Computational Biologist

The Brenden-Colson Center for Pancreatic Care (BCCPC) seeks a computational biologist who will work in an interdisciplinary environment, leveraging their skills in bioinformatics, data analysis, and machine learning to understand the complexities of pancreatic cancer development, progression, and treatment response. They will develop, adapt and implement bioinformatics pipelines, analytical and theoretical methods, and collaborate with experimental biologists to analyze data relevant to pancreatic disease, especially advanced treatment and early detection of pancreatic cancer.

The BCCPC is comprised of a collaborative group of senior scientists in the OHSU School of Medicine. This position will work closely with BCCPC Program Leaders and staff on computational aspects of all pancreas research efforts within the Center. They will draw upon skills in algorithm deployment, modeling, and statistics to make inferences from complex datasets, and implement scalable high-performance workflows in pancreatic cancer research. They will provide assistance with software best practices and collaborate to build, publish, and reuse open source code. They will perform data analysis and interpretation, and provide documentation and user support for pancreas researchers and research publications. They will assist with mentorship of trainees and staff in this area of the science, maintain a strong understanding of current scientific literature, and communicate findings clearly to a variety of audiences.

The ability to meet deadlines, research goals, and milestones are essential. This position will be working on a variety of BCCPC pancreas research projects, including corporate partnerships and NIH-funded collaborative grants, through all phases from initiation to closing, collaborating with wet lab scientists, clinicians, computer scientists and software engineers. The work includes applied algorithmic work, data science & data visualization, statistical learning & classical ML, but also cloud computing & high-performance computing on computer clusters, all as related to pancreatic disease research. This person will be actively engaged and accountable for the development of technical deliverables.

We are looking for an enthusiastic individual who is willing to take initiative and implement systems to identify tasks and track progress. Experience with computational biology, signaling networks, and sequencing data and image analysis is desirable. An exceptional command of computational biology is required, and excellent verbal and written communication skills are essential. Salary will be commensurate with experience.

Work is generally 40 hours per week during normal working hours, however, some evening and weekend work may be necessary. May include occasional travel to scientific meetings for educational purposes and/or for data presentations. This position is eligible for hybrid/remote work only after an initial 4-month period. Details regarding schedule, required technology, environment and other OHSU conditions are to be detailed in the remote work documentation filled out by the employee and supervisor and approved by the supervisor.

Ability to use hands to work with a computer with long periods of sitting and/or standing. This function can be very repetitive. Ability to ride the aerial tram and walk long distances across campus.