsageResearch institutions, academia, biotech, environmental agenciesResearch labs, industry R&D, government agencies
Common Search/ComparisonYesYes

The main difference is that a Home Based Scientific Software Developer primarily works remotely on scientific software projects, often in academia or research settings, while a Scientific Software Engineer may work in more traditional office or lab environments within industry or government. Both roles require similar educational backgrounds and skills, but their work settings and typical employers differ.

What are some common challenges for home-based scientific software developers and how can they be addressed?

Home-based scientific software developers often face challenges such as maintaining clear communication with research teams, managing time effectively without in-person supervision, and ensuring access to necessary computing resources. Overcoming these challenges typically involves using collaborative tools like version control systems (e.g., Git), regular video meetings, and cloud-based platforms for code sharing and testing. Establishing a structured daily routine and staying updated with scientific advancements also helps developers stay productive and connected with their team.

What are the key skills and qualifications needed to thrive as a Home Based Scientific Software Developer, and why are they important?

A Home Based Scientific Software Developer needs strong programming skills (often in Python, C++, or MATLAB), a solid background in mathematics or a scientific discipline, and typically at least a bachelor's degree in computer science, engineering, or a related field. Familiarity with scientific computing libraries, version control systems like Git, and experience with cloud-based or distributed computing platforms are commonly required. Excellent problem-solving abilities, self-motivation, and effective remote communication are vital soft skills for success in a home-based setting. These competencies ensure the developer can build reliable, efficient scientific software, collaborate virtually with researchers, and deliver solutions that advance scientific discovery.

What is a Home Based Scientific Software Developer?

A Home Based Scientific Software Developer is a professional who designs, develops, and maintains software tools used for scientific research and analysis, while working remotely from home. They often collaborate with scientists, researchers, and engineers to create programs that process data, simulate experiments, or visualize scientific phenomena. This role requires strong programming skills, knowledge of scientific principles, and the ability to work independently using remote communication tools. Home based roles offer flexibility, allowing developers to contribute to research projects and software solutions from anywhere. These professionals are essential in fields like bioinformatics, physics, chemistry, and environmental science.
What are the most commonly searched types of Scientific Software Developer jobs in Tennessee? The most popular types of Scientific Software Developer jobs in Tennessee are:
What are popular job titles related to Home Based Scientific Software Developer jobs in Tennessee? For Home Based Scientific Software Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Home Based Scientific Software Developer jobs in Tennessee look for? The top searched job categories for Home Based Scientific Software Developer jobs in Tennessee are:
What cities in Tennessee are hiring for Home Based Scientific Software Developer jobs? Cities in Tennessee with the most Home Based Scientific Software Developer job openings:
Home Based Scientific Software Developer jobs near you
Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development

Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 17 days ago

St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

62nd of 999 rated hospitals

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.
The World's Brightest Minds Always Innovate
At St. Jude Children's Research Hospital, we know what can be achieved when the brightest scientific minds face the fewest barriers. That's why we provide world-class facilities, state-of-the-art technologies, extraordinary support, and a collaborative bench-to-bedside environment where you can see firsthand how your work translates into discoveries that impact children's lives. At St. Jude, we encourage you to dream big and stop at nothing when it comes to advancing science and improving human health.
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.

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