Sr. Data Scientist

Description

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 :

The Hospital Integrated Research Organization (HIRO) group at Mass General Brigham is looking for a talented and highly motivated Senior Data Scientist to join our expanding team supporting clinical research for multiple sponsored projects.

As a member of the team, you will work directly with the Director of Data Science and Analytics, our group of skilled analysts and engineers, and our clients to develop new insights from complex data sets for improvements in healthcare treatment options and other research questions.

The focus of the Senior Data Scientist will be to develop and refine algorithms to identify disease phenotypes that will be used for research, clinical applications, and beyond.

Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.

P rincipal Duties and Responsibilities

• Lead clinical research projects as determined by the research sponsor and the Director
• Plan, document, and implement systems that manage complex data flow and data update strategies
• Work collaboratively with the team to create and document policies regarding data usage, users, the Institutional Review Board (IRB), and the privacy committee
• Research and develop statistical learning models for data analysis
• Responsible for the development and implementation of NLP models, algorithm, and frameworks to support clinical research and sponsored projects
• Keep up-to-date with the latest technology trends
• Communicate results and ideas with co-investigators, team members, and collaborators
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design
• Work with sponsored and academic collaborators to understand needs and implement cutting-edge algorithms with machine learning
• Communicate progress status against project plans to the project manager and key stakeholders
• Other duties as assigned

Qualifications

• Master’s Degree in Computer Science, Statistics, Applied Math or related field; PhD Preferred
• 7+ years’ practical experience with ETL, data processing, database programming, and data analytics
• Experience working with healthcare and / or clinical data
• Extensive background in data mining and statistical analysis (e.g., SAS, SPSS, Stata, Python, R, or MATLAB)
• Able to understand various data structures and common methods in data transformation
• Able to develop new techniques
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java, Python and / or R
• Familiar with natural language processing (NLP)
• Familiar with traditional machine learning algorithms
• Proficient in SQL
• Comfortable working independently and defining measurable, achievable goals
3 days ago