Position Description

The Center for Computational Molecular Biology (CCMB) and the Department of Computer Science at Brown University invite applications for a tenure-track faculty member who develops and applies computational approaches to important biological questions. We seek an innovative and accomplished scientist whose research program is motivated by understanding biological systems (including, but not limited to: multi-omics and gene regulatory networks; RNA structure, any aspect of post-transcriptional gene expression (RNA splicing, export, stability, protein expression etc) , and post-transcriptional modifications;  the study of sequence variation such as clinical, statistical or population genetics; bioinformatics; and computational neuroscience). Applications proposing research on some aspect of RNA biology will be prioritized given Brown’s recent large-scale investments in the Guiliani RNA Center. 

The successful candidate will be a core faculty member of CCMB, which is part of the larger Brown Data Science Institute, with a tenure home in the Department of Computer Science and strong connections to our Division of Biology and Medicine, and will have opportunities to conduct undergraduate and graduate teaching in the Computational Biology degree programs and Department of Computer Science. The prime intellectual mission of CCMB is to promote the development, implementation, and application of quantitative methods to foundational questions in the biological and medical sciences. The research programs of the core faculty in CCMB lie fundamentally at the intersection of computer science, evolutionary biology, mathematics, statistics, and molecular and cellular biology. 

The research challenges at the heart of CCMB are a rich source of mathematical and computational problems motivated by the complex nature of genomes, disease processes, and evolutionary relationships. These challenges are both multi-scale (with units of interest ranging from molecules to communities of organisms) and large-scale (data-intensive, in part due to advances in sequencing technologies). 

Brown University is located in Providence, RI, close to Narragansett Bay, an hour from Boston and about three hours from New York City. Providence has been consistently rated as among the Northeast's most livable cities and is home to diverse intellectual, artistic, and business communities.

Qualifications

This is a tenure-track position at the Assistant Professor rank. Applications will only be considered at the Assistant Professor level. This search is conducted jointly with the Department of Computer Science (CS), where the successful candidate's tenure home will reside. Qualifications include a PhD degree in a related field (e.g., computational biology, computer science, mathematics, statistics, biochemistry, computational biochemistry) and strong research, mentoring, and teaching credentials. 

Application Instructions

Applicants should submit the following materials: cover letter; current curriculum vitae; the following  statements: 1) research statement; 2) teaching statement; and contact information for three references. Candidates should address in their materials (cover letter or statements) how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.

Applications will be considered until the position is filled, but we strongly encourage the candidates to submit complete applications (including reference letters) by October 15th for full consideration. 

Apply via: apply.interfolio.com/189906

Inquiries may be addressed to ruth_crane@brown.edu

Equal Employment Opportunity Statement

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

Required Documents

Cover Letter (1)

C.V. (1)

Teaching Statement (1)

Research Statement (1)

Contact Reference (3)