Computational Biomedicine Assistant
University of New Mexico | |
$18.00 Hourly | |
United States, New Mexico, Albuquerque | |
1 University Of New Mexico (Show on map) | |
Jan 15, 2025 | |
Requisition IDreq32101
Working TitleComputational Biomedicine Assistant Pay$18.00 Hourly CampusHealth Sciences Center (HSC) - Albuquerque, NM DepartmentIM Translations Informatics (852T) Employment TypeStudent Employment Student TypeStudent Employment StatusNon-Exempt Background Check RequiredNo For Best Consideration Date1/28/2025 Position Summary The Translational Informatics Division has a job opening for a graduate student or advanced undergraduate student with training and skills suitable to contribute to research in biomedical data science. Ideal candidates should have knowledge and skills in (1) programming in Python and other languages, (2) machine learning, (3) data science, and (4) SQL and No-SQL databases. Also, desirable and applicable are training, knowledge and interest in one or more of: molecular biology, genomics, chemistry, cheminformatics, statistics, medicine, drug discovery, and biomedical informatics. Job responsibilities and tasks will be adjusted to the specific strengths and interests of the research assistant. Motivation, honesty, curiosity, and communication skills are essential. The work will involve collaborative data science toward the research goals of the NIH funded projects and provide excellent training opportunities for motivated persons. Minimum Qualifications Enrolled in a degree seeking program at UNM, Enrolled at least half-time (6 hours) at UNM for fall and spring semesters (Audit hours do not count), and if Work Study, you must meet Satisfactory Academic Progress. Preferred Qualifications
Application Instructions Only applications submitted through Application must include a current resume and cover letter. Please detail your directly related experience in cover letter. The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class. |