Duties & Responsibilities:
The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances. For more information, visit: http://wyss.harvard.edu/.
Reporting to the Lead Senior Staff Engineer in the Anticipatory Medical and Cellular Devices Platform, the Biostatistician supports the data analysis efforts within the platform.
Responsible for analyzing data produced during the investigation of devices, therapeutic modalities, diagnostic approaches, as well as the evaluation of physiological systems. These data include, but are not limited to image, video, kinematics (displacements, velocities, accelerations), kinetics (force, moments), pressure, temperature, etc. Participates in the design of research experiments and clinical studies, including statistical power analysis and experimental approach so that appropriate measurements are collected. Provides statistical analysis and assists with interpretation for research study designs. Investigates the use of novel algorithms, data trending, data modeling, statistical, and predictive techniques to anticipate and mathematically describe changes in physiological state. Conducts independent work to further knowledge of new and emerging data analysis techniques and their application to medical devices and Wyss Institute initiatives.
Participates in writing research proposals, reports, presentations, and publications. Supports staff, faculty, and collaborators to generate critical data, figures, or summary information. Interacts regularly with affiliated institute faculty and staff.
Basic Qualifications
M.S. in statistics, engineering, biology, behavioral sciences, physiology, or related discipline required. Two or more years of relevant post degree experience.
Additional Qualifications
Ph.D. preferred. Experience with statistical analysis and estimating power for clinical studies. Experience with data modeling and algorithm development. Experience working with kinematic and/or kinetic data sets. Experience in longitudinal study analysis. Proven track record of scientific contributions as evidenced by authorship on papers, posters, and conference presentations. Excellent organizational skills, creativity, and communication ability. Experience with office productivity software (MS Word, Excel, PowerPoint, etc.). Willingness to tackle multiple projects simultaneously. Willingness to work at all levels to accomplish team goals. Experience with human performance lab measurement methods, techniques, and equipment. Experience selecting algorithm designs for real-time sensor control, signal processing, data exploitation, and/or data analysis. Experience in nonlinear dynamics and statistical physics.
The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances. For more information, visit: http://wyss.harvard.edu/.
Reporting to the Lead Senior Staff Engineer in the Anticipatory Medical and Cellular Devices Platform, the Biostatistician supports the data analysis efforts within the platform.
Responsible for analyzing data produced during the investigation of devices, therapeutic modalities, diagnostic approaches, as well as the evaluation of physiological systems. These data include, but are not limited to image, video, kinematics (displacements, velocities, accelerations), kinetics (force, moments), pressure, temperature, etc. Participates in the design of research experiments and clinical studies, including statistical power analysis and experimental approach so that appropriate measurements are collected. Provides statistical analysis and assists with interpretation for research study designs. Investigates the use of novel algorithms, data trending, data modeling, statistical, and predictive techniques to anticipate and mathematically describe changes in physiological state. Conducts independent work to further knowledge of new and emerging data analysis techniques and their application to medical devices and Wyss Institute initiatives.
Participates in writing research proposals, reports, presentations, and publications. Supports staff, faculty, and collaborators to generate critical data, figures, or summary information. Interacts regularly with affiliated institute faculty and staff.
Basic Qualifications
M.S. in statistics, engineering, biology, behavioral sciences, physiology, or related discipline required. Two or more years of relevant post degree experience.
Additional Qualifications
Ph.D. preferred. Experience with statistical analysis and estimating power for clinical studies. Experience with data modeling and algorithm development. Experience working with kinematic and/or kinetic data sets. Experience in longitudinal study analysis. Proven track record of scientific contributions as evidenced by authorship on papers, posters, and conference presentations. Excellent organizational skills, creativity, and communication ability. Experience with office productivity software (MS Word, Excel, PowerPoint, etc.). Willingness to tackle multiple projects simultaneously. Willingness to work at all levels to accomplish team goals. Experience with human performance lab measurement methods, techniques, and equipment. Experience selecting algorithm designs for real-time sensor control, signal processing, data exploitation, and/or data analysis. Experience in nonlinear dynamics and statistical physics.