The Califano Lab in the Department of Systems Biology at Columbia University Irving Medical Center is seeking a Staff Associate I to support research activities in Systems Biology from the perspective of complex networks of gene interactions. Specifically, he/she will effectively assist with the application of several computational methodologies to identify and pharmacologically target Master Regulators of molecularly distinct, yet co-existing cellular states in a complex set of human malignancies utilizing the novel OncoTreat platform developed in the Califano laboratory. He/she will interact and work with a team of computational and experimental scientists, providing assistance to the alignment, analysis and interpretation of data generated, including poster and oral presentations.
50%: use deep learning approaches, causal inference methodologies and algorithms developed by the lab to analyze scRNA-Seq sequencing data;
25%: assist withthe development of sophisticated computational tools to identify Master Regulator genes that may be targeted by existing FDA-approved drugs or late stage experimental compounds, either individually or in combination, using scRNA-Seq data generated in the lab;
25%: help students and postdocs to generate figures for grant submission and manuscript preparation
Use of lab-specific computational tools and pipelines for scRNA-Seq analysis;
Development of autonomous configuration tools cutting down data integration time
Basic knowledge of Bioinformatics and Cancer Biology
Ability to understand research questions and apply proposed solutions, including application of quantitative frameworks to generate quantitative solutions;
To work effectively and collaboratively with a large and highly multidisciplinary team
To cooperate effectively with experts from diverse scientific backgrounds, including life scientists, physicists, medical doctors and engineers;
To effectively plan activities, dividing complex projects into specific tasks;
Utilization of multiple AWS tools including Lambda functions, Redshift and S3
Knowledge of commonly used computational pipelines developed for scRNA-Seq data analysis
Excellent oral and written English communication
Excellent communication of science-related topics, including Computer & Data Science, Biomedicine and Engineering
Ability to present scientific research to both experts and non-experts in the field
Bachelor's degree in Computer & Data Science or related field
0-2 years of experience in data science, computational biology and/or bioinformatics
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.