Bioinformaticist – NGS Data Analysis - Psychiatry | Washington University in St. Louis - Military Veterans

Scheduled Hours 40 Position Summary The NeuroGenomics and Informatics (NGI) group (https://neurogenomics.wustl.edu/) at Washington University School of Medicine is recruiting a Bioinformaticist to work in Dr. Cruchagas 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. Job Description 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. Preferred Qualifications Bachelors 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). 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). Experience with workflow management languages (CWL or WDL). Experience using common software (Excel, R, ggplot, PowerPoint, etc.) for preparing and presenting reports, figures, and graphic data representations. Required Qualifications Bachelors degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR masters degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years. Grade R11 Salary Range $55,200.00 - $100,000.00 / Annually The 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. Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are unable to use our online application system and would like an accommodation, please email   CandidateQuestions@wustl.edu   or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. Pre-Employment Screening 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. Benefits Statement Personal Up to 22 days of vacation, 10 recognized holidays, and sick time. Competitive health insurance packages with priority appointments and lower copays/coinsurance. Want to Live Near Your Work and/or improve your commute? Take advantage of our free Metro transit U-Pass for eligible employees. We also offer a forgivable home loan of up to $12,500 for closing costs and a down payment for homes in eligible neighborhoods. WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%. Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more! Family We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? Weve got you covered. WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the Universitys policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Diversity Statement Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.