We are seeking intelligent, hard-working, and dynamic individuals to serve as a data scientist focusing on Natural Language Processing (NLP) within the AI Operations and Data Science Services group -- a group serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The group encompasses expertise in AI, data science, machine learning, NLP, computer vision, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. The group 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.Â
As we widen our support of several crucial centers and programs at DFCI, we seek an energetic and motivated NLP data scientist to help us improve our NLP products and create new NLP applications. The NLP Data Scientist will be responsible for leading the group’s Text AI functional area. This involves managing several NLP projects where you will be responsible for transforming natural language data into useful features using state-of-the-art NLP techniques to feed into different downstream algorithms to help improve patient care. The successful candidate will have proven experience in working on large complex projects, meeting deadlines, and will have excellent oral and written communication skills. 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. - Managing an internal research client that does a lot of natural language processing for cancer research
- Meeting and consulting scientists requiring NLP data science support and designing plans and solutions
- Delivery of results for projects on-time and on-budget
- Working as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs
- Evaluating and benchmarking new libraries; prototype and pipeline development
- 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
- Demonstrate excellent soft-skills, such as excellent oral and written communication skills
- Deep data science skills, at the interface between computer science and statistics
- MS in quantitative field such as data science, computer science, applied mathematics, or equivalent experience with evidence of impact in data science applied to real life problems (eg, some quant master courses AND experience in data science internship) in a research setting ideally within a clinical or research environment
- Knowledge of Python is required
- Preferred 1 to 5 years of experience post MS or PhD
- Natural language processing experience required, ideally within the context of Transformers
- Jupyter Lab, Google Cloud Platform experience required
- 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.
- Prior experience with clinical or fundamental/basic research preferred
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. |
