We are recruiting highly motivated late stage graduate students or Post – Doctoral researchers with experience in programming, statistics, and/or genetics to help us develop methods to elucidate the genetic architecture of complex traits using genome-wide data. This NIH funded work is being conducted at the Institute for Behavioral Genetics (IBG), University of Colorado Boulder (PI Matthew Keller) in collaboration with Peter Visscher and Jian Yang at the University of Queensland, Australia.
We are developing new methods using imputed SNPs and sequences in large datasets to gain traction on the importance of rare vs. common variants, genetic heterogeneity, the importance of familial environmental effects, and the degree of non-additive genetic variation underlying complex traits (for relevant publications, visit www.matthewckeller.com).
Interested candidates may contact email@example.com for questions about the position (please attach updated CV).
Who We Are
The Institute for Behavioral Genetics (IBG) is an organized research unit of the University of Colorado Boulder Graduate School dedicated to conducting and facilitating research on the genetic and environmental bases of individual differences in behavior. There is a particular interest in the genetics of psychiatric, behavioral and neurologic disorders. IBG researchers make use of well-characterized longitudinal data arising from both family-based and population-based samples. Statistical and epidemiological approaches being used at IBG include twin/family studies, genome-wide association, GREML and LD-score regression, and the analysis of sequence data. Within IBG, Dr. Matthew C. Keller’s lab uses methodological approaches of genetic epidemiology and statistical genetics that are primarily focused on understanding the genetic architecture underlying complex traits and disease.
What Your Key Responsibilities Will Be
- Collaborating with Dr. Matthew Keller on scientific projects regarding estimation of the genetic architecture of traits.
- Taking lead on scientific projects and seeing them through to publication as first author.
- Designing, testing via simulation, and deploying novel methods on large genomewide datasets.
- Writing and running scripts in a high performance computing cluster.
What You Should Know
The position is open for a 2+ year postdoctoral fellowship to be filled Winter of 2019 or after.
What We Can Offer
A commensurate salary based on experience.
The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.
Be Accomplished. Be Engaged. Be Boulder.
What We Require
- PhD in a field related to psychiatric/statistical/behavioral genetics -OR- PhD in a quantitative/computational field.
- Experience with the R statistical language and UNIX.
- A record of scientific productivity.
What We Would Like You To Have
The ideal candidate will have experience working with large whole-genome datasets, have a working knowledge of some of the standard software packages in the field (e.g., VCFtools, PLINK, GCTA, OpenMx, etc), and have experience in testing novel models using simulation approaches.
To apply, please submit the following materials:
- Cover Letter
- List of 3 References
- 1 Letter of Recommendation (Not Confidential)
Review of applications will begin immediately and will continue until the position is filled.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.