Graduate Students

Please email Dr. Jess or fill out form below.

Current WUSTL Undergraduate Students/Fellows (Trainees) are always welcomed.

We are also open to students from other universities that need to receive credit through a program (i.e internships).  

Please fill in form or email me directly to inquire.


Postdoctoral Research (Scholar or Associate)

Long non-coding RNAs, Genomics, Cancer metastasis

The Silva-Fisher Lab is seeking a postdoctoral researcher to work on RNA Cancer Biology of cancer metastasis. The overall research focus is to study the basic mechanisms of regulatory RNAs including non-protein coding genes called long non-coding RNAs (lncRNAs) to target them and use them for new cancer treatments. The Silva-Fisher lab consists of a bioinformatics dry lab and a wet lab that work together as a team to identify and characterize mechanisms of long non-coding RNAs in metastatic cancer. Research projects include: 1) defining the mechanisms of metastatic progression, 2) understanding how lncRNA-protein interactions promote tumor growth, 3) evaluating RNA modifications in cancer, and 4) assessing the contribution of long non-coding regulation in drug response and treatment resistance. Visit Silvafisherlab.com to read recent publications.

The postdoctoral researcher will have the opportunity to work with Dr. Jessica Silva-Fisher, the Breast Cancer Research Program, Multiple Myeloma Group, and Single Cell RNA Sequencing Group. In addition to high-quality research facilities, career and professional development training for postdoctoral researchers is provided by Dr. Silva-Fisher and through the Mentorship to Enhance Diversity Program, Career Center, Teaching Center, Office of Postdoctoral Affairs, and campus groups. Additional information on being a postdoc at Washington University in St. Louis can be found at postdoc.wustl.edu/prospective-postdocs.

Dr. Silva-Fisher will also work closely with the postdoctoral researcher to develop an Independent Research Plan for their career development.

A description of qualifications for the candidate

Preferred Qualifications

PhD in Biochemistry and Molecular Biology, Biomedical Sciences, Cancer Biology, Cancer Genetics or Genomics

  1. Background in molecular or cellular biology or RNA biology or Genetics. 

  2. Demonstrated ability to implement laboratory procedures, conduct research and records findings.

  3. Independent, self-motivated and eager to acquire new knowledge and skills on a regular basis.

  4. Ability to analyze, interpret, and communicate results with others.

  5. Experience working in a wet lab setting with background in RNA biology, molecular and cellular biology, including techniques such as cell culture, RNA isolation, qPCR, cloning, in vitro assays assessing (proliferation, apoptosis, and metastasis, flow cytometry, and experience with mice.

Please apply fill in form or email me directly to inquire.


Bioinformatics Research Assistant

Position Summary

Washington University in St. Louis, Division of Oncology, in the laboratory of Dr. Jessica Silva-Fisher and the laboratory of Dr. David Spencer are seeking a Bioinformatics Research Assistant to assist with research projects including computational data analysis and documentation in the field of hematological malignancies and breast cancer.

Job Description

Primary Duties and Responsibilities

  • Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; data management and analysis solutions that assist in storage, investigation, and dissemination of large data sets.

  • Works with research team to develop new algorithms to support studies.

  • Assists with reporting of methods, data, and results.

Preferred Qualifications

  • Analytical, reasoning, and problem-solving skills.

  • Good understanding of computational biology.

  • Ability to analyze and interpret large complex data sets, such as sequences, 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.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field required; or combined education and experience of five years.

Please apply here or fill in form or email me directly to inquire.



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