Senior Research Scientist Save

What You Will Do

• Support research design and execution

  • Execute and oversee the research components of data-driven Harmony Labs projects, from design through execution and delivery.
  • Contribute independent reasoning and execution to ensure successful and timely delivery of projects.
  • Collaborate with other research staff to contribute to and deliver on research plans that provide valid, reliable answers to complex questions about how media works and how Harmony Labs and its partners can use that knowledge to achieve their goals.
  • Implement methodologically sound research using a range of approaches (e.g., survey design and analysis, predictive modeling, community detection, natural language processing, neighborhood analysis, clustering, and network analysis) and research tools, including R, Python, and AI, aligned with Harmony Labs’ standards for rigor, innovation, and AI use in research.
  • Conceive, operationalize, and analyze surveys to better understand the values that audiences hold, how they react to media, or other purposes.
  • Identify ways to improve research methods, including data retrieval, modeling, archiving, and visualization practices.
  • Manage external analytic and research resources, including contractors, consultants, annotators, and vendors, ensuring their work meets Harmony Labs’ standards and integrates smoothly into project workflows.

• Translate findings into actionable insight

  • Synthesize research findings in ways that are actionable, understandable, and usable for both technical and non-technical audiences.
  • Produce clear, coherent written and verbal explanations of methods, findings, and implications for practice.
  • Tailor communication of methods, results, and implications to the needs of different audiences, connecting insights to decisions and next steps.
  • Communicate across teams about research progress, key insights, risks, and opportunities, and develop and share mitigation and change plans as needed.

• Drive innovation in research methods

  • Independently and in collaboration with other members of the research team, contribute to innovation and experimentation in research and data science methodologies, tools, and technologies to improve research outcomes and deliver actionable insights.
  • Stay abreast of and participates in relevant scholarly, industry, and practitioner communities to bring new ideas and best practices into Harmony Labs’ work.

• Undertake other duties and responsibilities as needed

Who You Are

• You are curious, independent, strategic, brave, and kind
• You thrive in a fast-paced, collaborative research environment with a high-volume workload often requiring short turnaround times.
• You are deeply collaborative. You bring your own expertise to team projects and create solutions that makes use of the expertise of others
• You are curious. You do research because you really want to know the answer, and you want to answer big questions about how media affect us and we affect media
• You have a strong intuition for what makes research good from sample specification to question design to survey daypart selection.
• You are flexible and you know how to keep your eye on the goal when plans don’t work or problems arise.
• You possess advanced statistical knowledge and the ability to select and implement appropriate methodologies to deliver analyses that support project outcomes.
• You are comfortable working as part of a fully remote team.
• You are able to manage your own time and work with teams across multiple time zones.

Desired Experience

• You have at least 3 years of professional experience designing and conducting quantitative and mixed-methods research in fields such as media studies, computational social science, communication, sociology, or related disciplines. -You have demonstrated ability to lead multidisciplinary research teams and manage complex, multi-stakeholder projects from conception through execution and delivery.
• You have advanced proficiency with research tools and programming languages such as R and Python, including experience applying machine learning, statistical modeling, natural language processing, or network analysis to cultural or media data.
• You have a proven ability to translate research findings into strategic insights and clearly communicate them to both technical and non-technical audiences.
• You have a strong background in research design, experimental methods, and validation techniques to ensure rigor and reproducibility.
• You have familiarity with emerging methods in AI-assisted research, data ethics, and responsible data use.

Details & Compensation

• This is a full-time, exempt position reporting to the Director of Research
• This is a Level 3 position with a salary up to $135K
• There is a generous benefits package, including:
  • Health, dental and vision insurance, employer paid across all categories, including for partners, children, and families
  • Unlimited paid time off, with minimum thresholds for use
  • 401(k) with 100% match of up to 6% of salary per pay period, with immediate vesting
  • Pre-tax spending plans for commute, parking, dependent care, healthcare
  • Professional development stipends, paid parental leave, sabbaticals
  • Harmony Labs is a 100% remote workplace, with home office set up and annual reimbursements, periodic in-person retreats, and access to conference space at WeWork
  • Harmony Labs provides a laptop

Broad perspectives and diverse experiences are key to serving society, and innovating in a way that responds to our complex, interdependent global context. While Harmony Labs employs only United States citizens and those non-U.S. citizens authorized to work in the United States, in compliance with national regulations, we strongly encourage people from backgrounds currently underrepresented in tech, research, media, and data science to apply. Harmony Labs is an equal opportunity employer. We value and welcome diversity in the workplace and strongly encourage all qualified persons to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.