Research Scientist in Thin Film Materials

About Periodic LabsPeriodic Labs is an innovative AI and physical sciences lab dedicated to constructing cutting-edge models that lead to groundbreaking scientific discoveries. We are well-capitalized and experiencing rapid growth. Our team members are empowered to identify and tackle challenges without the constraints of bureaucracy, embracing new tools and…

About Periodic LabsPeriodic Labs is an innovative research facility at the intersection of artificial intelligence and physical sciences, dedicated to developing cutting-edge models that drive remarkable scientific advancements. With substantial funding and rapid growth, our team operates with an ownership mindset, tackling challenges without the constraints of bureaucracy. We are passionate about learning new methodologies and scientific concepts to propel our mission forward.About the RoleWe invite you to join an exceptional team of scientists and engineers at the forefront of physical research and development within a pioneering laboratory. Here, artificial intelligence and automation facilitate discoveries at an unparalleled pace and scale.As a Research Associate specializing in Thin Films Materials Discovery, you will engage in advanced deposition and nanofabrication processes, generate high-quality experimental data, and closely collaborate with our AI and materials teams to transform precise laboratory work into scalable, data-driven innovations.This role is a 12-month fixed-term position, with the opportunity for conversion to a permanent role.

Type: Full-time, 12-month termAbout Periodic Labs Periodic Labs is at the forefront of innovation, merging artificial intelligence with physical sciences to develop cutting-edge models aimed at groundbreaking scientific discoveries. As a rapidly growing and well-funded lab, we empower our team members to take ownership of their work, encouraging a culture free from bureaucratic constraints. Our commitment to continuous learning drives us to adopt new tools and scientific methods to advance our mission.What to ExpectAs a Research Scientist at Periodic Labs, you will be a crucial part of a high-caliber team of scientists and engineers dedicated to revolutionizing materials research. Here, AI and automation facilitate unprecedented discoveries at remarkable speed and scale. You will transform AI predictions into tangible outcomes by applying principles of physics and measurement science. This role involves innovating new material characterization techniques and contributing to the development of autonomous discovery processes.ResponsibilitiesPhysical Property Measurements: Design and conduct high-precision thermodynamic, transport, and spectroscopic measurements of materials.High-throughput Screening: Create rapid property measurement methods to enhance the scalability of material characterization.Analysis: Collaborate with our AI team to implement automated data analysis and reasoning processes for screened materials.Automation: Work alongside our engineering team to develop robotic systems for autonomous property characterization.QualificationsPhD in Physics, Materials Science, or a closely related field, along with 5+ years of relevant experience.Proven expertise in physical property characterization, particularly in electronic and magnetic measurements.Solid background in cryogenic measurements and low-noise techniques including lock-in methods, shielding/grounding, and precision instrumentation.A strong record of impactful research demonstrated by publications in leading journals or patents, along with recognized leadership in the field.Proficiency in data analysis tools such as Python and Jupyter; familiarity with instrument SDKs is a plus.Exceptional scientific writing skills, ability to collaborate across disciplines, and a strong commitment to maintaining high-quality experimental standards.

About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to creating advanced models for groundbreaking scientific discoveries. Our organization is rapidly expanding and well-funded, providing team members with ownership and the freedom to identify and address challenges without the constraints of bureaucracy. We are passionate about learning new tools and scientific principles to advance our mission.What to ExpectAs a part of our elite team of scientists and engineers, you will be at the forefront of materials research in a cutting-edge lab where AI and automation accelerate discoveries at an unparalleled pace and scale.In the role of Research Scientist, you will bridge computational predictions with practical applications in solid-state materials chemistry. You will innovate novel materials synthesis techniques while contributing to the development of autonomous discovery processes.

