Senior Research Engineer, Mechanical Intelligence in Multimodal Models

Job Summary: The Center for Education Policy Research (CEPR) at Harvard University is on the lookout for a highly skilled Senior Research Manager. This pivotal role involves overseeing and enhancing the analytical efforts of the Center, which collaborates with school districts, charter school networks, and state education agencies to apply rigorous research methodologies and data analysis to inform strategic management and policy decisions. CEPR is dedicated to revolutionizing education through research and evidence, and believes that all students can succeed when education leaders rely on data-driven decision-making rather than intuition or untested assumptions. The Senior Research Manager will play a crucial role in this mission by leading innovative quantitative research on key issues and developing agile research models that better equip education leaders. The selected candidate will spearhead the development, management, and execution of high-quality analyses on significant educational topics. This role will likely involve managing a research partnership with an education non-profit organization in the Philippines and its governmental partners, focusing on school improvement and research agenda development. Additionally, the Senior Research Manager will support various projects within CEPR and supervise Research Analysts across multiple initiatives.Duties & Responsibilities:As a Senior Research Manager, your primary responsibilities will include:Leading analytics across diverse projects throughout the research life cycle, which entails formulating research questions, designing studies, writing grant proposals, collecting data, conducting analyses, and authoring reports and academic papers.Managing research analysts while providing professional development and training workshops to enhance their research competencies and professional skills through mentorship and collaborative learning experiences.Delivering technical training to analysts and staff from local education agencies on research methodologies and appropriate statistical methods.Facilitating joint meetings for the research team, project directors, and principal investigators.Collaborating closely with executive leadership, principal investigators, and representatives from partner organizations to refine ideas and strategies for new projects, identifying funding opportunities, and designing research frameworks.Ensuring the effective execution of research projects by developing comprehensive work plans, adhering to project timelines, and coordinating tasks for ongoing and future CEPR projects.Building professional relationships of trust with internal and external stakeholders, including data administration personnel, program staff, and principal investigators.Ensuring the integrity and quality of all research outputs.

We are seeking a highly motivated Senior Research Associate to join our dynamic team at Integrated Resources, Inc. In this pivotal role, you will conduct advanced research, analyze data, and contribute to innovative projects that drive our mission forward. If you are passionate about scientific research and eager to make an impact, we want to hear from you!

We are seeking a talented and dedicated Senior Research Associate to join our dynamic team in Cambridge. In this role, you will contribute to innovative research projects and collaborate with interdisciplinary teams to drive impactful findings.

Join our dynamic team at Integrated Resources Inc. as a Senior Neurology Research Associate, where you will play a pivotal role in advancing groundbreaking research in neurology. You will collaborate with top-tier professionals, contributing to innovative projects that drive the future of neurological health.

At Iterative Health, we are at the forefront of healthcare technology and services, dedicated to revolutionizing clinical research and enhancing patient outcomes. Our Site Network is a distinguished consortium of over 70 clinical research sites across the United States and Europe, accelerating the introduction of innovative therapies in gastrointestinal (GI) and hepatology. We focus on empowering our partner sites with technology-driven services, combining extensive clinical trial expertise with cutting-edge artificial intelligence (AI), enabling research teams and sponsors to broaden and hasten access to essential therapeutics for patients.We are pioneering the integration of advanced, proprietary AI tools in cardiology and drug development, aiming to significantly enhance clinical decision-making while improving patient lives through superior diagnosis, disease management, and treatment.As a Senior Clinical Research Specialist I, you will report to the Head of Cardiology and Growth, collaborating closely with the Director of Clinical Research (Cardiology) to integrate Iterative Health’s services and AI solutions at cardiology-focused clinical research sites nationwide. This role requires exceptional communication skills, customer engagement, and comprehensive clinical research expertise, coupled with a robust strategic skill set. You will directly support a portfolio of sites by assessing their current state using our established methodologies, delivering tailored training and ongoing assistance to promote research best practices, drive the adoption of Iterative Health’s services, and ensure that our sites meet their research objectives.

Join the dynamic team at the Center for Education Policy Research (CEPR) at Harvard University as a Senior Research Analyst (SRA). CEPR is dedicated to revolutionizing education through rigorous research and data-driven decisions, ensuring that educational leaders make informed choices that benefit all students. As part of our commitment to advancing academic success, the SRA will play a pivotal role in analyzing educational trends and outcomes across the nation.The Senior Research Analyst will oversee and contribute to vital research initiatives focused on various educational subjects, including college and career readiness, effective literacy strategies, high-quality curricula, charter school evaluation, and the impact of educational technology. The findings from these studies will not only enhance student performance but will also drive a paradigm shift in data utilization within the education sector. Responsibilities will encompass developing analytic plans, proposing research projects, conducting independent analyses with minimal oversight, crafting reports for diverse audiences, leading technical presentations, and supporting grant applications.Key Responsibilities:Research Analysis:Initiate and lead innovative research analyses by formulating research questions, identifying policies for evaluation, and determining suitable methodologies.Create detailed pre-analysis plans that outline key variables and deliverables, fostering transparency and alignment with open science standards.Collect and respond to feedback from faculty and senior researchers to refine research processes.Manage and process extensive longitudinal datasets, ensuring data quality and integrity.Contribute to the education field by providing insightful analyses and actionable recommendations.

