Research Assistant I

About the Role The Access to Justice Lab at Harvard University is hiring a full-time Research Assistant I. This role supports research focused on improving access to justice. The position is based in Cambridge. What You Will Do Assist with research projects that study access to justice issues Support data collection, analysis, and reporting Contribute to policy analysis and related tasks as needed Who This Role Suits This position fits individuals interested in starting a career in social justice research or policy analysis. Recent graduates and those seeking hands-on experience in an academic research setting are encouraged to apply.

Join Harvard University as a Research Assistant I in the Department of Molecular and Cellular Biology. In this pivotal role, you will support groundbreaking research projects that advance our understanding of biological processes at the molecular level. This position offers a unique opportunity to collaborate with leading scientists, gain hands-on experience in cutting-edge laboratory techniques, and contribute to innovative scientific discoveries.

Harvard University’s Psychology Lab in Cambridge seeks a Research Assistant I to support research projects in the social sciences. This position offers the chance to work directly with ongoing studies and gain experience in a university research environment. Main responsibilities Assist with data collection for laboratory studies Conduct literature reviews to support research directions Help with experimental design and setup Who will thrive in this role This position is a strong fit for those interested in practical research experience in psychology or related disciplines. It provides hands-on involvement in lab work and exposure to the daily operations of a university research team.

Join the esteemed team at Harvard University as a Research Assistant I in the Department of Molecular and Cellular Biology. This full-time position offers an exciting opportunity to contribute to groundbreaking research in the sciences. You will assist in various research projects, working closely with senior researchers to gather and analyze data, prepare reports, and participate in laboratory activities.

About the Role The Belfer Center for Science and International Affairs at Harvard University seeks a Research Assistant I (Non-Lab) to join its team in Cambridge. This position supports research projects focused on international affairs, global security, energy, and environmental topics. What You Will Do Assist scholars and researchers with data collection, literature reviews, and analysis Support the preparation of research materials and reports Contribute to the study of issues shaping global security, energy policy, and environmental challenges Work Environment Work alongside leading experts in international affairs at Harvard University’s Belfer Center. Collaborate in a setting dedicated to impactful research and policy analysis.

Role Overview Harvard University is seeking a full-time Research Assistant in Cambridge. This role supports ongoing research projects and fosters collaboration with faculty and students across disciplines. What You Will Do Assist with research initiatives led by faculty members Work closely with students and staff in a team setting Contribute to the advancement of research goals within the university Location This position is based on campus in Cambridge.

Job Summary:The Research Assistant III will play a vital role in the Ramanathan lab at Harvard University, collaborating closely with graduate students and postdoctoral researchers. This position involves conducting scientific experiments in the specialized field of stem cell biology and human development with a high degree of independence. The successful candidate will coordinate various facets of ongoing research projects, execute laboratory experiments using advanced techniques and equipment, and manage collaborations with external laboratories as necessary. This role may also include the training of new lab members in established scientific methods.Key Responsibilities:Coordinate multiple aspects of research projects and perform laboratory experiments utilizing specific techniques and equipment.Generate cortical tissue from various cell lines, including induced pluripotent stem cells (iPS cells), embryonic stem cells, and a Good Manufacturing Practice (GMP) line.Conduct genetic modifications, manage passaging, and maintain both parental and modified fluorescent reporter lines.Utilize cell printing, optimize differentiation protocols for each cell line, and prepare tissues for shipment to collaborators working with primates.Prepare samples for single-cell transcriptomics and validate them using antibody staining techniques.Set up incubators and shakers, monitor differentiation processes, and establish a robust experimental pipeline.Collaborate with lab members on experimental design, protocol establishment, and the development of innovative laboratory techniques.Process, organize, summarize, and analyze data; report results using a variety of scientific, word processing, spreadsheet, or statistical software applications.May provide training and guidance to others in laboratory techniques and procedures.Assist with laboratory maintenance tasks, including the procurement of equipment and supplies, liaising with vendors, and engaging in special projects as required.Working Conditions:This position is primarily performed in a laboratory environment on the Cambridge campus.Involves working with hazardous materials and human cell cultures.Physical Requirements:May require lifting, moving, and transporting research equipment.

