Transitional Data Scientist
Mass General Brigham(PHS)

Job Info

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About Us:

As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women's Hospital and Massachusetts General Hospital, Mass General Brigham supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.

We're focused on a people-first culture for our system's patients and our professional family. That's why we provide our employees with more ways to achieve their potential. Mass General Brigham is committed to aligning our employees' personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal development-and we recognize success at every step.

Our employees use the Mass General Brigham 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.

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

Qualifications
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

EEO Statement
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.

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