美國丹娜-法伯癌癥研究所2025年博士后招聘
Postdoctoral Research Fellow - Cancelas Lab
Employer
Dana-Farber Cancer Institute (DFCI)
Location
Boston, Massachusetts
Salary
Commensurate with Experience
Closing date
3 May 2025
Job Details
Postdoctoral Research Fellow - Cancelas Lab
Dana-Farber Cancer Institute
Boston, MA
Full Time
Overview
The Cancelas Lab seeks a Postdoctoral Scientist to study leukemogenesis and targeting in leukemia. The applicant should have a doctoral degree in Biology, Molecular Biology, Genetics, Immunology, or related field, and a strong interest in blood/cancer research. The applicant should also have a strong background in computer science and bioinformatics analysis of large datasets.
The applicant should be highly self-motivated and have a track record of publications (first-authored publications in respected journals). Applicants with experience in hematology, immunology, mouse genetics, flow cytometry and/or bioinformatics analyses are a plus.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
Responsibilities
The candidate will assume an operational leadership role in a multi-disciplinary research team comprising laboratory technicians within the Cancelas laboratory and across DFCI and partner institutions at Harvard Medical School and its affiliated hospitals. The candidate will, under the mentorship of Dr. Cancelas, design experiments to define biological mechanisms of normal hematopoietic and leukemic cells and apply computational biology models to address specific questions in orthogonal multiomics approaches to analyses of signaling pathways in disease and therapy.
Qualifications
MD, MD/PhD, or Ph.D. in molecular cell biology, human genetics, systems biology, or related fields.
Experience with some – but not necessarily all – of the following techniques: PCR, molecular cloning, viral transduction, gene editing, immunoblotting, cell culture, colony-formation assays, ex vivo and in vivo modeling of cancer, immunohistochemistry, flow cytometry, fluorescence-activated cell sorting, and next-generation sequencing library preparation.
Bioinformatics and computer science expertise is a must.
Excellent oral and written communication skills and the ability to perform both self-directed and guided research are prioritized.
Outstanding personal initiative and the ability to work effectively with a multi-disciplinary team that spans multiple institutions are essential.
The ability to meet deadlines and multitask efficiently is critical.
Strong data management skills.
Ability to maintain clear records and organized data that are conducive to bioinformatic analyses is essential.
Prior experience handling mice is essential.
To apply, please visit: https://careers.dana-farber.org/cancelas-lab_research-fellow
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
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