Senior Backend Software Engineer at Lila Sciences | Cambridge, MA

Your Contribution at Lila Sciences Be a part of our mission to revolutionize science! We are on the lookout for a skilled Senior Backend Software Engineer to become a vital member of our software platform team. In this role, you will work alongside talented software engineers, laboratory scientists, and machine learning engineers to develop advanced tools for automated scientific analysis and beyond. Your focus will be on Python development, web services, and data engineering, creating impactful scientific applications. If you excel in a dynamic, collaborative environment and advocate for best practices in git, development workflows, and user-centered design, we invite you to apply! Your Projects Service Design & Development: Craft and build high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. System Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps methodologies to construct and deploy scalable production-grade systems. Collaborative Integration: Partner with ML researchers, engineers, and scientists to incorporate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Your Impact at Lila As a Senior Accountant at Lila Sciences, you will be instrumental in enhancing and scaling our financial operations during an exciting phase of growth and innovation. You will take ownership of essential accounting functions, assist in implementing top-tier processes, and guarantee timely and precise financial reporting throughout the organization. By collaborating closely with Finance, Operations, and various cross-functional teams, you will infuse rigor, insight, and systematic thinking to bolster strategic decisions and uphold financial excellence. This is a significant opportunity to establish and expand the accounting framework of a company that is transforming the future of science. Your Responsibilities Facilitate the month-end closing process by preparing journal entries, reconciliations, and reporting. Ensure the correct application of US GAAP, particularly concerning fixed assets and leases. Collaborate with lab operations, procurement, and other departments on workflows, tracking, and accounting related to fixed assets and leases. Assist with audits and compliance initiatives, including preparing schedules and coordinating with external auditors. Lead enhancements in accounting systems and processes (e.g., ERP optimization, reconciliation automation). Qualifications for Success Active CPA license. Bachelor's degree in Accounting, Finance, or a related discipline. A minimum of 4 years of accounting experience, with at least 2 years in public accounting or within a high-growth tech/life sciences environment. In-depth understanding of US GAAP. Familiarity with accounting systems (e.g., NetSuite or similar ERP solutions). Proficient in Excel with a keen attention to detail. Preferred Qualifications Experience with Fixed Asset Accounting and Lease Accounting (ASC 842). Knowledge of internal controls and SOX compliance. Exposure to FP&A or experience in cross-functional business partnerships. A passion for Lila's mission and a desire to advance science at the forefront of innovation.

Your Role at Lila Sciences Lila Sciences is an innovative startup dedicated to creating a strong, evidence-based storytelling approach that integrates AI, science, and technology. We are looking for a detail-oriented, newsroom-experienced Senior Writer / Editorial Lead to become a vital member of our MarCom team. This trusted team collaborates closely with scientists, engineers, and executive leadership. Your mission will be to drive our editorial initiatives forward swiftly and credibly, ensuring that our narratives are both accurate and accessible to a diverse audience, ranging from technical experts to the general public. This position is pivotal in translating complex scientific concepts into impactful, reliable stories. Your Contributions Collaborate with senior executives to define Lila's editorial objectives, priorities, and long-term vision. Build and oversee a diverse team of writers (both contract and full-time), assigning stories and managing the drafting process. Craft and refine high-profile articles that enhance visibility, while developing scalable processes to maintain quality as we grow. Work with scientists, engineers, and leadership to convert intricate research into credible narratives that resonate with customers, partners, governmental bodies, investors, and potential hires. Generate multi-layered content suitable for various formats, including social media posts, blogs, technical briefs, and presentations. What You'll Achieve Establish Lila's external writing standards, voice, and editorial integrity. Identify timely and relevant topics for publication, while discerning what should be omitted. Develop and manage an editorial calendar that aligns with business goals and scientific milestones. Team Leadership and Writer Development Lead a focused editorial team and a network of freelance writers. Provide clear guidelines, swift feedback, and mentorship throughout the writing process. Set standards for sourcing quality content, ensuring accurate fact-checking and prompt delivery. Hands-on Writing and Editing Create high-quality articles, explanatory pieces, technical overviews, case studies, and scripts that exemplify narrative clarity and accuracy. Executive Interviews and Ghostwriting Conduct interviews with senior executives (CEO, CSO, CTO, and other scientific leaders) to produce articles, opinion pieces, Q&As, and narrative updates on Lila's research, platform, and scientific achievements. Collaborate on ghostwriting and co-writing projects for leaders while maintaining their unique voice and technical precision.