We are seeking a motivated and detail-oriented Scientist I to join our dynamic team in Cambridge. The ideal candidate will have a strong background in scientific research, with a passion for innovation and problem-solving. This entry-level role offers an exciting opportunity to contribute to groundbreaking projects and advance your career in a collaborative environment.

Join the innovative team at gt-bio as a Research Assistant and Laboratory Technician. In this role, you will have the opportunity to support cutting-edge research initiatives and contribute to our mission of advancing biotechnological innovations. Your responsibilities will include conducting experiments, collecting and analyzing data, and collaborating closely with senior researchers.We are looking for a motivated individual who is passionate about scientific research and eager to learn. This position offers a dynamic work environment where you can develop your skills and grow your career in the biotech field.

We are seeking a dedicated and detail-oriented Research Associate I / Cell Culture Technician to join our dynamic team. This role is pivotal in supporting our research initiatives through precise cell culture techniques and laboratory procedures. The ideal candidate will be responsible for maintaining cell lines, performing assays, and assisting in various research projects.

Make an Impact at Lila Sciences As a pivotal member of our Physical Sciences division, you will spearhead the design and implementation of cutting-edge simulation methodologies aimed at modeling transport phenomena, kinetics, rare events, and reaction networks. Your innovative approaches will be integrated with artificial intelligence platforms to facilitate groundbreaking materials discovery. Your contributions will be essential in predicting, designing, and managing the behaviors of intricate materials and molecular systems, leveraging the power of agentic AI. Collaborating with our diverse teams, including experts in machine learning and materials science, you will help bridge theoretical research and practical experimentation. What You Will Create Enhance and develop molecular dynamics and Monte Carlo algorithms to effectively capture rare events, non-equilibrium processes, transport phenomena, and intricate reaction networks. Create scalable simulation workflows that merge statistical mechanics techniques with machine-learned interatomic potentials and agentic AI systems. Devise methods for synchronizing dynamic simulations with experimental observations to enable automated lab verification and discovery. Work collaboratively with computational scientists, machine learning specialists, and platform engineers to elevate the accuracy and scalability of simulation-driven material discoveries. Establish reproducible and modular software pipelines for statistical mechanics and dynamics simulations, optimized for high-performance computing and cloud environments. Qualifications for Success A PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. A robust background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling techniques. Proven expertise in molecular dynamics, Monte Carlo simulations, and/or kinetic simulation software frameworks (e.g., LAMMPS, GROMACS, OpenMM, HOOMD). Strong programming skills and experience in scientific computing (Python, C/C++, MPI, CUDA, etc.). Experience in executing and automating simulations on high-performance computing (HPC) and/or cloud platforms at scale. Bonus Qualifications A solid publication record showcasing the application of advanced statistical mechanics or dynamics simulations to molecular and materials systems, including molecular/biomolecular systems and solid-state materials and interfaces. Experience in integrating dynamics simulations with data-driven, AI-based, and/or agentic frameworks.

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.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

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.

We are seeking a passionate and detail-oriented Scientist I to join our innovative team at Integrated Resources Inc. This entry-level position offers a fantastic opportunity to contribute to groundbreaking research and development projects. You will work closely with experienced scientists to support various laboratory activities, including experimental design, data collection, and analysis.

We are seeking a detail-oriented and motivated Research Associate to join our dynamic team at Integrated Resources, Inc. As a Research Associate, you will play a pivotal role in conducting research, analyzing data, and supporting various projects that contribute to the advancement of our organization’s goals.Your responsibilities will include collaborating with cross-functional teams, preparing reports, and presenting findings to stakeholders. This position offers an excellent opportunity for professional growth and development in a fast-paced environment.

