Explore 3 junior python developer jobs from 1 hiring companies in Linntown, PA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer Jobs

Penn State University

Onsite

Hybrid

<h1>APPLICATION INSTRUCTIONS:</h1><ul><li><h2>CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please <a href="https://www.myworkday.com/psu/d/inst/13102!CK5mGhIKBggDEMenAhIICgYI1A0Q1QI~*qyZ5PNog5Ug~/cacheable-task/2998$46522.htmld#backheader&#61;true" target="_blank">login to Workday</a> to complete the<a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ" target="_blank"> internal application process</a>. Please do not apply here, apply internally through Workday. </h2></li><li><h2>CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please <a href="https://nam10.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.myworkday.com%2Fpsu%2Fd%2Finst%2F13102!CK5mGhIKBggDEMenAhIICgYI1A0QkwE~%2Fcacheable-task%2F23748%245.htmld%23TABINDEX%3D0&amp;data&#61;04%7C01%7Crkh108%40psu.edu%7C4eae4f0ec9854dd03b6808d9663d0c90%7C7cf48d453ddb4389a9c1c115526eb52e%7C0%7C0%7C637653234648637442%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata&#61;wChxz3SXc%2F99%2BgXQFsovztGrTOzodVW2mRVTZHPgZrA%3D&amp;reserved&#61;0" target="_blank">login to Workday</a> to complete the <a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg" target="_blank">student application process.</a> Please do not apply here, apply internally through Workday.</h2></li><li><h2>If you are NOT a current employee or student, please click “Apply” and complete <a href="https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf" target="_blank">the application process for external applicants</a>.</h2></li></ul> Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see <a target="_blank" href="https://hr.psu.edu/current-employee/flexible-work-arrangements/out-of-state-notice?utm_source&#61;workday&amp;utm_medium&#61;req&amp;utm_campaign&#61;Oct23&amp;utm_id&#61;out-of-state">Notice to Out of State Applicants</a>.  JOB DESCRIPTION AND POSITION REQUIREMENTSPenn State College of Medicine is seeking two highly motivated graduate student interns to join a vibrant group of AI scientists for a summer research experience focused on artificial intelligence in clinical informatics. This internship is ideal for someone with strong analytical and technical skills who is excited to work at the intersection of machine learning, healthcare data, and translational clinical research.The interns will contribute to ongoing projects at the intersection of artificial intelligence, healthcare data, and clinical research, under the mentorship of Dr. Abedi and Dr. Vafaei Sadr (AI faculties) and Dr. Zand (Neurologist). This is an excellent opportunity for any graduate student interested in applying machine learning and data science methods to clinically meaningful problems.Responsibilities may include:<ul><li>Assisting with clinical data analysis and preprocessing</li><li>Developing and evaluating AI and machine learning models</li><li>Supporting research in predictive modeling and translational clinical informatics</li><li>Contributing to presentations, abstracts, or manuscripts</li><li>Participating in team meetings and interdisciplinary collaboration</li></ul>Preferred qualifications:<ul><li>Current enrollment in a master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field</li><li>Experience with Python and machine learning methods</li><li>Interest in AI applications in healthcare and clinical research</li><li>Strong analytical and communication skills</li></ul>This position is well suited for a student with a strong interdisciplinary background and an interest in advancing AI in medicine through collaborative research. BACKGROUND CHECKS/CLEARANCESEmployment with the University will require successful completion of background check(s) in accordance with University policies.   CAMPUS SECURITY CRIME STATISTICS<div>Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review <a target="_blank" href="https://police.psu.edu/annual-security-reports">here</a>. EEO IS THE LAWPenn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. </div>Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. <a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf">Federal Contractors Labor Law Poster</a><a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/PA-State-Labor-Law-Poster.pdf">PA State Labor Law Poster</a><a target="_blank" href="https://policy.psu.edu/">Penn State Policies</a><a target="_blank" href="https://www.psu.edu/copyright-information">Copyright Information</a><a target="_blank" href="https://universityethics.psu.edu/reporting-at-penn-state">Hotlines</a>

Part-time Research Assistant

Research Assistant

Graduate student intern with Python and machine learning experience; strong analytical and communication skills; interest in AI in healthcare.

