We are looking for a highly motivated post-doctoral fellow with computational biology background in the laboratory of Dr. Benjamin Izar at Columbia University Medical Center, Columbia Center for Translational Immunology and Program for Mathematical Genomics.
The successful applicant will be responsible for analyzing multi-modal single-cell RNA-sequencing, whole-exome and RNA-sequencing data integrated with highly multiplexed single-cell imaging. The candidate will be part of a multi-disciplinary team, including medical oncologists, surgeons, pathologists, computational biologists and molecular biologists to examine tumorigenesis, immune evasion and resistance to immunotherapies. The ideal candidate has a strong computational/analytical background, experience with cutting-edge research methods, and the ability to integrate into a highly collaborative effort.
· Work with computational colleagues in the group to process newly generated sequencing data and perform quality control to ensure consistency of data used for analysis
· Identify pre-existing and de novo mutational and gene expression signatures
· Apply tools to identify mutational and neo-antigen load and their heterogeneity, infer abundance of cell types of the tumor-microenvironment
· Apply tools to determine cell types and cell programs among heterogeneous cell populations measured by single-cell genomics and imaging
· Perform statistical tests to relate this information to clinical readouts, such as drug response or drug resistance
· Document progress, communicate and present analyses to computational and experimental staff
· Together with experimental staff, participate in the design of experiments based on computational analyses
· Ph.D. in a quantitative discipline (e.g. computer science, statistics, mathematics, engineering, physicist). Candidates with a B.S., M.S. or M.D. and significant experience in computational analyses will also be considered for the position.
· Proficiency in programming languages (e.g. C, Phyton) and scripting languages (e.g. R, MATLAB)
· Strong knowledge in statistics and statistical models.
· Experience in genetic analyses and familiarity with or interest in studying cancer genetics, immuno-oncology and cell biology
· Strong motivation and ability to take ownership of assigned tasks and projects
· Strong communication and interpersonal skills, ability to work effectively with expert individuals with different backgrounds in a multidisciplinary team
· Strong written and oral presentation skills
Please send applications to IzarLabPositions@gmail.com and include the following items as a single, merged PDF file.
· Cover letter (2-page maximum) indicating past, current and future research interests. Please include expected date of availability.
· Curriculum Vitae
· Names and contact information of three references
· Reprints of up to three publications (optional)