Type: Full-time, 12-month term, with potential for extension.About Periodic Labs:Periodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With strong financial backing and rapid growth, our team operates with an ownership mindset, empowered to identify and address challenges without bureaucratic limitations. We are passionate about continuously learning new tools and scientific advancements to propel our mission forward.About the Role:Become a vital member of a distinguished team of scientists and engineers at the forefront of materials research within a pioneering lab where AI and automation drive unprecedented discoveries at scale. As a Research Associate or Postdoctoral Scientist, you will translate AI predictions into tangible results through the fields of materials science, physics, and chemistry. Collaborating closely with AI and automation teams, your work will expedite and enhance materials development, unlocking extraordinary capabilities for scientific breakthroughs.Responsibilities:In our lab, Research Associates and Postdoctoral Scientists play crucial roles in various facets of the material discovery and development process, including:Material Synthesis: Engage in high-throughput synthesis and structural characterization of materials aligned with AI predictions.Materials Characterization: Conduct rapid characterization of the structure and physical properties of both bulk and thin film materials, while providing feedback and integrating with AI predictions.Analysis: Collaborate with the AI team to develop and implement automated analysis and reasoning pipelines for material evaluation and prediction.Automation: Work alongside the engineering team to establish robotics-enabled architectures for materials development.Qualifications:PhD in Physics, Materials Science, Solid State Chemistry, or a closely related field.Demonstrated expertise in experimental science and data analysis.In-depth knowledge in one or more of the following areas: synthesis, characterization, and automation techniques relevant to materials R&D.Proven track record of impactful research, evidenced by publications in top-tier journals and/or patents.Exceptional scientific writing skills, collaborative spirit across disciplines, and a strong sense of ownership in projects.

About Periodic LabsPeriodic Labs is an innovative AI and physical sciences research facility dedicated to building advanced models that facilitate groundbreaking scientific discoveries. With strong funding and rapid growth, our team operates with a sense of ownership, tackling challenges without the constraints of bureaucracy. We are passionate about acquiring new tools and scientific knowledge to propel our mission forward.What to ExpectBecome part of a premier team of scientists and engineers revolutionizing materials research in a pioneering lab where AI and automation drive discoveries at unmatched speed and scale.We seek a materials-focused Research Engineer who is enthusiastic about leveraging lab automation and AI to expedite the discovery of innovative materials. You will collaborate closely with our materials scientists to devise new automation strategies for scientific processes, and work alongside mechanical and robotics engineers to prototype and evaluate proof-of-concept systems, ultimately refining them into production-ready tools that yield reliable data daily.ResponsibilitiesDevelop an automation roadmap based on scientific objectives: pinpoint high-priority targets, assess benefits and risks, and prioritize upcoming projects.Design, conduct, and analyze proof-of-concept experiments.Draft clear user requirements and collaborate with engineers and vendors to translate them into feasible designs and construction plans.Co-create and assess prototype designs—rapidly iterate with mechanical, robotics, and controls engineers to establish dependable lab automation systems.Establish data and metadata requirements to ensure automated workflows yield trustworthy, reusable results.Assist with installation and commissioning; verify that the finished system adheres to the lab’s safety, usability, and reliability standards.QualificationsPhD in Materials Science (or a related discipline) or equivalent experience, with a proven background in hands-on experimental work.Exhibited engineering acumen—experience with custom instruments, automation-focused PhD research, or industry experience in automation post-PhD.Robust experimental design and data analysis skills (e.g., Python or similar), with a focus on quantifiable outcomes.Familiarity with relevant domains: thin films, solid-state synthesis, in-situ characterization, or automated property testing.Excellent communication skills, with a strong emphasis on teamwork and collaboration.

Join billiontoone as a Senior Scientist, where you will play a pivotal role in advancing our groundbreaking technologies in molecular diagnostics. In this position, you will leverage your expertise to drive innovative research initiatives and collaborate with a talented team to develop novel solutions that address some of the most pressing challenges in healthcare.

Join billiontoone as a Senior Scientist in Oncology, where you will play a pivotal role in advancing cancer research and innovative therapeutic solutions. Collaborate with a diverse team of experts in a cutting-edge environment that fosters creativity and scientific excellence.

