This section list any available positions for Administrative or Research Staff (Non-Postdoc).

Please visit the Princeton University Job Website to view all available opportunities, and to formally apply.


Opportunities are displayed by Date Posted in descending order (newest to oldest).

Posted on: Jan 19, 2023

Research Specialist I/II - Req: ID 2022-16150

Position Summary

The Pritykin lab in the Computer Science Department and the Lewis-Sigler Institute for Integrative Genomics seeks applicants for Research Specialist I / Research Specialist II. The rank and salary will be commensurate with experience. 

We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to addressing fundamental problems in biology and medicine using cutting-edge technologies.

The Pritykin lab (http://pritykinlab.princeton.edu) uses applied statistics, machine learning, and efficient algorithms to address fundamental problems in biology and medicine by integrative analysis of multi-dimensional data. We develop and apply computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on single-cell, spatial and genome editing technologies. We are driven by questions in regulatory genomics, cancer immunology, and genome editing.

For this position, we are seeking motivated and highly organized individuals interested in learning about and getting fully embedded into one or more of specific scientific directions of our lab. Successful candidates will be expected to be able to read scientific literature to obtain the necessary biological background and become familiar with one or more data modalities (bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, Hi-C, CRISPR screens) and datasets we and others have generated for our projects. In addition, the person in this position will need to become familiar with the computational methodology and pipelines to analyze such data.

Specific duties include:

Research assistance in computational biology:

  • Reading scientific literature and obtaining necessary biological background
  • Getting familiar with one or more data modalities (bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, Hi-C, CRISPR screens) and datasets we and others have generated for our projects
  • Getting familiar with computational methodology and pipelines to analyze such data
  • Implementing or adopting these computational methods and applying them to analyze and visualize data
  • Regularly discussing progress with collaborators within and outside the lab
  • Preparing figures, presentations, reports, publications with results

A successful candidate will have an opportunity to contribute to a range of exciting collaborative projects in the lab, and eventually develop and lead new projects. This position is an excellent training opportunity before graduate or medical school or for achieving other career advancement goals. We are happy to provide a supportive and productive research environment.

Essential qualifications:

  • A bachelor’s or master’s degree in a relevant field is required.
  • Programming in R and/or Python.
  • Practical experience with data analysis and visualization.
  • Basic math and applied statistics background.
  • Scientific research experience.
  • Excellent communication and organizational skills.
  • Strong attention to detail.

Preferred qualifications:

  • Experience in computational biology, bioinformatics, biological or health data analysis.

The position is open and review of applications will begin immediately. Appointments are for one year, with possibility for renewal pending satisfactory performance and continued funding. The position is subject to the University's background check policy. Please email Dr. Yuri Pritykin at pritykin@princeton.edu with any questions about the position.

*Applications should be submitted online at Princeton University's Careers Site (Requisition Number: 2022-16150).*

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.

Posted on: Oct 20, 2022

Data Scientist position available through the Princeton Precision Health Initiative at Princeton University

Position Description

The new Princeton Precision Health (PPH) initiative is seeking to hire a staff scientist in the area of data science and computational biology. This position is at the rank of Professional Specialist and will initially be a three-year term position, with the possibility of renewal based on job performance and funding availability.

The PPH initiative is taking an interdisciplinary, data-driven approach to healthcare, leveraging the synergy of science and policy to enable targeted solutions to biomedical, clinical, and societal challenges and support precision health. Professional data scientists with expertise in both computer science and in genomics and/or biomedical research will be key contributors to the success of PPH.

The position will report to Professor Olga Troyanskaya, the Director of PPH, though the data scientist will have the opportunity to work with multiple groups participating in PPH research, providing data analysis expertise across this interdisciplinary research space at Princeton. The data scientist should have a strong track record in data science and its application in the life sciences, the biomedical domain, or other health-related field so that they can successfully develop and apply computational methods for a variety of applications. In addition, candidates should have experience with creating robust software code that can be shared across groups and with the biomedical research community at large. The data scientist will need to serve as a hub for collaborative projects across disciplines; thus, extensive research experience is required.

How to Apply

Applications must be submitted online at https://www.princeton.edu/acad-positions/position/28182.

Applications must include a curriculum vitae and contact information for three references.

Essential Qualifications:

- A PhD in Computer Science, Computational Biology, or a related field.

- At least ten years prior research experience in data science or computational biology.

Preferred Qualifications:

- At least five years prior research experience in genomics and/or sequencing data analyses.

This position is subject to the University's background check policy.

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.

Posted on: Sep 30, 2022

Research Specialist I/II - Requisition: ID 2022-15710

Position Summary

The Lewis-Sigler Institute for Integrative Genomics at Princeton University seeks applicants for a Research Specialist I or II to join the laboratory of Shawn Davidson, Ph.D. whose research focuses on understanding cellular metabolism in cancer and neurodegenerative diseases. We are seeking a highly motivated and organized individual to work on a fast-paced interdisciplinary project to use a cutting edge metabolomic platform. 

The rank and salary will be commensurate with experience. The position will start immediately and will end on June 1, 2023.

Responsibilities:

Duties will principally include assay development for imaging mass spectrometry and using genetic and pharmacological interventions to validate metabolic targets in cell culture and transgenic mouse models. The candidate will work closely with PIs, post-docs, and graduate students in the Davidson and neighboring laboratories at Princeton University.

The successful candidate will have the opportunity to strengthen experience in mass-spectrometry, wet-lab rodent research methods and techniques, as well as experience in molecular and cell biology and engineering. 

