Bioinformatics Research Analyst (Zhao Lab)

Neuroscience

Position summary

Provides critically complex research and data analysis allowing the advancement
of scientific analysis and discovery.

Primary duties and responsibilities

The laboratory of Guoyan Zhao, PhD, employs multiple cutting-edge technologies in genomics and computational biology to investigate the development and function of mammalian brains in the context of human health and disease. Current areas of interest include applying single-nucleus RNA-sequencing and spatial proteomics technologies on human brains to understand disease pathogenesis of Alzheimer disease (AD), Parkinson disease (PD) and Lewy body diseases (LBDs). The position requires working collaboratively with a team of experimental and computational biologists focusing on single-nucleus RNA-seq data analysis and “multi-omics” data integration with a main goal to identify genetic markers and mechanisms of neurodegeneration that will lead to better disease diagnosis, treatment and eventually cure. The candidate will be under the supervision of the PI to implement algorithms and computer software for analyzing omics-based data sets (e.g., high-throughput genomic, proteomic and epigenomic data), carry out innovative research, assist with grant preparation and reporting, and prepare and submit papers for publication. Successful candidates will have opportunities to travel and to present at national and international conferences.

Preferred qualifications

  • We encourage applications from recent graduates who have solid bioinformatics, statistical or mathematical training and are enthusiastic about applying these skills in neurodegenerative disease research. Alternatively, biologists with some experience in bioinformatics or statistics who would like to expand their expertise in bioinformatics are encouraged to apply. Prior experience in large-scale “omic” data analysis is desirable but not required.
  • Experience in large scale data analysis (e.g., RNA-seq, ChIP-seq, single cell RNA-seq) with relevant bioinformatics tools (e.g., Seurat, STAR, DESEQ2)
  • Proficiency in scientific programming languages (e.g., Perl, Python, R), in a Linux/UNIX and/or Windows environment
  • Knowledge or experience in molecular biology. Knowledge of neuroscience and neurodegeneration is a plus
  • Analytical, reasoning, and problem-solving skills
  • Highly motivated, well organized with excellent oral and written communication skills
  • Ability to work independently, as well as part of a team, establishing and maintaining good working relationships with P.I. and other members of the research group

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.

Salary range

$38,900.00 – $70,600.00 / 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.

To apply go to jobs.wustl.edu and search job ID JR66744 or click here.

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

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.

EEO/AA statement

Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

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.