We are open to hiring for this role at various levels of expertise. For the right candidate, this position can be structured as a Senior Research Manager, with compensation tailored to experience and the anticipated scope of work, potentially exceeding the listed pay rate.About the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit research organization dedicated to promoting research and education aimed at facilitating a safe and beneficial transition to advanced AI systems. Our efforts include generating original research and accelerating AI safety initiatives through our fellowship programs.Our first summer fellowship cohort has already published significant papers at the Mechanistic Interpretability Workshop at NeurIPS and had accepted papers at ICLR. Additionally, some fellows have transitioned to roles at Goodfire and Redwood Research. Following a successful launch in 2025, we are poised for rapid expansion in 2026, with plans to host multiple fellowship cycles (Fall, Spring, and Summer), double our fellowship cohort, and quadruple our team size.Refer candidates to us and earn $5,000 if they are hired.The RoleIn this role, you will collaborate closely with research fellows and their esteemed mentors—renowned researchers from Cambridge and beyond—to support pioneering work on interpretability, AI control, formal verification for provably safe AI, evaluations, and various aspects of AI governance and policy. We are looking for research managers with experience in both technical research and governance and policy research.Research Management Responsibilities (0.7 FTE)Conduct regular one-on-one meetings with fellows to provide constructive feedback on research progress, assist in overcoming challenges, and coach them through issues such as debugging research methodologies and preparing literature scaffolds, as well as supporting data collection, analysis, and methodology development for experiments and hypothesis testing.Offer feedback on fellows' research and help cultivate an environment that encourages rigorous approaches among them.Connect fellows with relevant resources, literature, and opportunities available during and after the fellowship program.Facilitate communication between fellows and their mentors to ensure a supportive research ecosystem.

Join our innovative team at Flagship Pioneering Inc., where we are at the forefront of therapeutic discovery. As a Senior Research Associate, you will play a critical role in advancing our understanding of novel therapeutic pathways and contribute to groundbreaking research in the life sciences.

Your Impact at Lila As a Senior or Principal Research Engineer specializing in Synthetic Data, you will play a pivotal role in shaping the vision, roadmap, and execution of our synthetic data initiatives. Your responsibilities will span from asset generation and simulation to integrating machine learning training and achieving measurable enhancements in model performance. Collaborating closely with our Research Engineering team, you will design, generate, and implement artificial datasets aimed at training, testing, and refining Lila’s platform to achieve our strategic objectives. What You Will Build Define and refine the synthetic data strategy along with a comprehensive multi-quarter roadmap. Create evaluation frameworks that effectively connect synthetic interventions with genuine model performance. Establish high standards for asset quality, diversity, thorough documentation, and reproducibility while fostering a robust review culture. What You Will Need to Succeed Over 6 years of experience in applied ML/ML systems, with at least 3 years leading industry initiatives, showcasing a strong track record in advanced algorithms and frameworks designed for large-scale synthetic data generation. More than 8 years of experience working with contemporary ML workflows, including Python, PyTorch, dataset tools, training loops, and evaluation frameworks; adept at profiling and optimizing GPU-intensive pipelines. Bonus Points For A proven history of constructing synthetic datasets from source data to significantly enhance model performance in specific domains. Experience with instruction fine-tuning and hill-climbing techniques. Ability to translate product requirements and feedback into a scalable synthetic data generation pipeline. Knowledge of quantization, distillation, routing, mixture-of-experts, and cost optimization at scale. Experience in compliance-heavy settings (HIPAA, PCI, FedRAMP) and with on-premises/VPC deployments. About Lila Lila Sciences stands at the forefront of innovation as the world’s first scientific superintelligence platform and autonomous lab, dedicated to life sciences, chemistry, and materials science. We are ushering in an era of limitless discovery by harnessing AI to enhance every facet of the scientific method. Our mission is to empower scientists to tackle humanity's most pressing challenges in health, climate, and sustainability at an unprecedented pace and scale. Discover more about our mission at www.lila.ai. If this sounds like an environment in which you would thrive, we encourage you to apply even if your experience doesn't perfectly align with every requirement listed.