<h1>APPLICATION INSTRUCTIONS:</h1><ul><li><h2>CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please <a href="https://www.myworkday.com/psu/d/inst/13102!CK5mGhIKBggDEMenAhIICgYI1A0Q1QI~*qyZ5PNog5Ug~/cacheable-task/2998$46522.htmld#backheader&#61;true" target="_blank">login to Workday</a> to complete the<a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ" target="_blank"> internal application process</a>. Please do not apply here, apply internally through Workday. </h2></li><li><h2>CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please <a href="https://nam10.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.myworkday.com%2Fpsu%2Fd%2Finst%2F13102!CK5mGhIKBggDEMenAhIICgYI1A0QkwE~%2Fcacheable-task%2F23748%245.htmld%23TABINDEX%3D0&amp;data&#61;04%7C01%7Crkh108%40psu.edu%7C4eae4f0ec9854dd03b6808d9663d0c90%7C7cf48d453ddb4389a9c1c115526eb52e%7C0%7C0%7C637653234648637442%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata&#61;wChxz3SXc%2F99%2BgXQFsovztGrTOzodVW2mRVTZHPgZrA%3D&amp;reserved&#61;0" target="_blank">login to Workday</a> to complete the <a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg" target="_blank">student application process.</a> Please do not apply here, apply internally through Workday.</h2></li><li><h2>If you are NOT a current employee or student, please click “Apply” and complete <a href="https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf" target="_blank">the application process for external applicants</a>.</h2></li></ul> Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see <a target="_blank" href="https://hr.psu.edu/current-employee/flexible-work-arrangements/out-of-state-notice?utm_source&#61;workday&amp;utm_medium&#61;req&amp;utm_campaign&#61;Oct23&amp;utm_id&#61;out-of-state">Notice to Out of State Applicants</a>.  JOB DESCRIPTION AND POSITION REQUIREMENTSThe College of Earth and Mineral Sciences, John and Willie Leone Family Department of Energy and Mineral Engineering is seeking applicants for part-time job of Research Assistant.Job duties to include:Develop a data-driven, physics-informed modeling framework to improve the predictive capability of population balance models (PBMs) for stirred media milling. The project addresses a key limitation of conventional PBMs, which rely on empirical selection, breakage, and classification functions that are typically calibrated using bulk particle size distribution data and do not explicitly capture the complex, heterogeneous physics inside the mill.The research will integrate DEM-CFD simulation data to resolve the underlying microscale mechanisms governing particle breakage. A physics-informed graph neural network (PI-GNN) framework will be constructed, where the mill domain is represented as a spatial graph. In this representation, nodes correspond to coarse-grained spatial regions, and edges capture local transport and interaction pathways.The PI-GNN will be trained to learn spatially distributed PBM closure terms using local physical descriptors obtained from DEM-CFD simulations, including solids fraction, velocity fields, shear rate, pressure, shear stress, granular temperature, contact density, collision frequency, and energy dissipation. These learned closures will then be embedded into a PBM solver to predict particle size distribution evolution and to identify high-energy breakage regions within the mill.The overall objective is to establish a multiscale modeling framework that links particle-scale physics with macroscale milling performance, enabling more accurate and physically grounded predictions of grinding efficiency. This work will serve as a proof-of-concept for incorporating machine learning–based closures into mechanistic comminution models.Compensation:The starting rate for this job is $41.19. BACKGROUND CHECKS/CLEARANCESEmployment with the University will require successful completion of background check(s) in accordance with University policies.   CAMPUS SECURITY CRIME STATISTICS<div>Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review <a target="_blank" href="https://police.psu.edu/annual-security-reports">here</a>. EEO IS THE LAWPenn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. </div>Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. <a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf">Federal Contractors Labor Law Poster</a><a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/PA-State-Labor-Law-Poster.pdf">PA State Labor Law Poster</a><a target="_blank" href="https://policy.psu.edu/">Penn State Policies</a><a target="_blank" href="https://www.psu.edu/copyright-information">Copyright Information</a><a target="_blank" href="https://universityethics.psu.edu/reporting-at-penn-state">Hotlines</a>

Part-Time Research Assistant

Part-time research assistant to develop a data-driven, physics-informed PBM framework using DEM-CFD and PI-GNN; starting rate $41.19/hr.

