MCPHS University-posted 2 months ago
Full-time • Senior
Boston, MA
Educational Services

The School of Healthcare Business and Technology seeks an innovative and entrepreneurial Director for Data Science and Analytics to join our team and lead this new, high-impact initiative. This role will offer a unique opportunity to shape the future of data science at MCPHS, guiding faculty strategies, program development, and collaboration across the university. Reporting to the Dean of the School of Healthcare Business and Technology, the full-time faculty appointment includes teaching responsibilities in data science, AI, and data analytics, overseeing program growth, and building partnerships within the life sciences and biopharma sectors that drive real-world impact within the school and the University. This role works closely with the Dean and industry-focused colleagues to forge new relationships, expand student experiential learning opportunities, and ensure our programs remain aligned with the latest industry trends. In the additional role of Data Science Strategist for the University, the incumbent faculty member will report to the President and Vice President for Academic Affairs/Provost to help guide the University in establishing a vision and goals that advance the application of data science within health sciences and health professions education at MCPHS. This role is based on our Boston campus, offering opportunities for inter-campus collaboration and flexibility in scheduling.

  • Develop a strategy for prioritizing the assessment of health sciences and health professions curricula across the University.
  • Collaborate with academic leadership and faculty to assess existing curricula and offer guidance on integration of data science components.
  • Develop and articulate a forward-thinking vision for the future of data science education.
  • Identify academic opportunities that prepare the next generation of data scientists for roles in healthcare, life sciences, biopharma, and clinical sectors.
  • Mentor faculty colleagues in course design that identifies opportunities for integrating components of data science.
  • Collaborate with academic leaders to design, implement, and oversee new data science programs and courses.
  • Guide faculty with strategies for teaching data science that bring hands-on experience and real-world applications.
  • Lead curriculum development that bolsters the application of AI and data science techniques to life sciences.
  • Ensure alignment of academic programs with current industry trends and the needs of future employers.
  • Foster a culture of innovation and research related to data science.
  • Serve as a thought leader in data science, representing the School and the University.
  • Collaborate with the Center for Career Development to establish partnerships with key industry stakeholders.
  • Facilitate experiential learning opportunities such as internships, capstone projects, and industry collaborations.
  • Contribute and help grow current MCPHS initiatives that leverage the University's internal and external networks.
  • Build and lead a team of faculty and staff in the data science programs.
  • Collaborate with the Career Development Center to facilitate opportunities for data science experiences.
  • Establish department goals, policies, and procedures in alignment with the overall strategic plan.
  • Provide strategic direction for AI adoption, data set acquisition, analytic tool selection, and software.
  • Participate in service/volunteer activities and University and school committees as assigned.
  • Engage in scholarship resulting in conference presentations, publishable manuscripts, or other outcomes.
  • Mentor, advise, and assist students through office hours or scheduled appointments.
  • Attend and participate in University and School meetings, University ceremonies, and other significant events.
  • A Ph.D. or equivalent experience in data science, computational biology, computational chemistry, data architecture, data analytics, or a related field.
  • Minimum of 5 years of relevant experience in academia, life sciences, biopharma, or a related industry setting.
  • Proven experience building and leading data science programs, departments, or related research initiatives.
  • Strong understanding of data science and health analytics applications in life sciences.
  • Demonstrated ability to collaborate with academic and industry partners and manage teams.
  • Excellent leadership, communication, and strategic thinking skills.
  • Experience in computational biology, computational chemistry, or data architecture focusing on life sciences.
  • Proven track record of working on interdisciplinary projects that bridge data science and life sciences.
  • Experience developing and launching new initiatives, academic programs, or student/junior staff mentoring.
  • Familiarity with emerging trends in data science education and the healthcare industry.
  • Willingness to participate in international travel to support SHB travel seminars.
  • Competitive salaries and excellent benefits including a substantial contribution toward the cost of medical, vision, and dental insurance.
  • Generous time off.
  • Retirement and pension plans.
  • Flexible work arrangements to support work/life balance.
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