Postdoctoral Fellow
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
How to Apply: Interested candidates should send their CV and cover letter to Zhi Yu at orYu Lab at MGH and the Broad Institute of MIT and Harvard is seeking a motivated and creative Postdoctoral Fellow to join our team ( lab focuses on developing and applying computational and statistical methods to multi-omics and other multi-modal data (including genomics transcriptomes proteomics medical imaging clinical data and lifestyle data) to examine the mechanisms and potential interventions for cardiovascular and other age-related diseases. We aim to develop personalized strategies for disease prevention and treatment.
Qualifications
How to Apply: Interested candidates should send their CV and cover letter to Zhi Yu at or
Research Areas & Responsibilities:The successful candidate will use their strong computational expertise to lead projects in one or more of our key research areas depending on interest and expertise:
- Clonal Hematopoiesis & Age-related Disease:We are passionate about understanding the biology of aging. This research area focuses on how age-related somatic mutations particularly clonal hematopoiesis (CH) contribute to disease. We believe understanding and intervening in these processes is one of the most important questions for our society.
- Machine Learning & Multi-modal Data:We are also working on leverage machine learning to extract information from imaging and clinical notes and further integrate with omics data to discover novel biological insights and perform risk prediction.
- Multi-omics Methods Development:While we apply multi-omics data to many questions we would love to tackle fundamental methodological challenges within the data itself (e.g. discordance between proteomics platforms). We are highly motivated to develop methods that make these measurements more robust harmonized and interpretable.
Qualifications:
- A Ph.D. (or expected Ph.D.) in a quantitative field such as Biostatistics Bioinformatics Computational Biology Electrical or Biomedical Engineering Genetic Epidemiology or related discipline.
- Strong computational and programming skills are essential (e.g. R or Python).
- Demonstrated experience in analyzing large-scale complex datasets.
- First-authored publication(s) demonstrating scientific rigor and creativity.
Please Note:A background in biology or prior experience with omics data is not a requirement. As the field evolves rapidly we welcome candidates with relevant but non-overlapping skill sets who are willing to adapt and learn so we can grow together.
Additional Job Details (if applicable)
What We Offer:
- A strong commitment to mentorship and career development. The group has a robust publication record and we are dedicated to helping you build yours. For postdocs aiming for academia we provide active support for grant applications (e.g. K99/R00) to ensure you are a strong candidate on the job market.
- Access to rich large-scale data in terms of both the number of cohorts and data types.
- Mentorship opportunities. You will have the chance to mentor a number of talented junior students (who are lovely to work with) helping you gain valuable mentoring experience while expanding your own publication record.
- A world-class research environment. Of course this is Boston : )
- A competitive salary compared to similar roles.
- We welcome you to chat with our current members to learn more about the group.
How to Apply:Interested candidates should send the following materials to Zhi ator
Remote Type
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EEO Statement:
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.
Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.
