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Postdoctoral Fellow Position
The Mignot Laboratory has an opening for a highly motivated, self-driven postdoctoral fellow with a background in bioinformatics. The successful candidate will join the Sleep Center at Stanford University School of Medicine.
The post doctoral fellow will join a team working on translational research projects involving human sleep, with primary focus on the discovery of new genes and disease biomarkers associated with sleep and circadian physiology. The work will involve analysis of high-throughput genetic data such as GWAS, genome wide expression and sequence analysis of DNA or RNA (including RNA seq, exome sequencing, immune cell TCR sequencing and immunogenetics). If interested, signal analysis and machine learning of human sleep polysomnography data could also be part of the project.
Multiple projects could be assigned depending of interest, including: analysis of large-scale proteomic data (5,000 proteins) in large populations with specific sleep or circadian manipulation; GWAS analysis of sleep signals measured by sleep study, or of sleep disorders, with functional characterization of the effects of identified SNPs though bioinformatic analysis; immune repertoire sequencing analysis in conjunction with genetic analysis and autoimmunity (see Medline).
The laboratory already has multiple experts in these areas notably machine learning and genetic analysis, thus excellent communication and interpersonal skills are required to be able to collaborate with the team. The position will require work between computational and biology disciplines.
- Doctoral degree
- Experience in performing analyses using programming languages such as Python and R
- Familiarity of working with Unix commands
- Understanding of statistics and experience in handling large datasets is needed
- An updated CV
- Complete contact information for three references
- A cover letter describing past research experience, career goal and a statement of future research interest