<h1>APPLICATION INSTRUCTIONS:</h1><ul><li><h2>CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please <a href="https://www.myworkday.com/psu/d/inst/13102!CK5mGhIKBggDEMenAhIICgYI1A0Q1QI~*qyZ5PNog5Ug~/cacheable-task/2998$46522.htmld#backheader&#61;true" target="_blank">login to Workday</a> to complete the<a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ" target="_blank"> internal application process</a>. Please do not apply here, apply internally through Workday. </h2></li><li><h2>CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please <a href="https://nam10.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.myworkday.com%2Fpsu%2Fd%2Finst%2F13102!CK5mGhIKBggDEMenAhIICgYI1A0QkwE~%2Fcacheable-task%2F23748%245.htmld%23TABINDEX%3D0&amp;data&#61;04%7C01%7Crkh108%40psu.edu%7C4eae4f0ec9854dd03b6808d9663d0c90%7C7cf48d453ddb4389a9c1c115526eb52e%7C0%7C0%7C637653234648637442%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata&#61;wChxz3SXc%2F99%2BgXQFsovztGrTOzodVW2mRVTZHPgZrA%3D&amp;reserved&#61;0" target="_blank">login to Workday</a> to complete the <a href="https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg" target="_blank">student application process.</a> Please do not apply here, apply internally through Workday.</h2></li><li><h2>If you are NOT a current employee or student, please click “Apply” and complete <a href="https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf" target="_blank">the application process for external applicants</a>.</h2></li></ul><h3></h3>Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see <a href="https://hr.psu.edu/current-employee/flexible-work-arrangements/out-of-state-notice?utm_source&#61;workday&amp;utm_medium&#61;req&amp;utm_campaign&#61;Oct23&amp;utm_id&#61;out-of-state" target="_blank">Notice to Out of State Applicants</a>. This position is funded for 12 months; continuation past 12 months will be based on university need, performance, and/or availability of funding.<h3>​</h3>  POSITION SPECIFICS​The Department of Humanities at the Penn State College of Medicine in Hershey, PA is seeking a Research Data Scientist. This position develops, selects, and evaluates computational methods and statistical techniques to solve research problems; collaborates with research faculty to apply advanced simulation, data analysis, visual analytics or other computational techniques to research problems in the sciences, engineering, or other disciplines; develops computational approaches to research, such as more effective algorithms, programming methods, software tools, and underlying systems; and evaluates findings to develop new concepts, methods, processes or systems, or to develop applications of findings to new uses.<ul><li>Collaborate in the analysis and development of computational methods or procedures; independently evaluate, select, and apply appropriate methods to the specific research problems</li><li>Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques</li><li>Optimize and extend algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure</li><li>Provide consultation for and expertise with computer applications to solve research problems; perform computerized data processing operations and statistical analyses of research data; create visualizations of results</li><li>Determine feasibility of goals and objectives; ensure quality, effectiveness, and timeliness of assigned projects</li><li>May author or co-author papers, proposals, presentations, and reports</li><li>May supervise staff members, including hiring, development, and performance management</li></ul> MINIMUM EDUCATION, WORK EXPERIENCE &amp; REQUIRED CERTIFICATIONSBachelor's Degree&amp;#xa;1+ years of relevant experience; or an equivalent combination of education and experience accepted&amp;#xa;Required Certifications:&amp;#xa;None<h3></h3>  BACKGROUND CHECKS/CLEARANCESEmployment with the University will require successful completion of background check(s) in accordance with University policies.<h3></h3> Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S. SALARY &amp; BENEFITSThe salary range for this position, including all possible grades, is $61,800.00 - $89,600.00. <a target="_blank" href="https://hr.psu.edu/current-employee/compensation/staff-salary-grades-and-leveling-matrix">Salary Structure </a>- Information on Penn State&#39;s salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our <a href="https://hr.psu.edu/current-employee/benefits" target="_blank">Benefits Page</a>.CAMPUS SECURITY CRIME STATISTICSPursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review <a href="https://www.police.psu.edu/annual-security-reports" target="_blank">here</a>.EEO IS THE LAWPenn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. <a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf">Federal Contractors Labor Law Poster</a><a target="_blank" href="https://affirmativeaction.psu.edu/files/2022/01/PA-State-Labor-Law-Poster.pdf">PA State Labor Law Poster</a><a target="_blank" href="https://policy.psu.edu/">Penn State Policies</a><a target="_blank" href="https://www.psu.edu/copyright-information">Copyright Information</a><a target="_blank" href="https://universityethics.psu.edu/reporting-at-penn-state">Hotlines</a>

Research Data Scientist

Bachelor's degree and 1+ years relevant experience; develops computational methods, analyzes data, and supports research projects; may supervise.

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Junior Python Developer Jobs in Linntown, PA, US

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