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 underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
The Carter lab is seeking a talented and highly motivated post-doctoral fellow in computational biology to work on projects related to understanding mechanisms of cancer initiation, progression, and metastasis. The fellow will be expected to lead the data analysis component of Carter lab projects, which will often require the development and implementation of novel statistical or machine learning algorithms. The successful candidate will have a unique opportunity to work with a diverse team of computational biologists, clinical oncologists, technologists, experimental scientists, and software engineers.
· Oversee the data processing and analysis of Carter lab projects in partnership with its affiliated investigators.
· Work closely with Carter lab collaborators to develop and apply algorithms for multi-omic data analysis (e.g. DNA sequencing and single-cell RNA sequencing).
· Present findings to internal and external multidisciplinary audiences in a clear and cohesive manner.
· A PhD in computer science, applied math, physics, or other quantitative field is required.
· Experience in cancer biology, genetics, or genomics is helpful, but not required provided the applicant has a strong desire to immerse themselves in these fields.
· Strong programming skills and experience in statistical algorithm development / machine learning / deep learning.
· Experience with Unix and large-scale computing.
· Expertise with python, pymc3, and keras is highly desirable.
· Demonstrated ability to understand and communicate analytical approaches clearly and effectively to biologists and clinical investigators.
· Desire to work in a fast-paced dynamic environment. Excellent organizational and record keeping skills. Careful attention to detail. Excellent verbal and written communication skills. Excellent teamwork, communication and presentation skills.
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.