Essential qualifications

  • A bachelor’s degree in Biological Sciences, and at least six months of experience working/performing research in a biological laboratory is preferred, with a working knowledge of molecular biology and genetics.
  • Previous experience in the ethical and humane use of animals in laboratory research is also preferred; willingness to work with animals is required.
  • Excellent communication skills (verbal and written) as well as strong interpersonal skills and experienced working in a team are required
  • Must be comfortable summarizing and reporting results to researchers.
  • Demonstrated commitment to exceeding quality standards and providing exceptional services, meticulous attention to detail, practiced documentation skills, and a commitment to producing accurate and high-quality work are required.
  • Awareness of basic safety issues is also required, as well as the ability to follow safety procedures and maintain a safe work environment.

Preferred qualifications:

  • The ideal candidate is one who seeks professional development as a scientist and is therefore interested in reading the current scientific literature and conducting an independent research project

The final candidate will be required to complete a background check successfully

*Applications should be submitted online at Princeton University's Careers Site (Requisition Number: 2022-15710).*  Required application documents: Resume/CV, cover Letter, one letter of reference for application, please list two other references on your CV.

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.

Posted on: Aug 25, 2022

Data Curation Scientist
Lewis-Sigler Institute for Integrative Genomics
Princeton University

Position Description

The Lewis-Sigler Institute for Integrative Genomics seeks a molecular/computational biologist at the Associate Professional Specialist rank in Kara Dolinski's biological database group at Princeton University.

This is a one-year term position, with the possibility for renewal pending satisfactory performance and continued funding.

The primary duty of this position is to analyze data obtained from scientific literature, systematic functional analysis projects, and the submissions of database users, primarily for the BioGRID database of molecular interactions (https://thebiogrid.org/). Data Curation Scientists are expected to perform analyses that require a high-level understanding of the biomedical scientific literature and experimental procedures at both the gene and the genome level. Data Curation Scientists also contribute to the design and implementation of new tools that aid in the display and analysis of biological data. The Data Curation Scientist will work as part of a team of biologists and software developers to maintain the databases and have an important role in providing online assistance to the databases' users and serving as representatives of the group at scientific meetings. This position will be specifically focused on the collection of COVID19-related data sets, with the opportunity to contribute in other areas as necessary for the overall BioGRID project. Candidates must hold a Ph.D. degree in the biological sciences, computational biology, or a related field.

Candidates must possess excellent written and oral communication skills, actively participate in group discussions, and apply critical thinking in problem solving. Experience in performing and analyzing genome-wide studies is preferred. Previous work with biological databases is very beneficial.

Essential Qualifications

- Ph.D. in the biological sciences, computational biology, or a related field. 

Preferred Qualifications

- Experience in performing and analyzing genome-wide studies.

- Work with biological databases / data management.

How to Apply

- Applications must be submitted online, at the following URL: https://www.princeton.edu/acad-positions/position/27341

- Applications must include a curriculum vitae, cover letter, and contact information for three references.

These positions are subject to the University's background check policy.

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.

Posted on: Nov 11, 2021

Research Specialist I/II - Req: ID 2022-16013

Position Summary

The Rabinowitz lab seeks a Research Specialist I or II in mass spectrometry to contribute to the operations and research efforts of their ~ 25-member team at Princeton University. The rank and salary will be commensurate with experience.

The Rabinowitz lab studies metabolism, with the overarching goal of applying this knowledge to the treatment of human disease (cancer, obesity, aging) and the production of biofuels. The lab is a leader in liquid chromatography mass spectroscopy (LC-MS) and isotope tracing of metabolism. 

This position offers a competitive salary plus a comprehensive suite of benefits including healthretirement, and life insurance.

This will be a one-year term position, with the possibility of renewal contingent upon continued funding and satisfactory performance. The position is open and review of applications will begin immediately.

Primary work responsibilities include:

  • Mass spectrometry instrument maintenance
  • Sample preparation and analyses
  • Organization and record keeping
  • Interfacing with instrument company representatives

For interested individuals, the position also offers the opportunity (but not requirement) to engage in method development, unknown metabolite identification, data interpretation, report writing, and organization of team research efforts, which will frequently include collaborators from U Penn, Rutgers, and other Princeton University labs.

Essential qualifications include:

  • Laboratory (or similar) work experience and skills; we are open to applicants with relevant skills from other disciplines
  • Bachelor’s or Master’s degree in related field
  • Desire and capacity to learn and master new tasks and techniques
  • Interest, skill, and care in hands on work
  • Communication and organizational skills
  • Ability to work effectively in a team, as well as independently
  • Reliability and attention to detail

Additional (not required) qualifications include:

  • General knowledge and/or practical skills in one or more basic chemistry disciplines (analytical, physical, organic, biological)
  • Ability to contribute to research projects and perform basic laboratory calculations
  • Relevant technical skills such as mass spectrometry, chromatography, metabolomics, NMR, biological research

*We are looking for a candidate who has related work experience, is a passionate learner, and has the commitment and persistence to take on new challenges. We are open to applicants with alternative educational backgrounds who demonstrate a strong record of work experience. We are willing to train the right candidate.*

Applications must include a cover letter, resume, and contact information for three references. This position is subject to the University's background check policy.

*Applications should be submitted online at Princeton University's Careers Site (Requisition Number: 2022-16013).* Applications must include a cover letter, resume, and contact information for three references.

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.