Tenure Track Assistant Professor in Computational Biology
- Employer
- Binghamton University
- Location
- New York, United States
- Salary
- Salary Not specified
- Date posted
- Dec 3, 2020
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Biology & Life Sciences, Mathematics, Statistics
- Employment Level
- Tenured/Tenured Track
- Employment Type
- Full Time
The Department of Biological Sciences at Binghamton University
(SUNY) invites applications
for a tenure-track Assistant Professor position in any area of
computational biology. The ideal
candidate will develop an original research program that addresses
fundamental questions
about complex biological systems using and/or developing
quantitative and computational tools
for the analysis of large datasets. We especially encourage
applicants who are working at the
level of genomes, transcriptomes, proteomes, metabolites, and/or
cell populations to investigate
genetic interactions, gene expression regulation, biological
networks, and/or their evolution.
Priority will be given to applicants whose research program
complements departmental
strengths in Genetic and Molecular Interactions, Global
Change Biology, and/or Infectious
Diseases.
The successful candidate must have a PhD in Biology or a related
field (e.g. Statistics, Math) and
will join a diverse biology department with over 30
tenured/tenure-track and teaching faculty
members. The university is committed to encouraging interactions
among data scientists on
campus through a newly developed Transdisciplinary Area of
Excellence in Data Science which
provides seed grants, hosts seminars and data salons, and assists
in developing educational
resources. Computational infrastructure on campus is available
through the Spiedie high
performance computing cluster (with increases in
capacity currently being implemented). The
successful candidate will contribute to the department’s teaching
mission through
undergraduate and graduate courses in their areas of expertise and
will mentor graduate and
undergraduate students.
The Department of Biological Sciences is committed to equity and
inclusion and is actively
working to increase diversity amongst its faculty. Members of
groups historically
underrepresented in computational biology and those from
non-traditional backgrounds are
strongly encouraged to apply. Additionally, evidence of a
commitment to advancing equity and
inclusion through research, teaching, and/or service will be
valued.
Review of applications will begin January 15, 2021 and continue
until the position is filled.
Applicants must have received a PhD (or equivalent) degree by the
anticipated start date (fall
2021). Applicants must submit a cover letter, CV, teaching
statement, research statement and
diversity statement, along with the names of three references
to
http://binghamton.interviewexchange.com.
About Binghamton University:
Binghamton University is a world-class institution that unites more
than 130 broadly
interdisciplinary educational programs with some of the most
vibrant research in the nation.
Our unique character-shaped by outstanding academics, facilities
and community life -
promotes extraordinary student success. Binghamton merges rigorous
academics, distinguished
faculty and state-of-the-art facilities to engage and challenge
its 17,000 students. The high-
achieving Binghamton student body also represents a great diversity
of life experiences, from
first-generation college students to international students. These
classmates share a desire to
shape the future through technology, insight, intellectual
exploration and community service.
Additional information:
Binghamton University is an Equal Opportunity / Affirmative Action
Employer. It is the policy
of Binghamton University to provide for and promote equal
opportunity employment,
compensation, and other terms and conditions of employment without
discrimination on the
basis of sex, age, race, color, religion, disability, national
origin, gender identity or expression,
sexual orientation, veteran or military service member status,
marital status, domestic violence
victim status, genetic predisposition or carrier status, or arrest
and/or criminal conviction
record unless based upon a bona fide occupational qualification or
other exception.
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