Research Fellow - Hidden Hearing Loss Research at Partner's Healthcare in Boston, Massachusetts

Job Description:

Site: Massachusetts Eye and Ear Infirmary


At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission-from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.


At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare - people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds - to apply.



Job Summary
A NIH-funded postdoctoral position is immediately available in Dr. Stéphane Maison's laboratory in the Department of Otolaryngology - Head & Neck Surgery at the Massachusetts Eye & Ear - Harvard Medical School. Our research interests focus on identifying biomarkers of a large range of etiologies and their associated disorders including difficulties hearing and communicating in noisy environments, reduced sound level tolerance and tinnitus using a test battery based on behavioral, electrophysiologic, and psychophysical measures. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant's experience. Interested applicants should email their CV, names of 3 references and cover letter to stephane_maison@meei.harvard.edu.
Highly motivated candidates who recently graduated with a PhD in biomedical engineering, computational biology, hearing science, neuroscience, or other related fields are welcome to apply. The applicant should have strong programming skills (e.g., Matlab, Python), independent and productive. Experience with human testing is preferred but not required.



Qualifications


Highly motivated candidates who recently graduated with a PhD in biomedical engineering, computational biology, hearing science, neuroscience, or other related fields are welcome to apply. The applicant should have strong programming skills (e.g., Matlab, Python), independent and productive. Experience with human testing is preferred but not required. The fellow will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School.



Additional Job Details (if applicable)


Additional Job Description



Remote Type


Hybrid



Work Location


243-245 Charles Street



Scheduled Weekly Hours


40



Employee Type


Regular



Work Shift


Day (United States of America)



EEO Statement:


Massachusetts Eye and Ear Infirmary is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.



Mass General Brigham Competency Framework


At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.