Research Software Engineer
Requisition # 2018-9275
Department Research Computing
Category Information Technology
Full-Time / Part-Time Full-Time
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 the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton's computational research software. Our group is committed to building collaborative environments in which the best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques in new and emerging areas.
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.
If you have a strong background in scientific programming, academic research, and an interest in molecular biology you have the right skill set to make an immediate impact on multiple high-profile research projects.
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.
- 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
- 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.
- 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.
Bachelor's degree in a related field. A Ph.D. in a related field is strongly preferred
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. EEO IS THE LAW
Standard Weekly Hours
Eligible for Overtime
Essential Services Personnel (see policy for detail)
Physical Capacity Exam Required
Valid Driver's License Required
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Princeton University job offers are contingent upon the candidate's successful completion of a background check, reference checks, and pre-employment screening, as applicable. The type and extent of background check, reference checks, and pre-employment screening may vary depending on the requirements and/or functions of the job and the candidate's current employment status with Princeton University.
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