Senior Bioinformaticist - Psychiatry

Scheduled Hours

40

Position Summary

The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, (NGI) at Washington University School of Medicine is recruiting a Senior Bioinformatics Scientist. We are seeking an experienced, self-motivated, self-driven scientist to work as a part of vibrant group in a fast-paced environment. The new Senior Bioinformatics Scientist should have wide and solid expertise in WES/WGS, GWAS and/or RNA-seq data analyses to work and lead several projects on the identification of genes dysregulated in Alzheimer disease. They will work in a collegial environment and join a multidisciplinary, diverse team in a well-stablished, well-funded research group, currently 30+ dynamic members, developing bioinformatics and analyzing multi omics data to explore the frontiers of neurodegenerative diseases.
The NGI generates and analyzes Whole-Genome and high-throughput multi-dimensional omics data to study neurodegenerative diseases of the central nervous system with emphasis on Alzheimer's and Parkinson's diseases. The goal of our research is to use genomic and multi-omic approaches to understand the biology of Alzheimer's and Parkinson diseases. Our labs have pioneered the use of new biomarkers as endophenotypes for genetic studies.

Diversity is a core value at Washington University School of Medicine and in the Department of Psychiatry. We are committed to building and sustaining inclusive and equitable working and learning environments for all students, staff, trainees, and faculty. We believe that building a diverse team enriches us individually and as a department by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. In order to achieve these objectives, candidates are expected to align with the school's mission of promoting inclusive excellence. They should be prepared to further this objective within Washington University and collaborate with diverse communities of students, faculty, staff, trainees, and patients. Visit our Websites to learn more about DEI initiatives in the Department of Psychiatry (https://psychiatry.wustl.edu/diversity-equity-inclusion-2/) and at WUSM (https://diversity.med.wustl.edu/).

Job Description

Primary duties

• Develop a wide variety of computer programs to meet the needs of data collection, quality control, analysis and report generation independently.
• Lead and manage research projects and work together with junior members to complete data processing and analysis following specific timelines.
• Lead complex data analysis and writes interpretative reports for PI’s.
• Lead and collaborate within cross-functional teams.
• Lead analytical support for internal projects and external collaborations.
• Supervise database structure: includes updating, validating, curating and harmonizing longitudinal, cross-sectional data from different sources.
• Provide a centralized, confidential and secure access to phenotypic data to Principal investigators.
• Lead the response to data queries from Principal Investigators and external collaborators.
• Create reports and prepare high technical presentations.
• Write manuscripts and communications for conference presentations.
• Present data in meetings and conferences.
• Perform other duties as assigned.

Applicant Special Instructions

Interested candidates please send cover letter and resume to Christi Gleason, Program Manager. cgleason@wustl.edu.

Preferred Qualifications

• Ph.D. degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related.
• Six years of experience working in genomics with large datasets, preferably in a research environment.
• Strong background in PLINK, QC, IBD, PCA; R, bash and excel (Python, Perl, SAS, SQL, Docker are a plus) or other analyses toolset.
• Knowledge of association analyses, PRSice, MAGENTA, Mendelian Randomization, MANTRA, Coloc, QTL and Unix/Linux.
• Excellent communication and problem solving skills.
• Familiar working in cross-functional teams.
• Knowledge of neuroscience and neurodegeneration is highly beneficial.
• Good understanding of computational biology and flexibility to work within a large dynamic scientific team.

Required Qualifications

PhD degree in computer science, bioinformatics, biostatistics, or related field, plus six years of experience; or a Master's degree in computer science, bioinformatics, biostatistics, or a related field plus ten years of experience. 

Grade

R13

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