Course Director - HSE 101 Foundations of Programming for Data Scientists

The Geisel School of Medicine at Dartmouth is accepting applications for a Course Director for HSE 101 Foundations of Programming for Data Scientists. This course will provide students with a comprehensive introduction to computer programming, data manipulation, and computational problem solving in the Python programming language. Students will familiarize themselves with the Linux/UNIX operating system, the Bash command line, and Dartmouth's research computing resources during the first half of the term. Students can expect to be exposed to Bash scripting, Pandas Data Frames, scientific computing packages (NumPy, SciPy, Matplotlib), data visualization, and High-Performance Computing (HPC).

Course Dates: January 5, 2027 - March 16, 2027 (Winter Term 10 weeks + Finals week). In-person, synchronous: 1 unit - 2x90 minutes weekly with flipped classroom component.

Key Responsibilities:

1. Direct and oversee course content delivery; existing course materials are available and may be modified as appropriate.
2. Manage and support a cohort of approximately 20 students throughout the course.
3. Evaluate student performance.
4. Manage course teaching assistant(s).
5. Demonstrate professionalism and reliability by responding promptly to student, faculty, and staff emails; attending scheduled meetings; and adhering to all course-related due dates and institutional guidelines.
6. Provide timely, constructive, and suppotive feedbak on discussions to ensure students are receiving guidance on best scientific practices.
7. Monitor student participation and reach out proactively to support engagement and success.
8. Participate in course evaluations and continous improvement efforts.

Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their cover letter or teaching statement how their reserach, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all.

• Master's (with professional experience) or doctoral degree in computer science, data science, health informatics, bioinformatics, epidemiolgoy, or a related field.
• Experience teaching or mentoring others in computer programming or related field.
• Knowledge in some or any topics in computer programming, computer science, Python, BASH, high-performance computing, modelling techniques, data science.
• Experience teaching at the graduate level.
• Strong communication, time management, and student engagement skils.
• Commitment to equity-focused and inclusive teaching practices.
• Proficiency with learning management systems (e.g., Canvas) and online instructional tools.
• Experience working with diverse student populations.

Compensation: .20 FTE/year at an annualized lecturer-track salary, commensurate with experience.

Applicants should provide their CV, teaching statement, and three references and apply using the Interfolio link provided.