Lab Computing Technician

At Charles River Analytics, a proud member of the GRVTY family, we are dedicated to creating innovative solutions and cutting-edge technologies that address the world's most complex challenges. Our dynamic team of entrepreneurial technologists collaborates to pioneer advancements in AI, robotics, smart sensing, and human-centered computing. Our research and development efforts not only elevate government programs but also unlock new opportunities in the commercial sector. As part of GRVTY, we enhance our capability to deliver trusted solutions across critical national security domains. If you are enthusiastic about driving mission-focused innovations, we invite you to join us!We are currently looking for a Senior Computer Vision and Autonomy Engineering Lead to spearhead technical leadership, architectural guidance, and team management for projects focused on robotic navigation, autonomous systems, and advanced sensor processing. This role includes significant technical responsibilities at a senior level, alongside the chance to lead a talented team of 5–10 engineers. The ideal candidate will possess profound expertise in computer vision and autonomy, exceptional communication skills, and a passion for developing and mentoring engineering talent.Your Impact:Lead the design, development, and integration of computer vision and autonomy algorithms and software systems.Mentor and manage a team of engineers specializing in computer vision, perception, and autonomy; assist with hiring, onboarding, performance assessments, and professional growth.Develop robust and maintainable software solutions for applications such as object detection and tracking, SLAM, visual odometry, sensor fusion, and image processing.Optimize and deploy machine learning models on embedded, edge, and real-time systems utilizing frameworks like PyTorch or TensorFlow.Oversee system architecture, conduct technical reviews, ensure code quality, and uphold engineering best practices.Collaborate with scientists, engineers, and operational experts to define technical requirements and translate research concepts into actionable solutions across ground, sea, air, and space domains.Engage with customers through technical briefings, requirement discussions, field testing, and integration activities.Contribute to proposal development, technical documentation, reports, and transition planning for applied research and product development initiatives.Support the enhancement and scalability of internal technical capabilities to address emerging program and commercialization demands.

The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is on the lookout for a Senior Software Engineer with deep expertise in software development, generative AI, and data science. This role is embedded within the Shorenstein Center, which focuses on critical areas of inquiry at the intersection of media, politics, and public policy. As part of our team, you will play a vital role in advancing teaching and research initiatives that strive to make a meaningful impact.Application RequirementsTo be considered, applications must include:A detailed resumeA cover letter that includes:A link to a code sample on GitHub that showcases your technical abilities, ideally a project you would enjoy discussing in an interviewA brief description of the linked projectVerification of your legal authorization to work in the United States without sponsorship for a minimum of two yearsJob-Specific Responsibilities:Your main duties will include:Independently managing complex applications/web development for large-scale projectsDesigning and implementing sophisticated software systems geared towards large-scale research projects, focusing on educational technology and generative AI tools.Utilizing recent advancements in machine learning and natural language processing to create, test, and deploy cutting-edge algorithmic tools that support empirical research.Leading and collaborating on projects that involve AI, machine learning, natural language processing, and extensive experimentation.Contributing to the design and implementation of randomized controlled trials and other empirical methodologies to assess the effectiveness of AI-driven interventions.Working closely with researchers to convert theoretical models into high-performance, production-ready systems.Co-authoring or contributing to academic papers and reports for peer-reviewed journals, conferences, and broader audiences.Keeping up with emerging technologies and research in AI, computational social science, and causal inference.Adhering to Harvard University’s IT technical standards and Code of Conduct.Projects you may be involved in include, but are not limited to:AI in Education: We are developing AI-powered technologies that exceed standard tools by providing customized support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment.

ttp1 seeks a Robotics Engineer and Machine Vision Specialist based in Cambridge. This position centers on designing and building sophisticated robotic systems, with a strong emphasis on integrating machine vision technologies. What you will do Develop and construct advanced robotic systems for new products Integrate machine vision solutions to enhance automation and performance Support technical improvements across various projects within the company Role focus This role contributes directly to product development efforts and ongoing technical enhancements at ttp1. Collaboration with other engineers and teams is a key part of the work. Location The position is based in Cambridge.

Join us as a Senior Scientist in Computational Biology at Flagship Pioneering, Inc. In this pivotal role, you will leverage your expertise to drive innovative research and development in computational biology, contributing to groundbreaking discoveries and advancements in the field.

