AI Research Scientist III

Company OverviewAt 1910genetics, we are revolutionizing biotech through our AI-native approach, leading the charge in small and large molecule therapeutic discovery. Our innovative infrastructure leverages vast multimodal data, cutting-edge AI models, and high-throughput lab automation to redefine drug discovery.We pride ourselves on attracting the top 1% of…

Research Scientist in PhysicsAbout UsPhysical Superintelligence is a pioneering startup with prestigious roots at Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute. We are on a mission to build AI systems that uncover new physics breakthroughs at scale. We invite talented physicists to join our team in crafting evaluation frameworks and verification systems that facilitate AI-driven discoveries in physics.Key ResponsibilitiesTransform cutting-edge physics challenges into machine-verifiable tasks that AI systems can systematically navigate. This role entails writing production-level code, collaborating with AI researchers and engineers, and delivering operational systems that foster large-scale physics discovery.- Design evaluation frameworks across diverse physics domains, including atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, and statistical mechanics.- Create verification harnesses that encode principles of physical validity, conservation laws, and experimental integrity to differentiate authentic physics insights from numerical artifacts.- Integrate advanced physics simulations into AI environments and establish benchmarks that assess genuine physics reasoning.- Collaborate with AI researchers to refine agent architecture and training methodologies, while developing production code that underpins extensive discovery workflows.QualificationsWe are looking for candidates with a PhD in Physics or a related discipline, possessing in-depth knowledge in at least one significant area of physics and proficient programming skills. Ideal candidates should demonstrate a history of addressing complex, unresolved problems and excel in dynamic research settings.Areas of Expertise:- Profound knowledge in atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, statistical mechanics, or equivalent physics disciplines.- Solid understanding of physical validity, conservation laws, and experimental limitations.Programming and Computational Skills:- Proficient in Python and C++, with experience in computational physics simulations and high-performance computing.- Hands-on experience with simulation tools such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS, OpenFOAM, COMSOL, or similar platforms.

About Us: Axiomatic AI is pioneering a new generation of AI systems that apply the scientific method rigorously. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that enhance and assist human researchers within critical scientific and engineering processes. Our Mission, 30×30: We are committed to achieving a 30× enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We envision transforming hardware design and simulation across these sectors and are assembling a team of passionate professionals to translate these advancements from research into commercial products. Position Overview: As an AI Research Scientist specializing in photonic and neuromorphic computing, you will be instrumental in crafting AI algorithms and architectures, as well as simulation and optimization frameworks tailored for innovative, non-traditional computing platforms. You will help develop algorithms, digital twins, and training methods that connect AI, physics, and hardware-aware system design within Axiomatic's next-generation computational science tools. This position is part of Axiomatic's long-term research and product strategy, involving collaboration across various projects and initiatives, and working closely with AI researchers, physicists, and software engineers to translate cutting-edge concepts into scalable, impactful solutions. Your Mission: Simulation and Digital Twins: Create simulation and digital-twin tools that effectively model physical effects such as nonlinearities, noise, and precision limits, facilitating hardware-aware algorithm development. Co-Design and Collaboration: Collaborate with internal AI, software, and hardware teams to ensure cohesive alignment between algorithms, system constraints, and overarching platform objectives, including the automation of scientific workflows. Algorithm and System Design: Architect and prototype machine-learning frameworks and physics-aware optimization workflows for neuromorphic systems, examining efficient mappings of AI models onto emerging hardware substrates. Research, Benchmarking, and Reporting: Assess system-level performance trade-offs, conduct benchmarking studies, document findings, and contribute to technical decision-making across Axiomatic’s R&D portfolio.

Company OverviewAt 1910genetics, we are revolutionizing the biotech industry as the sole AI-native company dedicated to the discovery of small and large molecule therapeutics. Our innovative approach combines vast multimodal data, cutting-edge AI models, and advanced lab automation to create a robust infrastructure for AI-driven drug discovery.We are committed to hiring the top 1% of talent to join our diverse team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in building the world’s first AI infrastructure for tech-enabled drug discovery and in delivering a pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist I at 1910genetics, you will actively contribute as an Individual Contributor (IC) by keeping abreast of the latest scientific literature, prototyping innovative methodologies, and supporting our ongoing drug design initiatives through the application of 1910’s production-ready AI/ML models.

