The WashU Medicine, Department of Neurology, has an opening for a Bioinformatics Research Analyst to join the NeuroGenomics and Informatics Center (NGI). This position is ideally suited for individuals that have finalized their scientific Masters degree to hone their bioinformatics skills in the context of biomedical research. The successful candidate will be involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer's disease and related dementias. Overall, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will also help with assisting ongoing research in the lab, providing support on matters such as grant reporting, working with collaborators, data applications and storage, lab orders, establishing documentation and protocols, etc.
Primary Duties & Responsibilities:
Working Conditions:
Physical Effort:
Equipment:
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications:
Education: Bachelor's degree or combination of education and/or experience may substitute for minimum education.
Certifications /Professional Licenses: No specific certification/professional license is required for this position.
Work Experience: Relevant Experience (2 Years)
Skills: Not Applicable
Driver's License: A driver's license is not required for this position.
Preferred Qualifications:
Education: Master's degree
Certifications /Professional Licenses: No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience: No additional work experience unless stated elsewhere in the job posting.
Skills: Alzheimer's Disease, Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Functional Genomics, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Java (Programming Language), MATLAB, Model Organism, Python (Programming Language)
Grade: R09
Salary Range: $41,700.00 – $75,600.00 / 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. All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
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:
Wellness:
Family:
For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/
EEO Statement:
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
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