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Job Description

Position Summary

We invite talented post-doctoral candidates with a background in genomic data analysis, algorithm design, and/or machine learning to apply for a position in Dr. Jin Zhangâ™s translational genomics lab (https://sites.wustl.edu/jinzhang). The candidate will play a critical role in finding new discoveries and developing advanced genomic and data science approaches in cancer biology as applied in personalized radiation therapy (RT). The candidate will also participate in projects on multi-omics data analysis and clinical imaging data integration. The position offers an excellent opportunity to conduct research in a supportive and stimulating environment, closely collaborating with computer scientists, biologists, and clinicians within Department of Radiation Oncology and other institutes across the campus, including the McDonnell Genome Institute, Institute for Informatics, and Siteman Cancer Center.

The Cancer Biology Division within the Department of Radiation Oncology consists of a core group of clinical, physics and computational science investigators who use both archived and prospectively collected tumor samples to ask fundamental questions about radiotherapy efficacy and cancer biology. The Bioinformatics Program works closely with clinicians to identify biomarkers that can be used to stratify patients and to identify patients for targeted therapies.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Primary Duties and Responsibilities

• Develops hypotheses and designs novel genomics and data science approaches in translational cancer genomics.
• Establishes and executes pipelines through developing novel algorithms and integrating existing bioinformatics tools using next-generation sequencing and other omics data.
• Prepares and presents results of research in internal seminars and external conferences and journals.
• Assists with grant preparation and reporting.
• Trains research assistants in the lab and works with other researchers in applying the informatics tools we develop.

Required Qualifications

Applicants must have received, or will receive, a Ph.D. by May 31st, 2023, in bioinformatics, genomics, computational biology, computer science, machine learning, or a related field.

Preferred Qualifications

• Experience with bioinformatic algorithm development and/or bioinformatic data analysis.
• Proficiency in a programming language, such as Python, C++, and/or Perl.
• Proficiency in a statistical programming language, such as R and SAS.
• Experience with scientific computing and data visualization tools.
• Highly motivated with excellent oral and written communication skills.
• Understanding of current next-generation sequencing technologies.
• Understanding of statistical techniques for differential expression, gene set enrichment analysis, clustering, outcome analysis, and multivariant analysis.
• Experience with Git, Docker, and Cloud computing.
• Ability to understand concepts and techniques in machine learning with Scikit-Learn, Keras, and/or TensorFlow.

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.

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.

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