Your Role at Lila Sciences As a key contributor to our Physical Sciences division, you will focus on advancing the field of in silico materials discovery techniques. Your responsibilities will involve designing autonomous workflows and data-driven pipelines that effectively integrate simulation with artificial intelligence. You will lead the development of strategies that empower agents to analyze simulation data, derive hidden insights, and facilitate hypothesis generation and materials design. Your innovative approach will enhance our utilization of simulation outputs for discovery, fostering a seamless integration of physics-based modeling with AI reasoning systems. Collaboration with specialists in simulation, AI agents, and experimental automation will be pivotal as we strive to redefine the landscape of digital discovery. Key Contributions Create cutting-edge workflows for in silico materials discovery that link physics-based simulations and generative AI models. Develop intelligent systems where AI agents autonomously design, execute, interpret, and optimize simulations. Establish frameworks that maximize the utility of simulation data for prediction, inference, and discovery, with features like automatic data extraction and model training. Prototype and assess novel paradigms for simulation-aware agents that learn from and interact with scientific simulations. Design data structures, metadata specifications, and APIs to ensure smooth information transfer among simulations, machine learning models, and experimental data repositories. Build scalable, modular workflows that connect electronic structure, atomistic, and mesoscale simulations with AI-driven reasoning and hypothesis generation. Work alongside computational scientists, machine learning professionals, and platform engineers to integrate in silico discovery pipelines into Lila’s overarching scientific superintelligence framework. Qualifications for Success PhD or equivalent experience in Computer Science, Materials Science, Chemistry, Physics, Applied Mathematics, or related fields. Strong background in in silico materials discovery, computational materials modeling, and/or simulation workflow design. Familiarity with large language models and their applications in scientific research. Experience in developing AI-driven or agentic workflows for scientific automation and discovery. Proficient programming skills in Python and scientific computing libraries.

The Harvard Kennedy School (HKS) is excited to announce a groundbreaking initiative aimed at establishing a premier research enablement environment for public policy. Over the next two years, we will implement and rigorously evaluate innovative strategies to tackle the growing complexities of the research and research compliance landscape. This role is crucial in driving this transformative work.As a vital member of the Research Computing and Data Services (RCDS) team within Library and Research Services (LRS) at HKS, and reporting directly to the Director of Research Computing and Data Services, the Research Navigator will oversee the creation of a streamlined logistical framework for navigating the research compliance ecosystem that Principal Investigators and researchers encounter at HKS. You will develop systems to monitor ongoing research throughout its lifecycle, pinpoint obstacles, and take proactive measures to eliminate barriers and resolve bottlenecks. Collaborating extensively across multiple administrative offices within HKS and across Harvard, you will engage in problem-solving, design, and propose policy and process enhancements to ensure prompt initiation of research projects. Under the guidance of the HKS Chief Research Data & Privacy Officer and the Director of Research Computing and Data Services, this position will also explore and pilot new initiatives to enhance the research experience at HKS.We are looking for candidates who possess:An innovative and entrepreneurial mindset combined with robust analytical and logistical skills.A demonstrated ability to function effectively in a distributed organization that necessitates collaboration with diverse stakeholders to achieve goals.A capacity to engage with research, business, legal, and technical experts as needed to devise and implement solutions.A proactive approach and proven capability to tackle cross-functional challenges across organizational boundaries.Experience working effectively in collaborative or team environments.A commitment to fostering belonging, community, and connections within the workplace.At LRS, we prioritize continuous learning. You will be encouraged to pursue new areas of knowledge relevant to this role and apply your new skills on the job. Additionally, you will support and promote this learning culture among other LRS members.HKS, including LRS, is dedicated to cultivating a welcoming and supportive environment for staff, faculty, and students. This position will contribute to building such a community and fostering an atmosphere in LRS that values and prioritizes belonging, community, and connection.

Join Harvard University as a Research Analyst where your analytical skills will contribute to groundbreaking research projects. As a Research Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets, providing insights that will drive strategic decisions. Collaborate with faculty and researchers to enhance the university's research capabilities and contribute to impactful studies.

We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. As a key member of our research department, you will be responsible for conducting cutting-edge experiments, analyzing data, and contributing to groundbreaking discoveries in your field. You will collaborate with a diverse group of scientists and researchers to drive projects that align with our mission of advancing scientific knowledge.