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Sobre este puesto de Post-Doctoral Research Fellow en Hebrew SeniorLife

Hebrew SeniorLife · Presencial · Roslindale, MA

Job Description:

Position Summary: 

 

The Aging Research for Cardiovascular Health Program at the Hebrew SeniorLife Marcus Institute for Aging Research offers a two-year postdoctoral fellowship opportunity.

 

Our mission is to advance the cardiovascular care of frail older adults through innovative research and multidisciplinary collaboration. We aim to deepen the understanding of unique challenges faced by frail older adults, developing evidence-based strategies to enhance treatment outcomes and preserve quality of life. Under the mentorship and supervision of Harvard Medical School faculty, the fellow will develop their career skills and expertise in conducting database research (e.g., analysis of existing cohort study or real-world datasets, such as administrative claims or electronic health records) on older adults with cardiovascular disease. 

 

The main research areas are as follows:

  • Cardiovascular epidemiology in older adults
  • Utilization of cardiovascular drugs and medical devices in older adults
  • Comparative effectiveness and safety of cardiovascular drugs and devices in older adults

 

An MD, PhD or equivalent degree in medicine, clinical disciplines, or public health is required. Prior experience in Medicare data, large EHR data, or cardiovascular research is strongly desired.

 Core Competencies:

 

A successful candidate is expected to have several of the following competencies:

 

  • Knowledge and skills: Fundamental knowledge in common cardiovascular diseases (e.g., atrial fibrillation, heart failure, myocardial infarction, stroke) and in the use of Medicare data are expected.

  • Creativity: Be inquisitive and open-minded to new ideas and trends in other related fields in order to develop novel ideas and hypotheses that can be tested in the aging research in cardiology.

  • Critical and analytic thinking: Has abilities to critically appraise literature and interpret research data, with attention to the details.

  • Responsibility: Has ownership and responsibilities of the ongoing projects as PI or co-investigator.

  • Leadership: Has abilities to identify and address areas of inefficiencies in the research process and train other team members (e.g., research assistants, research associates, data scientists, and researchers) to maximize the team performance and productivity.

  • Project management: Prioritize tasks to meet study deadlines.

  • Computer skills: Has fundamental knowledge and experience with a statistical software (Stata, R, or SAS).

  • Writing skills: Writes clearly for scientific papers or grant applications.

  • Communication: Has ability to speak and write in English to communicate research procedures and results.
  • Teamwork and collaboration: Works effectively within a team, group and across the organization and accomplishes tasks and desired results while behaving constructively as opposed to separately and competitively.

Position Responsibilities:

Under the mentorship and supervision of Dr. Ko and other Harvard Medical School faculty, the postdoctoral fellow will be involved in database research. Database research involves analysis of existing datasets from cohort studies and real-world databases, including administrative claims and electronic health records. This includes writing research protocols, conducting the analysis, interpreting the results, and preparing manuscripts within the major research areas outlined above.

 

Throughout the fellowship, the fellow will participate in career development activities, such as Advanced Aging Research Seminar Series offered by the Hebrew SeniorLife Marcus Institute.  It is expected that the fellow will seek independent funding opportunities, such as NIH career development awards or equivalent foundation award, during the two-year fellowship award period.

 

The above covers the most significant responsibilities of the position.  It does not, however, exclude other duties, which would be in conformity with the level of the position.  The candidate is expected to complete special projects as assigned.


Qualifications:
  • MD or PhD or equivalent in medicine, epidemiology, gerontology, and other related health sciences
  • Track record in database research or cardiovascular research, evidenced by minimum of 2 first-author peer-reviewed original publications
  • Minimum of 2 years of hands-on experience working with Medicare data
  • Fundamental knowledge in and minimum of 4 years of experience with a statistical software (Stata, R, or SAS)

 

 

V. Physical Requirements:

  • Requirements on file with Occupational Health

 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We strongly encourage both women and minorities to apply.

Remote Type:

Hybrid

Salary Range:

$62,800.00 - $94,200.00
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Cómo se compara este salario de Researcher

Este puesto paga $78,500/yr — en línea con el rango típico para los puestos de Researcher.

$58,026 la mediana de $107,250 $230,510

Rango típico $72,754–$169,121/yr, a partir de 1,300 ofertas comparables de Researcher en JobsRadar (salario anualizado en USD). Ver datos salariales de Researcher →

Sobre Hebrew SeniorLife

For All You Can Be At Hebrew SeniorLife, you’ll set the highest standard as part of our commitment to redefine the experience of aging. With compassion, resilience, and determination, you’ll make a difference in the lives of patients, residents, their families, and the broad senior care community every day. And they will make a difference in yours. These life-changing connections will give your work meaning and fuel your desire to be all that you can be. At Hebrew SeniorLife, that’s uniquely possible. Because here you’ll be supported to always keep growing. And as you do, so will our collective impact.

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