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Data Analyst & Programmer - Hur Lab

Categories: Other

Department: Biomedical Sciences

Data Analyst & Programmer - Hur Lab

  • 498033
  • Grand Forks, North Dakota, United States
  • Temporary Staff
  • Closing on: May 11 2026
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Salary/Position Classification

  • 27.30 hourly, Non-Exempt (Eligible for overtime)
  • Up to 40 hours per week hours per week
  • 100% Remote Work Availability: No
  • Hybrid Work Availability (requires some time on campus): No

Purpose of Position

We seek a part-time Data Analysts & Programmers to join our collaborative, interdisciplinary team

Duties & Responsibilities

  • Developing literature mining pipelines for identifying protein-protein interactions from biomedical texts, utilizing state-of-the-art BERT and large language models (LLM), including but not limited to GPT, Claude, Llama2, and Gemini,
  • Enhancing Ignet (Integrated Gene Network), a web-based system that leverages centrality and ontology to discover, analyze, and visualize biological gene interaction networks (https://ignet.org),
  • Creating or integrating natural language processing pipelines for network-based analysis of biomedical entities. 

Required Competencies

  • Computer skills are required: Python programming, Machine Learning, and Natural Language Processing skills.
  • Excellent interpersonal and presentation skills, with the ability to interface and communicate effectively with team members from diverse backgrounds.
  • Excellent planning, time management, organizational, and work coordination skills are needed

Minimum Requirements

  • Minimum of 3 years of experience in Python programming with a strong understanding of machine learning and natural language processing.
  • Demonstrated familiarity with biomedical literature and data mining, as evidenced by at least one research publication, or submissions to conferences, journals, or preprints (to be included as an Appendix in your application).
  • Experience in relational database management and web page development, acquired through training courses or research projects. Applicants should include hyperlinks to any developed web page(s) in an appendix, accompanied by several screenshots of these pages.
  • Any applications without a cover letter, a complete CV, and an appendix of publication and web page(s) will not be considered.
  • Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position supports visa sponsorship for continued employment.

Preferred Qualifications

  • Experience in other machine learning approaches 
  • Experience in biomedical ontologies 

To Apply

Submit a Cover Letter, CV, Appendix of publication(s) and web page(s)

Please note, all employment postings close at 11:55pm CST. Part-time/Temporary positions are posted for a minimum of 3 business days.

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Additional Information

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All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

Need help?

Please email the Human Resources Department at UND.humanresources@UND.edu or contact us by phone at 701.777.4226. If you anticipate needing any type of accommodation to participate in any portion of the University's employment process, including completion of the online application process, please contact our office in advance of your participation or visit. 

Veteran’s Preference

Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a DD-214 or a copy of NGB 22 from National Guard or Reserve (with a unit located in ND) or certification from the applicant's unit command that the individual is expected to be discharged or released from active duty in the uniformed services under other than dishonorable conditions not later than one hundred twenty days after the date of the submission of the certification. If claiming disabled veteran status, proof of eligibility includes a DD-214 and a current letter of disability dated within the past year.

Confidentiality of Application Materials

Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three or more finalists who will be invited to campus.

EEO Statement

The University of North Dakota is an equal opportunity employer (veteran/disability). All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristic. Veterans and individuals with disabilities are encouraged to apply. 

Clery Statement

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at UND.edu. You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND, 58202.