Post Doctoral Fellow
Mass General Physicians Organization(MGPO)

GENERAL SUMMARY/ OVERVIEW STATEMENT:

The Massachusetts General Hospital ICU Precision Medicine Lab as part of the MGH Clinical Data Animation Center and the National Patient-Centered CHoRUS for Equitable AI Collaboration is seeking a Postdoctoral Fellow to participate in ongoing research studies focused on using signal processing and machine learning and classification to develop methods for recognizing complex patient states in traumatic brain injury that have greater value for predicting treatment response and clinical outcomes compared to individual clinical parameters.

We are seeking a highly-motivated Postdoctoral fellow who will have the opportunity to work with multi-year wide and deep data sets containing waveform data (including ICP, EEG, ventilator, blood pressure and other time series data from clinical recordings), as well as discrete data (including electronic health record, medication administration, laboratory data, and clinical reports).

Primary responsibilities include signal processing and classification from clinical data as above. The incumbent should have a strong background in computer science, statistics, applied mathematics, or related fields with an outstanding track record. In addition, the applicant should have excellent programming skills in MATLAB, Python, and potentially have emerging experience with machine learning, neural networks, or deep learning frameworks. The postdoctoral fellow will work with the PI and other members of the laboratory as well as collaborators to ensure smooth and successful outcomes for this research.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

The incumbent in this position will be responsible for:

Artifact reduction techniques for waveform data including signals in multiple modalities including EEG, ventilator, and hemodynamic waveforms

Signal processing analysis of frequency and time domain information

Developing novel methodologies and applications to facilitate high-throughput phenotype extraction from physiologic and electronic health record data

Classification and prediction analyses of relationships between waveform data and time-varying covariates

Deep knowledge of neurophysiology and an ability to remain up-to-date in the scientific literature

Collaboration within a federally funded multi-center academic research network and within a federally funded commercial-academic partnership focused on big data informatics.

Writing research reports based upon data results and present data at conferences, scientific symposium and professional society meetings

Attending and presenting at appropriate collaborative meetings, lab meetings and departmental scientific meetings.

Developing and deploying tools that interact with clinical information systems and existing databases and software systems.

Providing support to colleagues in the lab to develop and implement data-analyses.

Contribute to manuscript preparation and project-team reports.

Mentor teammates with less engineering experience and share knowledge of computer science best practices with the team.

Qualifications
SKILLS/ABILITIES/COMPETENCIES REQUIRED:

• Proficiency with Python, MATLAB for signal processing and modeling.
• Biostatistical analysis skills including booststrapping, generating confidence intervals, and Bayesian statistics
• Demonstrated ability in using software applications that either manage or analyze time series data and/or data from electronic health record
• Experience with keeping a lab notebook in addition to code journaling and annotation.
• Proven ability to meet deadlines and work cooperatively in a small collaborative team.
• Demonstrated capability as highly organized, a creative problem-solver.
• Detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams.
• Ability to adapt to rapidly changing and high-demand environments.
• Experience with the Spark big data stack (Hadoop, Spark, etc.) a plus.
• Comfort with probability, linear algebra, and data analysis, and experience processing or analyzing biological data.
• Excellent written and oral communication skills.

LICENSES, CERTIFICATIONS, and/or REGISTRATIONS (if applicable):

Certification in Python preferred.

EDUCATION:

PhD in an engineering, physiology, neuroscience, data science or related field.

EXPERIENCE:

Experience with healthcare data preferred.

SUPERVISORY RESPONSIBILITY (if applicable):

N/A

FISCAL RESPONSIBILITY (if applicable):

N/A

WORKING CONDITIONS:

The research coordinator will work within a team of physicians, clinical research coordinators, and physician-scientist neurologists. Work will be performed in the Center for NeuroTechnology and Neurorecovery Laboratory space, in collaboration and with other academic hospitals on the Massachusetts General Hospital main campus.

EEO Statement
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.

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