Fellowship – US

About BIT BIT is a global research and innovation consultancy committed to creating positive social impact. We combine a deep understanding of human behavior with evidence-led problem-solving to design policies, programs, and services that improve people’s lives. We use evidence from behavioral science, the rigorous study of human behavior, to understand and address social challenges Grounded in this insight, we develop practical solutions and behavioral interventions for the real world We evaluate what does (and doesn’t) work, why and for whom – backing up findings with robust data BIT has about 200 staff based in 8 countries across Europe, the Americas and Asia Pacific, and has run more than 2000 projects to date, including over 1000 randomised controlled trials in over 100 countries. In addition to its own interventions, it openly shares expertise and helps others build capacity and skills to apply behavioural science for social good. BIT US is a team of 15, based in Brooklyn, working across health, community safety, government innovation, economic mobility, and more. Our values — impact, humility, curiosity, collaboration, and partnership — shape how we work. We take our methods seriously and ourselves less so. About the Fellowship We’re launching a new Fellowship Program in our US office for experienced researchers, data scientists, and designers who want to apply their methods expertise to real-world social challenges. This is an entry point into applied behavioral science and consulting for people with strong methods training who haven’t yet worked in these fields. You’ll work on live client projects alongside our advisors, with time and support for training and feedback. You’ll be paired with a line manager and technical mentor, join our team meetings, and have access to our learning and development platform, internal training, and talks from visiting researchers and practitioners. Where a Fellow performs strongly, and a business case exists, the Fellowship can lead to a permanent offer as an Associate Advisor or Advisor. What you’ll do Fellows will contribute to a mix of work depending on their track and the projects available: Intervention development: Applying behavioral science to communications, processes, programs, and policies Research and evaluation: Supporting mixed-methods research; designing and running RCTs and other evaluations; conducting statistical and qualitative analysis; synthesizing findings Capacity building: Developing training materials and tools that help clients apply behavioral science in their own work Client-facing communication: Drafting notes, slides, memos, and reports; contributing to client meetings and workshops Project coordination: Tracking tasks and timelines, contributing to work plans, responding to shifting project needs You’ll start with close supervision and take on more responsibility as you grow into the role. Who we’re looking for We’re recruiting candidates with methods expertise in one of three areas: Research and evaluation methods : mixed-methods research, causal inference, survey design, qualitative research, program evaluation Data science : applied statistics, experimental analysis, data engineering, or machine learning applied to social questions Design : service design, user experience design, product design, behavioral design, etc. We’re open to design disciplines as long as you’re excited to apply your design expertise to behavioral challenges. You’re likely to be: A professional with 2–5 years of experience in a relevant field (research, consulting, data, design, or policy) looking to move into applied behavioral science or research and innovation consulting A recent Master’s or Doctoral graduate with strong methods training, coming from academia or an adjacent field Someone whose path doesn’t fit either description neatly but who brings equivalent expertise You don’t need every skill below as we expect to invest in your development. But these are the qualities we’ll look for: Deep expertise in your methods area. You can work independently on technical tasks in your discipline and explain your choices to non-specialist audiences. Whichever track you come from, you have at least two years of practical experience applying your methods outside of coursework. Interest in behavioral science. You understand core concepts (defaults, loss aversion, social norms, friction) or are keen to learn. You don’t need an academic background in the field. A solid grasp of causality. You can explain the difference between correlation and causation, and you understand why rigorous evaluation matters for knowing whether interventions actually work. Clear, adaptive communication. You can explain technical concepts in plain language and adjust your style for different audiences — internal teammates, senior client stakeholders, members of the public. Comfort with ambiguity and a small-team environment. BIT US is 14 people. Work flexes across projects and priorities, and roles expand with the organization. Our team members have varied backgrounds; you can work on multidisciplinary teams with a range of expertise and perspectives. You’re willing to take on varied tasks and navigate change. Self-awareness and ownership. You reflect on your work, take responsibility for outcomes, and are resilient when decisions don’t land where you hoped. Commitment to public and social impact. You want your work to improve outcomes for people at scale, and you’re interested in the public and nonprofit sectors where much of our work happens. We’d also