Statistical Genetics Post-Doctoral position

University of Pennsylvania (PENN)

Philadelphia, Stanford (Flexible), United States

We are seeking a highly motivated senior post-doctoral fellow or research associate level scientist to work on transplantation genomic datasets from the University of Pennsylvania, Stanford, and a large international transplant consortium, iGeneTRAiN, encompassing the largest transplant studies every assembled ( We have detailed clinical information including individual rejection data and complications of rejection. We have genome-wide SNP data on > 50,000 participants and whole-exome sequencing (WES) on subsets of patients, with additional WES studies ongoing on additional cohorts. For many of these studies we also have existing genomic DNA, RNA, biopsies, and plasma/serum for additional wet lab experiment.


Our group is highly collaborative and the successful applicant must be able to effectively communicate with transplant clinicians, geneticists, and epidemiologists at the Division of Transplantation and The Institute of Biomedical Informatics at UPenn, and within the Department of Genetics in Stanford (Professor Mike Snyder’s Lab). The applicant must have a strong statistical background with expertise in genome-wide association study analyses (using genome-wide genotyping and whole-exome sequencing), expression studies in bulk RNAseq and/or single-cell RNASeq. Experience in integrative analyses of multiomic datasets would be an advantage.

Required Qualifications

·        PhD in Genetics, Statistical Genetics or a related discipline, preferably with a few years of post-doctoral experience (but not essential)

·        Record of publication in the areas of statistical genetics or genetic epidemiology.

·        Excellent written and verbal communication skills, and the ability to manage multiple projects

·        Experience in GWAS analyses, and preferably in second-generation sequencing analyses, and effective utilization of computer clusters.

·        Analysis of multiple omic datasets would be advantageous

·        Demonstrated knowledge and programming experience in UNIX, R, PYTHON and PERL

·        Highly motivated and committed to biomedical research

Apply with CV and Cover Letter

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Statistical Genetics Post-Doctoral position