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Opportunity: Computational Scientist / Software Development Position in Regulatory Genomics @ Penn State University -- University Park, PA (US)
Submitted by Shaun Mahony; posted on Wednesday, January 16, 2019
BACKGROUND
The laboratory of Dr. Shaun Mahony in the Biochemistry and Molecular Biology Department at Penn State is seeking a Computational Scientist to develop machine learning applications in the area of regulatory genomics. The primary focus of the Computational Scientist position is to contribute to the ongoing development of a scalable genome segmentation method that can characterize regulatory states using large collections of regulatory genomic datasets generated across many cell types. Developing and applying the computational analysis platform will be carried out in close collaboration with the laboratories of Dr. Ross Hardison and Dr. Frank Pugh. Prior experience developing machine learning applications and/or regulatory genomics analysis methods is preferred, but not required. Strong programming experience in a common language (such as Java, Python, C/C++, Perl, or R) is required, as is prior software development experience. Experience with Linux and git is strongly preferred. This is a fixed-term appointment funded for one year from date of hire with possibility of reappointment across multiple years
RESPONSIBILITIES
The successful candidate will be responsible for designing, developing, and testing software that performs integrative analyses across large collections of regulatory genomics datasets (i.e. ChIP-seq, ATAC-seq, etc). Specifcally, the project aims to scale up a machine learning platform that consistently characterizes regulatory states across different cell types in order to enable efficient application to large numbers of cell types. This project will be executed in collaboration with other Mahony lab members, and will also involve maintaining active collaborations with wet-lab biologists. The Computational Scientist will also have the opportunity to co-author research reports for presentation or publication, and to participate in other professional development opportunities.
REQUIREMENTS
Strong programming experience in a common language (such as Java, Python, C/C++, Perl, or R) is required. Prior software development experience is also required. Experience with Linux and git is strongly preferred. Prior experience developing machine learning applications and/or regulatory genomics analysis methods is preferred, but not required.
LOCALE
University Park, Pennsylvania, USA
TERMS
This position will be filled as a level 2 or 3, depending upon the successful candidate's competencies, education, and experience. A level 2 appointment typically requires a Bachelor's degree or higher in a field of study with focus on computational research methods plus two or more years of related experience, or an equivalent combination of education and experience. A level 3 appointment typically requires a Master's degree or higher in a field of study with focus on computational research methods plus four or more years of related experience, or an equivalent combination of education and experience.
DEADLINE
Review of applications will begin immediately and continue until the position is filled.
POLICY
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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