CSE Part-Time Computational Biology Research Assistant Trainee Koslicki Job at The Pennsylvania State University, University Park, IL

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  • The Pennsylvania State University
  • University Park, IL

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.

Approval of remote and hybrid work is not guaranteed regardless of work additional information on remote work at Penn State see Notice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are seeking a motivated research assistant to gain hands-on experience in computational genomics and bioinformatics as part of an NIH-funded metagenomics research project. This part-time position offers an excellent learning opportunity for someone looking to develop skills in computational biology algorithm development and AI applications in biological research.

Responsibilities:

  • Assist with computational analysis for metagenomic studies under close supervision
  • Learn and apply existing algorithms for taxonomic classification and phylogenetic analysis
  • Support the development of bioinformatics pipelines and tools
  • Perform data processing and quality control for genomic datasets
  • Contribute to functional annotation and comparative analysis of metagenomic samples
  • Participate in lab meetings and learn research methodologies
  • Assist with training materials and documentation for lab protocols

Qualifications:

  • Degree in computer science computational biology bioinformatics mathematics or related field
  • Coursework or project experience in bioinformatics or computational biology
  • Basic programming skills in Python R or similar languages
  • Willingness to learn new computational tools and methods
  • Strong attention to detail and ability to follow protocols
  • Good communication skills and ability to work collaboratively

Schedule: up to (but not to exceed) 20 hours per week

Compensation: $15/hour

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 .

The Pennsylvania State University 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 universitys teaching research and service mission.

Required Experience:

Intern

Job Tags

Part time, Traineeship, Internship,

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