Research Specialist l/II
Research Specialist l/II
Princeton University
Princeton, NJ
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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.
Responsibilities
Specific duties include:
Research Assistance In Computational Biology
Qualifications
Essential qualifications:
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. KNOW YOUR RIGHTS
Standard Weekly Hours
36.25
Eligible for Overtime
Yes
Benefits Eligible
Yes
Probationary Period
90 days
Essential Services Personnel (see Policy For Detail)
No
Comments Related to End Date
Renewable pending satisfactory job performance and continued funding.
Physical Capacity Exam Required
No
Valid Driver's License Required
No
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.
Responsibilities
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
Qualifications
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.
- Experience in computational biology, bioinformatics, biological or health data analysis.
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. KNOW YOUR RIGHTS
Standard Weekly Hours
36.25
Eligible for Overtime
Yes
Benefits Eligible
Yes
Probationary Period
90 days
Essential Services Personnel (see Policy For Detail)
No
Comments Related to End Date
Renewable pending satisfactory job performance and continued funding.
Physical Capacity Exam Required
No
Valid Driver's License Required
No
-
Seniority level
Entry level -
Employment type
Full-time -
Job function
Research, Analyst, and Information Technology -
Industries
Higher Education
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