Data Scientist - Pathology AI / COBA

We are seeking intelligent, hard-working, and dynamic individuals to serve as a data scientist focusing 50% on Pathology AI within the AI Operations and Data Science Services (AIOS) 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; and 50% on Clinical, Operational, and Business Analytics (COBA) needs, which is the DFCI enterprise business intelligence and analytics group. The AIOS 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.

As we widen our support of several crucial centers and programs at DFCI, we seek an energetic and motivated data scientist to help us improve our products and create new applications. The Data Scientist will be responsible for leading various projects independently across the areas of Pathology AI and COBA support. This involves managing several projects where you will be responsible for transforming raw data into useful features using state-of-the-art 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.

The key responsibilities will be:

• Working with the area leaders for Pathology AI and COBA advanced operational analytics in order to support their tasks in managing internal research clients and leading and executing projects end-to-end as required, as well as leading certain aspects of the Pathology AI and COBA areas (eg, Client management, certain technical projects, etc.)
• Meeting and consulting scientists and other stakeholders requiring 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
• Scope and delegate work to Associated Data Scientists and/or Data Science Interns and Trainees, as well as support them during their projects in order to deliver new and ambitious goals in the group
• Mentor and supervise junior personnel: Associate Data Scientists, Data Science Interns, Trainees
• Maintain a net-promoter score >= 8 across all current Clients, as assessed by end-of-year ratings
• Consistently track all activities in project management tools; work with Project Manager as required
• Demonstrate excellent communication skills, such as excellent oral, written, and presentation communication skills
• Contribute to scientific manuscripts and presentations as required
• Possibly, attract new research clients
• Actively contribute to the growth of the AI Operations and Data Science Services group, in terms of scope, access, responsibilities, and new projects that are trusted with the group
• Support the I&A Department and the Institute as a whole, should be the baseline mentality

The requirements are:

• 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
• Pathology AI experience required
• Experience building advanced analytics solutions for operational use cases required
• 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.