Data Science Leader for Clinical Research Projects

1 week ago

Somerville, Massachusetts, United States Mass General Brigham (Enterprise Services) Full time

About Mass General Brigham (Enterprise Services)

We are a not-for-profit organization committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. As a national leader in biomedical research, we provide our employees with more ways to achieve their potential. Our focus is on a people-first culture for our patients and professional family.

We use our Mass General Brigham values to govern decisions, actions, and behaviors: 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.

The Opportunity

Our Hospital Integrated Research Organization (HIRO) group at Mass General Brigham is seeking a 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, skilled analysts and engineers, and 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.

Key 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.

Estimated Salary: $150,000 - $180,000 per year, depending on qualifications and experience. We offer a competitive salary and benefits package to attract and retain top talent.

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