Research Scientist

Role overview Harvard University seeks a Principal Research Scientist for the Sciences - Chemistry and Chemical Biology department in Cambridge. This role leads research efforts, working closely with faculty and other researchers to advance scientific understanding in chemistry and chemical biology. What you will do Direct research projects in chemistry and chemical biology Collaborate with faculty and research teams on experimental design and analysis Apply innovative methods to address complex scientific questions Contribute to scientific publications and presentations

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.

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.

Your Contribution at Lila At Lila, we are assembling a highly skilled and proactive AI safety team that will collaborate with all core departments, including science, model training, and lab integration, to effectively address risks associated with scientific superintelligence. The primary mission of this team is to develop and execute a tailored safety strategy that aligns with Lila's unique objectives and deployment methodologies. This will encompass formulating technical safety strategies, engaging with the broader ecosystem, and producing technical documentation such as risk and capability assessments and safety measures. Your Responsibilities Establish the research and development strategy for Lila’s safety framework concerning biological and physical risks. Design and implement capability evaluations to identify scientific risks (both recognized and novel) arising from state-of-the-art scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, including monitoring advancements in technologies and their applications. Create and curate high-quality training and testing datasets for evaluations and safety systems. Assess risks linked to Lila’s capabilities, considering interactions with the broader ecosystem of capabilities (including general-purpose frontier models and specialized scientific tools). Contribute to extensive, high-quality research initiatives when needed for scientific capability evaluation and restriction. Engage in external communications regarding Lila’s safety initiatives. Qualifications for Success A PhD in a biological sciences field (e.g., molecular biology, virology, computational biology) or a physical sciences field (e.g., materials science, physics, chemistry, chemical or nuclear engineering) or equivalent experience. Proven track record in setting research directions for open issues surrounding dual-use risks in biological and physical sciences. Experience in scientific computing within the biological or physical sciences. Understanding of dual-use research and dissemination issues in relation to relevant safety, regulatory, and governance frameworks (e.g., export controls, biological and chemical-related conventions). Excellent communication skills, capable of articulating complex technical concepts to non-specialist audiences. Demonstrated leadership capabilities in guiding teams of internal and external collaborators in developing Lila's perspective on biological and physical risks.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is a forward-thinking initiative that builds upon Flagship Pioneering's rich history of establishing groundbreaking scientific and computational enterprises. By leveraging cutting-edge advancements in artificial intelligence, machine learning, and data science, we aim to accelerate fundamental research and cultivate a dynamic portfolio of AI-first companies. As an integral part of Flagship's unique model that intertwines science, entrepreneurship, and investment, we transform revolutionary concepts into impactful companies, enhancing AI innovations that contribute to human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Methods to spearhead various AI/ML and computational initiatives across early-stage ventures within our company origination framework. Your responsibilities will include defining and executing practical AI strategies, overseeing the development of methodologies and platforms (including systems design, drug design, molecular modeling, systems biology, protein design, and LLM-based workflows), and ensuring a high standard of rigor in model development, benchmarking, scaling, and reporting. You will also manage cross-functional teams as necessary, influence the strategic direction of our initiatives, and represent Pioneering Intelligence to venture teams and external collaborators. The ideal candidate is a self-motivated individual with a diverse skill set, capable of transitioning seamlessly from protein design to mass spectrometry or docking pipelines, and then creating LLM-based agents to streamline scientific workflows.

ABOUT PIONEERING INTELLIGENCEPioneering Intelligence extends Flagship Pioneering's tradition of launching innovative scientific and computational initiatives. By leveraging the latest advancements in AI, machine learning, and data analytics, we aim to expedite fundamental research and build a diverse portfolio of AI-first companies. As a key player in Flagship's integrated approach to science, entrepreneurship, and investment, we transform groundbreaking concepts into transformative enterprises that enhance AI innovations in human health, sustainability, and more.THE ROLEWe are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Techniques to spearhead various AI/ML and computational initiatives across early-stage ventures in our company origination process. You will be responsible for defining and executing practical AI strategies, overseeing the development of methodologies and platforms such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM-driven workflows while ensuring the utmost rigor in model development, benchmarking, scaling, and reporting. You will manage cross-functional contributors as necessary, influence the strategic direction of the company, and represent Pioneering Intelligence to venture teams and external partners. The ideal candidate is a proactive, deep thinker who can seamlessly transition between protein design one week and mass spectrometry or docking pipelines the next, while also developing LLM-based agents to automate scientific workflows.