Company OverviewAt 1910genetics, we are at the forefront of biotechnology, uniquely leveraging artificial intelligence to revolutionize the discovery of small and large molecule therapeutics. Our innovative approach integrates extensive multimodal data, cutting-edge AI models, and advanced lab automation, creating an unparalleled infrastructure for AI-driven drug discovery.We pride ourselves on attracting the top 1% of talent to join our dynamic and interdisciplinary team comprised of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in our mission to establish the world’s first AI infrastructure for technology-enabled drug discovery and to develop a robust pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist II at 1910genetics, you will take an active role as an Individual Contributor (IC), engaging with current scientific literature, prototyping innovative methodologies, and contributing to our ongoing drug design initiatives by applying our productionized AI/ML models.

IonQ is at the forefront of quantum computing, pioneering the development of the world's most advanced full-stack quantum computer using trapped-ion technology. Our work transcends the boundaries of classical physics and supercomputing, ushering in a transformative era for computing. Quantum computing holds the promise of significantly enhancing various sectors, including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond. Join us as we redefine industries with our cutting-edge quantum solutions.We are seeking a talented and driven Lead Microwave Research Scientist to join our dynamic team. In this role, you will collaborate with a multidisciplinary team dedicated to advancing IonQ's mission of constructing the most effective quantum computers capable of addressing the globe's most intricate challenges.As a Lead Microwave Research Scientist, you will be responsible for:Collaborating with architecture teams to translate system-level specifications into detailed component-level requirements and design guidelines.Designing microwave circuits while considering performance targets, fabrication capabilities, and interactions with other components.Fabricating and testing prototype devices.Managing partnerships with external vendors to enhance fabrication and testing processes at scale.Working alongside internal testing and measurement teams to verify that devices fulfill specified performance criteria.

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

IonQ is looking for a Senior Research Scientist with expertise in Fabrication to help drive progress in quantum computing hardware. This position is based in Boston, Massachusetts. Role overview This role centers on leading research projects focused on developing new fabrication methods for quantum hardware. The Senior Research Scientist will work closely with colleagues from various disciplines to design, test, and refine fabrication processes that improve the performance and reliability of IonQ’s quantum systems. What you will do Lead research initiatives to create and advance fabrication techniques for quantum computing hardware Collaborate with cross-functional teams to design, implement, and optimize fabrication processes Contribute to the enhancement of IonQ’s quantum hardware capabilities through innovative research Requirements Strong background in fabrication, ideally with experience relevant to quantum hardware Ability to lead research projects and work effectively with multidisciplinary teams Motivation to develop and improve fabrication processes for advanced technology

The Single Cell Core (SCC) at Harvard Medical School is on the lookout for a Research Core Scientist to enhance our team. The ideal candidate will partner closely with the SCC Director to master single-cell RNA-sequencing and spatial transcriptomics techniques. This role involves executing experiments, working collaboratively with researchers to maximize the utility of valuable data derived from rare samples, and optimizing and validating novel technologies across a diverse range of genomics workflows. We seek an innovative, detail-oriented individual with strong analytical skills and exceptional communication abilities, capable of presenting findings in group lab meetings and regional scientific conferences. This position offers a unique opportunity to engage with cutting-edge methodologies at the forefront of next-generation sequencing and spatial transcriptomics, while also providing valuable experience in project management and leadership.Key Responsibilities:Independently conduct intricate single-cell and spatial transcriptomics experiments using various technologies. Manage library preparation and quality control processes. Regularly update and report on experimental progress to users, collaborating with the Director to troubleshoot errors and enhance workflows.Work alongside researchers to design and implement complex experiments utilizing rare samples. As a leading expert in single-cell and spatial transcriptomics at HMS, assist in validating and refining experimental protocols to establish efficient custom workflows, while offering expertise during data analysis and interpretation.Provide training to faculty, trainees, and other staff members on single-cell and spatial transcriptomics instrumentation.Organize and lead promotional and outreach initiatives, including workshops and user group meetings.Oversee core maintenance tasks, including supply procurement, equipment upkeep, and database management. Perform additional duties as necessary, such as billing and administrative tasks.Physical Requirements: Must be able to lift up to 25 lbs.

drug-hunter is hiring a Senior Industry Research Scientist to drive research efforts and foster connections within the pharmaceutical and biotech industries. This fully remote role centers on Boston, Massachusetts, but welcomes candidates who can work effectively from anywhere while engaging with the Boston-area community. What you will do Lead and contribute to research projects that expand industry knowledge Work alongside seasoned professionals to address complex scientific questions Build and maintain relationships with key stakeholders in the pharmaceutical and biotech sectors Location This is a remote position based in Boston, Massachusetts, United States.

