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.

　　Duties:

　　50%: use deep learning approaches, causal inference methodologies and algorithms developed by the lab to analyze scRNA-Seq sequencing data;25%: assist with the 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 preparationFunctional Knowledge

　　Use of lab-specific computational tools and pipelines for scRNA-Seq analysis;Data analysis and applied machine learning tools using programming languages such as Python, R, Java, C , JavaScript, MATLAB, SQLDevelopment of autonomous configuration tools cutting down data integration timeBasic knowledge of Bioinformatics and Cancer BiologyProblem Solving

　　Advanced computational problem-solving abilities, proactive, task-oriented;Ability to understand research questions and apply proposed solutions, including application of quantitative frameworks to generate quantitative solutions;Leadership

　　To work effectively and collaboratively with a large and highly multidisciplinary teamTo 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;Technical Expertise

　　Computer languages and environments: Python, R, Java, C , JavaScript, MATLAB, SQLUtilization of multiple AWS tools including Lambda functions, Redshift and S3Knowledge of commonly used computational pipelines developed for scRNA-Seq data analysisCommunication Skills

　　Excellent oral and written English communicationExcellent communication of science-related topics, including Computer & Data Science, Biomedicine and EngineeringAbility to present scientific research to both experts and non-experts in the field

　　Minimum Qualifications

　　Bachelor's degree in Computer & Data Science or related field0-2 years of experience in data science, computational biology and/or bioinformaticsColumbia 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.

　　Equal Opportunity Employer / Disability / Veteran

　　Columbia University is committed to the hiring of qualified local residents.

　　Minimum Salary: 31200.00Maximum Salary: 31200.00Salary Unit: Yearly