GENERAL SUMMARY/ OVERVIEW STATEMENT:
The MGH Epilepsy Service and the Clinical Data Animation Center (CDAC) are leaders in developing and applying computational and engineering techniques in combination with clinical neurophysiology recordings, to improve the diagnosis, monitoring, and treatment of people with epilepsy, sleep disorders, and neurological critical care conditions. Major initiatives include efforts to develop computational algorithms that can monitor sleep and delirium and detect seizures.
We are seeking a highly motivated individual to work collaboratively with a team of clinicians, computational engineers, and research coordinators. The incumbent will apply principles of bioinformatics and data science to assist scientists to make progress on problems like the ones described above. The incumbent must possess a strong programming background, expertise in data wrangling (including pre-processing and cleaning big data sets), and be able to apply bioinformatics tools to visualize, analyze, manipulate or interpret bioinformatics data. The incumbent will also help build and maintain databases for processing biological information, including clinical data and biomedical signals including neurophysiologic data (e.g. scalp EEG EKG), and the drive and enthusiasm to learn about clinical neuroscience and patient-centered research.
An excellent description of the duties required is given on the “Foreign Labor Certification Data Center Online Wage Library”, under the heading “43-9111.01: Bioinformatics Technicians”, at this URL: flcdatacenter.com/OesQuickResults.aspx?code=43-9111&area=71654&year=18&source=1
PRINCIPAL DUTIES AND RESPONSIBILITIES:
This position involves a wide range of responsibilities, including:
- Management of a database of neurophysiology data and other biological information.
- Pre-processing of big data sets of neurophysiologic recordings. This includes:
o Ability to visually screen the data for artifact identification and data selection
o Data cleaning, transformation, feature extraction and feature selection
o Optimization of memory requirements, allocation, and efficient usage in implementation of the above tasks
- Visualize bioinformatics data
- Analyze bioinformatics data
- Interpret bioinformatics data
- Strong analytical skills and the ability to identify problems and perform independent problem-solving
- Desire, motivation and proven ability to work in multidisciplinary teams and within a fast-paced environment.
- Excellent written and oral communication skills, including the ability to communicate technical concepts to a non-technical audience
- Ability to provide appropriate training and instruction to junior lab staff for initial signal processing and machine learning projects.
- Ability to multi-task and work independently to solve problems
- Attention to details with strong ability to interact effectively with many different people throughout the institution including patients, doctors, nurses, grant administrators, and, most importantly, other members of the IT departments within Partners Healthcare.
Master’s degree in electrical engineering, computer science, biomedical engineering, or a related field, with expertise with signal processing and machine learning
- Computer science, electrical engineering, or biomedical engineering background with expertise in MATLAB, Python, C , Linux
- At least one year of hands-on practical experience in developing machine learning applications, particularly deep learning applications
- Expertise in signal processing, particularly for neurophysiologic signals (EEG, intracranial EEG)
- Practical experience with management of big data
- Experience with high-dimensional biomedical data and technology platforms
Work will be performed in the MGH Cortical Physiology Laboratory space on the MGH main campus.
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