Dana-Farber Cancer Institute Data Scientist II in Boston, Massachusetts
We are seeking intelligent, hard-working, and dynamic individuals to serve as senior data scientist within the Dana-Farber Bioinformatics and Data Science group, a newly formed group serving some of the most prominent research and clinical programs at the Institute, from basic research to translational research, to clinical diagnostics and operations. The group encompasses expertise in data science, machine learning, bioinformatics and NLP, and seeks to develop a highly interdisciplinary environment supporting our research, clinical and operational staff advance the overall mission of DFCI which is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.
As we widen our support of several crucial centers and programs at DFCI we seek senior experts with the ability to lead projects independently and potentially in the future lead other people who can provide data science support for some of our key initiatives and centers in need of advanced analyses.
We seek an energetic and motivated senior data scientist for our expanding data science team. The successful candidate will have proven experience in leading and executing independent large complex projects, and some experience of supervision of junior staff.
PRIMARY DUTIES AND RESPONSIBILITIES:
Meet and consult with scientists requiring data science support and design plans and solutions
Delivery of results for projects
Work as part of the broader team to identify longer-term solutions that will improve quality,
speed and efficacy of our current projects and programs
Evaluate and benchmark new libraries; prototype and pipeline development.
Deep data science skills, at the interface between computer science and statistics
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
Excellent communication and effective problem-solving skills, track record in serving a variety of
Diverse customers and projects
Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities.
Natural language processing experience preferred
Shiny, Spyre, Flask, WebDev and prototyping experience preferred
JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred
Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering.
Significant scientific background with prior experience in clinical research
PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment
2 to 5 years of experience post PhD
Prior experience supervising at least 1 person preferred
Job ID: 2018-11482
External Company Name: Dana-Farber Cancer Institute
External Company URL: www.dana-farber.org