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The Shorenstein Center seeks a full-time Research Associate to support the Independent Media + Audience Project, which focuses on social media audiences, journalism, and content creators. The Research Associate will write regular reports about the project's analysis of YouTube and podcast platforms; will assist in building and maintaining structured research datasets; and contribute to analysis of platform ecosystems.

The role supports a multidisciplinary research team in developing and refining quantitative research questions. The position requires strong communication skills to translate complex research findings into clear, engaging, and accessible language for non-specialist audiences.

This role bridges the gap between academic research and public understanding, ensuring that key insights are communicated accurately and effectively to a broader audience.

It includes participation in regular research meetings, engagement with academic and civil society partners, and contribution to joint publications.

Job-Specific Responsibilities:

• Review and analyze academic research papers, reports, and datasets across media studies.
• Translate technical findings into concise, plain-language summaries for general audiences.
• Collaborate with researchers, faculty, and stakeholders to ensure accuracy and clarity of content.
• Conduct interviews with interviews with independent media creators, journalists, technologists, and social scientists
• Develop a variety of materials including lay summaries, briefs, blog posts, and public-facing reports.
• Collaborate on data visualization of technical findings
• Ensure all communications maintain the integrity of the original research
• Support dissemination efforts through digital platforms, presentations, and outreach initiatives.

Basic Qualifications:

Bachelor's degree and at least three years of experience in research roles.  Relevant internships will count toward experience. Demonstrated ability to interpret and summarize complex academic material.

Additional Qualifications and Skills:

• Master's degree in computer science, data science, information science, or a related field.
• Proficiency in Python and R.
• Experience with social media analysis and basic database management.
• Familiarity with academic publishing and research methodologies.
• Familiarity with using LLMs in research settings.
• Excellent written and verbal communication skills, with a strong emphasis on plain-language writing.
• Experience in science communication, knowledge translation, or public engagement is highly desirable.
• Strong attention to detail and ability to maintain accuracy while simplifying content.
• Ability to work independently and collaboratively across disciplinary boundaries
• Familiarity with YouTube, podcast platforms, or digital media ecosystems.
• Interest in data visualization.
• Ability to write social media posts conveying research findings.

• Appointment End Date: This is a fully benefits-eligible one year term appointment, with the possibility of renewal.
• 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, Education
• Other Information: Remote work flexibility may be considered.

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 056. 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. 

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.