Genome wide CRISPR lethality screens show broad variability in cellular fitness phenotypes across cancer. We postulate that genes with overlapping functions should deliver similar responses enabling functional annotation of uncharacterized genes. Here we will build a network connecting genes based on the similarity of their knockout phenotypes, benchmark this network using protein interaction databases and functional transcriptomics, and leverage network analyses to identify mutational and transcriptional modulators of functional complexes.

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A highly collaborative project is available in Dr. Alison Taylor’s and Dr. Fatemeh Momen-Heravi’s lab. This project aims to identify molecular changes such as mutations and RNA signature of head and neck cancer in Black/African American and Hispanic minority populations with the goal of identifying novel therapies for cancer patients and reduce health disparities. The project entails analysis of DNA and RNA sequencing data. Basic coding skills are necessary and the student will be mentored by both principal investigators. The prospective candidate should be motivated, a fast learner, and be able to work in a highly collaborative team environment.

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We have a position open for a student(s) who is/are interested in working on systems biology projects in bladder and prostate cancer. Specifically, we are looking for students who are well versed in statistical analysis, basic understanding of standard statistical techniques (appied to biology is a plus) and knowledge of R is required. The position will entail supporting post-doctoral members of the lab with computational analyses of different types of biological data in a wide range of projects.

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Immune checkpoint blockade therapy has shown successful clinical outcomes in the treatment of various solid tumors such as head and neck squamous cell carcinoma (HNSCC), melanoma, non-small cell lung cancer (NSCLC) and others. However, immune checkpoint inhibitors work best in patients who exhibit certain tumor biomarkers. In a collaboration with the Department of Hematology Oncology, the Department of Systems Biology, and the Mailman School of Public Health at Columbia University we aim to identify biomarkers which are associated with treatment outcome in patients with solid tumors who underwent immunotherapy. The project includes bioinformatic analysis of sequencing data. Mentoring and training will be provided.

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A highly collaborative project is available in Dr. Alison Taylor’s and Dr. Fatemeh Momen-Heravi’s lab. This project aims to identify molecular changes such as mutations and RNA signature of head and neck cancer in Black/African American and Hispanic minority populations with the goal of identifying novel therapies for cancer patients and reduce health disparities. The project entails analysis of DNA and RNA sequencing data.

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A translational medical informatic project is available to identify risk factors associated with head and neck cancer and lung cancer in electronic medical records. Projects include data extraction, data curation, and establishing and maintaining a database of biospecimens and patients' characteristics. Statistical analysis and modeling will be done to identify clinical characteristics and risk factors which are associated with aggressive form of tumors. Training and mentorship will be provided. Prospective candidates should have great communication skills, willingness to work in a highly collaborative environment, and have excellent time management and organizational skills.

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