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.
Job Type/Schedule:
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Psychiatry. This position is for the Medical School Campus.
Essential Functions:
POSITION SUMMARY: The NeuroGenetics and Informatics (NGI) center (https://neurogenomics.wustl.edu/) at Washington University School of Medicine is recruiting a Bioinformatics Research Analyst to work in Dr. Ibanez group at the Washington University School of Medicine. The NGI generates and analyzes high-throughput multi-dimensional omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The goal of Dr. Ibanez research is to use omic approaches to generate biomarkers for Alzheimer’s Disease, Parkinson Disease and other neurodegenerative disease. Her lab is focused on the generation of minimally-invasive tools to predict neurodegenerative diseases and monitor it progression and response to treatment using RNAseq data and Machine Learning algorithms. We are looking for a Bioinformatics Research Analyst with expertise RNA-seq data analyses and machine learning to work in different projects focus on the identification of genes dysregulated in Alzheimer disease and Parkinson’s disease that can be used as biomarkers. She/he will join a multi-disciplinary 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. The candidate will hold a master in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in RNA-seq analyses (STAR, SALMON, DESEQ2) and Machine Learning. A working knowledge of UNIX, Perl/Python, R and Docker are also required. PRIMARY DUTIES AND RESPONSIBILITIES: - To write and optimize analyses pipelines (scripts) for RNA-seq.
- Analyze data including QC, and organize the data properly.
- Perform statistical analyses.
- Create reports of the analyses.
Required Qualifications:
Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years.
Preferred Qualifications:
- The candidate will hold a master in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar.
- Five years of experience in research lab operations or equivalent combination of education and experience equaling 12 years required.
- The candidate should have a strong background RNA-seq analyses (STAR, SALMON, DESEQ2) and Machine Learning.
- A working knowledge of UNIX, Perl/Python, R and Docker are also required.
Salary Range:
The hiring range for this position is $40,705 - $54,932 annually.
Pre-Employment Screening:
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, 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:
This position is eligible for full-time benefits. Please click the following link to view a summary of benefits: https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7.
Internal Applicant Instruction:
This position is grade R09.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation. |
