Bioinformatics & Computational Biology Track

Masters  •  PhD


dna-strand-codeBioinformatics and Computational Biology deals with the analysis, handling, and comprehension of the large amounts of data produced by advanced techniques used in modern biological research (especially genomics, proteomics, and molecular and cellular biology).

The Division of Bioinformatics & Computational Biology within DMICE provides a unified academic home for an array of disparate educational programs, inter-linked activities and collaborative research efforts across OHSU and beyond. The interdisciplinary coursework draws on inter-institutional faculty expertise at Portland State University and OHSU, and is synergistic with work in the Department of Public Health & Preventive Medicine, the Knight Cancer Institute, the Oregon Clinical and Translational Research Institute (OCTRI) and the Kaiser Center for Health Research.

Our bioinformatics track offers a rigorous, interdisciplinary submersion in statistics, algorithms, research methods, biology, and computation, with special attention paid to the areas that these competencies overlap (i.e. computational biology). Students are thus given the knowledge and skills to become successful researchers and analysts within the field of bioinformatics.


Primary Faculty

Dr. Shannon McWeeney Functional Genomics, Statistical Genetics, Systems Biology
Dr. Eilis Boudreau Computational Neuroscience, Imaging
Dr. Aaron Cohen Text Mining, Information Retrieval, NLP
Dr. Judith Logan Databases
Dr. Kemal Sönmez Functional Genomics, Systems Biology




Bioinformatics has become increasingly algorithmic and quantitative, in particular in the area known as computational biology. The primary goal of Master’s program in bioinformatics is to provide students with a rigorous grounding in the tools needed to successfully address current problems in the field. Students are thus given the knowledge and skills to become successful researchers and analysts within the field of bioinformatics.


The masters program consists of the following core curriculum:

• Bioinformatics and computational biology
• Biomedical sciences
• Biostatistics
• Computer science
• Electives and graduation requirements

The Master of Science curriculum consists of 60 credits, divided between 48 credits of coursework and 12 credits of thesis work.



The mission of the Biomedical Informatics PhD program is to develop independent researchers, dedicated teachers and imaginative leaders in healthcare, academia, and industry. The development of leaders who can bring novel strategies and new ideas to the interdisciplinary domain of biomedical informatics is also a high priority objective.


The PhD program consists of the following core curriculum:

• Core Knowledge of Biomedical Informatics
• Doctoral Symposium
• Biostatistics
• Mentored Teaching
• Advance Research Methods
• Research/Dissertation
• Cognate Area of Study

A minimum of 135 credits are required for graduation. The table below details the distribution of credits. There will be a residency requirement of 12 - 15 credits for six consecutive terms in accordance with the by-laws of the School of Medicine Graduate Council.

Distribution of Credits
Demonstration of Biomedical Informatics Knowledge


Minimum 43 credits of subject courses required. Students with a background in certain areas (e.g., medicine or computer science) may substitute other courses but still must complete minimum 43 credits


Reading and Conference


10 credits minimum


Advanced Research Methods


12 credits minimum; coherent set of courses beyond research methods minimum of master’s program.


Cognate Area


12 credits minimum; cohesive set of courses to demonstrate depth in a cognate area in biomedical informatics.




3 credits minimum


Mentored Teaching Prep and Mentored Teaching


8 credits minimum (2 x 4 credits per sequence)


Research and Dissertation


48 credits


A humorous but important blog on the cultural challenges faced by collaborative scientists (such as those in... http://t.co/qR61AYzhs5

Congrats to OHSU Biomedical Informatics Faculty Joan Ash who is one of @thomsonreuters Highly Cited Researchers... http://t.co/IaGjXZ7pSQ

CI4CC Rapid Innovation Challenges & Initiative: ‘Mobile Technologies in Clinical... http://t.co/Ycl9L4yob9

Webinar 7/18 11:00 am ET "The MURDOCK Study Community Registry and Biorepository"... http://t.co/CJLkCjs3vz

Congrats to OHSU Biomedical Informatics Faculty Joanne Valerius who received the AHIMA Triumph Educator Award!... http://t.co/gRzXQO0FMu

New positions with the Mayo Clinic postdoctoral training grant in Cancer Genetics/Genomic Epidemiology http://t.co/QAiGcGptoV

CALL FOR PAPERS, POSTERS AND DEMONSTRATIONS: Workshop on Visual Analytics in Healthcare (In conjunction with AMIA... http://t.co/hazLWLBKTd

Webinar: Darrell Hurt, Ph.D., "The NIH 3D Print Exchange” on Wednesday, July 9 11:00 AM ET wiki page at... http://t.co/BzE3NXA8Co

Seminar: "Building tissues to understand how tissues build themselves" Zev Gartner, PhD Wednesday, July 16, 2014 4:00 p.m. Vollum M1441

The 25th International Conference on Genome Informatics (GIW / ISCB-Asia 2014) December 15-17, 2014, Tokyo, Japan... http://t.co/6DC3I58U52

Congrats to Dr. Gouaux on the 3-D model of NMDA receptor published in Nature!... http://t.co/YTKL3tX6cF

Postdoctoral Fellowship in Data Curation and Visualization at the UCLA Library and Medical Informatics Group.... http://t.co/Vs0MjB0QPn

The New England Journal of Medicine Review on Diagnostic Clinical Genome and Exome Sequencing... http://t.co/MGMRsoR6qH

First Call for Participation: Clinical TempEval 2015 Clinical TempEval brings the temporal information extraction... http://t.co/pC0jRSCALG

Congrats to NLM Fellow Patricia Yao who won the best Open Mic talk presentation today at the 2014 National... http://t.co/TEi3jDsbRl

JAX Genomic Medicine Grand Opening Scientific Symposium... http://t.co/x31oivtXB5

Seminar: 6/23 at 10am Vollum M1441 "The ICGC/TCGA DREAM Somatic Mutation Calling Challenge" Speakers: Paul... http://t.co/Mb2hWcORHo

Sneak peak trailer of the new Collaborative Life Sciences Building (a joint venture between PSU, OHSU, and Oregon... http://t.co/2pafOZjUx9

Today 6/5: “Expanding the Clinical Phenotype Space Using Model Systems Data” @OHSUBCB Faculty Melissa Haendel,... http://t.co/omHNDQHUOl

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