Explore 2 junior python developer jobs from 2 hiring companies in Forest Acres, SC, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer Jobs

Savannah River National Laboratory

State of South Carolina

Onsite

<h2>About the Department</h2>Post Doctoral FellowDepartment: ASPH Health Promotion, Education and BehaviorPart/Full Time: Full TimeAdvertised Salary Range:About UofSCFrom the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.Advertised Job SummaryThe South Carolina Department of Health Promotion, Education, and Behavior and SmartState Center for Healthcare Quality (CHQ ) at University of South Carolina (USC ) Arnold School of Public Health invites applications for two post-doctoral fellow positions to participate in funded HIV and relevant research. These projects involve the utilization of multiple types of Big Data and advanced statistical methods in studying a variety of issues related to HIV and other health conditions, including but not limited to, community resilience, racial/ethnic disparities of HIV care continuum outcomes, transition of pediatric-to-adult HIV care, HIV associated comorbidities, aging, synthetic data generation.Required Education and ExperiencePreferred Qualifications• Doctoral (Ph.D.) degree in biostatistics, bioinformatics, or other relevant public health fields• Experience in analyzing various data, including but not limited to, electronic health records data, public health surveillance data, public health program implementation data, behavioral intervention and data from diverse sources• Proficiency in statistical and computational languages (SQL , SAAS , R, Python, etc.), skills• Knowledge of both traditional statistical analysis (e.g., logistic regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI)Knowledge/Skills/AbilitiesAbility to take initiative and work independently, high standard of work ethic, effective oral and written communication skills.Job Close Date05/23/2026Special Instructions to ApplicantPositions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by May 23, 2026.To apply, please visit: https://apptrkr.com/7065531EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.Copyright ©2025 Jobelephant.com Inc. All rights reserved.https://www.jobelephant.com/

Post Doctoral Fellow

PhD in biostatistics, bioinformatics, or related public health field; experience with EHR data and surveillance data; proficiency in SQL, R, Python; knowledge of traditional stats and Big Data analytics; strong communication.

