Jr. Specialist in Local Ancestry Inference AI (Corbett-Detig Lab)


Position overview
Position title: Jr. Specialist in Local Ancestry Inference AI (Corbett-Detig Lab)
Salary range: Commensurate with qualifications and experience. A salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions. A reasonable estimate for this position is $53,100-56,600.

Percent time: Full-time (100%)

Anticipated start: As soon as possible after initial review of the applications.

Position duration: Initial appointment will be for a duration of 5-7 months, with the possibility of reappointment.

Application Window

Open date: September 25, 2024

Next review date: Friday, Oct 25, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Sep 25, 2025 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position Description


Russell Corbett-Detig in the Biomolecular Engineering Department at the University of California, Santa Cruz (UCSC) invites applications for the position Local Ancestry Inference AI Researcher.

The hiring unit, within the Biomolecular Engineering Department at UCSC focuses on research and education at the intersection of biology, computer science, and engineering, to drive advances in areas such as genomics, synthetic biology, bioinformatics, and biomolecular modeling.

Under the direction of Professor Corbett-Detig, the research specialist will contribute towards genomic data analysis, and software methods development.

An ideal candidate would have general knowledge in python programming and application of machine learning packages such as tensor flow. The research specialist will be expected to develop, through hands-on training, a working knowledge of local ancestry inference methodology



Corbett-Detig Lab: https://corbett-lab.github.io/

Biomolecular Engineering Department: https://engineering.ucsc.edu/departments/biomolecular-engineering/


Qualifications

Basic qualifications (required at time of application)

• B.S. degree (or equivalent foreign degree) in machine learning or applied statistical inference.
• Experience developing machine learning methods for extracting complex models from data.

Your application must demonstrate that you meet all of the basic qualifications when you submit your application. There are no exceptions to this requirement.


Application Requirements


Document requirements

• Curriculum Vitae - Your most recently updated C.V.
  

Apply link: https://recruit.ucsc.edu/JPF01820

Help contact: rucorbet@ucsc.edu

About UC Santa Cruz


The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the Universitys equal employment opportunity policies may be directed to the Equity and Equal Protection Office at the University of California, Santa Cruz, CA 95064 or by email at equity@ucsc.edu.

Notice of Availability: In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery Act), the Annual Security and Fire Safety Report is available at: https://compliance.ucsc.edu/campus-safety-compliance/annual-reports/. This report is published by October 1st of each year and includes current institutional policies and procedures concerning campus safety and security; fire safety and evacuation policies; sexual misconduct and relationship violence reporting and response protocols; and crime and fire statistics for the three previous calendar years. A paper copy of the ASFSR is available upon request by contacting the UCSC Police Department at 114 Carriage House Rd., Santa Cruz, CA 95064, or by calling 831-459-2231 Ext. 1.

Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check (see https://www.uscis.gov/e-verify). The university sponsors employment-based visas for nonresidents who are offered academic appointments at UC Santa Cruz (see https://apo.ucsc.edu/policy/capm/102.530.html).

UCSC is a smoke & tobacco-free campus.

If you need accommodation due to a disability, please contact Disability Management Services at roberts@ucsc.edu (831) 459-4602.

UCSC is committed to addressing the spousal and partner employment needs of our candidates and employees. As part of this commitment, our institution is a member of the Northern California Higher Education Recruitment Consortium (NorCal HERC). Visit the NorCal HERC website at https://www.hercjobs.org/regions/higher-ed-careers-northern-california/ to search for open positions within a commutable distance of our institution.

The University of California offers a competitive benefits package and a number of programs to support employee work/life balance. For information about employee benefits please visit https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

VISIT UC Santa Cruz: https://www.ucsc.edu


Job location

Santa Cruz, CA


To apply, visit https://recruit.ucsc.edu/JPF01820







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