BACKGROUND:
OHSU is ranked as one of the nation's top biomedical institutions in patient care, research, and education, with an annual operating budget of over $2.3 billion, over $340 million in annual grant funding, over 4,000 students and trainees, and nearly 1 million patient visits per year. Multiple departments rank among the top 5 in annual grant funding, including neuroscience, microbiology, ophthalmology, otolaryngology, and emergency medicine. OHSU is one of the nation's fastest growing biomedical institutions, bolstered by long-term resource commitments, such as the $1 billion Phil and Penny Knight "challenge" to support research in OHSU's Knight Cancer Institute, led by Dr. Brian Druker, who pioneered the concept of gene targeted therapy by demonstrating the efficacy of the revolutionary cancer drug Gleevec in chronic myelogenous leukemia.

OHSU provides substantial resources to enable data intensive science, including a world-class exascale supercomputing cluster, close interactions and resource commitments by leading technology companies such as Intel, tight integration with clinical and basic research programs across campus, graduate training programs in quantitative biosciences, biostatistics, biomedical informatics, bioinformatics and computational biology, and substantial long-term resource commitments, including the $1 billion Phil and Penny Knight "challenge" to support cancer research, with a significant focus on computation.

The Computational Biology Program at Oregon Health and Science University (OHSU), Portland, OR is committed to leading the development of next-generation patient care through discoveries made by big data analytics, enabled by open collaboration, highly integrated team science, and professional bioinformatics services for our researchers.

As a critical aspect of achieving our mission, we are seeking a bioinformatics leader to direct and help expand our OHSU bioinformatics core. The bioinformatics core is dedicated to providing outstanding professional services to our researchers in need of informatics solutions and consulting support for data management and analysis pipelines of commonly used omics and imaging data types. The bioinformatics core director is expected to lead a professional services team, following best practices for consulting that includes understanding and fitting solutions to needs, estimating efforts and skills, contributing high value to proposals and creating high quality deliverables for study project reports and publications. The bioinformatics core leader is expected to integrate team members and employ software engineering practices to develop strong standards for quality and reuse. Deliverables created in support of OHSU researchers should serve as standards for quality and innovation in broader communities building informatics tools for big data management, omics and imaging analyses, and clinical data integration. In particular, core output under the director should contribute to the design and development of international standardized APIs and data schemas as well as compatible implementations that function well in the emerging community ecosystem of bioinformatics software tools.

RESPONSIBILITIES:

• Work with research leaders and key stakeholders across campus to prioritize bioinformatics core services to best meet user needs.
• Develop funding model for expansion and sustainability of the core, including investments from organizational units across campus; charge-back models; and collaborative grant applications.
• Develop staffing plans and oversee recruitments as needed.
• Establish scientific collaborations with researchers across campus.
• Work closely with multiple stakeholders and collaborators across campus, including experimental and computational faculty and researchers, as well as systems administrators and other software development groups.
• Lead and collaborate on grant applications related to bioinformatics core projects.

Oversee the bioinformatics core team, which will:

• Develop custom analytics and data management applications to facilitate: large-scale omics data analysis; machine learning methods to infer genotype-to-phenotype predictive models; analysis of quantitative imaging data.
• Provide informatics services to investigators across campus, including pre-experiment consulting, application and training on the use of bioinformatics core software tools, and integration of user-generated and large-scale public data sets.
• Maintain well-curated, highly structured, transparent omics, imaging, or clinical data resources.
• Implement scalable cloud-enabled workflows to disseminate analytical advances to the research community.
• Establish and maintain standards for structured software & systems engineering, including requirements, design, code, test, quality, configuration & release management and project management.
• Assess, test, and implement best practices for omics and imaging data - analysis.
• Provide documentation and user support allowing computational researchers across campus to access and re-use analysis tools.
• Develop tools to integrate commonly used open source bioinformatics software applications.
• Participate in leading international efforts aimed at establishing best practices and standards for genomic, imaging, and clinical data representation and analysis.

REQUIREMENTS:

• Ph.D. in computational biology, computer science, or related technical disciplines, plus at least 4 years management experience related to software engineering or bioinformatics applications development. Candidates with master's or bachelor's degree and exceptional accomplishments in real-world work experience will also be considered. Academic appointments at the research assistant professor or research associate professor level may be available for qualified candidates.
• Knowledge of the software development lifecycle using agile software development or other development methodologies.
• Advanced skills in a high level programming language, preferably Python, R, or Java.
• Experience using structured engineering methods for specifying, designing, and implementing systems.
• Experience with architecture and tools for managing "omics" or imaging data.
• Ability to prioritize multiple tasks at one time.
• Excellent communication, analytical and organizational skills, both written and verbal.
• Ability to work independently and as part of a team while being collaborative in resolving problems.
• A desire to change the world and contribute to the elimination of human disease

Experience in at least one of the following:

• Analyzing next-generation DNA or RNA sequencing data.
• Advanced machine learning or statistical techniques, such as probabilistic graphical models, Bayesian inference, and optimization methods.
• Image processing algorithms and biomedical image analysis workflows.

PREFERENCES:

• High performance computing experience in a Unix/Linux environment.
• Management experience of an industrial software team developing enterprise-level solutions.
• Experience with distributed file systems, such as Lustre, and working with "big data".
• Expertise in research related to genomic analysis, machine learning, or image analysis.
• A passion for open-access innovation.

TERMS:
1.0 FTE

LOCALE:
Portland, OR - Oregon Health and Science University

COMPENSATION:
Salary commensurate with experience.

We offer highly competitive recruitment packages, comprehensive benefits, and a rewarding work and life environment. OHSU is located in Portland, Oregon – a city whose breathtaking scenery, exciting location, mild weather, and friendly people have all contributed to its appearance on numerous "Best Of" lists, including Online Insider's "Top 10 Least Expensive Cities", Money Magazine's "Top 10 Places to Vacation" and "Top 10 Best Places to Live", and American Style Magazine's "Top 25 Arts Destinations".

HOW TO APPLY:
Please visit http://www.ohsu.edu/xd/about/services/human-resources/

Reference # IRC46025

Review of applications will begin immediately, and will remain open until positions are filled. Applications should include a CV and cover letter. We encourage including the following in the cover letter:

Please indicate if you have seen any other job postings at OHSU that you would like to be considered for. It is not necessary to apply multiple times.

Provide links to open source code (e.g. through GitHub or other code repository) that you are most proud of and describe the relevance to advancing a research area.

Describe in 1 or more paragraphs how your personal philosophy or career goals relate to the values of team-oriented science, with examples of how you have embodied these values in your career.

DEADLINE:
When the position is filled

POLICY:
OHSU is an equal opportunity, affirmative action institution. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or protected veteran status. Applicants with disabilities can request reasonable accommodation by contacting the Affirmative Action and Equal Opportunity Department at 503-494-5148.