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.

About Graphcore At Graphcore, we are pioneering the future of artificial intelligence computing. Our team comprises semiconductor, software, and AI specialists with extensive expertise in developing the complete AI compute stack—from silicon and software to large-scale infrastructure. As a proud member of the SoftBank Group, we benefit from substantial long-term investments, enabling us to contribute essential technology to the rapidly evolving SoftBank AI ecosystem. To capture the immense potential of AI, Graphcore is expanding globally, uniting the brightest minds to tackle the most challenging problems, where every individual is empowered to make a significant impact on our company, our products, and the future of AI. Job Summary As a Research Scientist at Graphcore, you will play a vital role in advancing AI research by exploring innovative ideas that address significant AI/ML challenges. The evolution of AI has been primarily driven by specialized hardware over the past decade, and we believe that developing hardware-aware AI algorithms and AI-optimized hardware will remain crucial for progress in this exciting domain. We seek candidates who are not only curious scientists but also proficient engineers, equipped with both theoretical knowledge and practical skills essential for impactful AI research. We welcome applicants with experience in low-power, edge, and embodied AI applications, including robotics, autonomous vehicles, and augmented/virtual reality. Your expertise will contribute to the training and deployment of multimodal AI models in these contexts, focusing on areas such as world models, real-time computer vision, and reasoning over audio and video streams. The Team The Graphcore Research team engages in both fundamental and applied research to define the computational needs of machine intelligence and showcase how hardware advancements can lead to the next generation of innovative AI models. We actively publish in leading AI/ML conferences (NeurIPS, ICML, ICLR) and participate in specialized workshops while collaborating with various research teams and organizations globally. We take pride in fostering a supportive and collaborative environment, where we organize ourselves around individual research interests to collectively solve challenges in domains such as efficient computation, model scaling, and distributed training and inference of AI models across multiple modalities and applications, including sequence and graph-based data. Our teams are spread across London, Cambridge, and Bristol, with projects and discussions that involve all locations.

Imagine... being part of an innovative organization that cultivates and develops life sciences companies dedicated to pioneering groundbreaking technologies aimed at revolutionizing health care and sustainability. Company Overview Expedition Medicines is a dynamic, privately held, early-stage biotechnology company at the forefront of the Protein Editing field. We specialize in creating small molecules that modify protein structure and function to target currently undruggable options across various therapeutic strategies. Our advanced platform combines cutting-edge small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to facilitate generative design. Backed by Flagship Pioneering, we leverage their vision, courage, and resources to propel Expedition Medicines from platform validation to impactful patient solutions. We seek passionate, collaborative, and determined problem solvers to join our mission! Role Overview: The Senior/Principal Scientist in Structural Biology will concentrate on determining protein-ligand complex structures using X-ray crystallography and cryo-electron microscopy (cryo-EM). This role involves delivering structural insights and collaborating with project teams to advance structure-based drug design and uncover the mechanisms of action of small molecules. Key Responsibilities: Design and implement structural biology strategies for multiple projects. Oversee the design, expression, and purification of protein constructs for structural determination. Develop and execute protocols to achieve high-quality crystals for X-ray crystallography. Create and implement protocols for grid optimization, data collection, and analysis in cryo-EM. Refine and communicate structures of protein-ligand complexes, collaborating with project teams to drive hit-to-lead and lead optimization processes. Manage contract research organizations (CROs) to ensure efficient delivery of protein expression and structural biology services. Enhance our capabilities and serve as a trusted authority in the field of structural biology.