The SRNL GEM Doctoral Research Fellow in Power Systems will contribute to SRNL’s mission of advancing the resilience and intelligence of the nation’s energy infrastructure by conducting multidisciplinary research at the intersection of power systems, physics-informed digital twins, and AI/ML. The Fellow will join a strategic workforce-development pipeline designed to address the critical national shortage of U.S. PhD scientists with expertise in dynamic and transient analysis of advanced energy systems.The Fellow will work alongside SRNL scientists and university faculty on energy-systems research topics encompassing dynamic and transient analysis of electrical, thermal, and mechanical energy systems; real-time simulation using Controller Hardware-in-the-Loop (CHIL) and Power Hardware-in-the-Loop (PHIL); and the development of physics-informed AI/ML methods and digital-twin capabilities for nuclear-SMR, grid, and renewables applications.Fellows are provided an immersive learning environment to develop into the next generation of multidisciplinary energy researchers, integrate academic coursework with hands-on national-laboratory R&amp;D, and make impactful contributions to ongoing DOE programs.Work scope may include contributions to the design and operation of CHIL/PHIL testbeds; development and validation of physics-informed machine-learning models; AI-driven digital-twin construction for cyber-physical energy systems; data-driven analysis of phasor measurement, EMS, and operational utility data; and participation in publications and conference presentations in collaboration with SRNL principal investigators and university advisors.<h3>Responsibilities</h3><div>Successful candidates will:<ul><li>Conduct original research in physics-informed digital twins, AI/ML methods, and real-time simulation of energy systems</li><li>Design, execute, and document experiments using CHIL/PHIL hardware-in-the-loop testbeds at SRNL’s Advanced Manufacturing Collaborative (AMC)</li><li>Think critically, analyze data, and integrate these skills into effective experimental design, execution, and reporting</li><li>Develop partnerships with internal team members of different backgrounds across electrical, mechanical, applied math, and physics disciplines</li><li>Effectively communicate (verbal and written) technical results, including peer-reviewed publications and conference presentations</li><li>Maintain strong academic standing while balancing SRNL research responsibilities with PhD coursework and dissertation milestones</li><li>Work safely with particular attention to quality. Comply with all SRNL, university, and DOE policies and standards</li></ul></div><h3>Qualifications</h3><div>Minimum Qualifications:<ul><li>For ability to obtain and maintain a security clearance, US Citizenship is Legally&nbsp;Required</li><li>Must be a U.S. Citizen</li><li>Bachelor’s or Master’s degree (recently earned or expected within the next term) in Electrical &amp; Computer Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a closely related discipline</li><li>Admitted to, or in the process of being admitted to, an accredited PhD program in a relevant discipline</li><li>Minimum cumulative GPA of 3.6 or higher; transcript required prior to hiring</li><li>Demonstrated research interest in power and energy systems, physics-informed digital twins, and/or AI/ML methods</li></ul>&nbsp;Preferred Qualifications:<ul><li>Admission to a PhD program at a BSRA-affiliated university (Clemson University, Georgia Institute of Technology, University of Georgia, University of South Carolina, or South Carolina State University) or at a university with an existing SRNL scientist appointment (Florida State University, Virginia Tech) is preferred; candidates from other accredited engineering PhD programs will also be considered</li><li>Coursework or hands-on research experience in dynamic and transient analysis of electrical, thermal, or mechanical energy systems</li><li>Experience with real-time simulation platforms (e.g., RTDS, OPAL-RT, Typhoon HIL) and CHIL/PHIL testbeds</li><li>Familiarity with physics-informed machine learning, digital-twin development, or scientific computing frameworks</li><li>Faculty recommendation from the candidate’s prospective PhD advisor</li><li>Prior conference presentations, publications, or participation in student research teams</li></ul>&nbsp;Work Schedule and Location:<ul><li>&nbsp;Location: SRNL Advanced Manufacturing Collaborative (AMC) facility</li><li>Summer: Full-time (40 hours/week) on-site at SRNL</li><li>Academic Year: Once the candidate has met their PhD program’s residency requirements at their affiliated university, 20 hours/week at SRNL alongside coursework and dissertation research</li><li>Duration: Through PhD dissertation defense (typically 3–5 years)</li></ul></div><h2>Company</h2><div>"We put science to work!"&nbsp;
 
Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy’s (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation’s environmental, energy, and national security challenges.
 
Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce.&nbsp;
 
Some of the *Benefits offered to employees include:
*Benefits vary based upon employment status

<ul>
 <li>Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed</li>
 <li>Short- &amp; Long-Term Disability (company paid)</li>
 <li>Life Insurance Non-Contributary 1X salary (company paid)</li>
 <li>AD&amp;D Non-contributary 1x salary (company paid)</li>
 <li>Savings &amp; Investment plan:</li>
 <li>
 <ul>
 <li>Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting</li>
 <li>Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match)</li>
 </ul></li>
 <li>Contributory Life Insurance up to 5x Salary with $1M Cap</li>
 <li>Contributory AD&amp;D (employee, spouse and children)</li>
 <li>Paid Time Off</li>
 <li>Employee Assistance Plan</li>
 <li>SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions.&nbsp;</li>
</ul>

For more information about our benefits, working here, and living here, visit the “About” tab at <a target="_blank" rel="nofollow">www.srnl.doe.gov</a>.
 
BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at <a target="_blank" rel="nofollow">SRNLRecruiting@srnl.doe.gov</a>&nbsp;with any questions regarding the hiring process or to request an accommodation.</div>

GEM - Graduate Research Associate, Post Masters - Power Systems

Graduate Research Associate

US citizenship required; PhD program admission preferred; BS or MS in engineering/physics; GPA 3.6+; research in power/energy, digital twins, AI/ML; on-site at SRNL; 3–5 year duration.

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