About the RoleJoin our innovative team at Bioscope AI as a Data Scientist, where you will play a crucial role in developing intelligent AI agents and retrieval systems that enhance our clinical platform. Your expertise will drive the design of multi-step reasoning systems, agent architectures, and the foundational knowledge infrastructure necessary for AI to autonomously navigate complex clinical workflows.What You'll DoDesign and construct AI agents that excel in multi-step clinical reasoning and tool usage.Develop sophisticated multi-agent systems that coordinate specialized AI components for in-depth analysis.Create intelligent retrieval and RAG systems that effectively ground agent actions in pertinent patient data.Establish agent orchestration frameworks capable of managing diverse clinical workflows.Implement advanced document understanding pipelines for structured extraction from clinical documents.Enhance agent performance, reliability, and cost efficiency.

Join our innovative team at Cellular Intelligence as a Research Associate/Associate Scientist specializing in iPSC Biology. In this role, you will contribute to pioneering research in induced pluripotent stem cells (iPSCs), collaborating with a dedicated group of scientists focused on advancing cellular therapies and regenerative medicine. You will engage in experimental design, data analysis, and the development of cutting-edge methodologies.

At IonQ, we are pioneering the development of the world's most advanced full-stack quantum computer utilizing trapped-ion technology. Our mission is to transcend the limitations of classical physics and current supercomputing capabilities, ushering in a transformative era of computing. The potential of quantum computing to enhance every aspect of human life is immense, and IonQ's innovations are set to revolutionize fields including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond. Join us at the forefront of this technological evolution.We are seeking a Senior Research Scientist specializing in quantum memory development. In this pivotal role, you will spearhead a cross-functional team dedicated to advancing IonQ's mission to construct the preeminent quantum computers capable of tackling the world's most intricate challenges.Your work will involve groundbreaking research in quantum memories tailored for extensive quantum networks and modular quantum computing architectures. Collaborating with a prestigious team of scientists and engineers, you will develop systems designed for rapid processing and storage of quantum information derived from photons, ultimately leading to the creation of scalable quantum computing solutions. Your contributions will range from innovative system design to operationalizing and expanding quantum memory systems that will serve as the foundation for the largest quantum computers globally.

Harvard University invites applications for the position of Research Assistant III in our laboratory. This role is critical in supporting advanced research initiatives and offers a unique opportunity to work alongside leading scientists in a dynamic and collaborative environment. The successful candidate will engage in a variety of laboratory tasks, including but not limited to data collection, analysis, and contributing to the preparation of reports and publications.

About Axiomatic AI Axiomatic AI builds AI systems that bring the rigor of the scientific method to reasoning. By combining deep learning, formal logic, and physics-based modeling, the team develops interpretable and verifiable AI tools designed to support human researchers in scientific and engineering tasks. The company's 30×30 mission targets a 30-fold increase in the speed, affordability, and accessibility of semiconductor and photonic hardware development by 2030. This vision drives efforts to reshape hardware design and simulation, moving research breakthroughs toward real-world products. Research Internship Overview This Research Internship centers on the intersection of AI, formal methods, and scientific reasoning. The role suits PhD candidates interested in advancing AI for science and engineering, especially those who want to build tools that verify scientific results. Interns will focus on research into automated verification of scientific reasoning. Projects may include developing AI agents for complex mathematical formalization, designing knowledge retrieval systems, and exploring both formal and informal verification workflows. What You Will Do Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants. Explore Lean metaprogramming or related formal methods tools for scientific applications. Create verification pipelines for complex equation derivations, connecting AI and physics. Work with researchers to define a focused project that advances internal capabilities and research understanding. Conduct scientific research suitable for publication at leading conferences (ICLR, ICML, NeurIPS) or contribute to major open source initiatives. Locations Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain

The Harvard Business School AI Institute is seeking an innovative and results-driven Research Manager to oversee and lead cutting-edge research initiatives in artificial intelligence. This role is pivotal in advancing our understanding and application of AI in business contexts. You will collaborate with a team of researchers, faculty, and industry experts to drive impactful projects that shape the future of AI in business.