Your Impact at Lila Sciences Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you! Key Contributions You Will Make Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Lila Sciences seeks a Life Science Program Lead based in Cambridge, MA. This position centers on guiding research programs from planning through delivery, with a focus on advancing key initiatives in the life sciences. The role involves close collaboration with teams spanning multiple scientific fields and plays a key part in supporting project success. Main responsibilities Manage project planning and oversee daily execution for life science programs Work alongside multidisciplinary teams to move research initiatives forward Track progress and help ensure programs meet their objectives What we look for Genuine interest in science and research Dedication to maintaining high standards and achieving program goals Background in working with or leading cross-functional teams

Your Contribution at Lila SciencesWe are on the lookout for an innovative and talented Multimedia Specialist to enhance our dynamic team. In this in-house position, you will be the primary resource for design (presentations, overviews, explainers), video production, photography, animation, and multimedia content development.This role is situated within a highly technical environment, and the ideal candidate should feel at ease collaborating with scientific and engineering teams, swiftly grasping new concepts, and translating intricate ideas into visually engaging and impactful narratives. A background in science, biology, AI, robotics, or software will be highly advantageous.In addition to content creation, you will play a crucial role in ensuring our expanding library of visual and multimedia resources are well-organized, archived, and readily reusable across various teams, including Sales Enablement, Commercial, Marketing & Communications, and scientific teams documenting research and lab procedures.Key ResponsibilitiesCore Multimedia ProductionCreate and produce captivating multimedia content, including videos, graphics, and animations, tailored for various platforms.Capture and edit high-quality photographs and videos for promotional materials, internal communications, and social media content.Oversee the entire production process from concept development to final delivery, including light coordination of timelines, reviews, and asset handoff.Stay abreast of industry trends and best practices in multimedia production.Scientific and Technical CommunicationCollaborate with scientific, engineering, and product stakeholders to interpret complex topics and convert them into accurate visual narratives.Create content for both external and internal audiences, such as:Sales enablement and commercial materials (short videos, demo clips, slide visuals, one-pager graphics)Scientific and technical explainers (animations, diagrams, process visuals)Lab/team documentation that captures discoveries and workflowsCollaboration and Visual StorytellingWork closely with Marketing & Communications team members to strategize and execute visual storytelling initiatives across multiple channels.

About Lila Sciences Lila Sciences stands at the forefront of innovation with the world's first scientific superintelligence platform and autonomous laboratory dedicated to life sciences, chemistry, and materials science. Our mission is to revolutionize scientific discovery, leveraging AI to enhance every facet of the scientific method. By introducing scientific superintelligence, we aim to address humanity's most pressing challenges while accelerating advancements in human health, climate, and sustainability. Discover more about our vision at www.lila.ai. If you resonate with our mission and possess some of the qualifications listed below, we invite you to apply and join our dynamic team. Your Role and Impact at Lila As a Robotics Scientist at Lila, you will spearhead the research and development of autonomous robotic systems that constitute the intelligent backbone of our scientific superintelligence platform. Your innovations in novel algorithms and intelligent robotic solutions will enable seamless interactions between robotic systems and human scientists, driving fully autonomous workflows for groundbreaking scientific discovery. You will integrate cutting-edge robotics, machine learning, and systems engineering into your work, fostering a new era of scientific exploration. Your Contributions Will Include Designing and developing autonomous robotic systems for transport and workcell operations, incorporating sophisticated path planning, navigation, and motion planning algorithms. Creating production-level mobile manipulation platforms utilizing ROS/ROS2 and modular robotic architectures. Enhancing robotic perception by integrating diverse sensing modalities, including 3D vision, LIDAR, and tactile sensors, to facilitate robust and adaptable task execution. Employing simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors across varied lab scenarios. Collaborating with AI, mechanical, and software engineering teams to transform theoretical robotics research into practical autonomous systems. What You Will Need to Succeed A Ph.D. in Robotics, Computer Science, Mechanical or Electrical Engineering, or a closely related field, or equivalent research experience. In-depth expertise in motion planning, path planning, and navigation for both manipulation and mobile robotics. Proficient in ROS/ROS2, C++, and Python, with practical experience in constructing robotic systems for real-world applications. Comprehensive understanding of perception systems and sensor integration, including cameras, LIDAR, and tactile sensors.

Join Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.

