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Entry Level Computer Science Graduate Jobs in Pennsylvania

$19.25 - $25/hr

... Science, Computer Science, Statistics, Biomedical Informatics, and related life science or engineering graduate programs, especially those with experience building reproducible computational ...

Quality Lab Tech (3rd Shift)

West Hazleton, PA · On-site

$19.50 - $24.75/hr

... * Entry level computer skills in MS Word and Excel * Must be able to work in a laboratory ... Associates Degree, Engineering, Applied or Physical Science is preferred. * Previous experience in ...

... graduate, professional, and seminary programs. The university's main campus is located in St ... D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and ...

Quality Lab Tech (3rd Shift)

West Hazleton, PA · On-site

$19.50 - $24.75/hr

... * Entry level computer skills in MS Word and Excel * Must be able to work in a laboratory ... Associates Degree, Engineering, Applied or Physical Science is preferred. * Previous experience in ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python ... Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates ...

National Science Foundation. Successful applicants will work on a team with faculty and graduate students from the departments of Statistics and Computer Science & Engineering, will help create a ...

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Entry Level Computer Science Graduate information

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Graduate, and why are they important?

To thrive as an Entry Level Computer Science Graduate, you need foundational knowledge in programming languages (such as Python, Java, or C++), algorithms, and data structures, supported by a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development tools or cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and adapt within dynamic environments. These skills and qualities enable you to efficiently contribute to software projects, learn new technologies quickly, and work productively within engineering teams.

What types of projects or tasks can an entry level computer science graduate expect to work on during their first year?

As an entry level computer science graduate, you can expect to work on a variety of tasks such as debugging software, writing code for smaller features, assisting with testing and quality assurance, and supporting senior developers on larger projects. You may also participate in code reviews, maintain documentation, and collaborate closely with team members from development, QA, and product management. These responsibilities are designed to help you build technical proficiency, familiarize yourself with company tools and processes, and gain experience working in a professional software development environment.

What are entry level computer science graduates?

Entry level computer science graduates are individuals who have recently completed a degree in computer science and are beginning their professional careers. They typically possess foundational knowledge in programming, algorithms, data structures, and software development. These graduates often seek positions such as junior software developer, IT support specialist, or QA tester. Employers look for candidates who can demonstrate problem-solving skills, a willingness to learn, and the ability to work effectively in a team.

What is the difference between Entry Level Computer Science Graduate vs Software Developer?

AspectEntry Level Computer Science GraduateSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's in Computer Science or related field; coding skills
Work EnvironmentInternships, entry-level roles, training programsDevelopment teams, tech companies, startups
Employer & Industry UsageUniversities, tech firms, government agenciesSoftware companies, IT departments, tech startups
Common Search/ComparisonYesYes

Entry Level Computer Science Graduates typically possess foundational knowledge and may be in internships or entry roles, focusing on learning and skill development. Software Developers build on this foundation, actively creating and maintaining software applications in professional environments. While both roles require similar educational backgrounds, Software Developers usually have more practical coding experience and responsibilities.

What are the most commonly searched types of Computer Science Graduate jobs in Pennsylvania? The most popular types of Computer Science Graduate jobs in Pennsylvania are:
What are popular job titles related to Entry Level Computer Science Graduate jobs in Pennsylvania? For Entry Level Computer Science Graduate jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Graduate jobs in Pennsylvania look for? The top searched job categories for Entry Level Computer Science Graduate jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Entry Level Computer Science Graduate jobs? Cities in Pennsylvania with the most Entry Level Computer Science Graduate job openings:

NSF NCEMS - Huck Institutes Graduate Assistantship

Penn State University

University Park, PA • On-site

$19 - $25/hr

Part-time

Posted 23 days ago


Penn State University rating

8.0

Company rating: 8.0 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

147th of 530 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS
JOB DESCRIPTION AND POSITION REQUIREMENTS
Graduate Students are encouraged to apply for the Graduate Research Assistant opportunities with the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State.
The NSF funded NCEMS is seeking highly motivated graduate students (8 for Summer semester; 17 for Fall/Spring semesters) in programs such as Bioinformatics, Genomics/Computational Biology, Biostatistics, Data Science, Computer Science, Statistics, Biomedical Informatics, and related life science or engineering graduate programs, especially those with experience building reproducible computational workflows for high-throughput molecular datasets. This opportunity is offered at minimum Grade 15 half-time, with a willingness to match the candidate's current grade level pay at half-time if they are selected for the position, beginning in Summer 2026 or earlier, with appointments made on a semester-by-semester basis and the possibility of renewal across multiple semesters. Graduate Research Assistants will support one or more of the Center's Working Groups and will be mentored by designated NCEMS research staff.
The primary responsibilities of this position are:
  • Support community-scale synthesis research by contributing to one or more NCEMS Working Groups
  • Process and analyze molecular and cellular datasets, including transcriptomics and gene regulatory data such as ChIP-seq, ATAC-seq, and Hi-C
  • Develop, run, and maintain reproducible computational pipelines and workflows
  • Integrate and analyze multi-omics or multi-modal datasets for synthesis research
  • Contribute to additional project areas based on project needs, including methodological work in machine learning and scientific applications in proteomics, molecular dynamics, and evolutionary biology.
  • Produce and maintain well-documented code, notebooks, workflows, and other research outputs
  • Provide weekly progress updates during scheduled meetings with mentoring research staff
  • Prepare interim and final written reports or presentations as requested
  • Participate in regular meetings with mentoring research staff, broader NCEMS research personnel, and Working Group members to review progress, address blockers, and align work with project milestones

As part of this position, selected candidates will work under the supervision and mentorship of a designated NCEMS Staff member. Graduate Research Assistants are expected to work 20 hours per week in person in the designated NCEMS space in the Benkovic Building. Before the appointment begins, the selected candidate and mentoring research staff member will establish a fixed schedule that includes substantial overlap with the mentor's on-site schedule. All work performed during scheduled hours must be NCEMS-related and aligned with pre-approved project objectives, methods, timelines, and deliverables.
Applicants must be full-time doctoral students at Penn State University Park, be in good academic and conduct standing, and demonstrate strong interest in computational and data-driven molecular or cellular science research. Ideal candidates will possess strong communication, organization, and technical skills; the ability to work independently while seeking guidance appropriately; and the ability to collaborate effectively with staff, faculty, and interdisciplinary research teams.
Preferred qualifications include:
  • Experience with machine learning applications
  • Experience with multi-modal integration of common biological data types
  • Experience with workflow languages such as Snakemake or Nextflow
  • Proficiency in Python and R
  • Experience with transcriptomics and other gene regulatory data, including processing from raw files
  • Knowledge of basic applied statistics, including hypothesis testing and multiple testing correction

Minimum qualifications include:
  • Experience with Python or R
  • Familiarity with Linux
  • Project experience and interest in computational biology, bioinformatics, genomics, pipeline development, or related quantitative research areas

Interested students should submit:
A statement of interest and technical experience that briefly describes your relevant research or project background, including datasets, tools, programming languages, computational or analytical methods, data types, compute environments, and operating systems familiarity. A CV
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
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 here.
EEO IS THE LAW
Penn 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.
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