Join Mainspring Energy as a Senior Materials and Process Engineer and play a pivotal role in transforming the future of power generation. You will be responsible for developing and optimizing materials and processes that drive the performance of our innovative Mainspring Linear Generator. This position involves collaborating with cross-functional teams to ensure our products meet and exceed industry standards, while also contributing to our mission of providing reliable, net-zero carbon energy solutions.

About Periodic LabsAt Periodic Labs, we are an innovative AI and physical sciences laboratory dedicated to constructing cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered owners who tackle challenges without the constraints of bureaucracy. We have a passion for learning new tools and scientific methodologies to advance our mission.About the RoleWe invite you to join our elite team of scientists and engineers who are redefining the landscape of materials research in a pioneering lab where artificial intelligence and automation accelerate discoveries at unparalleled speed and scale. We are developing an autonomous lab aimed at expediting the materials discovery process, and we are seeking a Controls Engineer who thrives on transforming intricate machinery into safe, reliable, and observable systems. You will be responsible for designing the controls architecture for both outsourced tools and in-house automation, collaborating with integrators to realize these concepts. Your role will be hands-on from the specification phase through installation and production handoff, working in partnership with scientists, facilities teams, and vendors to ensure the entire lab operates as a cohesive unit.ResponsibilitiesEstablish the controls architecture, including states, alarms, naming conventions, and data flows to ensure systems are comprehensible and maintainable.Define platforms and components (PLC/robot controller, operator interface, motion, I/O, networks) that meet safety and performance criteria.Develop and implement bring-up plans, including I/O checks, sequence dry runs, and comprehensive workflow trials; ensure issues are resolved effectively.Create and deploy real-time supervisory dashboards (Ignition or equivalent).Introduce observability techniques: trending, diagnostics, alarm rationalization, and establish appropriate thresholds and responses.QualificationsBachelor's degree in Electrical Engineering, Mechanical Engineering, Controls, or a related field.A minimum of 3 years of experience in industrial automation within laboratory, pilot, or manufacturing environments.Practical experience with PLCs, HMIs, motion control systems, and industrial network configurations.Familiarity with safety PLCs, functional safety validation, and lockout/tagout (LOTO) procedures.Proficient in scripting for testing and diagnostics (Python preferred) and practical electrical troubleshooting.Experience with SCADA platforms (e.g., Ignition), data historians, and OPC UA or comparable data standards.

About the Role Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY. What You Will Do Apply advanced data analysis and machine learning techniques to strengthen the trading platform. Work closely with colleagues across product, engineering, and operations to develop data-driven tools and features. Identify patterns and generate insights that support a better user experience and greater operational efficiency. Collaboration This position partners with cross-functional teams to design and implement solutions that address real needs within the Brokerage division.

Join the Future of Molecular Diagnostics!Become part of a dynamic team of innovators dedicated to revolutionizing healthcare. At BillionToOne, we have cultivated a groundbreaking, publicly traded company on Nasdaq where transparency breeds trust, collaboration sparks innovation, and every effort contributes to our mission of making transformative diagnostics accessible to everyone. We strive not just for small advancements but to create products that are an order of magnitude better than the existing solutions.Our dedicated scientists, engineers, sales professionals, and visionaries share a common goal: to elevate the standard of care in prenatal and cancer diagnostics. Here, cutting-edge science aligns with compassionate care, and every innovation you contribute will help alleviate the anxiety surrounding some of life’s most pivotal medical moments.If you are motivated by purpose, inspired by innovation, and eager to help shape the future of precision medicine on a grand scale, you belong with us!We are seeking an enthusiastic Clinical Laboratory Scientist (California Clinical Laboratory Scientist License required) to join our exceptional CLIA team. You will be instrumental in the end-to-end processing of cancer blood samples within a high-complexity, high-growth CLIA environment. This is an onsite position.Shift Hours: Tuesday to Saturday PM (1:30 PM - 10 PM)Weekday PM: 20%Weekend PM: 25%Responsibilities:Conduct clinical laboratory assays to generate data for disease diagnosis, treatment, and prevention.Perform quality control studies to ensure the precision of clinical data.Verify instrument performance through calibration and documentation of specific lab instruments.Participate in R&D for CLIA tech transfer, troubleshooting, training, and validations.