Join Artech Information Systems LLC as a Scientist and be a part of groundbreaking research initiatives in the heart of Cambridge. This role offers a unique opportunity to contribute to innovative projects, collaborate with a team of experts, and advance your career in a dynamic environment.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence continues the legacy of Flagship Pioneering by creating innovative scientific and computational ventures. Utilizing advancements in AI, machine learning, and data analytics, our mission is to expedite fundamental research and establish a diverse portfolio of AI-first companies. We integrate science, entrepreneurship, and capital to transform groundbreaking concepts into impactful companies, furthering AI advancements in human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist in Embedded Machine Learning/Computational to spearhead multiple AI/ML and computational projects within early-stage ventures as part of Flagship’s origination process. Your responsibilities will include defining and executing effective AI strategies, leading method and platform advancements (such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM/agentic workflows), and ensuring excellence in model development, benchmarking, scaling, and reporting. You'll collaborate with cross-functional teams, shape the direction of the company, and represent Pioneering Intelligence to both venture teams and external partners. The ideal candidate is a proactive deep diver, capable of transitioning from protein design to mass spectrometry or docking pipelines, and then developing LLM-based agents to streamline scientific workflows.

Charles River Analytics, a proud member of the GRVTY family, is at the forefront of developing innovative solutions and advanced technologies designed to address some of the most challenging issues faced globally. Our dynamic team of tech entrepreneurs collaborates to enhance AI, robotics, intelligent sensing, and human-centered computing. The research and technology we develop not only propel government initiatives but also unveil new opportunities in the commercial sector. At Charles River, we take immense pride in cultivating a workplace that attracts and retains top-tier talent and creative problem-solvers in the industry. Join us as we strive to accelerate our mission-driven innovations!We are currently seeking a dedicated Senior/Principal Scientist with expertise in Human-Systems Integration, Human Factors, or Human-Computer Interaction. In this role, you will spearhead the development of cutting-edge tools and interfaces that empower users to effectively collaborate with technology in demanding environments.Your responsibilities will include leading and expanding teams of researchers, designers, and engineers to assess work domains and user needs, create novel human-AI interaction concepts, and evaluate interactive prototypes. You will also be responsible for defining and directing technical projects, while fostering robust relationships with clients, sponsors, and collaborators. As a subject matter expert in Human Systems, you will work alongside multidisciplinary teams to explore and pursue research opportunities across various technical domains.

Join us at the Toyota Research Institute (TRI) as we strive to enhance the quality of human life through innovative technologies. Our mission is to create groundbreaking tools that enrich human experiences. To spearhead this transformative evolution in mobility, we've assembled a stellar team that is pushing the boundaries in artificial intelligence, robotics, driving, and material sciences.The TeamWithin TRI's Energy and Materials division, the Future Factory team is dedicated to pioneering advanced tools and methodologies that drive flexibility and efficiency in Toyota's product design and manufacturing processes. Our goal is to expedite the journey towards an emissions-free future. We are developing comprehensive AI systems capable of reasoning through the creation of physical objects — from initial design concepts to the assembly of actual components — and building the necessary infrastructure to train and evaluate these systems on a large scale.The OpportunityWe are seeking a Research Scientist to help us build intelligent systems for physical assembly. This role is an excellent fit for recent PhD graduates with a proven track record in implementation and a deep curiosity about the manufacturing process.As a member of our research team, you will design and implement learning pipelines from the ground up, conduct experiments to assess various architectural, data, and algorithmic alternatives, and influence the application of modern machine learning to the challenges of robotic assembly. Your work will intersect policy learning, reinforcement learning, and physical reasoning, allowing you to explore the integration of large language models and agentic infrastructure in solving real-world manufacturing challenges.

