Postdoctoral Position in Neurology

University of California Los Angeles David Geffen School of Medicine

Postdoctoral Scholar

Job #JPF07720
  • Neurology / David Geffen School Of Medicin / UCLA

Application Window

Open July 28th, 2022 through Sunday, Oct 16, 2022 at 11:59pm (Pacific Time)

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 and Chang labs using high-throughput, omic technologies to study neurodegenerative disease and aging.

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 Drs. Kimberly Paul and Timothy Chang, 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)

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 Sample Guidance for Candidates and related EDI Statement FAQ document.
  • Misc / Additional (Optional)
Reference requirements
  • N/A
Apply link: https://recruit.apo.ucla.edu/JPF07720

Help contact: ddelpino@mednet.ucla.edu

Campus Information

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. New University of California employees must (a) provide proof of receiving at least one dose of a COVID-19 Vaccine no later than 14 calendar days after their first date of employment and provide proof of Full Vaccination no later than eight weeks after their first date of employment; or (b) if applicable, submit a request for Exception or Deferral no later than 14 calendar days after their first date of employment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health 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