Join Harvard University as a Senior Research Software Engineer, where you will play a pivotal role in advancing research through innovative software solutions. You will collaborate with researchers across various disciplines, design scalable systems, and contribute to cutting-edge projects that impact the academic community and beyond.

Senior Research Associate in Chemical BiologyLocation: Cambridge, MA, USACompany: Flagship Pioneering, Inc. (FL116) About FL116 FL116, backed by Flagship Pioneering, focuses on advancing biomolecule synthesis. The team is developing a platform aimed at changing how research, diagnostic, and therapeutic molecules are manufactured. Role Overview The Senior Research Associate in Chemical Biology will join a collaborative group dedicated to applying chemical approaches to biological questions. This position centers on enzyme-mediated biomolecular synthesis, with attention to both mechanistic and molecular details. Main Responsibilities Design and conduct high-throughput experiments to study enzyme-substrate interactions Characterize biomolecular products using established and emerging techniques Support development of scalable assays to expand platform capabilities What We Look For Strong experimental skills and attention to detail Intellectual curiosity about the chemical nature of biological systems Interest in manipulating and measuring biological activities at the molecular level Comfort working in a hands-on, execution-focused, and pipeline-driven setting Motivation to grow with a rapidly evolving technology platform Work Environment This role offers the chance to build expertise at the intersection of chemistry and biology within a collaborative startup supported by Flagship Pioneering. The team values problem solvers who enjoy working on challenging scientific questions and developing new tools for biotechnology and therapeutics.

Fathem develops tools that help scientists visualize and interpret biology at the molecular level. The company integrates cryo-electron microscopy (cryo-EM), artificial intelligence, advanced hardware, and automation to make molecular structures more accessible and speed up drug discovery. As part of Flagship Pioneering, Fathem draws on substantial resources to reshape how biology is explored and applied. Role overview The Senior Research Associate - Cryo-EM will play a key part in refining and executing cryo-EM workflows. This hands-on position focuses on preparing high-quality cryo-EM grids and datasets from a variety of biomolecular samples, including soluble proteins, membrane proteins, and nanoparticles. The role requires close collaboration with protein biochemistry, structural biology, and computational teams to ensure reliable grid preparation and imaging processes that feed into advanced computational modeling. Success in this position means solving complex biochemical challenges and seeing direct impact on scientific outcomes. What you will do Prepare cryo-EM grids and collect data from diverse biomolecular systems, maintaining efficiency and high standards for dataset quality. Carry out the full cryo-EM process, including grid vitrification, screening, and high-throughput data acquisition using Thermo Fisher microscopes. Operate and improve workflows to ensure reproducible, scalable data generation and increase throughput and reliability. Adjust and optimize protocols for challenging samples, refining grid preparation and imaging methods to boost success rates. Run experiments for external partners and clients, ensuring datasets align with project requirements. Work closely with protein science and computational teams to integrate cryo-EM data into broader research projects. Location This position is based in Cambridge, MA, USA.

About the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit organization dedicated to pioneering research and education that facilitates a safe and beneficial transition to advanced artificial intelligence systems. Our mission is to produce original research and expedite AI safety initiatives through fellowship programs.Following the successful launch of our AI Safety Research Fellowship in 2025, where our inaugural cohort made significant contributions including a spotlight paper at the Mechanistic Interpretability Workshop at NeurIPS and placements at prestigious conferences such as ICLR, we are poised for rapid growth in 2026. We are excited to introduce the inaugural AIxBio Research Fellowship, which will apply our mentor-driven research model to the critical intersection of AI and biosecurity.We invite you to refer candidates and earn a $5,000 reward for any successful hires.

Harvard University is seeking an innovative and strategic Associate Director of Research to lead groundbreaking research initiatives. The ideal candidate will possess a deep understanding of research methodologies, strong leadership skills, and a passion for academic excellence. This role involves collaborating with faculty and students to enhance research output and drive impactful scholarship.

Iterative Health is at the forefront of healthcare technology and services, dedicated to accelerating clinical research that transforms patient outcomes. Our Site Network consists of over 70 premier clinical research sites across the US and Europe, focused on expediting the market entry of innovative therapies in gastrointestinal (GI) and hepatology. We empower our partner sites with tech-enabled services, leveraging our expertise in clinical trials and cutting-edge AI to help research teams and study sponsors enhance access to novel therapeutics for patients in need.About the RoleWe are seeking a Senior Manager of Analytics to serve as the primary analytics partner for our operations and go-to-market teams. In this pivotal role, you will be responsible for defining, measuring, and enhancing performance across the business, translating raw data into actionable insights that foster informed decision-making and accelerate execution.This is a hands-on, impactful position ideal for individuals who thrive in data analysis, scalable reporting, and strategic influence. You will collaborate closely with Operations, Sales, and Finance teams to ensure that leaders possess the metrics and insights necessary for efficient growth.

