Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Psu, jobs usually come down by about day 25.
From 10,564 similar postings that came down, and 17 of Psu’s. Coming down is not always a hire.
Research Assistant Positions - LLMs and AI for Data Analysis (Spring 2027)
Penn State University Park
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
Working pattern needs review — work setting source
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 location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS
Read the full posting- Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting
What you’ll bring
All qualificationsPreferred experience
- Strong Python programming skills and demonstrated experience developing software or computational projects;
- Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;·
- Familiarity with relevant libraries and frameworks (e.g., PyTorch, Hugging Face Transformers, LangChain, or similar tools);·
- Experience with research projects, software development internships, or independent technical projects;·
Qualification wording
Strong Python programming skills and demonstrated experience developing software or computational projects;
Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;·
Familiarity with relevant libraries and frameworks (e.g., PyTorch, Hugging Face Transformers, LangChain, or similar tools);·
Experience with research projects, software development internships, or independent technical projects;·
Education & alternatives
JOB DESCRIPTION AND POSITION REQUIREMENTS The Department of Statistics at Penn State seeks to hire master's students in Computer Science or related fields as part-time Research Assistants for Spring 2027. Exceptionally qualified undergraduate students will also be considered. Successful candidates will work on research projects involving large language models (LLMs), AI agents, and their applications in data analysis and scientific research. Responsibilities may include developing and evaluating LLM-based methods, implementing computational experiments, building research software, and analyzing experimental results.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Psu is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Hugging Face
- PyTorch
- Transformers
Where the posting names them
Preferred qualifications include: - Strong Python programming skills and demonstrated experience developing software or computational projects; - Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;·
- Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;· - Familiarity with relevant libraries and frameworks (e.g., PyTorch, Hugging Face Transformers, LangChain, or similar tools);· - Experience with research projects, software development internships, or independent technical projects;·
Your next step
Complete your application on psu.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
APPLICATION INSTRUCTIONS:
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.
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 location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Statistics at Penn State seeks to hire master's students in Computer Science or related fields as part-time Research Assistants for Spring 2027. Exceptionally qualified undergraduate students will also be considered.
Successful candidates will work on research projects involving large language models (LLMs), AI agents, and their applications in data analysis and scientific research. Responsibilities may include developing and evaluating LLM-based methods, implementing computational experiments, building research software, and analyzing experimental results.
Preferred qualifications include:
- Strong Python programming skills and demonstrated experience developing software or computational projects;
- Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;·
- Familiarity with relevant libraries and frameworks (e.g., PyTorch, Hugging Face Transformers, LangChain, or similar tools);·
- Experience with research projects, software development internships, or independent technical projects;·
- Ability to work independently, troubleshoot technical problems, and write well-documented, reproducible code.
Prior research experience is desirable but not required. Candidates with strong technical skills and an interest in conducting research are encouraged to apply.
Hours, wages, and anticipated periods of employment will vary based on project needs and applicant availability. In addition to the application on workday, please fill out this form RA application 2027 – Fill out form. Applications will be reviewed on a rolling basis. For full consideration, please apply by Nov. 20, 2026.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Penn State University Park
- 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 location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.