Your Role at Lila Sciences Join Lila Sciences as a Product Strategy Intern within our Chemistry team and play a pivotal role in the commercialization of AI-powered innovations across various chemistry sectors, including industrial, specialty chemicals, and life sciences. Collaborate closely with Product and Commercial leaders to shape market strategies, assess business opportunities, and assist in go-to-market initiatives. This opportunity is perfect for a technical MBA student who is passionate about translating advanced chemistry into impactful commercial solutions. Your Contributions Assist in the development of product and go-to-market strategies for chemistry platforms in industrial, specialty chemical, and life science applications (e.g., catalysts, coatings, functional additives, specialized formulations, biomolecules, therapeutics), while adapting to business needs across sectors. Conduct thorough market research and opportunity evaluations to guide product roadmap prioritization and commercial strategy decisions. Prepare strategic documents, including presentation decks, one-pagers, and frameworks (e.g., Target Product Profiles) that effectively communicate technical capabilities and customer value. Establish and maintain organized databases and information systems to aid in product pipeline management and strategic decision-making. Extract insights from customer discovery interviews and expert discussions to refine chemistry product strategies, positioning, and priorities. Qualifications for Success Currently enrolled in an MBA, Ph.D., or a comparable graduate program. Exceptional analytical skills with the ability to distill complex information. Proficient in crafting presentations with a keen eye for visual clarity. Adaptable and comfortable operating in dynamic, fast-paced environments. Quick learner with a strong grasp of scientific concepts in chemistry, capable of communicating them effectively to commercial stakeholders. Preferred Qualifications Background in chemistry, organic small molecules, or related physical/life sciences. Experience in market research, strategy consulting, or product management within technical fields. Familiarity with platforms such as Salesforce, Notion, or similar tools. Understanding of chemistry applications in industrial and life science sectors (e.g., specialty chemicals, formulations, catalysis, therapeutics). Previous experience in chemicals, pharmaceuticals, advanced materials, or deep tech environments.

Our Mission Speechify aims to make information accessible through audio. The platform lets users listen to articles, documents, and books on their own schedule, at work, while commuting, or during downtime. Like streaming changed audio entertainment, Speechify is changing how people consume written content. The company leads its category and continues to grow rapidly. Role Overview The Senior Software Engineer, Core Experiences, joins a team responsible for the foundational services and SDKs that power Speechify’s product across multiple platforms. This position suits engineers who enjoy working where product and infrastructure meet, and who bring a strategic approach to designing APIs and systems that improve the user experience. What You Will Do Work closely with Product Teams to define project scopes, streamline feedback loops, solve integration and user experience challenges across teams, and deliver solutions through Speechify’s cross-platform SDK. Improve existing features by optimizing performance, reducing load times, and refining parsing through new abstractions and algorithm updates. Build and deploy cloud functions, lightweight backend services, and tasks using Kotlin. Location This role is based in Cambridge, MA, USA.

Your Contribution at Lila Sciences Lila Sciences is seeking a passionate Software Engineer to spearhead the development of cutting-edge Lab Instrument Integration Software, a crucial element of our AI-powered laboratory ecosystem. We want innovative thinkers who thrive at the intersection of software, science, and hardware, delivering impactful solutions that propel scientific advancements. Key Responsibilities Lab Instrument Software Development: Design and implement reliable software that facilitates seamless communication between robotic systems and automation hardware (e.g., robotic arms, liquid handlers, sensors) and control software, guaranteeing effective hardware integration. System Integration: Integrate lab instruments into our next-gen AI-driven lab automation framework, managing intricate connections between cloud and edge infrastructures, along with device execution. Testing and Debugging: Conduct comprehensive testing, debugging, and troubleshooting of drivers to pinpoint, isolate, and resolve performance issues, bugs, and compatibility hurdles. Technical Documentation: Develop, revise, and maintain thorough documentation for driver interfaces, APIs, and integration procedures, ensuring clarity for internal teams and end-users. Collaboration and Support: Partner with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, to provide technical assistance and resolve integration challenges efficiently. AI-Driven Development: Leverage advanced coding models and development tools to enhance the speed and quality of software delivery. Qualifications for Success Proficiency in Python, C#/.NET, or other programming languages/frameworks is essential. Proven experience in debugging and problem-solving, particularly in hardware-software integration contexts. Strong analytical skills and a methodical approach to troubleshooting complex technical challenges. Excellent verbal and written communication skills to facilitate effective collaboration within multidisciplinary teams. Bonus Qualifications A keen interest or background in science. Experience in developing software for laboratory instruments.