About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners, tackling challenges without the constraints of bureaucracy. We embrace continuous learning, adopting new tools and scientific methods to advance our mission.Role OverviewIn this role, you will train advanced frontier models to become highly knowledgeable scientific experts, forming the backbone of reinforcement learning initiatives. You will devise techniques for large-scale synthetic data generation, model distillation, and continual learning. Additionally, you will collaborate closely with reinforcement learning researchers, physicists, and chemists to craft evaluations that enhance scientific data curation. Working alongside supercompute engineers, you will scale compute-efficient large language model (LLM) training across thousands of GPUs. You will also develop high-performance tools to explore the interplay between data and intelligence.Ideal Candidates Will Possess Experience In:Training large language models (LLMs) utilizing curated datasets comprising trillions of tokens.Calculating scaling laws and identifying compute-optimal hyperparameters.Generating billions of tokens of high-quality synthetic datasets.Constructing evaluations that correlate with downstream task performance.

Join us in shaping the future of finance.Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be transferred to younger generations in the next two decades, marking the largest wealth transfer in history. If you’re eager to be at the forefront of this monumental cultural and financial transition, we invite you to apply.About the Team and RoleWe are assembling a top-tier team, leveraging cutting-edge technologies to tackle the most significant financial challenges globally. We seek innovative thinkers, exceptional problem-solvers, and motivated builders ready to make a difference. Robinhood is not for the complacent; it’s a place where ambitious individuals achieve their career best. Our high-performing, dynamic team prioritizes ethics in all aspects of our work, where high expectations yield equally high rewards.The Incentives Data Science team operates at the crossroads of Product, Marketing, Finance, and Machine Learning. Our goal is to facilitate sustainable, data-driven growth by developing modeling, measurement, and optimization systems that enhance activation, retention, and revenue. We collaborate closely with various teams at Robinhood to design, assess, and implement incentive programs that effectively acquire, activate, and retain customers.As a Senior Data Scientist, Machine Learning, you will spearhead the comprehensive design, optimization, and advancement of Robinhood’s incentive systems. You’ll create predictive and causal ML models, establish experimentation frameworks, and build decision-making and allocation algorithms that directly shape how millions of users interact with Robinhood. This is a unique chance to influence impactful ML systems while defining incentive strategies at a company-wide level!This role is based in our Menlo Park, CA office, with a requirement for in-person attendance of at least 3 days per week.At Robinhood, we value in-person engagement to foster innovation, accelerate progress, and strengthen community. Our office environment is designed to be purposeful, invigorating, and fully supportive of high-performing teams.What You Will DoDevelop, implement, and refine predictive and causal models for incentive targeting.Design and assess experiments to quantify the incremental impact, payback, and ROI of promotional initiatives.Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to provide insights for scalable solutions.

About Periodic LabsPeriodic Labs is at the forefront of innovation, merging artificial intelligence with physical sciences to develop cutting-edge models that lead to groundbreaking scientific discoveries. Our lab is well-funded and rapidly expanding, fostering a culture where team members are empowered to identify and address challenges without the constraints of bureaucracy. We are passionate about learning new tools and scientific advancements to propel our mission forward.About the RoleAs an Automation Engineer, you will be part of a prestigious team of scientists and engineers dedicated to redefining materials research. In our pioneering lab, where AI and automation facilitate discoveries at an unmatched pace, your role will involve creating an autonomous lab environment that accelerates materials discovery. Your expertise in making instruments, robots, and data systems work seamlessly together will be essential. You will convert scientific workflows into functional software and integrations, crafting clear data models, connecting instruments and automation to our lab information systems, and ensuring smooth, safe, and reliable operations.ResponsibilitiesCollaborate with bench scientists to convert experimental and lab workflows into precise integration specifications and data models.Design and construct automated workcells for materials research and development in collaboration with integrators.Develop and maintain services that connect lab instruments and robots to our information systems.Create instrument drivers to automate lab workflows by generating command sequences and utilizing vendor API/SDK methods.Work closely with AI and data scientists to ensure tight integration of the autonomous lab with AI models for experiment analysis and planning.QualificationsBachelor's degree in Electrical Engineering, Computer Science, Mechanical Engineering, Controls, or a related field.A minimum of 5 years of experience in lab automation, integration, or industrial automation software.Practical experience with robotic lab automation systems.Strong programming skills, particularly in Python.Experience with APIs, databases, and enterprise software integration.Hands-on experience with information management systems such as LIMS or MES.Bonus QualificationsFamiliarity with containers, CI/CD processes, and Git-based workflows.

