The University of Massachusetts Lowell Department of Biological Sciences invites applications to fill a full-time tenure-track faculty position, rank negotiable, to start September 2016.
We seek an individual experienced in bioinformatics and quantitative biology, who would apply computational, mathematical and other quantitative tools to analyze complex, high-throughput data. Examples would include the development of new computational tools to analyze whole genomes or transcriptomes, model intra- and extracellular signaling networks, and to model systems-level processes within populations and ecosystems. This area would leverage our campus strengths in computer science to develop and apply new tools to understanding living processes. In addition to the broad range of research interests within the Biological Sciences Department, UMass Lowell has a diverse group of science and engineering faculty who use multiple model systems to evaluate new technologies (e.g. nanomedicine, biomaterials, robotics and tissue engineering), therefore candidates interested in establishing collaborations with faculty in these fields are strongly encouraged to apply.
The successful candidate will be expected to establish a vigorous, externally funded research program, and contribute to the department’s teaching mission. Teaching responsibilities may include the development of an undergraduate Bioinformatics course, in addition to upper-level courses in areas of interest to the candidate.
The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, while promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and to identify your strengths in this area.
To be considered for this position, please submit all required application materials to the UMass Lowell Human Resources website: https://jobs.uml.edu/applicants/jsp/...=1456428954304
Review of applications will begin immediately and continue until the position is filled. However, the position may close once an adequate number of qualified applications are received.
We seek an individual experienced in bioinformatics and quantitative biology, who would apply computational, mathematical and other quantitative tools to analyze complex, high-throughput data. Examples would include the development of new computational tools to analyze whole genomes or transcriptomes, model intra- and extracellular signaling networks, and to model systems-level processes within populations and ecosystems. This area would leverage our campus strengths in computer science to develop and apply new tools to understanding living processes. In addition to the broad range of research interests within the Biological Sciences Department, UMass Lowell has a diverse group of science and engineering faculty who use multiple model systems to evaluate new technologies (e.g. nanomedicine, biomaterials, robotics and tissue engineering), therefore candidates interested in establishing collaborations with faculty in these fields are strongly encouraged to apply.
The successful candidate will be expected to establish a vigorous, externally funded research program, and contribute to the department’s teaching mission. Teaching responsibilities may include the development of an undergraduate Bioinformatics course, in addition to upper-level courses in areas of interest to the candidate.
The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, while promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and to identify your strengths in this area.
To be considered for this position, please submit all required application materials to the UMass Lowell Human Resources website: https://jobs.uml.edu/applicants/jsp/...=1456428954304
Review of applications will begin immediately and continue until the position is filled. However, the position may close once an adequate number of qualified applications are received.