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Payroll Title:

PROGR ANL 4

Department:

INSTITUTE OF GENOMIC MEDICINE

Hiring Salary Range

Commensurate with Experience

Worksite:

Campus

Appointment Type:

Career

Appointment Percent:

100%

Union:

Uncovered

Total Openings:

1

Work Schedule:

Days, 8 hrs/day, Mon-Fri

#70809 Data Scientist - Statistics and Machine Learning

Extended Deadline: Fri 8/1/2014

UCSD Layoff from Career Appointment or Special Selection: Apply by 5/5/2014 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible ACCES or Special Selection clients should contact their Vocational Rehabilitation Counselor for Special Selection.

The Center for Computational Biology & Bioinformatics (CCBB) is a newly established group dedicated to bioinformatics core support for the broader UCSD medical campus and affiliated institutions, training of scientists in data analysis, and the development of novel algorithms and database tools for large-scale bioinformatics datasets. A special focus will be on the analysis of next-gen sequencing data, especially in the context of personalized medicine research. The staff reporting to the Executive Director will be critical for establishing the technical foundation for computational analysis as well as the interpretation of the results downstream.

DESCRIPTION

This position will focus on the development and application of statistical methods for the integrated analysis of large-scale bioinformatics datasets at the Center for Bioinformatics Analysis at UCSD. The incumbent will perform exploratory data analysis of very large datasets from varying sources, draw inferences and insights to design or tune statistical models/learning algorithms for identifying genes predictive of phenotypes or clinical outcomes. This position is also responsible for evaluating fits, error metrics & model diagnostics to assess and improve model performance; curate large molecular datasets and staying in touch with best practices & techniques. This role will accomplish tasks through experience and with a wide array of machine learning algorithms and data mining methods (i.e. time series analysis, state-space models, adaptive filtering, mixed-effect models, hierarchical Bayes, Markov models, decision trees, boosting, random forests, support vector machines) and be responsible for interpretation and analysis in the simplest terms to a broad array of scientists.

QUALIFICATIONS

  • An advanced degree in a relevant technical field (i.e. Bioinformatics, Statistics, Electrical Engineering/Computer Science, Physics, Math, Finance)

  • Working knowledge and research experience with NGS data analysis.

  • Expertise in scientific programming in any OOP or scripting programming language. Track record of productivity and delivering well-designed and scientific software in an industrial or academic environment

  • Advanced demonstrated experience with statistical programming languages (i.e. R, SAS, Matlab). Application to data mining/machine learning algorithms.

  • In-depth knowledge in area of expertise with an understanding and advanced ability to independently analyze a needs requirement, develop, and implement systems for complex 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

  • Proven ability to think and work in an organized and effective manner in an environment that has rapidly shifting and often contradictory demands and priorities. Ability to lead in such an environment

  • Excellent interpersonal, written and oral presentation skills. Writing skills appropriate to the creation of clear and persuasive scientific proposals and clear communications to colleagues in computational science and allied fields, as well as to technical and clerical employees. Oral skills that lend themselves to clear and persuasive presentations to peer review groups and industry decision-makers in the scientific arena.

  • Advanced analytical skills in independent, inductive, and deductive reasoning. The ability to efficiently assess a broad spectrum of technical and resource requirements with the proven skill to identify, define, and delegate the efforts necessary to address those requirements in a high-performance computing setting.

PREFERRED

  • Demonstrated expertise with high performance computing and/or cloud computing


UC San Diego Health System is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.

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