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).

Research Specialist I/II - Genomics Core Facility - Requisition# 2023-16876
Posted on: Apr 17, 2023

Research Specialist I/II - Req: ID 2023-16876

Position Summary: 

The Lewis-Sigler Institute for Integrative Genomics seeks applicants for a full-time research technician (Research Specialist I or II) to provide technical support to the Genomics Core Facility by preparing samples and running the high-throughput sequencers.

In addition, the Research Technician will serve as back up to our Loading Dock Attendant when the Attendant is out of the office and provide assistance as needed in the preparation of a variety of microbiological media required for research.

The rank and salary will be commensurate with experience. This will be a one-year term position, with the possibility of renewal contingent upon continued funding availability and satisfactory job performance. This full-time position offers a competitive salary plus a comprehensive suite of benefits including health, retirement, and life insurance.

Review of applications will begin immediately. The position will start as soon as possible.

Specific duties include:

  • Operation of Next-Generation sequencers and other instruments for genomic research
  • Quality control of DNA and RNA samples
  • Sample receiving, tracking, and management
  • Preparation of sequencing libraries using molecular biology techniques
  • Performing tests on new methods and protocols under the supervisor’s guidance
  • Other lab tasks as assigned
  • Serve as back up for Loading Dock Attendant as needed:
    • Perform light delivery duty; organize and distribute incoming packages to laboratories as needed.
    • Maintain inventory of consumable materials (compressed gas, liquid nitrogen, dry ice), place orders with suppliers, and deliver materials to labs as requested.
    • We currently anticipate that the Research Technician will serve as backup to the Loading Dock Attendant between 20-25 days of the year.
  • Assist with lab media preparation as needed:
    • Prepare sterilized solid and liquid media and solutions as well as growth media for microbes, cells, and organisms and related supplied as needed by the research labs.

Essential qualifications:

  • Experience in molecular biology
  • Strong attention to detail
  • Ability to maintain a meticulous laboratory notebook
  • Ability to work well with others
  • Excellent customer service skills

Required education:

  • Bachelor’s degree or Master’s degree or equivalent in biological sciences or related field.

Preferred qualifications:

  • Experience with Illumina NovaSeq and/or MiSeq Sequencers
  • Experience with teaching or training others in a laboratory setting
  • Experience with lab / loading dock operations and logistics
  • Familiarity with media preparation

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

*Applications should be submitted online at Princeton University's Careers Site (Requisition Number: 2023-16876).*

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.

Research Specialist II - Pritykin Lab - Requisition# 2022-16150
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.

Data Scientist Position - Requisition# D-23-LSI-00005
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.