We are always looking for creative, enthusiastic, and productive people who would like to work in an exciting, highly collaborative research environment.

Open Positions

Postdoctoral Research Scientist WUSTL – GSK

Description

The Cruchaga lab  in collaboration with the GSK Genetics Therapy Area is recruiting a self-motivated, self-driven Postdoctoral Research Scientist to work on QTL mapping, Colocalization and Mendelian Randomization. Our group generates and analyzes genetic and multi-tissue proteomic data from large and well characterized cohorts of Alzheimer disease cases and controls.
Proteomic and other omic data (transcriptomics, metabolomics and lipidomics) will be used to perform QTL mapping, Colocalization and Mendelian Randomization to identify novel causal genes, proteins and pathways for Alzheimer disease risk, onset and progression, as well as to create new prediction models and identify druggable targets.



We are seeking a highly motivated researcher with strong analytical skills, especially in Quantitative human genetics and Mendelian Randomization to lead the analyses for these projects. The new Postdoctoral Research Scientist will join a large team, currently 30+ members, which is led by three faculty members, four postdocs, several PhD students, and three senior scientists.

Required Qualifications

    A successful applicant will have:

  • A PhD in Neurogenetics, Neuroscience, Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a related discipline involving the interrogation of ‘omics’ datasets, or expect to obtain a degree in the near future

  • Hands-on experience using PLINK, IBD, PCA, association analyses, R, Bash and excel

  • Knowledge of PRSice, MAGENTA, MANTRA, Mendelian Randomization, Coloc, QTL, SKAT is a plus

  • Solid skills in at least one programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments

  • Familiar with large-scale human genomics or other omics, preferably related to neurodegeneration

  • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches

  • Familiarity with interrogation of publicly available sources, highly beneficial

  • Exposure working in cross-functional teams

  • Opportunities to participate in translational projects, multi-omic analysis and machine learning approaches

Department Name/Job Location

This position is a collaboration between the Cruchaga Lab and GSK and located at the NeuroGenomics and Informatics Center, Department of Psychiatry, Washington University in St. Louis. Regular interactions with the GSK team including short internships at GSK labs is expected.

Applicant Special Instructions

Interested candidates should send cover letter and CV to Oscar Diaz Ruiz, PhD, Program Manager (doscar@wustl.edu)

EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

Postdoctoral Positions in Alzheimer Disease: Multi-omics

Description

The Cruchaga lab at Washington University School of Medicine is recruiting multiple Postdoctoral Research Scientists. The NGI generates and analyzes Whole-Genome Sequencing data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other dementias. The ultimate goal of the NGI is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutic targets. The Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes.

We have pioneered the use of whole-exome sequencing (WES) and whole-genome sequencing (WGS) data in familial (Cruchaga et al., Nature 2013., Fernandez et al., Eur J HumGenet 2016, Fernandez et al., PLoS Genetics 2017, Fernandez et al., Front Neuroscience 2018) and sporadic (Jin et al., Alzheimer Res Ther 2012, Benitez et al., PLoS Genetics, 2013, Benitez et al., N Engl J Med 2013 Jin SC Human Mol Genet 2014) Alzheimer disease to identify novel variants and genes associated with disease risk.

We have recently received several NIH R01 awards to generate and analyze large WGS datasets for both familial Alzheimer Disease and sporadic early-onset cases. We are seeking highly motivated researchers with strong analytical skills, especially in genetics and WGS/WES analyses to lead the analyses for these projects. The new postdoc(s) will join a large team, currently 30+ members, which is led by three faculty members, four postdocs, several PhD students, and three senior scientists.

Required Qualifications

    A successful applicant will have:

  • A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a related discipline involving the interrogation of ‘omics’ datasets, or expect to obtain a degree in the near future

  • Hands-on experience using PLINK, SKAT, BWA, and/or GATK with large-scale human genomic or other omics (preferably related to neurodegeneration) studies
  • Solid skills in at least one programming language (R, python, or perl) and experience working in Linux and/or high-performance cluster environments
  • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches
  • Familiarity with interrogation of publicly available resources (highly beneficial)

Department Name/Job Location

This position is the NeuroGenomics and Informatics group (Department of Psychiatry) at Washington University. Benefits This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits: https://hr.wustl.edu/benefits/.

Applicant Special Instructions

Interested candidates should send their cover letter and CV to Dr. Cruchaga (cruchagac@wustl.edu )

EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

Bioinformatics Research Analysts – GWAS or WGS/WES

Description

The NeuroGenomics and Informatics (NGI) Center lead by Dr. Carlos Cruchaga at Washington University School of Medicine is recruiting Bioinformatics Research Analysts to work on


Genome-Wide Association Studies (GWAS)


OR


Whole Genome and Whole Exome Sequencing (WGS/WES) 


We are seeking self-motivated, self-driven analysts to work as a part of vibrant group in a fast-paced environment. The NGI generates and analyzes Whole-Genome and high-throughput multi-dimensional omic data to study neurodegenerative diseases of the central nervous system with emphasis on Alzheimer’s and Parkinson’s disease.  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.


