A computational post-doctoral fellow position is available to join the Insco Laboratory (https://inscolab.dana-farber.org/) in the Department of Medical Oncology at Dana-Farber Cancer Institute (DFCI). This opportunity will be for enthusiastic fellow to join our team and have an speciall opportunity to work in a newly renovated laboratory studying novel RNA biology with co-mentorship from a rising-star computational biologist.
Novel RNA Biology is being discovered at rapid pace and these discoveries are being rapidly translated into therapies for patients. Given the importance of RNA, RNA quality control is key. Aberrant RNAs require identification and destruction to avoid being translated into abnormal proteins that can contribute to cancer. The team found that nuclear RNA surveillance is tumor suppressive in melanoma, the most lethal type of skin cancer. Our lab utilizes functional in vivo zebrafish genetics paired with novel molecular techniques to study nuclear RNA surveillance in both zebrafish and human cultured cells. The team seeks to further the mechanistic understanding of RNA surveillance in cancer and to provide novel therapeutic approaches for melanoma patients.
This position will be co-mentored by Dr. David Liu at DFCI. Dr. Liu is a melanoma medical oncologist and a computational biologist with a background in software engineering at Amazon. Dr. Liu???s lab develops biologically informed predictive models using statistical and machine learning approaches.??In addition, this position offers the unique ability to receive mentorship from our collaborator who leads the field in computational methods for measuring aberrant RNA species.
DFCI brings together world-renowned clinicians, innovative researchers, and dedicated professionals to work collaboratively towards conquering cancer. We aim to recruit talented individuals who enjoy working industriously in a positive team environment. We provide compassionate care to patients of all ages, conduct research to advance treatment of cancer patients, and we educate tomorrow???s leaders in all fields of biomedicine. We work collaboratively to create a diverse and fun work environment along with the other Harvard Medical School-affiliated hospitals.
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.
Use existing computational tools to analyze complex data sets, including next generation sequencing data sets, and/or fluently and effectively collaborate with computational biologists to accomplish this.
Build new computational tools to study RNA surveillance in cancer
Design, conduct, and troubleshoot experiments involving molecular biology and cell culture
Think independently and creatively while working collaboratively on our team
Mentor research technicians as well as??bench science postdoctoral fellows in computational biology methods
Maintain detailed and understandable lab notebooks
Interpret and discuss research findings informally and in lab meetings
Develop figures to depict research findings, write research and review papers, and present at scientific meetings.
Write grants and learn to manage projects
Accomplished and motivated candidates who have attained a PhD, MD or doctoral equivalent in the biomedical sciences or computational sciences are encouraged to apply. Candidates with experience generating and analyzing complex datasets (e.g. from RNAseq, ChIPseq, single cell analyses, or CRISPR Cas9 forward genetic screens) are encouraged to apply. Cloud computational skills are a plus. Experience in RNA biology, transcriptional biology and/or cancer biology is desirable. Clear thinking, writing, and communication skills are highly valued. A record of scientific accomplishment as shown by a peer-reviewed original research paper(s) is encouraged. For candidates with the right background and proof of excellence, we can provide computational training.
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 groups as protected by law.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to under-served members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.