Your Contribution at Lila Sciences Lila Sciences is on the lookout for a motivated Automation Engineer I to enhance our Integrated Automation Engineering Team. This role offers an exciting opportunity to engage in the creation and refinement of our state-of-the-art automated workcells. As an Automation Engineer I, you will be pivotal in diagnosing and addressing operational challenges while fueling the innovation that propels our objective of achieving scientific superintelligence. Your responsibilities will encompass pioneering automation solutions in life science laboratories and extending into material and physical sciences, thereby supporting a myriad of applications, including drug discovery, bioengineering, and advanced material characterization. This position promises to equip you with invaluable hands-on experience in an energetic and collaborative environment, aiding in the cultivation of a broad skill set that will be beneficial for your future endeavors in science and technology. Your Responsibilities Identify, categorize, and resolve issues associated with automated workcells. Efficiently troubleshoot software and electro-mechanical systems, swiftly learning new technologies and documenting processes for team knowledge sharing. Proactively pinpoint potential failure points and spearhead initiatives to mitigate them. Develop automated processes or tools to facilitate the attainment of Lila's objectives. Collaborate on significant projects to gain practical experience and create a tangible impact, including initiatives focused on proactive issue identification, preventive maintenance, and AI integration into troubleshooting operations.

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

About Farsyt Farsyt is building AI-driven solutions to reshape insurance services. The team focuses on automation, data, and artificial intelligence to improve how insurance is bought, sold, and managed. Role Overview This is a hands-on role as a Founding Engineer or Senior Software Engineer based in Cambridge, MA. Work directly with the founding team to take the core product from early development through launch. The environment is small, venture-backed, and moves quickly. Team members take on broad responsibilities and see their work make a visible impact. What You Will Do Design and build essential systems, including backend architecture, APIs, and data models. Create workflows powered by AI to automate manual insurance processes. Integrate with external tools and communication systems, often dealing with unreliable or fragmented sources. Develop automation systems using large language models (LLMs), with a focus on reliability and managing failures. Architect and maintain asynchronous, event-driven systems involving queues, workers, and long-running tasks. Deliver results quickly, moving from idea to production in days rather than months. Make key technical decisions that influence the company's direction. This role offers flexibility and the chance to help define both what gets built and how it is built.

Your Impact at Lila Sciences Lila Sciences is seeking a dynamic and visionary Director of Product, Life Sciences to lead our innovative product strategies. In this pivotal role, reporting directly to the Vice President of Life Science Product, you will be at the forefront of enhancing our therapeutic research and development capabilities, shaping the future of drug discovery, chemical synthesis, and scientific intelligence. What You'll Be Building Steer the strategic direction for developing breakthrough AI solutions in drug discovery, chemical synthesis, and molecular characterization. Convert strategic goals into comprehensive target product profiles (TPPs) and development campaigns that will empower our science and engineering teams to achieve groundbreaking innovations in life sciences. Lead customer and internal-user discovery initiatives, acting as the primary technical liaison between external customers and partners. Pinpoint and cultivate product opportunities driven by real-world discovery challenges, collaborating closely with stakeholders to ensure relevance and maximize downstream value. Transform insights into precise product requirements, acceptance criteria, and experimental plans that will guide our engineering and science teams. Oversee product execution from inception to launch, leading cross-functional teams across various disciplines including science, machine learning, automation, and software engineering. Manage resource allocations effectively (budget, compute, lab access, personnel) against a complex array of priorities. Establish clear success metrics and milestones, communicating progress to the organization, including executive leadership. What You'll Need to Succeed Advanced degree (MS, PhD, or equivalent experience) in medicinal chemistry, chemical biology, chemical engineering, biochemistry, or a related field, with a solid foundation in experimental science. 7+ years of experience in Product Management, particularly in developing new or experimental products in drug discovery, molecular profiling, machine learning, or scientific software development. In-depth understanding of drug development processes, molecular and cellular research tools, as well as wet and dry lab workflows. Experience with small molecule discovery workflows (e.g., lead optimization, ADMET profiling, synthesis planning) is highly preferred.