About Periodic LabsAt Periodic Labs, we are at the intersection of artificial intelligence and physical sciences. Our mission is to develop cutting-edge models that facilitate groundbreaking scientific discoveries. As a well-funded and rapidly expanding organization, we foster a culture where every team member is empowered to tackle challenges without the constraints of bureaucracy. We are passionate about learning new tools and advancing scientific knowledge to propel our mission forward.About the RoleAs a Systems Engineer, you will be an integral part of our elite team of scientists and engineers, driving the advancement of materials research in an innovative lab environment where AI and automation enable discoveries at an astonishing pace and scale.In this role, you will transform the innovative ideas of our scientists into functional systems: defining requirements, collaborating with automation vendors on design and construction, and overseeing installation and commissioning on-site. From concept initiation to the point where a tool is operational daily, you will harmonize teams, prioritize tasks, and streamline complex interfaces into reliable operations. If you are driven by the desire to convert ideas into reliable instruments that accelerate scientific progress, this is an exceptional opportunity to enhance your skills and contribute to groundbreaking discoveries.

Help Us Shape the Future of FinanceAt Robinhood, our mission is to democratize finance for everyone. With a projected $124 trillion of assets expected to be passed down to younger generations over the next two decades, this is a pivotal moment in financial history. If you're eager to be at the forefront of this transformation, we invite you to explore this opportunity.About the Team and RoleWe are assembling a top-tier team dedicated to leveraging cutting-edge technologies to tackle significant financial challenges. We seek innovative thinkers, adept problem-solvers, and proactive builders who are driven to create meaningful change. Robinhood is not a place for the complacent; it is where ambitious individuals can achieve the pinnacle of their careers. Our culture is fast-paced, performance-oriented, and centered around ethical practices. High expectations come with substantial rewards.The Fraud Data Science team is committed to protecting Robinhood and its users by identifying and preventing fraudulent activities across our platform. Utilizing machine learning and advanced analytics, we combat malicious actions in real time, ensuring a safe and reliable experience for all users. Our efforts significantly influence customer security, the company's risk profile, and regulatory compliance.As a Senior Data Scientist on the Fraud team, you will be responsible for the design and implementation of machine learning solutions that proactively identify suspicious activities, minimize financial losses, and enhance the accuracy of fraud detection. You will collaborate closely with engineering, product, risk, and compliance teams to shape system architecture, inform policy decisions through data, and augment the safety and integrity of our platform.This position is based in our Menlo Park office, with a requirement for in-person attendance at least 3 days a week.At Robinhood, we recognize the value of in-person collaboration for accelerating progress, fostering innovation, and building community. Our office environment is intentionally designed to energize and support high-performing teams.What You'll DoDevelop and deploy fraud detection models to safeguard Robinhood users and assets in real time.Analyze behavioral data to reveal emerging fraud patterns and trends. ...

