Explore 4 junior python developer jobs from 2 hiring companies in Valley View, 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

Johnson & Johnson

Westfalia Technologies

Hybrid

Onsite

Westfalia Technologies, Inc. is seeking a motivated Vision Guided Robotics Intern to join our Research and Development team. This internship provides hands-on experience in developing intelligent software systems that enable robotic platforms to operate in industrial environments.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;

The intern will support the application of artificial intelligence, computer vision, and robotics technologies to enhance automation capabilities and contribute to vision-guided robotic systems used in material handling and warehouse automation. This role is ideal for students or recent graduates looking to apply academic knowledge to real-world robotics challenges.

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Location Requirements:&nbsp;Must live within a 50 mile radius of Westfalia Technologies Inc Headquarters and within the following states - DE, MD, NJ, PA.

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<h2>Job Functions:</h2>

<ul>
	<li>Assist in developing and testing software solutions for robotics and automation applications.</li>
	<li>Support the team in applying AI, machine learning, and computer vision techniques to solve engineering challenges.</li>
	<li>Contribute to the development and improvement of perception systems for robotic platforms.</li>
	<li>Help monitor and evaluate system performance, including testing models and analyzing results.</li>
	<li>Collaborate with cross-functional teams, including software and engineering, on project-based work.</li>
	<li>Document project work, findings, and progress for internal stakeholders.</li>
	<li>Stay current on emerging technologies and best practices in AI, robotics, and computer vision.</li>
	<li>Protect confidential and proprietary information.</li>
	<li>Perform other related duties as assigned</li>
</ul>

Vision Guided Robotics Intern

Pursuing Bachelor’s, Master’s, or PhD in CS, EE, Robotics, or related field with programming in Python/C++, ROS2, ML/CV knowledge; strong communication and problem-solving skills.

<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><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.

At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at <a target="_blank" href="https://www.jnj.com">jnj.com</a>As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.Job Function: Career ProgramsJob Sub Function: Post Doc – Data Analytics &amp; Computational SciencesJob Category:Career ProgramAll Job Posting Locations:Spring House, Pennsylvania, United States of AmericaJob Description:<h2>The Population Analytics &amp; Insights team, part of Data Science and Digital Health at Johnson &amp; Johnson Innovative Medicine, is recruiting a Postdoctoral Scientist to support neuroscience research programs. This role is based in Spring House, Pennsylvania.</h2><h2></h2><h2>Our team develops innovative, data-driven solutions across multiple disease areas. In this position, you will analyze large-scale omics data to help elucidate molecular drivers of neuropsychiatric and neurodegenerative disorders, advancing AI-enabled, data-driven drug discovery through modern computational biology and machine learning approaches.</h2><h2></h2><h2>Key responsibilities</h2><h2>You will leverage our extensive omics resources and apply state-of-the-art computational biology and machine learning methods, with a primary focus on:</h2><ul><li><h2>Novel target identification using integrative approaches in neuropsychiatric disorders.</h2></li><li><h2>Large-scale genetics association analysis.</h2></li><li><h2>Proteome-wide multi-task learning for target and biomarker discovery in brain diseases</h2></li><li><h2>Precision patient stratification and characterization of subtype-specific genomic signatures</h2></li></ul><h2></h2><h2>You will work closely with scientists across disease genetics, computational genomics, AI/machine learning, and the neuroscience therapeutic area to design and implement computational pipelines; analyze and interpret results; and communicate findings through internal presentations, conferences, and scientific publications. You will also have opportunities to collaborate with external researchers and institutions on related projects.</h2><ul><li><h2>Conceive, develop, and implement analytical solutions for high-priority scientific projects.</h2></li><li><h2>Engage with scientists across Johnson &amp; Johnson to foster collaborations and build a strong professional network.</h2></li><li><h2>Analyze large-scale genetics, proteomics, and other omics modalities using advanced statistical and computational methods.</h2></li><li><h2>Publish and present findings in top-tier journals and scientific conferences.</h2></li></ul><h2></h2><h2>Qualifications:</h2><h2></h2><h2>Required:</h2><ul><li><h2>PhD in a quantitative field (e.g., Computational Biology, Systems Biology, Biostatistics, Bioinformatics, Statistical Genetics, Computer Science, or related discipline).</h2></li><li><h2>Strong publication record in relevant areas.</h2></li><li><h2>Hands-on experience applying machine learning methods (e.g., multi-task learning; supervised and unsupervised learning) to biological problems.</h2></li><li><h2>Proficiency in R and/or Python; working knowledge of Bash and SQL; and familiarity with high-performance computing environments.</h2></li><li><h2>Experience integrating multi-omics data (e.g., network-based approaches).</h2></li><li><h2>Excellent written and verbal communication skills, with the ability to communicate technical results to diverse stakeholders.</h2></li><li><h2>Ability to work independently as well as collaboratively in a multidisciplinary team environment.</h2></li></ul><h2></h2><h2>Preferred:</h2><ul><li><h2>Experience or domain knowledge in neuropsychiatric and/or neurodegenerative diseases.</h2></li><li><h2>Experience with bulk or single-cell transcriptomics and/or high-throughput proteomics.</h2></li></ul>Required Skills:  Preferred Skills:Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis  The anticipated base pay range for this position is :$79,000.00 - $127,650.00Additional Description for Pay Transparency:Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year

PostDoc Neuroscience Computational Biology

PhD in a quantitative field; strong ML experience; proficient in R/Python; multi-omics integration; excellent communication; independent and collaborative work.

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