Company Summary:At FL122, we are at the forefront of pioneering genomic technologies that redefine human health and assisted reproduction. Founded by the innovative Flagship Pioneering, we are dedicated to creating, funding, and nurturing first-in-category life sciences companies. Our portfolio includes over 100 groundbreaking companies developed over the past two decades, such as Moderna (MRNA), Generate Biomedicines, Tessera Therapeutics, and Quotient Therapeutics. We pride ourselves on being an equal opportunity employer.Position Summary:We are in search of our inaugural Computational Genomics Scientist to spearhead vital research that will underpin our scientific platform. As an early-stage team member, you will enjoy significant ownership of your work, shaping our analytical strategy from the ground up by integrating genomics, statistical genetics, and advanced modeling techniques. Your responsibilities will encompass the comprehensive delivery of computational research projects, including design, execution, interpretation, and communication of results to senior leadership. We seek a resourceful individual who thrives in a fast-paced, agile environment and possesses a proactive mindset. The ideal candidate will combine technical expertise with a growth-oriented approach, meticulous attention to detail, and a relentless drive for excellence. Collaboration is essential in our startup environment, where all team members work closely to push the boundaries of scientific discovery.

Role overview Bicycle Therapeutics seeks a Senior Scientist specializing in Computational Chemistry to join the team in Cambridge. The position focuses on using computational methods to design and optimize new therapeutic candidates, directly supporting the company’s goal of developing new medicines. What you will do Lead molecular modeling studies for ongoing drug discovery projects. Use advanced simulation techniques to analyze and predict molecular behavior. Collaborate with scientists from various disciplines to integrate computational insights into laboratory research. Share research findings through publications and presentations at scientific meetings and conferences. Requirements Extensive experience with computational chemistry methods and tools. Strong foundation in molecular modeling and simulation. Proven ability to work effectively within cross-functional teams. Drive to advance drug discovery using computational science.

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.

Join Riverlane as a Senior Verification Engineer in our Cambridge office. This full-time, permanent position offers a hybrid work environment.Salary: £60,000 to £88,000 (depending on experience) + Bonus + BenefitsThe salary range for this role accommodates various levels of experience. Offers will reflect your expertise, including relevant industry experience, transferable skills, and notable achievements.We also welcome part-time applications. Please indicate your preferred working schedule in your cover letter.

Join the Future of AI at GraphcoreAt Graphcore, we are pioneering the next generation of AI computing technology.Our team comprises seasoned professionals from semiconductor, software, and AI sectors, with extensive expertise in developing a comprehensive AI compute infrastructure—from silicon and software to large-scale data center solutions.As a proud member of the SoftBank Group, we benefit from substantial long-term investment, enabling us to contribute pivotal technology to the rapidly evolving SoftBank AI ecosystem.In response to the immense opportunities within the AI landscape, Graphcore is expanding its global teams, uniting brilliant minds to tackle the most challenging problems in an environment where each member can significantly influence our company, products, and the future of artificial intelligence.

NO EXPERIENCE NECESSARY, FULL TRAINING PROVIDEDEmbark on an exciting new career in Cloud Computing with us!The demand for IT Technicians, AWS Cloud Computing Professionals, and Cyber Security Experts is skyrocketing due to a significant skills gap in the industry. Our extensive network of employers is eager to hire newly trained tech professionals, particularly in the field of Cloud Computing.As part of our Career Academy Programs, we facilitate connections between our students and a diverse range of employers to fill critical tech positions in this thriving sector.Join our complimentary AWS Webinar this weekend by clicking 'Apply for this job', and we will promptly send you the joining link.*Please note: The webinar is informational only and does not guarantee job placement.

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

Senior Embedded Software Engineer (Firmware)Location: Cambridge, UK | Employment Type: Full-time | Job Type: Permanent | Work Arrangement: HybridSalary: £70,000 to £90,000 based on experience.The salary range is flexible, as we welcome candidates with varying levels of experience. Offers will be tailored to reflect individual experience, industry background, transferable skills, and notable achievements.Candidates are encouraged to specify their preferred working schedule in their cover letter.

Role Overview Isomorphic Labs is seeking a Director of Computational Drug Design to join its Cambridge, MA site. This leader will shape computational chemistry strategy for both internal research and collaborative projects. The position sits within the Drug Design and Medical Research division, working closely with AI and machine learning specialists to advance the company’s drug design engine and accelerate new medicine development. About Isomorphic Labs Founded in 2021, Isomorphic Labs (IsoLabs) builds on the AlphaFold system, applying advanced AI to solve complex problems in human health. The team combines drug discovery expertise with machine learning to create predictive and generative models that speed up scientific discovery. The company’s mission is to design novel molecules, predict drug performance, and develop new treatments for challenging diseases by modeling biological systems with AI. Isomorphic Labs has developed an AI-driven drug design engine capable across various therapeutic areas and drug types. The organization continues to refine model architectures and expand capabilities, aiming to realize the promise of digital biology and ultimately eradicate disease through artificial intelligence. About the Computational Drug Design Team The Cambridge-based Computational Drug Design team brings together computational chemists focused on driving strategy, supporting both internal and partner projects. Close collaboration with AI/ML colleagues is central to the group’s work, ensuring the continued evolution of the Isomorphic Labs Drug Design Engine. The team values a supportive environment, ongoing learning, and professional development for every member.