About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to constructing advanced models that facilitate groundbreaking scientific discoveries. With robust funding and rapid growth, we empower our team members to take ownership, identify challenges, and solve problems in an environment free from limitations and bureaucracy. Our passion for learning new tools and sciences drives our mission forward.About the RoleWe are excited to invite a seasoned Multiphysics Simulation Scientist / Engineer to join our elite team of scientists and engineers. In this pivotal role, you will be instrumental in advancing our physical R&D initiatives within a pioneering lab where AI and automation revolutionize the pace and scale of discoveries.As a Multiphysics Simulation Scientist, you will develop, execute, and integrate high-fidelity physical simulations of our experimental systems, effectively linking materials processes with thermal and mechanical environments as well as electrical and magnetic behaviors to our AI-driven R&D pipelines.Key ResponsibilitiesCreate and implement multiphysics models for various processes, including thermal, mechanical, electromagnetic, plasma, fluid flow, and chemical reaction phenomena.Connect simulations with orchestration systems and data infrastructure to enable real-time digital twins and AI feedback loops.Generate diverse simulated datasets for machine learning training and reinforcement learning environments.Collaborate with teams in computational science, AI, automation, processes, and facilities to enhance R&D workflows.QualificationsPhD or MS in Mechanical, Chemical, Materials, Aerospace Engineering, or closely related fields.5+ years of practical experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers) to address a broad range of real-world challenges across electronics, automotive, aerospace, or chemical manufacturing sectors.In-depth knowledge of coupled physical processes, such as heat transfer, stress analysis, diffusion phenomena, plasma/fluid dynamics, and electromagnetism.Proficiency in Python programming.Bonus QualificationsExperience in modeling thin-film deposition and associated chemical reactions.Familiarity with machine learning methodologies relevant to multiphysics modeling.Ability to collaborate effectively across disciplines with engineers, scientists, and machine learning specialists.

BillionToOne is a Nasdaq-listed company dedicated to expanding access to advanced molecular diagnostics. Teams here bring together scientists, engineers, and sales professionals, all working to raise the bar in prenatal and cancer diagnostics. The company emphasizes transparency, collaboration, and tangible progress in healthcare. Role overview This Research Associate position is based on-site in Menlo Park, CA. The role centers on supporting laboratory research and development efforts that aim to improve medical decision-making in key clinical areas. Work is guided by Senior Scientists and contributes directly to the advancement of precision medicine. What you will do Carry out laboratory experiments and assays as instructed by Senior Scientists Assist with ongoing research projects in the field of molecular diagnostics Work closely with a collaborative team dedicated to advancing precision medicine Requirements Interest in molecular diagnostics and innovation in healthcare Ability to work on-site in Menlo Park, CA Comfort collaborating within a multidisciplinary team

Be a Part of the Financial Revolution.At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion of assets expected to be transferred to younger generations in the coming years, we stand at the forefront of this transformative shift. If you are eager to play a pivotal role in this historic financial evolution, keep reading.About the Team and RoleWe are assembling a premier team that utilizes cutting-edge technologies to tackle the most significant challenges in finance. We seek innovative thinkers and adept problem-solvers—individuals who are driven to create impactful solutions. Robinhood is a platform for those who refuse to settle; we are a dynamic, high-performing team that values ethical practices in all our endeavors. Our expectations are high, but the rewards are equally substantial.The Brokerage team is the heart of Robinhood, characterized by a fast-paced and collaborative environment that fosters innovation across our range of brokerage products.As a Senior Data Scientist within the Data Science team, you will engage in a high-impact, cross-functional role, collaborating closely with colleagues across product management, engineering, user research, design, marketing, finance, and operations. Together, you will harness the potential of data to redefine our brokerage offerings and provide exceptional value to our customers.We are in search of a committed and driven data science leader to spearhead product growth through top-tier experimentation, data analysis, and informed strategy development. Your contributions will directly impact our product roadmap, unveil new opportunities, and enhance the trading experiences of millions.This position is based in our Menlo Park office, where in-person attendance is required at least three days a week. At Robinhood, we recognize the value of in-person collaboration to foster progress, ignite innovation, and build community. Our office environment is intentionally designed to energize and support high-performing teams.