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Postdoctoral Scholar (JPF09130)

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Job #JPF09130

• Neurology / David Geffen School Of Medicin / UCLA

Position overview
Position title: Postdoctoral Scholar
Salary range: $64480-$77327
Review timeline: Candidate is reviewed every 2 years from appointment date.

Application Window

Open date: January 11, 2024

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

Final date: Saturday, Feb 10, 2024 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

The University of California, Los Angeles Geffen School of Medicine’s Department of Neurology invites applications for a full-time Postdoctoral Scholar with expertise in neurodegenerative disease epidemiology, human genetics, and/or bioinformatics analyses of -omics data. The postdoctoral scholar will join an exciting, multidisciplinary research team in Neurology in the Paul lab using high-throughput, omic technologies to study neurodegenerative disease and aging. The salary range is $64480-$77327.

The postdoctoral scholar will contribute to and lead projects involving high-dimensional data (genomics, transcriptomics, metabolomics) and Parkinson’s disease (PD), Lewy body dementia (LBD), and Parkinson’s disease dementia (PDD). Using multi-omic data and a systems biology pipeline, the candidate will lead research investigating immune system decline and how it relates to PD/LBD/PDD. The candidate will also collaborate with other team members and projects who work on characterizing genetic/epigenetic contributions to Parkinson’s, Alzheimer’s, and cognitive decline. The candidate will work with faculty members, led by Dr. Kimberly Paul, with a range of expertise (e.g., epidemiology, neurology, bioinformatics, human genetics, etc.).

Responsibilities
• Use bioinformatics tools to analyze high-throughput omic data (genetic and genomic data, including whole genome/exome sequencing, transcriptomic, metabolomic)
• Perform analyses to examine how multi-omic data are associated with neurodegenerative disease outcomes and medical data
• Perform statistical analysis of omic data in case-control and cohort study designs
• Prepare manuscripts, grant proposals, and scientific meetings presentations
• Work independently and collaboratively with highly interactive research groups
Requirements
• PhD in Epidemiology, Biostatistics/Statistics, Human Genetics, Computational Biology, Bioinformatics, or other relevant computational disciplines
• Programming proficiency in R (preferred), or other statistical languages (Python, C, C++, etc), with experience handling large omic data files in various formats
• Experience in analysis of omics data using bioinformatics tools, experience with human sequence data is a plus
• Working knowledge of statistical genetics is a plus
• Ability to analyze data on the cloud (AWS, Google or Azure) is a plus
• Excellent written and verbal communication

Qualifications
Basic qualifications (required at time of application)

Applicants must have PhD in Epidemiology, Biostatistics/Statistics, Human Genetics, Computational Biology, Bioinformatics, or other relevant computational disciplines.

Application Requirements
Document requirements

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

• Cover Letter (Optional)

• Statement of Research (Optional)

• Statement of Teaching (Optional)

• Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.

• Reference check authorization release form - Complete and upload the reference check authorization release form

• Misc / Additional (Optional)

Reference requirements

• 3-5 required (contact information only)

Only references of serious candidates will be contacted

Apply link: https://recruit.apo.ucla.edu/JPF09130

Help contact: [email protected]

About UCLA

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.

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. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy.

Job location
Los Angeles, CA
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