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Posted: 24-Oct-23
Location: Providence, RI
Salary: Open
Internal Number: 111528
The Center for Computational Molecular Biology at Brown University (CCMB; www.ccmb.brown.edu) invites applications for a tenure-track Assistant Professor who develops and applies analytical and computational approaches to important biological questions. We seek an innovative and accomplished scientist whose research program is motivated by understanding biological systems (for example, but not limited to: multi-omics and gene regulatory networks, statistical and population genetics, biomedical imaging, precision medicine, bioinformatics, protein structure and dynamics, and computational neuroscience).
The successful candidate will be a core faculty member of CCMB, and will have opportunities to conduct undergraduate and graduate teaching in the Computational Biology degree programs. 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 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). CCMB is one of five intellectual units at Brown University that together round out the broader landscape of research in methodological development under Brown's Data Science Initiative (https://www.brown.edu/initiatives/data-science/).
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.
We will be focusing our search on candidates at the Assistant Professor level. Qualifications include a PhD degree in a related field (e.g., computational biology, computer science, mathematics, statistics) and strong research, mentoring, and teaching credentials. Potential home departments for applicants include: Computer Science; Biostatistics; Applied Mathematics; Ecology, Evolutionary and Organismal Biology; Molecular Biology, Cellular Biology, and Biochemistry.
Brown University welcomes applications from members of dual career families.
Applicants should submit the following materials via Interfolio by November 1st, 2022: Interfolio cover sheet that includes your legal name and preferred pronouns, abstract of research (250 words or fewer), links for up to three research papers/products you would like us to consider, up to three potential departmental affiliations for a tenure home; current curriculum vitae; the following three statements: 1) research statement; 2) teaching statement that may include relevant teaching experience and goals for teaching; 3) diversity, equity and inclusion statement that includes goals for inclusive research, teaching, and mentoring.
Applications will be considered until the position is filled but we strongly encourage the candidates to submit complete applications (including reference letters) by November 1st for full consideration.
Inquiries may be addressed to compbiosearch@brown.edu.
The Center for Molecular Computational Biology is composed of a diverse group of faculty who actively build and maintain a culture of inclusivity, collaborative research and teaching. We encourage applications from individuals who can contribute, through their research, teaching or service, to the excellence, diversity and inclusivity of our academic community. We also encourage the candidates to make use of both their teaching and diversity, equity and inclusion statements to describe their experience and plans in this area.
As an EEO/AA employer, 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, and caste, which is protected by our University policies.