This is a part-time position tailored for researchers, postdoctoral fellows, or professionals eager to contribute to the AIxBio fellowship while balancing other commitments.About the Cambridge Boston Alignment Initiative (CBAI)The Cambridge Boston Alignment Initiative is a nonprofit research organization dedicated to advancing research and education aimed at ensuring that society safely and beneficially transitions to advanced AI systems. Our mission includes producing original research and accelerating AI safety initiatives through innovative fellowship programs.Following the successful launch of our AI Safety Research Fellowship in 2025, which saw its inaugural cohort publish significant findings at the Mechanistic Interpretability Workshop at NeurIPS and contribute to prestigious conferences like ICLR, we are poised for rapid expansion in 2026. We are introducing the AIxBio Research Fellowship, applying our high-touch, mentorship-driven research approach to the critical intersection of AI and biosecurity.The Role OverviewAs a Research Manager, you will collaborate closely with fellows, mentors, biosecurity researchers, AI safety experts, and academic and industry leaders to facilitate pioneering research at the confluence of AI and biosecurity. Your responsibilities will involve evaluating capabilities in biological systems, developing regulatory frameworks to mitigate dual-use research risks, and addressing other research priorities related to AI-enabled biosecurity threats. We welcome candidates with either technical research expertise or experience in policy and governance research. For the ideal candidate, we are flexible with the role's scope and compensation.Research Management Responsibilities (0.7 FTE)Conduct regular one-on-one meetings with fellows, providing essential feedback on their research progress and assistance in overcoming challenges, including refining research designs, creating literature frameworks, and supporting data collection and analysis.Offer in-depth feedback on fellows' research and contribute to fostering an environment that encourages rigor and clarity.Connect fellows with relevant resources, literature, and opportunities in the field of AI and biosecurity during and after their fellowship.Collaborate with fellows' mentors to establish clear research objectives and facilitate the progression of fellows' research projects.Assist in the selection of fellows by reviewing applications and conducting interviews.

Your Role at Lila Sciences We are seeking a talented Senior Software Engineer to collaborate with our Machine Learning Engineers and Researchers. You will be instrumental in developing software that enhances Lila’s ML workflows and research tools. Join a dynamic team of engineers as you contribute to the development, support, and maintenance of Lila’s cutting-edge ML libraries and tools. Your Contributions Create and optimize high-performance, secure, and thoroughly documented Machine Learning libraries that implement algorithms crafted by our machine learning specialists. Develop CI/CD pipelines and integration tests to streamline ML workflows. Design repository architectures that adhere to consistent standards. Assist with debugging, logging, and ongoing maintenance of Ray-based compute environments. Establish data ingestion pipelines connecting lab data with the ML teams. Qualifications for Success A minimum of 8 years of software development experience in commercial environments using Go or Python. Proven track record in implementing scalable software solutions. Familiarity with MLOps systems and GitOps tools (ArgoCD, GitHub Actions). Experience with orchestration frameworks like Ray, Argo, or Airflow. Strong knowledge in containerization, Kubernetes, and infrastructure-as-code tools. Excellent listening skills and the ability to comprehend complex problems and algorithms. Outstanding problem-solving abilities and a collaborative mindset. Self-motivated and detail-oriented, eager to work with dynamic, skilled teams in a fast-paced, entrepreneurial environment. Preferred Qualifications Experience with monitoring and logging tools such as Prometheus and Grafana. Background in research engineering or scientific software development. About Lila Sciences Lila Sciences is at the forefront of scientific innovation, pioneering the world’s first scientific superintelligence platform and autonomous laboratory for life sciences, chemistry, and materials science. We are committed to transforming the landscape of discovery by applying AI to every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges, empowering scientists to deliver solutions in health, climate, and sustainability with unprecedented speed and scale. Discover more about our vision at www.lila.ai.

We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. In this role, you will conduct groundbreaking research, analyze data, and contribute to the development of new solutions in our field. You will work collaboratively with cross-functional teams to drive projects from ideation to execution, ensuring scientific rigor and excellence.

Join our team at Integrated Resources Inc. as an Associate Research Scientist, where you will contribute to cutting-edge research projects that impact real-world applications. We are looking for passionate individuals eager to innovate and collaborate in a dynamic environment. In this role, you will support senior scientists in the design and execution of experiments, analyze data, and contribute to publications. This is a fantastic opportunity to grow your career in scientific research.