[toc] # Opening position: A remote bioinformatic postdoc for the Golden Retriever Lifetime Study (Posted Nov. 23rd, 2022) The [Lab for Data Intensive Biology]( http://ivory.idyll.org/lab/) at UC Davis is seeking to hire a postdoc for the Golden Retriever Lifetime Study. This project is funded by the [Morris Animal Foundation]( https://www.morrisanimalfoundation.org/) to maximize the scientific utilization of datasets collected in this project over many years. The [Golden Retriever Lifetime Study (GRLS)](https://www.morrisanimalfoundation.org/golden-retriever-lifetime-study) investigates the potential environmental, lifestyle, genetic and nutritional risk factors of major diseases including cancer in dogs. There is a vast amount of [data collected](https://datacommons.morrisanimalfoundation.org/node/221) so far and even more is still pending. The postdoc is expected to lead projects and collaborate with a group of expert clinicians and geneticists on bioinformatic studies to discover the sequence variants identifying the dogs of this breed and responsible for their common diseases. This work is expected to result in several publications. In addition, the postdoc is expected to collaborate with the GRLS portal team on enhancements to the findability and accessibility of data, develop training tutorials and bioinformatics workflows, and arrange community engagement events. This job can be part of a transition-to-industry career track as well as a continuing-in-academia plan - we support both. We will happily train you in workflow development, automation, and community engagement! ## Position details * The job can be completely **remote** * The position is **full time** (40 hrs/wk) unless otherwise arranged. * The salary matches the NIH standards (see [NIH postdoc salary details](https://www.niaid.nih.gov/grants-contracts/salary-cap-stipends)). * Full [postdoc benefits](https://grad.ucdavis.edu/resources/postdoctoral-scholar-resources/appointment-promotion/benefits) at UC Davis. * Postdocs at UC Davis are [unionized](http://uaw5810.org/). * UC Davis provides a welcoming environment with many mentoring and career development opportunities. In particular, **the DIB Lab is committed to increasing the retention and success of underrepresented minorities in science**. Here is our [Lab Code of Conduct](http://ivory.idyll.org/lab/coc.html). * Applications will be accepted until the position is filled. * Initial appointments will be for 1 year, with possibility for extension. ## Requested qualifications * PhD must be in hand by time of start. Candidates must have no more than three years of postdoc experience, due to internal UC Davis limits; please inquire if unsure. We are happy to take postdocs with industry experience! * Bioinformatic experience in variant calling, imputation, GWAS, meta-GWAS, and polygenic modeling is **necessary**. * Previous publications and/or Github repositories using these tools are also **necessary** * A significant amount of independent work is **required**, and taking ownership of projects is highly encouraged * Good programming skills in languages like Python and C++ are a big advantage. ## Interested in applying? * Please provide a single pdf document that includes one summary page of your training experience and how it fits the position, followed by a full CV in your preferred format. A statement of career goals is encouraged but not necessary. You can upload your document to this [link](https://receivefiles.de/uploads?url=cxzedmykhs6t4gxefywbn7) * For full consideration please submit by Dec 16th
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Tamer Mansour
1958

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GWAS turorial

Advanced GWAS tutorial in Golden Retriever dogs

1/9/2024
Genomic imputation

Define genomic imputation Genomic imputation is a statistical method used in genetics research to infer missing genotype data. In genotyping experiments, it is not always possible or cost-effective to genotype every single genetic variant in a sample of individuals. By using a reference panel of genotyped individuals, imputation allows researchers to infer the genotypes of the ungenotyped variants in their sample. This can greatly increase the number of variants that can be studied and improve the power of the analysis. Imputation methods use the linkage disequilibrium (LD) between variants to predict the genotype of ungenotyped variants based on the genotypes of nearby genotyped variants. Imputation can be performed using either phased haplotypes (complete sets of genetic variations that are inherited together on one chromosome) or unphased genotypes. It is important to note that imputation is a statistical process and the imputed genotypes are not the true genotypes, they are estimates. Therefore, imputed genotypes need to be validated before they can be used for downstream analysis. How linkage disequilibrium is related to genomic imputation Linkage disequilibrium (LD) is a measure of the association between the alleles of two or more genetic variants, and it is an important concept in genomic imputation. LD refers to the non-random association of alleles at different genetic loci, which means that certain alleles tend to occur together more frequently than expected by chance. This is because of the proximity of the variants on the chromosome and the fact that they are inherited together.

1/15/2023
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