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What are faculty positions in computational biology?

Faculty positions in computational biology are academic roles at universities or research institutions that focus on teaching, research, and mentoring in the field of computational biology. These positions typically involve developing and applying computational models and data analysis methods to understand biological systems. Faculty members may teach courses, supervise graduate students, and secure research funding while contributing to scientific advancements in genomics, bioinformatics, systems biology, or related areas. The specific duties and expectations can vary by institution and rank, such as assistant, associate, or full professor.

What are the key skills and qualifications needed to thrive in faculty positions in computational biology?

To excel in Faculty Positions in Computational Biology, candidates typically need a strong background in computational methods, biological sciences, and a doctoral degree in a relevant field. Expertise with bioinformatics tools, programming languages (such as Python, R), and experience using high-performance computing or genomics databases are commonly required. Outstanding communication, mentorship abilities, and collaborative skills help faculty members lead research, secure funding, and effectively teach diverse student groups. These competencies ensure impactful research, high-quality teaching, and the advancement of interdisciplinary scientific innovation.

What are some common challenges faculty members face when establishing a research program in computational biology?

Faculty in computational biology often encounter challenges such as securing initial research funding, building an interdisciplinary team, and accessing adequate computational resources. Collaborating across departments—such as biology, statistics, and computer science—is essential but can be complex due to differing methodologies and priorities. Additionally, balancing teaching, mentoring, and research responsibilities requires effective time management, especially in the early stages of an academic career.
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Infographic showing various Faculty Positions In Computational Biology job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Tenure-track Faculty Member in Computational Biology

Brown University

Providence, RI • On-site

Full-time

Posted 29 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

169th of 627 rated colleges and universities

Job description

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 (for example, but not limited to: multi-omics and gene regulatory networks; RNA structure, expression, and post-transcriptional modifications; statistical and population genetics; bioinformatics; protein structure and dynamics; and computational neuroscience). An especial emphasis will be placed on candidates seeking to conduct research on RNA given Brown's recent large-scale investments in its new 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.
Inquiries may be addressed to ruth_crane@brown.edu

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