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GENERAL SUMMARY / OVERVIEW
As Machine Learning (ML)/Artificial Intelligence (AI) progress in healthcare a new role for data scientist is evolving that not only includes participating in model development but playing a key role in transitioning the developing model into the clinical workflow (Inference). The role includes assisting with the dynamics of lab curated data as model inputs to adjust to the real-world scenarios that often include dirty model inputs, complex results management and integrations into various clinical systems.
Acting under the supervision of the Director of the EMI, the data scientist will work with affiliated labs on model curation (40%) and with clinical integration teams (60%). The ideal candidate will aggressively lead the translation process by advising and assisting the EMI Technical Project Mangers on issues related to the performance of the model as it is being deployed into clinical production. This also include participating and advising the labs producing the modes on unique clinical workflow issues and advising on model training adjustments to account for the real-time environment.
Additionally, this individual will participate in ideation of model concepts and participate in the generation of new models within affiliated MGB data science labs.
PRINCIPAL DUTIES AND RESPONSIBILITIES
Knowledge of radiology workflow required
Demonstrated experience in integrating AI/ML with clinical systems (EPIC integration a strong plus)
Develop, optimize and train machine learning models to improve patient care and provide efficiency gains in the clinical workflow.
Lead projects from ideation through clinical deployment
Publish interesting and novel results in both machine learning and clinical communities.
Develop tooling to facilitate model development in a healthcare setting.
Use the Partners HealthCare values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration
PhD in computer science or related discipline such as mathematics, engineering or physics
Capable to quickly learn new knowledge (new algorithms, architectures, models and optimizations etc)
Fluency in Python or another programming language (with a willingness to learn Python)
Experience in C# (Dot Net) a strong plus
Comfortable in Tensorflow, PyTorch, or Caffe2
Highly comfortable in the theory and practice of neural networks
Capable of debugging faulty network architectures & hyperparameter configurations
Highly comfortable with traditional machine learning algorithms (e.g., SVM, boosting, bagging, etc.)
Experience in working with images in radiology (DICOM)
Experience working with natural language processing (NLP)
Experience in using containerization software such as Docker
Comfortable working independently and defining measurable, achievable goals
SKILLS / COMPETENCIES
Strong sense of urgency and proactiveness
Ability to function effectively and independently in a fast-paced environment, organize and prioritize work independently, and meet tight deadlines
Self-motivated, with an entrepreneurial mindset and ability to learn quickly
Strong analytical, planning, organization and time management skills with a high attention to detail
Excellent interpersonal skills to effectively communicate with technical teams, cross-functional teams, and staff at all levels of the organization including both technical and non-technical personnel
Ability to relate to and gain insights from product end users
Excellent and succinct written and oral communication skills
Ability to effectively conduct meetings and lead and facilitate large working sessions with all levels of staff and across various stakeholder groups
Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds and levels within and external to the organization
Ability to empathize with the end user, understand and intuit customer needs
and gain insights from product end users
Strong decision-making skills, with the ability to negotiate/balance decisions and priorities across functions; comfort making hard decisions with incomplete data and in a timely manner
Demonstrates strong evidence of algorithmic and structured thinking, and intuition for logic, pattern matching, what-if analysis, problem decomposition. and synthesis
Demonstrates ability to organize and incorporate complex systems requirements into product features and prioritize features effectively
Mass General Brigham is an Equal Opportunity Employer & by embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law.
Posted about 6 hours ago
Posted about 6 hours ago
Saint Charles, Missouri
Posted about 3 hours ago