Hi All,
Research Computing/Molecular Biology RESEARCH SOFTWARE ENGINEER
Do you want to help enable and advance groundbreaking Molecular Biology
research through software development?
Do you have a background in research but love to write code? Are you
looking to apply your scientific programming
expertise to a novel set of research problems? If so, Princeton
University's Research Computing department is recruiting
a Research Software Engineer to join the fast-growing Research Software
Engineering (RSE) Group.
In this position, you will be an integral member of multiple research teams
focused on cutting-edge computational
molecular biology and bioinformatics research. You will join teams of
researchers associated with the Department of
Molecular Biology to provide computational expertise in algorithm
development and software design in order to create
high-quality and sustainable research code.
This position will require you to work closely with colleagues in the
Office of Information Technology (OIT) as well as
with faculty, student/postdoctoral researchers, and technical staff in
Molecular Biology to enable and accelerate
research software development within the department.
Responsibilities
• Lead and co-lead the design and construction of increasingly complex
research software systems. In particular,
develop tools to assist researchers with image processing and algorithms
for analyzing high-throughput
quantitative DNA and RNA sequence analysis.
• Provide technical expertise and guidance for improving the performance
and quality of existing computational
code bases.
• Understand and address software engineering questions that arise in
research planning.
• Maintain knowledge of current and future software development tools and
techniques, programming
languages, and computing hardware.
• Transfer knowledge, expertise, and methodologies by providing technical
assistance and mentorship to graduate
students and postdoctoral researchers.
Qualifications
• Strong programming skills, particularly in languages used in Molecular
Biology applications (e.g. Python, C, C++,
R, MATLAB).
• Demonstrated successes working in a collaborative software development
environment as well as
independently.
• Ability to learn new systems beyond area of core knowledge.
• Ability to communicate effectively with a diverse user base having varied
levels of technical proficiencies.
Preferred Qualifications
• Experience with MATLAB and R for statistical and image processing.
• Bioinformatics software development experience.
• High-throughput image analysis experience.
• Academic research experience.
• Background in molecular biology, bioinformatics, or a related field.
Education
• Bachelor’s degree in a related field. A Ph.D. in a related field is
strongly preferred.
Interested candidates should apply at careers.princeton.edu and search 9275
under staff positions.
Princeton University is an Equal Opportunity/Affirmative Action Employer
and all qualified applicants will receive consideration for employment
without regard to
age, race, color, religion, sex, sexual orientation, gender identity or
expression, national origin, disability status, protected veteran status,
or any other characteristic
protected by law.
--
Best,
Gary Laevsky, Ph.D.
Director, Confocal Imaging Facility
Nikon Center of Excellence
Co-Founder, North Atlantic Microscopy Society (NAMS)
https://namsmicroscopy.com/Dept. of Molecular Biology
Washington Rd.
Princeton University
Princeton, New Jersey, 08544-1014
(O) 609 258 5432
(C) 508 507 1310
North Atlantic Microscopy Society Inaugural Symposium at Princeton
University, November 1, 2018
--
ImageJ mailing list:
http://imagej.nih.gov/ij/list.html
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