The Huang lab at NYU's Department of Biology is looking for a highly motivated and
independent individual to work as a Junior Laboratory Associate.
This position is for a trainee preparing for a research path. It will provide development of
technical skills; supervision by senior scientists incorporating individual development
plan in support of training goals and those of faculty mentor; and possible publication of
research findings during appointment period.
Responsibilities may include developing and applying machine learning and deep
neural network methods to predict DNA binding sequences for transcription factors,
designing and implementing analysis strategies for DNA affinity purification sequencing
(DAP-seq) datasets in multiple genetic backgrounds and multiple plant genomes,
building databases and web portals to host DAP-seq data, and preparing figures and
manuscripts for publication. Being able to work a flexible schedule based on research
needs and deadlines is a plus. The position is expected to be full time for one year and
renewable upon satisfactory performance and funding availability.
Projects in the Huang lab uses computational and experimental methods to investigate
functions of natural genome and epigenome variation in gene expression regulation,
and applies machine learning techniques to analyze cis-regulatory elements and gene
regulatory networks. For more information about our past and ongoing work, visit lab
website https://huanglab.rbind.io/.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this
position is $54,000-$56,000. New York University considers factors such as (but not
limited to) the specific grant funding and the terms of the research grant when extending
an offer.
The ideal candidate will have a BS in computer science with minor in biological sciences
or related field, with college level coursework in data structures and algorithms,
computer programming, biology and chemistry. Proficiencies in Python, R, SQL,
Linux/BASH programming are required. Certification in machine learning and/or deep
learning, and prior experience in software development in biological research
environment are strongly preferred.
Please upload your application materials via Interfolio. Include the following items: 1)
CV including a list of publications; 2) a short summary of your present and future
research interests; 3) a list of three references and their contact information.
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