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Postdoctoral Research Associate, Genomics : La Jolla, CA, United States

POSITION SUMMARY

This Postdoctoral Research Associate position at The Scripps Research Institute is within the Department of Molecular Medicine. The individual will report to Associate Professor and Director of Genomics at The Scripps Translational Science Institute to provide practical, creative, and comprehensive solutions to cutting edge problems in human genetics and genomics. This role will work with a small team of computational and quantitative biologists on human genomics projects primarily focused on the detection of novel genetic associations and the use of genetic information in precision medicine initiatives. Specifically, this postdoctoral associate will be responsible for the identification of clinically important genetic variations identified through genome sequencing studies, including both prospective family-based studies which include reporting of findings to physicians and families, as well as cohort-based studies involving burden analyses for known and novel disease associations.

RESPONSIBILITIES AND DUTIES

• Drive the design, development, and maintenance of computational pipelines primarily focused on the comprehensive human genome analysis, spanning read-mapping, variant calling, variant annotation, prioritization of pathogenic / causal variants, and reporting.

• Independently develop new approaches for the integration of common and rare variants, as well as clinical measurements, for the prediction of overall disease risk.

• Support and collaborate with physician scholars in the pursuit of research questions involving genomic analyses – ranging from analysis of RNA-seq, microbiome, and other sequence-based assays.

• Establish, maintain, and analyze large databases of clinical and patient-generated health data as part of on-going and future research efforts.

• Work collaboratively with a diverse and interdisciplinary team of physicians, computer scientists, behaviorists, and biostatisticians to address pressing biomedical questions and needs.

• Develop and maintain computational infrastructure to support analytical needs.

• Generate reports and visualizations to communicate findings to a wide audience.

• Contribute to the development of new research efforts, studies, grants, and publications.

• Perform other related duties as required or assigned.

POSITION REQUIREMENTS

• MD or PhD in computational biology, genetics, statistical genetics, genetic epidemiology, bioinformatics or related field.

• Minimum 2 years of experience (graduate or post-graduate) in the handling of genome sequencing data, preferably in a clinical or clinical research setting.

• Solid understanding of clinical genetics reporting criteria required, with a background in both rare variant and common variant analyses strongly preferred.

• Experience with genomics software packages, BWA, GATK, PLINK, or related packages is required.

• Experience with at least one programming language, such as (but not limited to) Python, Java, and JavaScript is required.

• Knowledge of and experience with one or more statistical programming environments or libraries, such as (but not limited to) R, pandas, or SAS is required.

• Experience with a wide range of sequence-based assays, especially RNA-seq and microbiome profiling is preferred.

• Experience developing scalable system architectures that adhere to good software engineering principles is a major plus.

• Ability to tackle large, open-ended research questions independently and as part of a team.

• Ability to effectively prioritize workload and multi-task.

• Excellent communication, analytical and organizational skills, both written and verbal.

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