AI Resident – 2026 CohortThe AI Residency Program presents a unique, full-time research opportunity aimed at connecting cutting-edge academic research with practical industry applications, specifically in the realm of AI for materials science. As a resident, you will collaborate closely with leading scientists and engineers at Lila Sciences on impactful, open-science projects, allowing you to either delve into fundamental research or apply innovative solutions to real-world challenges.Duration: 6–12 months (with the possibility of extension)Start Dates: Initial cohort members will begin in January 2026, with rolling applications and additional intakes scheduled for Summer and Fall 2026.Cohort Size: A select group of talented residentsMentorship: Dedicated pairing with technical mentors and constructive feedback from diverse cross-functional teamsResources: Access to proprietary datasets, high-performance computing resources, and Lila’s comprehensive research infrastructureResearch areas of focus include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

Join our innovative team at ttp1 as a Senior Software Engineer. In this pivotal role, you will leverage your technical expertise to drive software development projects that push the boundaries of technology. Collaborate with interdisciplinary teams to design, implement, and optimize cutting-edge software solutions that meet our clients' needs.

Your Role at Lila Sciences We are in search of a Senior Software Engineer to become a pivotal member of our Applied AI team, contributing to the development of our next-generation AI-powered scientific platform. This position involves designing and refining backend systems, data pipelines, and AI integrations that facilitate intelligent, data-centric applications. You will operate at the crossroads of backend engineering and machine learning, ensuring that our platform scales effectively and supports state-of-the-art applied AI methodologies such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. This opportunity is perfect for individuals who excel at merging software engineering with applied AI, transforming research into production-level systems that foster genuine scientific breakthroughs. If you are driven by the challenge of building high-performing, sophisticated systems that maximize the utility and impact of AI, we would be eager to connect with you! Your Contributions Applied AI Integration: Design and implement backend services and data pipelines that underpin advanced AI applications, including LLMs, RAG, and agentic frameworks. API & Service Development: Create high-performance APIs and microservices that facilitate seamless interactions between AI models, scientific tools, and user-facing applications. Data Pipeline Architecture: Architect and oversee scalable pipelines adept at managing structured, unstructured, and vectorized data for AI/ML workloads. Database & Knowledge Systems: Develop and optimize SQL, NoSQL, and vector databases to ensure low-latency AI retrieval and inference tasks. Cloud & Infrastructure: Utilize AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to construct resilient, production-ready AI platforms. Performance & Reliability: Identify system bottlenecks, optimize for efficiency and speed, and guarantee the reliability and fault-tolerance of AI-driven processes. Collaboration: Work closely with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready solutions.

At HyperLight, we are pioneering the commercialization of thin-film lithium niobate (TFLN) integrated photonics, a transformative technology that facilitates high-performance and scalable optical components across various fields including AI and datacom infrastructure, hyperscale computing, and quantum computing. Established in 2018 and supported by prominent venture capital, we are dedicated to advancing the mass deployment of TFLN photonics technology.Our flagship TFLN Chiplet™ platform represents a groundbreaking modular integrated architecture designed for scalability and manufacturability, ensuring seamless integration into complex systems. This platform provides an exceptional blend of performance and industrial readiness, allowing system developers to rapidly deploy our technology across diverse applications. We collaborate closely with our customers and suppliers throughout all phases—from conceptualization and design to prototyping and mass production—to ensure a smooth transition to TFLN photonic technology.We believe that our platform is a cornerstone in the golden age of integrated photonics, empowering humanity to reach new heights. Our world-class team comprises experts in engineering, business, and operations, all united by core values of integrity, innovation, collaboration, and practical solutions. Driven by a shared commitment to excellence, we embrace challenges with curiosity, humility, and a profound care for one another.Join us in making a significant impact in a dynamic, collaborative, and rapidly growing environment.

Lila Sciences seeks an Associate Engineer to join the Research Operations team in Cambridge, MA. This team develops high-throughput methods that support scientific discovery across multiple disciplines. The position centers on hands-on work with materials characterization, using advanced tools such as spectroscopy and microscopy. This role provides direct exposure to automation technologies while supporting projects that influence the company’s direction. It suits candidates interested in expanding their engineering skills and building a strong base in scientific operations. Key responsibilities Perform materials characterization using SEMXRF, XRD, Optical Microscopy, Nanoindentation, and Profilometry. Prepare reagents, solutions, electrolytes, samples, and consumables to support experiments across shifts. Follow standard operating procedures to maintain accuracy and consistency. Monitor workflow, troubleshoot routine issues, and escalate concerns to keep operations steady between shifts. Record and organize experimental data with care. Identify and suggest ways to improve efficiency and streamline shift operations. Report unusual results or observations to scientists for review. Collaborate with scientists and engineers on projects spanning life sciences and physical sciences. Location This position is based in Cambridge, MA, USA.