About the RoleWe are seeking a talented Data Scientist to take charge of ensuring the quality, reliability, and trustworthiness of our clinical AI outputs. In this pivotal role, you will develop systems that help our AI recognize its limitations, including the creation of evaluation frameworks, calibrated confidence scoring, and automated quality assurance protocols that healthcare professionals can rely on.Key ResponsibilitiesDesign and deploy automated evaluation pipelines to assess the quality, accuracy, and safety of AI outputs at scale.Develop systems for uncertainty quantification where confidence scores are meaningfully aligned with accuracy.Create comprehensive evaluation frameworks that integrate automated assessments with clinician-validated test cases.Implement continuous feedback mechanisms to enhance model outputs based on validation signals.Establish scalable quality gates to identify errors before they impact end users.Contribute to efforts focused on model alignment and fine-tuning.

Job Summary:As a Senior Data Scientist at the esteemed Digital Data Design Institute (D^3) of Harvard University, you will play a pivotal role within the D^3 Data Science Team. Your work will involve close collaboration with faculty and researchers from the Harvard Business School (HBS) on impactful social science research projects that intersect with business, management, digital transformation, data science, and artificial intelligence. Your efforts will focus on leveraging AI to explore its implications for business and society through rigorous experimental research, while also contributing to the development of machine learning (ML) and AI tools for the broader research community.In this role, you will serve as a knowledgeable guide and resource for researchers of varying expertise in data methodologies and cutting-edge technologies. Effective communication regarding these technologies is essential, as is the agility to learn new skills rapidly and manage multiple concurrent projects of differing scopes and complexities.Job-Specific Responsibilities:Extract, clean, explore, and analyze data from diverse sources, including organizational, public, and experimental datasets.Engage in project intake and assignment processes within the D^3 Data Science Team.Design and conduct data science and AI experiments alongside partner organizations.Develop and apply a variety of models and analyses to derive insights and guide strategic decisions.Maintain comprehensive documentation of data files, modeling methodologies, rationale, results, and annotated code.Communicate and present data science methods and findings to faculty, managers, and non-technical stakeholders effectively.Mentor and train fellow data scientists, research scientists, post-doctoral fellows, research assistants, and PhD students.Resolve complex issues collaboratively with other data scientists to devise effective solutions.Document and share research findings with the community.Foster trust and collaboration by actively engaging with colleagues and stakeholders on-site.Perform other related duties as assigned.

About Cellular IntelligenceCellular Intelligence, previously known as Somite AI, is an innovative venture-backed firm striving to redefine the realm of stem cell biology. We are on a mission to develop AI foundation models that will revolutionize human stem cell applications and promote scalable novel cell therapies.Our comprehensive approach involves generating data at unprecedentedly low costs, training large-scale models with unparalleled predictive capabilities, and employing these models to discover, refine, and optimize impactful applications in cell therapy.Our exceptional founding team includes seasoned AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT, who has pioneered foundational research on scaling laws, alongside three esteemed Harvard Medical School professors and members of the National Academy of Sciences/Medicine, including the Chair of the Genetics Department at HMS. Based in Boston and set to commence operations in January 2024, Cellular Intelligence has successfully raised nearly $60M to date.Core Values of Cellular Intelligence:Accountability: We show up fully, taking responsibility and committing to our goals.Urgency: We act swiftly and decisively, maintaining a proactive approach.Collaboration: We support one another with empathy and teamwork.Location: Boston, MA (onsite, full-time)About the Role:In the capacity of Senior Computational Biologist, you will be instrumental in developing pipelines, models, and conducting research on extensive single-cell datasets. This role is tailored for individuals passionate about large-scale transcriptomic data that will contribute to pioneering cell replacement technologies. You will operate at the intersection of developmental biological research, data science, and software development, aiding in single-cell and spatial transcriptomics analysis while translating scientific breakthroughs into advanced cell replacement therapies.

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.