Nature of Work
Information Science Professionals utilize applied or computational mathematical analyses for a wide array of different applications and to solve complex problems. Experiments may include text interpretation, coding, ground theory methodology for the analysis of certain data, and quantum state analyses. Information Science Professionals may also perform duties in labs that use primarily electronic equipment.
This Information Science Professional will be operating as a Machine Learning (ML) Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Working under the Principal Investigator (PI), Dr. Bennett Chin. The ML Engineer will be assisting with the creation of machine learning models and retraining systems using radiology data. To do this job successfully, the candidate will need exceptional skills in mathematics and programming; knowledge of data science and experience with software engineering is desired. The ultimate goal of this position will be to shape and build efficient deep learning applications.
This is a part-time, 0.2 FTE, position with an option to work remotely.
Examples of Duties Performed
Intermediate Level:
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Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
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Perform scientifically rigorous data management and bioinformatic analyses.
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Run machine learning tests and experiments.
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Computer System software maintenance and security.
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Assist with selection of appropriate datasets and data representation methods.
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Perform evaluation and analysis of test results.
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Train and retrain systems when necessary.
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Develop and disseminate a variety of tools designed to access relevant clinical and sample data
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Develop machine learning applications according to requirements.
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Research and implement appropriate ML algorithms and tools.
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Develop and implement complex analyses pipelines, programming, and data visualization techniques
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Extend existing ML libraries and frameworks.
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Creatively and effectively integrate data from multiple sources to accelerate discoveries
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Study and transform data science prototypes.
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Assist with the design and development of major bioinformatics-related programming projects
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Write custom scripts to access databases and analyze data
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Keep abreast of developments in the field.
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Independently and creatively identify bioinformatic and data management solutions.
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Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and
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quality improvement initiatives.
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Assist and train junior team members.
Senior Level, all of the above and:
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Assist with developing or develop protocol-specific systems and documents including process flows, training manuals,
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and Standard Operating Procedures (SOPs). Maintains subject level documentation and prepares documents, equipment
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and/or supplies.
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Assist with identifying issues related to operational efficiency and shares results with leadership.
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Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management,
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data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research
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activities across a wide range of disciplines.
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Serve as a resource to PIs and other stakeholders.
Principal Level, all of the above and:
This description is a summary only and describes the general level of work being performed, it is not intended to be all inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority.
