The Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University (MSU) invites applications for three open-rank tenure system faculty positions in computational biology beginning Fall 2025. All three positions will be appointed in CMSE, but joint appointments with other MSU departments are also possible based on the candidate’s research interests and teaching portfolio. Two of the three positions are supported by the MSU Global Impact Initiative, and one position is supported by the MSU College of Natural Sciences. Duties of these positions include research, teaching and service. The review of applications will start on January 5, 2025 and the search will continue until the three positions are filled. A background check is required for employment.
The CMSE Department, jointly administered by the College of Natural Science and the College of Engineering, is one of the newest units at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development and analysis; high performance computing; and applications to scientific and engineering modeling and data science. The CMSE department hosts leading faculty groups whose research spans a broad collection of foci, including Computational Biology and Bioinformatics, Machine Learning, Optimization, Scientific Computing, Statistical Data Analysis, and Topological Data Analysis. In conjunction with these research activities, the CMSE department boasts a strong PhD program and a vibrant postdoctoral program. The CMSE Department also offers BS and MS degrees in Data Science with minors in Data Science and CMSE, with many students continuing to advanced degrees.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate -Relevant fields of computational biology
Minimum Requirements
Competitive candidates will have a Ph.D. in relevant fields for the position and, preferably, a minimum of 2 years of postdoctoral experience. Applicants must also have a strong track record of conducting cutting edge research in computational biology, demonstrate their commitment to teaching and mentoring of students, and to building an equitable and diverse scholarly and instructional environment. While preference will be given to appointments at the assistant professor level, associate or full professor appointments may also be considered depending on the experience and merits of the candidate.
All areas of computational biology will be considered, including, but not limited to, multi-omics integration, gene function prediction, single-cell and spatial omics modeling, quantitative genetics of complex traits, functional genomics and epigenomics, drug discovery, systems biology, protein structures, or metabolomics. Applicants considered for this cluster-hire will preferably develop innovative and scalable computational models (e.g. machine learning, deep learning, optimization or statistics) or carry out integrative data-driven applications to solve significant biological questions. The competitive candidates will be expected to establish synergistic and inter-disciplinary collaborations with faculty across the MSU campus.
Required Application Materials
Applications will be considered complete if they include all of the following required components:
One-page cover letter that frames the application in the context of the ad of this cluster-hire and addresses the relation of the candidate’s research to the areas of interest.
A current CV with list of publications, funding history, contributed and invited talks, teaching and mentoring roles, contributions to the academic community, and service to the community.
A two-to-six–page research statement highlighting past research accomplishments and future plans that frame the applicant’s ability to conduct independent research. This statement should include experiences or plans to use research to advance diversity, equity, and inclusion within the computational biology research community.
A two-to-three-page teaching statement describing the applicant’s experience in instruction and research mentoring of graduate and undergraduate students, including experiences or plans to create an inclusive and equitable learning environment for students.
At least three letters of reference. These letters should address the applicant’s research ability, instructional experience and commitment, and/or service roles, if known.
Special Instructions
Questions may be directed to the chair of the search committee, Prof. Jianrong Wang (wangj164@msu.edu).
Applicants are encouraged to explore the MSU Department of CMSE website at https://cmse.msu.edu
Review of Applications Begins On
01/05/2025
Website
cmse.msu.edu
MSU Statement
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Spartans work every day to advance the common good in uncommon ways.Together, we tackle some of the world?s toughest problems to find solutions that make life better?from alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We collaborate and lead. We innovate, inspire, and empower. We achieve our potential and create circumstances that help our students and others achieve theirs.We're good at it, and we've been at it for more than 150 years.The nation?s pioneer land-grant university, MSU began as a bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is one of the top research universities in the world?on one of the biggest, greenest campuses in the nation. Home to nationally ranked and recognized academic, residential college, and service-learning programs, we?re a diverse community of dedicated students and scholars, athletes and artists, scientists and leaders.In ways both practical and profound, we work to create a stronger, more sustainable, and more hopeful future for all.