Bioinformaticist â€“ NGS Data Analysis - Psychiatry
Washington University in St. Louis
Location: St. Louis, Missouri
Internal Number: JR60553
The NeuroGenomics and Informatics (NGI) group (https://neurogenomics.wustl.edu/) at Washington University School of Medicine is recruiting a Bioinformaticist to work in Dr. Cruchagaâ™s lab at the Washington University School of Medicine. The NGI holds NGS data (WES and WGS) from over 10,000 subjects that is locally generated or from public repositories. At the NGI we are constantly growing our dataset and generating new data-freezes; as such we are constantly improving and updating our pipelines to keep up with advances in the field.
We are seeking a talented and motivated employee to make important contributions to the study of the genetics of Alzheimer Disease and related dementias. This position will work directly with the head of the Genomics Unit at the NGI to organize, develop, implement, and manage genome processing that will be used in downstream analysis and projects. They will join a team of computational and statistical researchers working in bioinformatics, statistical genomics, and genetics. The team comprises over 20 people dedicated to understanding the architecture of neurodegenerative diseases.
Primary Duties and Responsibilities
Revise and improve existing NGS data processing and analysis pipelines, including QC,data organization, and back up.
Consistently improve pipelines as datasets/requirements change and adapt to new computational environments.
Provide advice on data processing and analysis to other team members.
Assist other team members in receiving and sharing data from collaborators.
Manage, teach, and supervise junior scientists in processing sequencing data.
Participate in meetings within the group and with other institutions and investigators.
Assist in manuscript, grant, and report writing sections such as materials and methods and results.
Bachelorâ™s degree or advanced degree (or combined education and work experience of 10 years) in bioinformatics, biostatistics, computer science, or related areas.
Experience processing and analyzing next generation sequence data (whole exome and whole genome), preferably in the area of human genetics.
Experience handling hundreds-to-thousands of samples at once from different batches and how to deal with potential derived artifacts.
Basic knowledge of statistics and hypothesis testing.
Familiarity with other data types (GWAs, RNASeq) is highly valued.
Advanced knowledge of Unix-based operating systems.
Experience with basic system administration.
Proficient in computing skills and knowledge of R, Python, and/or similar scripting languages is essential.
Experience working with containers in HPC (e.g. LSF/SLURM/EC2) and cloud environments (e.g. AWS/EC2/Batch) is highly valued.
Experience with workflow management languages (CWL or WDL) is highly valued.
Experience using common software (Excel, R, ggplot, PowerPoint, etc.) for preparing and presenting reports, figures, and graphic data representations.
Bachelorâ™s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR masterâ™s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years.
$51,400.00 - $93,400.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individualâ™s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment â“ fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.
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