This position will remain open until a successful candidate has been identified.
Please note that a cover letter is required; applications will not be considered complete, unless a cover letter is included.
The UC San Diego School of Medicine comprises 19 departments providing undergraduate and graduate medical education as well as conducting extensive cutting-edge medical research. It has the ninth highest National Institutes of Health total funding out of 136 schools of medicine, according to NIH's Research Portfolio Online Reporting Tools in 2014. In 2013, UC San Diego School of Medicine faculty ranked third nationally in research funding per faculty member, according to the Association of American Medical Colleges. The Department of Medicine investigators represent a wide range of basic, preclinical, and human derived data biomedical research activity to develop new treatments for major diseases (e.g., cancer, cardiovascular disease, diabetes) as well as an understanding of the changes at the cellular and molecular level that lead to disease.
The Mesirov Lab: Research in the Mesirov lab focuses on applying machine learning and statistical methods to functional genomics data derived from cancer patients and models with the goal of better understanding the underlying biological mechanisms of disease, improving stratification of patients with respect to different treatment outcomes, and identifying novel drug targets. The lab is committed to the development of practical, accessible, open source software tools to bring these methods to the general biomedical research community. These tools support the research of hundreds of thousands of investigators worldwide. Thus, to achieve its goals, the lab includes both computational biologists and software engineers working together to further our understanding and treatment of disease.
Under the general direction of the Principal Investigator, and working closely with the lab's collaborators, the Senior Computational Biologist (SCB) will develop computational methodologies and analysis techniques relevant to cancer research. The Senior Computational Biologist will require the ability to apply high-level, scientific expertise and technical mastery of statistical and machine learning approaches to enable the analysis of wide range of genomic data. In addition, the SCB will aid in the mentoring and direction of junior members of the lab and collaborate with software engineers in the lab to ensure the efficacy and applicability of their work. The SCB will be expected to take primary responsibility for some projects and to publish in peer reviewed journals.
Master's or PhD level degree in Computational Biology, Biology, Bioinformatics, Computer Science, other relevant field or comparable combination of education and experience with considerable focus in computational science and software development. Evidence of published work.
Expertise in scientific programming in the life sciences in relevant scripting programming language, e.g., R, Python, etc.
Technical mastery of statistical, machine learning, and Bayesian network approaches.
Track record of productivity and delivering well-designed methods and software in an industrial or academic environment to produce scientific results.
In-depth knowledge and advanced ability to independently analyze needs and develop computational methods for complex scientific applications. Proven skill to plan and carry out projects to completion in a time sensitive environment.
Exceptional analytic, inductive and deductive reasoning skills. Proven technical leadership and team orientation.
Excellent interpersonal, written and oral presentation skills. Writing skills appropriate to the creation of clear and persuasive scientific proposals and manuscripts. Clear communications to colleagues across fields. Oral skills that lend themselves to clear and compelling presentations to scientific groups.
Practical experience with UNIX systems, SSH, and secure FTP, with a willingness and ability to update and increase computer skills and knowledge as needed.
Knowledge of Cancer Biology and/or Cancer Genomics.
Embrace and practice UCSD's Principles of Community including the commitment to strive to maintain a climate of fairness, cooperation and professionalism.
Excellent skill and ability to conduct web/online resource and literature searches.
- Must be able to work outside normal hours to meet project deadlines. Must be willing to answer work related questions while not physically