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What are the key skills and qualifications needed to thrive as an adjunct professor of computer science, and why are they important?

To thrive as an Adjunct Professor of Computer Science, you need a strong academic background in computer science or a related field, often with an advanced degree (Master's or PhD) and teaching experience. Familiarity with learning management systems (LMS) like Canvas or Blackboard, coding environments, and relevant programming languages is typically required. Excellent communication, adaptability, and student engagement skills help foster effective learning and classroom dynamics. These competencies ensure high-quality instruction, student success, and alignment with institutional standards.

How do adjunct professors of computer science typically balance teaching responsibilities with other professional commitments?

Adjunct professors of computer science often manage their teaching alongside other roles, such as industry positions, consulting, or research. This balance can be challenging, especially during grading periods or when preparing new course materials. Most adjuncts teach part-time and have flexible schedules, but time management and clear communication with department staff are essential. Many institutions provide resources and support, such as teaching assistants or faculty development workshops, to help adjuncts succeed while maintaining their external commitments.

What is an adjunct professor of computer science?

An Adjunct Professor of Computer Science is a part-time faculty member who teaches computer science courses at a college or university. They are often professionals with industry experience or advanced academic qualifications, hired to teach specific classes on a contractual basis. Unlike full-time professors, adjuncts typically do not have research or administrative responsibilities and may not be involved in curriculum development. Their primary focus is on delivering lectures, grading assignments, and supporting students' learning in their field of expertise.
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Adjunct Professor Of Computer Science jobs near you
Infographic showing various Adjunct Professor Of Computer Science job openings in Connecticut as of August 2026, with employment types broken down into 2% Internship, 62% Full Time, 16% Part Time, and 20% Contract. Highlights an 98% In-person, and 2% Hybrid job distribution.

Postdoctoral Associate Position, Yale School of Public Health and Department of Biostatistics

Yale University

New Haven, CT • On-site

$49K - $66K/yr

Full-time

Re-posted yesterday

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 617 rated colleges and universities

Job description

Description
We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity (DSDE) research team in the School of Public Health with a primary home in the Department of Biostatistics.
The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on developing methods and tools for the analysis of electronic health records and real-world healthcare data. There will also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. The position is for one year and is renewable for a second year based on satisfactory performance and progress.
The postdoctoral associate will actively participate in methodological and collaborative research as well as support writing research grants. Professional development will be an integral part of the position. This role enables postdocs to gain expertise in analysis and inference within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various sources such as electronic health records, biobanks, registries, etc. The position will also provide a solid foundation to build a research career in academia, government, or industry.
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Work Modality: Flexible, hybrid working arrangements could be accommodated if needed
Expected Start Date: Flexible, as early as November 1, 2025
Additional information on the Yale School of Public Health, the Department of Biostatistics and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Qualifications
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment
• Strong oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting
• Proficiency with statistical computing (e.g., R, Python or C/C++)
• Demonstrated capacity to work both collaboratively and independently
• Strong strategic, analytical, and problem-solving skills
• Strong interpersonal and project management skills to facilitate timely and professional deliverables
• Experience with causal inference, machine learning, and artificial intelligence is desirable
• Experience with clinical, EHR, or biobank data analyses is desirable
Application Instructions
To apply:
Interested individuals should submit a (1) CV, (2) cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Please apply online.
Questions regarding this position should be directed to bhramar.mukherjee@yale.edu.

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