We are seeking a passionate and innovative Computational Biologist to join our dynamic team in Cambridge, MA. In this role, you will utilize advanced computational techniques to analyze biological data and contribute to groundbreaking research and development projects in the life sciences. You will collaborate closely with cross-functional teams to drive the integration of computational models with experimental data, ultimately advancing our understanding of complex biological systems.

Join our dynamic team at Integrated Resources Inc. as a Computational Biologist, where you will play a crucial role in advancing our research initiatives. You will leverage your expertise in computational biology to analyze complex biological data and contribute to innovative solutions in the life sciences sector.

Join Riverlane as a Senior Digital Design Engineer in Cambridge, UK. This full-time, permanent position offers a hybrid working model.Salary Range: £70,000 to £90,000 DOE + Bonus + BenefitsWe are flexible and will consider part-time applications. Please specify your preferred working hours in your cover letter.

We are seeking a dedicated Lead Building Engineer to manage the daily operations and maintenance of our building systems, ensuring optimal performance and safety. In this role, you will supervise engineering staff and contractors while maintaining high operational standards.Key Responsibilities:Oversee the operational efficiency of HVAC, plumbing, and electrical systems.Plan and coordinate preventive maintenance and emergency repairs.Manage service contractors to ensure adherence to building standards.Guide and mentor junior engineers and technicians, setting performance goals and evaluating their progress.Work collaboratively with tenants, contractors, and property managers to ensure smooth building operations and address tenant concerns.Coordinate with vendors to define scopes of work and monitor contract compliance and quality control.Conduct regular inspections of the building and proactively address any deficiencies.Implement and manage preventive maintenance schedules effectively.Document equipment readings and ensure systems operate within standards.Adhere to company safety protocols, ensuring compliance with OSHA, NEC, NFC, and NFPA regulations, and maintain safety training logs.Communicate professionally with team members, leadership, vendors, tenants, and clients to keep all parties informed.Perform additional duties as required.

Location: Cambridge, UK. Candidates should live within commuting distance or be willing to relocate for onsite meetings as needed. Role overview Jagex seeks a Senior Cloud Reliability Engineer to help keep RuneScape’s services reliable, scalable, and responsive for players worldwide. This position sits within the Cloud Tech division and collaborates with Game, Central Tech, and Cloud Platform teams. The main focus is to drive reliability, observability, automation, and cloud-native practices across a hybrid-cloud environment. This role combines hands-on production engineering with architectural decision-making. Projects include modernizing services, migrating workloads, and improving systems that directly affect the player experience. The team is committed to delivering reliable live services at scale. What you will do Collaborate with game and development teams to move services toward cloud-native architectures, increasing resilience, security, and cost-effectiveness in live environments. Support migration of workloads from managed VPS environments to Jagex’s cloud platform, with a focus on modernization and uptime. Develop and refine SLIs, SLOs, and error-budget frameworks to measure and communicate service reliability across teams. Design and improve observability and alerting for logs, metrics, and traces, enabling faster detection and resolution of issues. Automate operational tasks such as scaling, failover, and deployments. Build self-healing systems to reduce manual intervention and improve recovery. Drive reliability improvements in Linux-based production systems, reusable Infrastructure as Code modules, and team codebases. Contribute to raising engineering standards within Cloud Tech. Requirements Experience ensuring reliability for large-scale, internet-facing production services. Strong knowledge of AWS services, including VPC, EC2, ECS/EKS, ELB, ECR, Route53, KMS, IAM, and Systems Manager. Background in cloud-native design, workload modernization, and Infrastructure as Code (IaC). Hands-on experience with SLIs, SLOs, incident management, root cause analysis, and resilient system architecture. Practical experience with Debian-based Linux environments, managing VM fleets, and configuration management tools. Familiarity with observability platforms, CI/CD practices, containerization, and programming or scripting in Python or Java. Benefits Comprehensive private healthcare, including dental plan Discretionary annual performance bonuses At least 6% pension contributions Life insurance coverage Enhanced family leave policies

Position Overview Join our innovative team at Apriori Bio, where we harness the power of computational and data-centric methods to craft groundbreaking antigens and assess vaccine efficacy. Our cutting-edge AI/ML platform, Octavia™, allows us to navigate viral fitness landscapes, anticipate immune evasion patterns, and engineer vaccines that prime the immune system for future challenges. In this role, you will leverage computational techniques—including structural modeling, machine learning, and statistical inference—to enhance our vaccine design initiatives based on insights from Octavia™. Proficiency in protein engineering and immunological datasets is advantageous, alongside a keen interest or background in high-throughput functional genomics, virology, or vaccinology. The Scientist will collaborate closely with both computational and experimental teams to analyze outcomes, formulate hypotheses, and aid in antigen development. This position is perfect for scientists who are eager to engage in a unique learning environment characterized by innovation and interdisciplinary collaboration within a fast-paced startup.