Mass General Brigham (Enterprise Services)
Senior Data Scientist
Mass General Brigham (Enterprise Services), Somerville, Massachusetts, us, 02145
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.
The Opportunity: 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.
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 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 Working Conditions
Hybrid Onsite Flexible working model required Requires onsite weekly working in office as planned for business needs Eastern business hours required Remote working days require stable, secure, quiet working area Mass General Brigham Incorporated 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. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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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 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 Working Conditions
Hybrid Onsite Flexible working model required Requires onsite weekly working in office as planned for business needs Eastern business hours required Remote working days require stable, secure, quiet working area Mass General Brigham Incorporated 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. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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