This position resides in the Division of Laboratory and Genomic Medicine within the Department of Pathology & Immunology at Washington University in St. Louis School of Medicine. The successful candidate will serve as a project lead and perform functions essential in supporting clinical next generation sequencing (NGS) workflows and translational research projects. The clinical bioinformatician will oversee all aspects of NGS data processing, analysis, transfer, and management to support existing genetic testing workflows. The bioinformatician will also serve as the computational lead during the development/validation of new clinical laboratory tests and services. The roles of this position also include establishing and evaluating quality control metrics that are critical to both clinical data interpretation and patient care, as well as clear and concise documentation of all workflows/processes to ensure CAP/CLIA compliance. This role offers the opportunity to work in a multidisciplinary team as well as mentor both junior bioinformaticians and pathology trainees in a clinical environment that directly impacts patient care.
Primary Duties & Responsibilities
Implements algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomics/clinical].
Performs data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
Aids with clinical research projects, including design of research protocols and development of procedures for the collection, verification, management, and reporting of data.
Performs complex systems analysis of data and writes interpretative reports.
Evaluates commercial and academic bioinformatics software/tools.
Trains others on the everyday use of analysis software and clinical research databases.
Assists with new clinical test development and reporting of methods, data, and results.
Solves practical problems relating to difficulties with clinical workflows or processes; suggests technical or procedural improvements in testing methods.
Communicates analytic results to clinical staff and faculty effectively.
PhD or Masterâ™s degree in computer science, bioinformatics, biostatistics, or related field with relevant clinical laboratory experience.
Two years or more post-graduate experience with NGS data analysis, integration of multiple data platforms/APIs, and compliance with data security policies.
Previous experience working in a CAP/CLIA environment.
Expertise using GitHub, supporting secure data management and storage, and interacting with cluster and cloud environments.
Strong understanding of NGS data types and bioinformatic pipelines, including alignment and variant calling software.
Proficiency in scientific programming languages (e.g., Python, R, Perl, Java) in a UNIX/Linux and/or Windows environment.
Systems administration skills and/or experience.
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.
$53,000.00 - $96,200.00 / 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.
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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 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 Universityâ™s 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.
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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