Research Fellow-Uppaluri Lab
Overview
The Uppaluri lab in the Department of Medical Oncology is seeking an intelligent, creative and collegial post-doctoral research fellow to join our group. We perform pre-clinical mouse modeling and human translational work towards identifying and targeting genomic and immunologic dependencies to improve head and neck cancer patient outcomes. Our group has expertise in carcinogen induced oral cancer models and in performing first in class immune and small molecule therapeutic clinical trials.
The main focus of this NIH funded postdoc position is to define mechanisms of resistance to immunotherapy (antiPD1) and targeted therapy in head and neck cancers using basic and translational approaches. Research areas in our lab include cancer genome discovery, CRISPR screening, investigation of tumor microenvironment and T cell biology using high-dimensional methodologies (scRNAseq, mass cytometry, etc.), development and study of novel oncogene-inducible and carcinogen-based oral cancer models and analysis of patient samples from ongoing clinical trials to define molecular correlates of response, improved therapeutic targeting strategies and new biological insights. We are a highly collaborative group and interact closely with cancer biologists, clinicians, and computational biologists to comprehensively understand head and neck cancer related biology. 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.
Specific responsibilities include
Designing and executing in vitro and in vivo experiments
Processing and analysis of patient-derived tissues
Conducting data analysis and interpreting results
Maintaining accurate records, writing reports, and preparing and giving presentations
Contributing to the overall laboratory safety, organization and productivity
Writing and submitting impactful primary research articles for peer review
Writing applications for funding opportunities
Required Qualifications
Ph.D in molecular biology, immunology or equivalent. An immunology background is highly desired, not required. Bioinformatics experience is desired but not required
Enthusiastic, team player and self-motivated individual
Experience with both cell culture and mouse disease modeling. Hands-on experience in immunologic assays including flow cytometry and molecular biology techniques including CRISPR based approaches
Excellent English written and oral communication
Peer-reviewed publication track record
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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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.
.Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
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