Duties and Qualifications

Duties


  • Develop computer programs to meet the needs of data collection, quality control, analysis and report generation

  • Perform data analysis and writes reports

  • Collaborate within cross-functional teams

  • Provide analytical support for internal projects

  • Maintain 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, staff and users

  • Respond to data queries from Principal Investigators, staff and external collaborators




Qualifications

  • Master degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related 

  • Experience working in genomics with large datasets, preferably in a research environment 

  • Proficient in PLINK, QC, IBD, PCA; R, bash and excel (Python, Perl, SAS, SQL, Docker are a plus) or other analyses toolset

  • Working 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

  • Good understanding of computational biology and flexibility to work within a large dynamic scientific team

Department Name/Job Location

This position is located in the Cruchaga lab at the Department of Psychiatry, Washington University St. Louis.

Benefits This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits: https://hr.wustl.edu/benefits/.

Applicant Special Instructions

Interested candidates send cover letter and CV to Oscar Diaz Ruiz, PhD, Program Manager (doscar@wustl.edu )

EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

Programmer

The Cruchaga lab at Washington University School of Medicine is looking for a Programmer to join our team.

We are seeking applicants for a Programmer position to create and maintain relational and non-relational databases for research projects, develop websites to share scientific data and analyses, and provide support for computing in cloud / cluster environments.

PRINCIPAL DUTIES & RESPONSIBILITIES:

Essential Functions:

  1. Collaborate on the design of SQL and NoSQL databases.
  2. Write and optimize SQL queries and reports
  3. Migrate and consolidate data from other systems
  4. Develop data acquisition processes from technical instruments
  5. Develop, deploy and maintain Web applications (Using R shiny or Python Web frameworks Django, TurboGears or web2py)
  6. Creating Docker containers
  7. Develop processing pipelines for cluster environments

CRITICAL SKILLS/EXPERTISE: The candidate will hold a bachelor’s degree in Computer Science, IT-related degree, Statistics, Bioinformatics, Biostatistics, Mathematics or similar.

The candidate should have a background in programing SQL queries, and python/R (ideally developing Web applications using R Shiny), Unix (bash scripts), working knowledge of Python (using any Web application framework) HTML, CSS and JavaScript. Ideally he/she should have experience coding in FileMakerPro and NoSQL queries  and should be familiar with Agile methodologies. In addition, it would be ideal to have wxperience computing in cluster environments (Portable Batch System/ Load Sharing Facility), cloud computing (AWS), sysadmin experience (linux), and Familiarity with docker (Dockerfile authoring, detached execution),

Applicant Instructions

Interested candidates should send their cover letter and CV to Dr. Cruchaga (cruchagac@wustl.edu )

Bioinformatics Scientist for Genome Wide Association Studies

The NeuroGenomics and Informatics (NGI) Center lead by Dr. Carlos Cruchaga at Washington University School of Medicine is recruiting a Bioinformatics Scientist to work on Genome-Wide Association Studies. We are seeking an experienced, self-motivated, self-driven scientist to work as a part of vibrant group in a fast-paced environment.  

The NGI generates and analyzes Whole-Genome and high-throughput multi-dimensional omic data to study neurodegenerative diseases of the central nervous system with emphasis on Alzheimer’s and Parkinson’s disease.  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.cluster environments.

Duties

  • Independently develop a wide variety of computer programs to meet the needs of data collection, quality control, analysis and report generation
  • Perform complex data analysis and writes interpretative reports
  • Collaborate within cross-functional teams
  • Provide analytical support for internal projects and external collaborations
  • Improve and 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
  • Respond to data queries from Principal Investigators and external collaborators

Qualifications

  • Ph.D. degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related.
  • At least two 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
  • Good understanding of computational biology and flexibility to work within a large dynamic scientific team

Applicant Instructions

Interested candidates should send cover letter and CV to Oscar Diaz Ruiz, PhD, Program Manager (doscar@wustl.edu )

Fulfilled Positions

Project Manager

The Cruchaga lab is looking for an experienced project manager to work directly with the center director. The project manager will be responsible for the oversight and administration of multiple research projects progress report and manuscript writing, and publication, coordination of the activities of a multidisciplinary team, or interfaces with multiple levels of the organization and external entities to ongoing and future projects

PRINCIPAL DUTIES & RESPONSIBILITIES:

Essential Functions:

  1. Holds responsibility for day-to-day activities of the Neurogenomics and Informatic center.
  2. Assists with drafting, writing, editing, and galley-proofing of progress report abstracts and article for publication
  1. Composes annual report for the center, maintain content for the center website and social media
  2. Supervises support staff and advises senior faculty in personnel management or internal policy.
  3. May prepare and maintain minutes from meetings, formal voting procedures, and committee activity related to proposals, ensuring follow up on decisions made.
  4. Provides planning and coordination of meetings and schedules various events and/or training.
  5. Establishes/enhances various contacts’, and contact with other centers and research groups to facilitate collaboration and exchange of information.
  6. Participates in project review meetings and report preparation and analysis.

CRITICAL SKILLS/EXPERTISE

  • Excellent administrative skills.
  • Experience with research required
  • Applicant should have significant experience with word processing, spreadsheets, graphics, and the applicant must have database and internet experience.
  • Excellent oral and written communication is required.
  • Applicant must be able to work independently and manage multiple assignments with various levels of priority.
  • Attention to detail and accuracy are essential

Department Name/Job Location

This position is the NeuroGenomics and Informatics group (Department of Psychiatry) at Washington University.

Benefits

This position is eligible for full-time benefits. Please click the following link to view a summary of benefits: https://hr.wustl.edu/benefits/.

Applicant Special Instructions

Interested candidates should send their cover letter and CV to Drs. Cruchaga (cruchagac@wustl.edu )

EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.