• Design simulation environments and digital twins for enterprise workflows • Post-train LLM agents using RLHF, DPO, GRPO, PPO, and emerging methods • Build pipelines that convert human-labeled traces and verifiable signals into training data • Architect multi-turn, tool-using agents with closed learning loops • Design reward functions and verifiers that resist reward hacking and reflect real task outcomes • Set the technical bar across the team — architecture, code review, engineering standards • Mentor researchers and engineers; drive technical direction through influence • Translate research into production; contribute to publications

• Implement, experiment with, and refine deep learning models for protein-ligand co-folding and structure prediction • Design and execute systematic evaluation pipelines to measure model performance against state-of-the-art methods and internal benchmarks • Collaborate with senior scientists and engineers to integrate validated models into production-ready drug discovery workflows • Employ computational and data analysis techniques to generate insights from structural and sequence datasets • Present research progress through internal scientific talks, technical write-ups, and contributions to peer-reviewed publications • Work closely with multidisciplinary teams to prototype and scale impactful solutions

• Partner closely with a national intermediary to design and operationalize evaluation and learning frameworks aligned with their place-based partners’ strategy, capacity, and context. • Lead the identification of metrics, data points, data sources, and data collection processes that balance rigor with feasibility. • Develop evaluation work plans, including timelines and sequencing for data collection, data entry, analysis, reporting, and learning cycles. • Translate evaluation needs into clear guidance for data systems, working with partner staff and technical administrators as needed. • Support early execution of evaluation and learning activities, particularly during start‑up phases, while partners build internal capacity. • Develop tools, templates, and protocols that enable partners to sustain evaluation and learning processes over time. • Serve as a thought partner to practitioner staff—connecting data, evidence, and learning to real‑world decision‑making. • Produce high‑quality deliverables such as evaluation frameworks and playbooks, data collection tools and protocols, reporting templates, learning briefs, and synthesis memos.

Role Description The Research team at The Movement Cooperative (TMC) is seeking a Social Scientist who is intellectually curious, technically rigorous, and deeply committed to progressive politics. As a key member of our mixed-methods team, you will design, implement, and conduct analysis on studies—using randomized controlled trials (RCTs) and other rigorous techniques—that equip our member organizations with the evidence-backed strategies they need to build and steward power. We are a collaborative, small team that bridges the gap between complex data and actionable strategy. We don't just produce reports; we work in lockstep with our partners to identify critical questions, implement studies, and translate findings for both technical and non-technical audiences. Our mission is rooted in ensuring the progressive movement has the evidence base and tools necessary to win systemic change. Responsibilities - Executing quantitative, statistical, and experimental projects from beginning to end — including project scoping and project management, identifying research questions, research design, survey design, randomization, implementation, analysis, writing up results, and presenting. - Maintaining strategic research partnerships and relationships with member organizations, progressive organizations, and key stakeholders. - Ensuring that our research translates into actionable insights and clear programmatic recommendations for our member organizations. - Communicating findings to technical and non-technical audiences and stakeholders. - Paying particular attention to underexplored topics with an equity lens. - Working alongside other members of the team to continue to articulate the team’s vision and priorities, and to help generate ideas for new avenues for research or ways to deepen existing research. Qualifications - Proven track record of independently designing and executing multiple quantitative, applied social science projects. - 1+ years of experience managing the full lifecycle of experimental research, including design, implementation, and analysis. - Experience in building and maintaining relationships with diverse external organizations and clients. - Extensive knowledge of causal inference, survey methodology, and/or statistics. - Deep familiarity with Python or R. - Familiarity with SQL. - Strong project management skills and the ability to juggle multiple complex projects at once. - Strong communication, writing, and presentation skills, with the ability to articulate complex concepts across varied audiences, including funders. - Interest in working collaboratively as part of a small team and trying new things. - Dedication to furthering the reach and impact of TMC members' work. - Commitment to incorporating diversity, equity, and inclusion into everyday work. Preferred Qualifications - 2+ years running field experiments in the progressive political space — e.g., involving individual-level turnout data, precincts, or surveys. - Any experience in a research, data science, or analytical role in the progressive political space (e.g., polling, survey experiments, modeling). - Wide methodological repertoire for causal inference using observational or qualitative data. - Wide methodological repertoire around data science, machine learning, artificial intelligence. - Having a range of pre-existing relationships within the pro-democracy political space. - Experience with AWS and GCP tools (e.g., BigQuery, Google Cloud Storage, S3). - Experience working on campaigns, electorally focused, advocacy, or political data organizations. - An advanced degree in the social sciences (e.g., political science, sociology), statistics, or an equivalent. - Experience and/or interest coordinating with external contractors and vendors. - Experience working with voter file data and data associated with common political tech tools (e.g., VAN, peer-to-peer texting, dialers). Physical Requirements - Prolonged periods of working on a computer. Location Requirements - While TMC’s workplace is remote, we require staff members to reside in and work in the continental United States. Benefits - Competitive salary. - World-class healthcare, dental and vision benefits. - Retirement plan. - Unlimited paid vacation and sick days. - Flexible holidays and all-staff holidays. - Remote virtual office stipends. - Paid parental and adoption family leaves. - Health and wellness benefits. - Starting salary range for this position is $97,470 - $100,547. - TMC adheres to a 5 year compensation plan allowing for time-in-role based raises. - This is a full-time exempt position. Next Steps Please submit your anonymized resume and cover letter in PDF format before 6pm ET on June 22, 2026. TMC understands that unconscious bias can influence the resume review process. As such, we are intentionally combating this by requesting anonymized application materials. We ask that you please double-check that you fully anonymized your application materials, including any names in publications. Here’s what you can expect from our interview process: - Application Review - Take-Home Skills Test - Code Along + Panel interview (~1.5 hours) - Interview with Deputy Director of Research (~30 minutes) Applications must be submitted by 6:00 p.m. ET on June 22, 2026. We are looking to fill this position by August 2026. Equal Opportunity Statement The Movement Cooperative is an equal opportunity employer. The Movement Cooperative recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, gender, gender identity, sexual orientation, citizenship status, disability, age, veteran status, and other protected status as required by applicable law. At The Movement Cooperative, we have a clear vision: to be an organization where a diverse mix of talented people are inspired to do their best work, incentivized to stay with us year-over-year, and can progress in their careers in meaningful and impactful ways. We pride ourselves on bringing the best to our members, and we know our organization runs on the hard work, well-being, and dedication of our passionate and creative employees.