Chronic lymphocytic leukemia (CLL) remains the most common leukemia of adults and is incurable.??Several novel therapies have substantially altered the treatment landscape for CLL, and studying the mechanisms of their activity, toxicity and resistance is of great interest.?? Our lab focuses on CLL, somatic and germline genomics of CLL and the mechanisms of these targeted therapies in CLL.?? This position will focus on genomic analysis of both somatic resistance mutations and germline variants associated with CLL, from the standpoint of informatics.?? The successful candidate must be skilled in bioinformatics and coding, and will be expected to perform the primary analysis of the raw genomic data from these multiple studies.?? Validation of identified candidate genes at the bench is not expected of this candidate who will focus on the in silico analyses.??
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.
The successful candidate will be analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior of CLL, both retrospectively and prospectively.?? Much of this will focus on resistance mechanisms but we also have a significant interest in germline predisposition and analysis of that data will also be required.?? These projects can be collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions.?? The candidate will be doing the primary analysis of the data, requiring significant coding skills.
Previous experience in informatics is required, including a PhD, MD/PhD or equivalent doctoral degree in bioinformatics, mathematical, physical, or computer science, as well as comparable research experience, together with significant experience in computer programming and computational biological applications.?? A strong background in statistics and biology is desired, including experience managing and curating large datasets and programming experience including but not limited to: R, Python, etc.
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.