Computational Analyst - The Cremins Lab - Bioengineering - Penn Engineering
University of Pennsylvania
Philadelphia, PA
ID: 7179093
Posted: September 14, 2023
Application Deadline: Open Until Filled
Job Description
University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America’s Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Computational Analyst - The Cremins Lab - Bioengineering - Penn Engineering
Job Profile Title
Research Specialist A
Job Description Summary
The Cremins lab in Bioengineering in Penn Engineering is currently seeking a Computational Analyst to join our mission of understanding how chromatin works through long-range physical folding mechanisms to encode neuronal specification and long-term synaptic plasticity in healthy and diseased neural circuits.
The Computational Analyst will manage and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data.
Job Description
The Computational Analyst in the Cremins Lab will manage and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data. Develop code to analyze big data. Work as part of a team to develop quantitative methods to study 3D genome folding data in the developing brain. Contribute to manuscript preparation, including making figures and writing methods and results.
Responsibilities:
Perform computational tasks under direction and supervision of lead analysts.
Write code and create algorithms, and analyze data created by the Cremins wet lab and many other collaborative labs.
Given concepts/ ideas, and/ or data from individual lab members, create algorithms to analyze data generated by their projects.
In collaboration with lab members, write methods sections and figures for research papers where the analysis is used in the manuscript.
Position is contingent upon continued funding.
Qualifications:
Bachelor's degree with a minimum of one year of related experience in research and clinical study methodologies or an equivalent combination of education and experience. Data analysis and Python coding experience required.
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America’s Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Computational Analyst - The Cremins Lab - Bioengineering - Penn Engineering
Job Profile Title
Research Specialist A
Job Description Summary
The Cremins lab in Bioengineering in Penn Engineering is currently seeking a Computational Analyst to join our mission of understanding how chromatin works through long-range physical folding mechanisms to encode neuronal specification and long-term synaptic plasticity in healthy and diseased neural circuits.
The Computational Analyst will manage and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data.
Job Description
The Computational Analyst in the Cremins Lab will manage and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data. Develop code to analyze big data. Work as part of a team to develop quantitative methods to study 3D genome folding data in the developing brain. Contribute to manuscript preparation, including making figures and writing methods and results.
Responsibilities:
Perform computational tasks under direction and supervision of lead analysts.
Write code and create algorithms, and analyze data created by the Cremins wet lab and many other collaborative labs.
Given concepts/ ideas, and/ or data from individual lab members, create algorithms to analyze data generated by their projects.
In collaboration with lab members, write methods sections and figures for research papers where the analysis is used in the manuscript.
Position is contingent upon continued funding.
Qualifications:
Bachelor's degree with a minimum of one year of related experience in research and clinical study methodologies or an equivalent combination of education and experience. Data analysis and Python coding experience required.