Assistant Director for Graduate Studies in Data Science

Company Description

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join the Harvard John A. Paulson School of Engineering and Applied Sciences?

At the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), we work within and beyond the disciplines of engineering and foundational science to address the most pressing issues of our time. Through teaching and collaborative research, SEAS discovers, designs, and creates novel technologies and approaches to societal challenges – in service to the world, the nation, and our community. We collaborate across academic areas at SEAS and the larger university, and with colleagues in academia, industry, government and public service organizations beyond Harvard. By joining SEAS, you will be part of an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu/.

Job Description

Job Summary:

The Assistant Director for Graduate Studies (AGDS) in Data Science is an exciting opportunity for applicants seeking the chance to support and advise master’s students pursuing a degree in Data Science, while also using their domain expertise to contribute to the academic efforts of the program faculty.

The position has several key responsibilities, including: advising students in the Data Science master’s program; playing an integral role in the master's program admission process; and working with faculty to regularly assess and update the master’s program curriculum. This position also includes a non-paid dependent lectureship, through which the ADGS contributes to teaching within the master’s program.

Job-Specific Responsibilities:

• Serve as the primary academic advisor for graduate students in the master’s degree program in Data Science. Advise students about courses and other related matters.
• Share responsibility for advising PhD students in the Data Science Secondary Field program about courses and other matters related to the secondary field.
• Teach or co- teach up to two graduate-level courses as assigned annually.
• Assist with curriculum and course development, including course planning and the implementation of new pedagogical methods.
• Work with the Data Science program faculty committee in the continuing assessment and improvement of the curriculum in order to stay abreast of the latest developments in computer science and engineering.
• Help students in the Data Science program find thesis advisors and provide oversight of second year master’s students as they complete their thesis research.
• Serve as an intellectual mentor and advisor to students in the development of their independent study projects and theses.
• Collaborate with the Director for Master’s Education to coordinate the reading of applications to the Data Science master’s program; serve as one of the readers during the first round of application review.
• Advise prospective students who express interest in applying to the Data Science master’s program.

Working Conditions:

The work is performed in an office environment.

Qualifications

Basic Qualifications:

Ph.D. in Computer Science, Statistics, Applied Mathematics or another field of science or engineering.

*Required application documents include a cover letter and CV/resume.

Additional Qualifications and Skills:

• Documented ability to mentor, advise and teach graduate students.
• Demonstrated excellence in data science, computational methods, statistical modeling or machine learning.
• Excellent verbal and written communication skills.
• Motivation to work with diverse stakeholders and build and maintain relationships.

Additional Information

• Standard Hours/Schedule: 35 hours per week
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
• Pre-Employment Screening: Identity and Education
• Other Information:
  Applicants must submit a cover letter and resume or CV to be considered for this position.

Work Format Details

This position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:

• Generous paid time off including parental leave
• Medical, dental, and vision health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and mental health resources
• Support for families and caregivers
• Professional development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.