be glad to see: Research: Quantitative data analysis: proficiency in data cleaning, performing descriptive and causal analyses in Stata, R, and/or Python; experience in impact evaluation methods, such as randomized controlled trials, quasi-experimental design, theory-based evaluation. Qualitative data analysis: experience supporting and/or leading interview or focus group facilitation, taking notes, conducting thematic or framework analyses. Data collection: supporting coding of survey instruments, monitoring data collection in the field, updating dashboards. Desk research: reviewing the evidence base to identify relevant findings, evaluating the strength and quality of evidence, and preparing summary notes or formal literature reviews. Data science: Programming: Proficiency in at least one of R and Python for working with data. Data analysis: Experience in preparing, using, and analyzing data sets, including: data wrangling, exploratory data analysis, data visualization; awareness of data engineering methods such as scalable data collection (e.g., APIs, web-scraping) or database management systems (SQL or NoSQL); Advanced analytical skills. Strong foundation in statistical methods like experimental design, explanatory modeling, or causal inference. Machine learning: Ideally, you will have some proficiency with supervised and/or unsupervised machine learning methods, but other experience is also valued. Predictive methodologies: A clear understanding of the strengths and weaknesses of different predictive methodologies (e.g., gradient boosting or neural networks or generalized linear models), including those that you are not an expert in. Designers: Applied behavioral science: Experience applying behavioral science principles to design effective interventions. Prototyping: Ability to move from low-fidelity sketches to functional prototypes. User research: Experience developing and testing potential solutions directly with end users. Evidence and context-based design: Skilled at turning complex, conflicting data into simple, evidence-based designs and recommendations. Design tools: Expert in Adobe Creative Cloud (e.g., InDesign) and Google Workspace for creating high-quality visual assets. Experience with the public or nonprofit sectors Professional fluency in French, Spanish, or Portuguese (we deliver capacity building to cities across the Americas, and it’s a real plus to be able to work with city staff in their native language) Experience managing projects or coordinating teams Commitment and schedule Duration: 12–16 weeks initially, with the possibility of extension Schedule: Full-time (40 hours/week) or part-time (minimum 2–3 days/week, less than this makes it hard to integrate meaningfully into project work) Core hours: We expect fellows to be online and available for meetings and collaboration between 10am–4pm ET. Outside those hours, you’re free to structure your time however works best for you. Start date: Fall 2026. Exact start date is flexible, though it will need to fall on the 1st or 16th of the month. Compensation Pay Range: $33.00 – $37.00 per hour Structure: Pay structure (hourly vs. salary) and final rate will be determined based on the fellow’s specific situation and qualifications. Location This is a remote role. We have an office in New York City, but relocation is optional and unsupported. We can hire fellows based in the following states: Connecticut, Illinois, Maine, New York, Oklahoma, Pennsylvania. If you live outside these states, unfortunately, we cannot consider you for this role at this time. Benefits Mentorship: a dedicated line manager and technical mentor, with regular 1:1s throughout the Fellowship Learning and development: access to BIT’s global L&D platform, internal trainings, and talks from visiting researchers and practitioners Team integration: full participation in team meetings and internal events Equipment: provision of a work laptop and setup support to ensure you’re equipped from day one Career pathway: direct consideration for permanent Associate Advisor and Advisor roles where a business case exists Flexible scheduling: full-time or part-time options, with flexibility to work when it suits you outside of core collaboration hours Other requirements Legal authorization to work in the United States. We are unable to sponsor visas for this role, now or in the future. Ability to work from one of the states where BIT US operates (listed above) Willingness to travel on site to conduct research activities (e.g., focus groups, observations, stakeholder meetings, etc.) Application process If you’re interested in applying to BIT US, please use this link to submit your CV and cover letter, outlining your interests, experience, and why you’d like to work at BIT. If selected, you’ll start with a brief phone screening. Next, you’ll move to a structured interview with members of the team, which includes a practical task tailored to the role. The task will reflect the kind of work you’d do in the role and let you showcase your approach to applying behavioral insights in practice. Start your BIT journey here and apply now! Equal opportunity BIT is committed to providing equal employment opportunities. We welcome applicants from all backgrounds — our work is stronger when our team reflects the range of people it affects. Applicants who identify with groups traditionally underrepresented in behavioral science are strongly encouraged to apply. BIT does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, marital status, or any other characteristic protected by law.