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. The position is located at Taylor Avenue Building. This position is for the Medical School Campus.
Essential Functions:
POSITION SUMMARY: We are seeking applicants for a Bioinformatician position to work with single-cell RNA-seq data from human brains with the goal of identifying and characterizing novel biological insights of Alzheimer’s disease (AD) and other neurodegenerative diseases. This scientist will assist in developing and conducting research projects, including experimental design, data analysis and documentation of experimental results. He or she will follow instructions and maintain discussions with principal investigator and other members of the team, designs research protocols, including developing procedures for the collection, verification and management of data, code and test solution. In addition, (s)he will assist with grant preparation and reporting, perform complex statistical analysis of transcriptomic data and write interpretative reports, verify the correctness of the data submitted and makes recommendations based on these analyses. Finally, (s)he will document research topics and prepares and submits papers based on research work to publications and committees for publication or presentation to peers. PRIMARY DUTIES AND RESPONSIBILITIES: - Implements:
- Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical].
- Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
- Coordinates research project with other investigators and institutions.
- Participates in developing hypotheses and experimental design.
- Assists with reporting of methods, data, and results.
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:
- PhD in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets.
- First-hand experience in the analyses, harmonization and integration of single-cell RNA-seq data.
- First-hand experience in the analyses in human genomics high-throughput data.
- Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner.
- Expertise in standard bioinformatics tools.
- Programming in R/Python/Bash.
- Working in high performance cluster environments.
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. |
