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Posted: 27-Jul-23
Location: ST. LOUIS, Missouri
Type: Full-time
Salary: Open
Internal Number: JR76327
Job Description
Position Summary
Single-cell Cancer Epigenetics and Bioinformatics. Postdoctoral positions are available in the laboratory of Yang E. Li (sites.wustl.edu/yelilab) in the Department of Neurological Surgery and Genetics, Washington University School of Medicine (WUSM). Our laboratory aims to develop innovative computational tools/methods and utilize single-cell (epi)genomic techniques to gain a comprehensive understanding of gene regulation in mammalian models and human diseases, particularly in brain tumors and neuropsychiatric disorders.
We aim to integrate single-cell multi-modal omics datasets to understand the epigenetic regulation in glioblastoma progression, and decipher the regulatory codes by developing interpretable deep learning models. Together, we can make a significant impact on the understanding of complex regulatory process and empower precision medicine of brain tumor and mental disorders.
Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
Primary Duties & Responsibilities
Potential Projects:
- Mapping the epigenetic landscapes in human brain tumors using single-cell multi-modal omics.
- Characterizing epigenetic and transcriptomic heterogeneity in primary glioblastomas and in matched patient-derived models.
- Deciphering the conservation of regulatory codes across species.
- Developing computational tools/models and web portals.
Required Qualifications
- Candidates must hold a Ph.D and/or M.D. degree (or anticipate receiving their degree in the near future) in Computational Biology, Bioinformatics, Cancer biology, or a related field.
- Strong background and expertise in computational biology, with specific knowledge of deep learning and single-cell technologies.
- Proficiency in programming languages such as Python, R, HTML, Javascript, or Go/Rust.
- Demonstrated ability to analyze large-scale biological datasets and apply statistical and machine learning techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication skills, with the ability to collaborate effectively within a multidisciplinary team.
Preferred Qualifications
- Candidates with broad backgrounds in bioinformation/computational biology, genetics, evolutionary biology and cancer biology, are all welcome to apply.
- Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow) and single-cell analysis tools (e.g., Seurat, Scanpy, SnapATAC) is highly desirable.
Working Conditions
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Salary Range
Base pay is commensurate with experience.
Applicant Special Instructions
To apply, please submit the following documents to Yang E. Li, PhD at yeli@wustl.edu:
- Cover letter expressing your interest and highlighting your relevant experience.
- Curriculum Vitae (CV) with a list of publications.
- Contact information for at least two professional references.
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.
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 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.Diversity Statement
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.
