The School of Healthcare Business and Technology at MCPHS is seeking a Director for Data Science and Analytics to lead a new initiative and shape the future of data science at the university, guiding faculty strategies, program development, and collaboration across the university.
Requirements
- 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, particularly in the healthcare and biopharma industries.
- Demonstrated ability to collaborate with academic and industry partners and manage teams.
- Experience in computational biology, computational chemistry, or data architecture focusing on life sciences or a related field.
- Familiarity with emerging trends in data science education and the healthcare industry.
Responsibilities
- Develop a strategy for prioritizing the assessment of health sciences and health professions curricula across the University.
- Collaborate with academic leadership 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, ensuring it meets the evolving needs of the healthcare, life sciences, and biopharma industries.
- 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, as well as assessment processes for data science course components.
- Guide curriculum development that bolsters the application of AI and data science techniques to life sciences, particularly computational biology, chemistry, and data architecture.
- Ensure alignment of academic programs with current industry trends and the needs of future employers.
Other
- Excellent leadership, communication, and strategic thinking skills.
- A Ph.D. or equivalent experience in a related field.
- Minimum of 5 years of relevant experience in academia, life sciences, biopharma, or a related industry setting.
- Ability to participate in face-to-face classes, as well as meetings within the university and the surrounding community;
- Must be able to utilize technology in teaching and delivering classroom—based education, including recording lectures, posting videos, and using the university LMS and tools provided for grading and student feedback.
