What are the responsibilities and job description for the Research Data Scientist position at UCSF Health?
Job Description
Applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.
Responsibilities
DUTIES & ESSENTIAL JOB FUNCTIONS
Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
%
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
25 Yes Develop improved algorithms, with emphasis on using time-series or signal processing methods, for interpretation of continuous bedside monitoring data, i.e. arrhythmia detection . May work with domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant.
25 Yes Implement pipelines for quality control and processing of datasets and create summary statistics for report generation
15 Yes Identify datasets and cohorts relevant for algorithm development and evaluation and generate performance statistics
15 Yes Create presentations describing algorithms and findings for diverse audiences including clinicians, engineers, technicians, etc.
10 Yes Collaborate with CBR staff, clinicians, and hospital IT to facilitate clinical implementation of developed algorithms
5 Yes Contribute to user interface design for communicating algorithm results a nd databasing strategies for efficient storage of CBR data
5 Yes Stays current with literature involving analyses of continuous bedside monitoring data and signal processing techniques
0
0
0
0
0%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
Applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.
Responsibilities
DUTIES & ESSENTIAL JOB FUNCTIONS
Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
%
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
25 Yes Develop improved algorithms, with emphasis on using time-series or signal processing methods, for interpretation of continuous bedside monitoring data, i.e. arrhythmia detection . May work with domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant.
25 Yes Implement pipelines for quality control and processing of datasets and create summary statistics for report generation
15 Yes Identify datasets and cohorts relevant for algorithm development and evaluation and generate performance statistics
15 Yes Create presentations describing algorithms and findings for diverse audiences including clinicians, engineers, technicians, etc.
10 Yes Collaborate with CBR staff, clinicians, and hospital IT to facilitate clinical implementation of developed algorithms
5 Yes Contribute to user interface design for communicating algorithm results a nd databasing strategies for efficient storage of CBR data
5 Yes Stays current with literature involving analyses of continuous bedside monitoring data and signal processing techniques
0
0
0
0
0%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
- Bachelor Science in related field and 2 years of experience, or equivalent
- Thorough knowledge of at least one of Python, Java, C , or related
- 1 years of experience with time-series data analysis
- 1 years of experience with signal processing methods and/or biomedical/clinical informatics
- Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing
- Knowledge of HPC/cluster computing
- Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
- Advanced degree in related field 2 years of experience with data science, including statistical analysis, data transformations, and visualization
- Experience with software engineering best practices
- Experience with SQL and/or noSQL databases
- Experience with clinical data
- Advanced degree in related field 2 years of experience with data science, including statistical analysis, data transformations, and visualization
- Experience with software engineering best practices
- Experience with SQL and/or noSQL databases
- Experience with clinical data