Join Integrated Resources Inc. as an Associate Scientist III in Cambridge, where you'll contribute to groundbreaking scientific research and development. In this role, you will collaborate with a dynamic team to analyze and interpret data, develop experimental protocols, and ensure the highest standards of quality control. Your expertise will play a crucial role in advancing our innovative projects and achieving scientific excellence.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges in Artificial Intelligence and Robotics. Our goal is to pave the way for future generations of intelligent machines that enhance our daily lives.Position OverviewWe are seeking passionate and innovative Research Scientists with substantial hands-on research experience in one or more of the following areas: Cognitive AI, Athletic AI, Organic Hardware Design, or Robot Ethics. If you're enthusiastic about advancing robotic technology and its applications to improve functionality and effectiveness, we invite you to join our team!

COMPANY DESCRIPTION We are a pioneering start-up dedicated to transforming the landscape of chemical discovery. Our innovative platform integrates artificial intelligence with a state-of-the-art laboratory discovery pipeline to redefine molecular formulation development. Our interdisciplinary team is exploring uncharted chemical territories, facilitating significant advancements in drug delivery, agricultural formulations, and sustainable, high-performance industrial chemicals. Backed by Flagship Pioneering, a leader in biotechnology origination, we have fostered over 115 scientific ventures in 25 years, generating more than $20 billion in aggregate value, 500+ patents, and over 50 clinical trials for groundbreaking therapeutic agents. THE ROLE We are on the lookout for a passionate and skilled Senior Research Associate or Associate Scientist to enhance our formulation discovery platform by characterizing biomolecules. This position involves utilizing a range of biophysical and biochemical methodologies to analyze the effects of formulations on biomolecular integrity, aggregation, and functional stability. You will collaborate closely with chemists and machine-learning experts to produce high-quality experimental data that drives formulation design and predictive modeling initiatives. The ideal candidate will possess a solid background in biochemistry, structural biology, or biopolymer engineering, complemented by practical experience with analytical instrumentation for biomolecular characterization. KEY RESPONSIBILITIES Conduct experiments assessing biomolecular stability and solubility across various formulation conditions. Evaluate cargo structural integrity and folding utilizing circular dichroism (CD) spectroscopy and complementary biophysical techniques. Measure biomolecular interactions and stability through spectroscopy, dynamic light scattering, and electrophoretic methods. Prepare samples for diverse external workflows to evaluate molecular integrity and degradation. Experimental Pipeline Support Collaborate with formulation chemists to investigate cargo-formulation interactions across different experimental contexts. Generate high-quality experimental datasets to assist internal modeling and data analysis processes. Support laboratory instrumentation maintenance and troubleshooting. Maintain organized laboratory records, analyze results, and communicate findings effectively to cross-functional teams.

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.

Your Contribution at Lila Sciences As a Robotics Scientist at Lila Sciences, you will spearhead the research and innovation of autonomous robotic systems that form the intelligent physical backbone of our cutting-edge scientific superintelligence platform. You will be instrumental in developing groundbreaking algorithms and deploying advanced robotic solutions that engage seamlessly with human scientists and intricate laboratory settings. Your efforts will propel our mission forward by establishing fully autonomous workflows for scientific exploration, merging state-of-the-art robotics, machine learning, and systems engineering. Projects You Will Undertake Innovating advanced methodologies for precise and dexterous robotic manipulation that utilize foundation models, reinforcement learning, diffusion-based techniques, and human input, enabling adaptable and intelligent robotic systems capable of executing complex tasks in a variety of scientific environments. Creating novel frameworks for human-robot interaction that integrate imitation learning and learning from human feedback, demonstrations, and corrections, fostering intelligent robotic agents that can smoothly blend into human scientific workflows and swiftly adapt to new experimental scenarios. Enhancing dexterous manipulation research through avant-garde machine learning techniques, including diffusion models and adaptive learning algorithms, synthesizing multi-modal sensing (tactile, visual, and linguistic) to develop generative skill representations and sophisticated motor learning policies for intelligent robotic systems. Designing autonomous robotic systems equipped with trust calibration mechanisms, allowing intelligent agents to dynamically modify their behaviors based on contextual information in challenging scientific tasks.

Join our innovative team as a Senior Scientist where you'll drive critical research projects and make a significant impact in the field. We are seeking a highly motivated individual with a passion for scientific discovery and a strong background in relevant disciplines.