Postdoctoral Positions in the Vanderbilt Genetics Institute
Job Qualifications: Applicant must hold a PhD in a relevant field (genetics, statistics, computer science, etc.). Intimate knowledge of complex trait genomics is desired but not required. Computational background is required. Experience working in a unix/linux cluster environment, and programming in R, python, perl and/or matlab is required.
Job Summary: We are seeking a highly motivated individual with strong computational skills and a passion for discovery! The Davis lab is a computational and statistical genomics lab focused on the genetic architecture of a wide range of phenotypes including gender identity, mental health traits, and endocrine phenotypes. Projects in the lab utilize large highly dimensional data sets including genomic SNP and copy number variation data, DNA and RNA sequencing, and biobank phenotypes. We use polygenic approaches to “big data” to identify genes involved in human health and disease, to discover genetic correlations between traits, and to identify novel biomarkers. Working with a network of collaborators, we integrate multiple sources of genetic variation with functional annotations from gene expression and proteomics studies to answer questions about the underlying biology of complex traits. Additional interests in the lab include elucidating the relationships between genetic and environmental sources of risk, as well as understanding the evolutionary history of complex traits and disease states. Several projects in the lab make use of the >200,000 individual Vanderbilt Biobank, BioVU, to test hypotheses in all of these areas. We are seeking PhD trained scientists who wish to delve into these research topics. This is a wonderful opportunity for someone who loves finding patterns in big data and is interested in human biology and disease. We are passionate about seeking deep understanding of complex human traits through genomics. If you meet the qualifications, are eager for responsibility, and are scientifically curious, we invite you to apply!
Responsibilities will include:
Working in a team environment including international consortia.
Independently developing and leading projects.
Assisting with grant writing and seeking independent funding.
Presenting work at national and international meetings and writing manuscripts.
Providing mentorship to graduate and undergraduate students.
Attention to detail and good organizational skills.
A high level of personal integrity.
To inquire about this position, please contact Dr. Davis (email@example.com). Please attach a current CV.
The Vanderbilt Genetics Institute (VGI) was established to foster scientific interactions at the clinical, molecular, and analytical levels by providing state-of-the-art resources to Vanderbilt scientists involved in genetic and genomic research. VGI is uniquely positioned to enable translational discoveries due the enormous university-wide investments in biomedical informatics and precision medicine. These investments are exemplified by BioVU, a biobank of genetic material containing over 225k patient samples and Vanderbilt’s lead role in the President’s Precision Medicine Initiative.
Successful applicants will have the opportunity to lead one of several large-scale projects in the institute including but not limited to
- Deciphering the genetic basis of both rare and common human traits leveraging genetic data and a large electronic health database.
- Quantifying transcriptional consequences of genetic variants from large samples of RNA-sequencing and whole-genome sequencing data.
- Modeling and interpretation of how epigenomic changes contribute to the gene regulatory programs that drive cellular differentiation.
- Exploring how the recent evolutionary history of our species has shaped modern human genomes and created disparities in disease prevalence between populations
A record of successful publications and a PhD in genetics, bioinformatics, computer science, statistics, or a similar discipline is required. Programming and analytical skills are essential for this position. Experience in ‘omics, statistics, and bioinformatics is preferred, but not strictly necessary.
Interested applicants should send CV and brief summary of interest to VGIpostdoc.firstname.lastname@example.org.
Tenure-Track Assistant Professor Positions at the Vanderbilt Genetics Institute
The Vanderbilt Genetics Institute (https://medschool.vanderbilt.edu/vgi/), under the leadership of Dr. Nancy Cox, invites applications for multiple tenure-track/tenured faculty positions at the Assistant Professor, Associate Professor, or Professor rank. We seek scientists with a track record of outstanding research in genetics and genomics who will build on Vanderbilt’s strengths in genetics, precision medicine, electronic health records, and biomedical informatics to perform world-class research. We have a particular interest in candidates with expertise in statistical genetics, population genetics, genetic epidemiology, systems biology, and/or bioinformatics. We also seek candidates who use genome-wide experimental approaches, such as functional genomics, single cell genomics, and novel genome editing techniques, to answer fundamental questions about genome function and disease. The VGI and the Vanderbilt community provide a stimulating intellectual environment with unique resources that enable cutting edge basic and translational genomics research. These include: BioVU, Vanderbilt’s biobank linked to electronic health records (https://victr.vanderbilt.edu/pub/biovu/), the Undiagnosed Disease Network (http://www.mc.vanderbilt.edu/root/vumc.php?site=undiagnosed), and a leadership role in the Precision Medicine Initiative (http://goo.gl/X2Jd7h).
Candidates must have a Ph.D. and/or M.D., and should submit a single PDF containing a letter of interest, a curriculum vitae, a 3-page statement of current and future research interests, a brief statement of teaching/mentoring philosophy, and contact information for at least three references by email to email@example.com. Application materials should be addressed to Dr. Nancy Cox, Director, Vanderbilt Genetics Institute, 507 Light Hall, Vanderbilt University Medical Center, Nashville, TN 37232-0700. Consideration of applications will begin on October 1, 2016 and continue until the positions are filled. Women and minority candidates are especially encouraged to apply. Vanderbilt University Medical Center is an Equal Opportunity/Affirmative Action Employer. Vanderbilt is located in Nashville, TN. To learn more about our vibrant city, see: http://www.vanderbilt.edu/nashville/.
Vanderbilt Genomic Medicine Training Program – Post Doctoral Fellowship Opportunity
The Vanderbilt Genomic Medicine (VGM) Training Program is now accepting applications for the 2017 postdoctoral fellowship. VGM includes a major focus in pharmacogenomics, precision phenotyping, medical informatics, and disease-based genomics. For more information, please click HERE.
The program has 29 highly collaborative and well-funded faculty preceptors who team up to provide both basic and clinical research training opportunities to both Ph.D.-level and M.D.-level postdoctoral fellows. Trainees will participate in rotations, internships, seminars, journal clubs, and retreats and interact with other trainees and faculty. In addition, trainees will receive RCR training, high-standard Individual Development Plans (IDP), and the Career Development programs.
Applicants must have been awarded a doctorate in biomedical sciences, medicine or a related field. Some experience in Computer Science, Statistics, Informatics, and/or Genetics is recommended, but not required.
Anyone interested in being considered must submit the following (in PDF format) to Janey Wang (firstname.lastname@example.org) by 5 p.m. on Monday, April 3rd.
1-page personal research statement
Letter of recommendation
CV or biosketch
Submissions should reference the program name in the subject line of the email.
If you have any questions about the VGM program, please contact Janey Wang (email@example.com), Project Manager, Center for Precision Medicine, in Department of Biomedical Informatics.