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The ideal candidate will possess a strong background in computational biology, bioinformatics, or a related field. A Master's degree or PhD is preferred. You should have experience with programming languages such as Python or R, as well as familiarity with data analysis tools and techniques. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment are essential.
About the job
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.
About Integrated Resources, Inc.
Integrated Resources, Inc. is a leader in providing innovative solutions in the life sciences industry. With a commitment to excellence and a culture that fosters creativity and collaboration, we are dedicated to advancing scientific research and improving health outcomes.
Full-time|Remote|Remote — Cambridge, England, United Kingdom
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.
Full-time|On-site|Cambridge, England, United Kingdom
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
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.
Full-time|On-site|Cambridge, England, United Kingdom
Join Luminance, a leader in Legal-Grade™ AI for enterprises, and be part of a groundbreaking team that's revolutionizing the legal profession worldwide. With backing from prestigious venture capitalists and accolades like being featured in Forbes AI 50 as one of the 'Most Promising Private AI Companies' and Inc. 5000's 'Fastest Growing Companies in America', we're on the cutting edge of technology.We are on the lookout for an innovative and skilled Infrastructure Engineer to join our Infrastructure Team in a role focused on DevOps and platform engineering. The successful candidate will possess a robust background in cloud-native infrastructure development, emphasizing automation, scalability, and security, as well as a comprehensive grasp of Infrastructure-as-Code (IaC). Your role will be pivotal in designing and evolving Luminance’s AWS platform, modernizing deployment patterns, automating environment creation, and ensuring our systems are reliable, repeatable, and resilient.Key ResponsibilitiesDesign, build, and maintain scalable cloud infrastructure utilizing AWS services including EC2, EKS, RDS/Aurora, ElastiCache, OpenSearch, and CloudFront.Lead the development and adoption of Kubernetes on EKS for managing both production and internal workloads.Architect and implement Infrastructure-as-Code (IaC) pipelines, integrating Terraform or similar tools into CI/CD workflows for environment provisioning, validation, and automated testing.Implement zero-downtime deployment strategies (blue/green, rolling, canary) and automate rollback and recovery processes.Promote continuous improvement in infrastructure, focusing on eliminating single points of failure and enhancing autoscaling, high availability, and managed service adoption across the platform.Collaborate with SRE, Security, and Engineering teams to enhance observability, monitoring, and alerting using tools such as Prometheus, Grafana, and CloudWatch.Work closely with the Security team to incorporate best practices for IAM, secrets management, WAF, and overall posture management.Optimize performance and cloud expenditure through automation and cost visibility dashboards.Participate in on-call rotations, conduct post-incident reviews, and contribute to ongoing operational reliability improvements.
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.
Role OverviewJoin Healx as a passionate Platform Engineer, where your expertise will be pivotal in constructing cloud infrastructure and crafting production pipelines that advance our AI-driven drug discovery initiatives. You will play a crucial role in merging infrastructure with scientific software, engaging in design, development, and support of cloud systems, while also collaborating closely with bioinformaticians, machine learning engineers, and data scientists to implement effective data pipelines.As part of a compact, dynamic engineering team, you will take ownership of your tasks, drive innovation swiftly, and engage in collaborative pair programming. Your work will have a significant impact on the future of AI drug discovery, helping to find treatments for patients suffering from rare diseases. We encourage you to attach a cover letter detailing why you believe you would excel in this position. Our Approach to AI DevelopmentOur engineers leverage AI coding tools to address challenges and efficiently implement systems, while maintaining accountability for system design, implementation, and code testing. We prioritize rapid development alongside a deep understanding of the systems we create and manage. About HealxHealx is a pioneering tech bio company harnessing AI to transform drug discovery. With over 10,000 rare diseases impacting 400 million individuals globally, 90% of which lack approved treatments, Healx is committed to revolutionizing drug discovery to support patients in need. By integrating data, artificial intelligence, and profound pharmacology knowledge, we aim to develop treatments more swiftly and cost-effectively than traditional methods. We firmly believe that diversity and inclusion are fundamental to our mission of assisting individuals with rare diseases. At Healx, we encourage applications from candidates of all backgrounds and experiences.
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.
Collaboration Fuels Innovation. Roku is transforming the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to power every television globally. We pioneered streaming technology, and our mission is to be the ultimate platform connecting the entire TV ecosystem. We link consumers to their favorite content, enable publishers to grow and monetize vast audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be significant and appreciated. Join our dynamic public company where every team member plays an active role. You’ll have the chance to inspire millions of TV viewers while gaining invaluable experience across diverse areas. About the Role We are developing a next-generation observability and cloud platform that is high-performance, cost-effective, secure, and scalable across multi-region, multi-cloud infrastructures. You will take the lead in architecting and evolving Roku’s observability and cloud infrastructure stack, which encompasses metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and system reliability that support thousands of services and millions of devices. You will be instrumental in driving a vision where developers achieve profound visibility with minimal overhead, onboarding is effortless, and insights are accessible in real-time. Your contributions will directly empower Roku...
Full-time|$148K/yr - $203.5K/yr|On-site|Cambridge, MA USA
About Flagship Pioneering Flagship Pioneering is a biotechnology company based in Cambridge, MA. The team invents and builds platform companies focused on advancing human health and sustainability. Flagship brings together scientific leaders, entrepreneurs, and experienced capital managers to address challenges ranging from cancer care to sustainable agriculture. The company’s portfolio includes organizations that have vaccinated billions, developed new treatments, and promoted eco-friendly practices. Flagship has been recognized on FORTUNE’s “Change the World” list and featured in Fast Company’s annual “World’s Most Innovative Companies.” Role Overview: Lead Cloud Security and Application Security Engineer This role shapes Flagship’s cloud security and application security engineering practice. Supported by the CISO and Director of Security Engineering, the position focuses on defining and executing cloud posture management, secure software development lifecycle (SSDLC) security, and cloud-side data loss prevention. The engineer will work closely with the Infrastructure & Operations team on cloud architecture and network infrastructure. One of the main responsibilities is to build workflows that use AI and large language models (LLMs) to automate routine security tasks, freeing up time for complex challenges that require human judgment. The position leads technical execution for cloud security and application security across Flagship and its portfolio, partnering with engineering teams to embed security into development pipelines from the start. Key Responsibilities Establish and lead Flagship’s cloud security and application security engineering practice Define cloud posture management, SSDLC security, and cloud-side DLP strategies Collaborate with Infrastructure & Operations on cloud architecture and network infrastructure Develop and implement AI-enhanced workflows using LLMs and intelligent tools Automate recurring tasks to focus on high-impact security work Work directly with engineering teams to integrate security into development pipelines Drive technical execution of cloud security and AppSec across Flagship and its portfolio companies Work Location Cambridge, MA, USA
Full-time|On-site|Cambridge, Massachusetts, United States
Join our innovative team at Zifo Technology as a Lab Computing Technician. In this role, you will be responsible for ensuring the efficiency and functionality of our laboratory computing systems. You will collaborate with scientists and engineers to support research initiatives, troubleshoot technical issues, and maintain laboratory equipment.
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.
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.
Full-time|$146K/yr - $209K/yr|On-site|Cambridge, MA USA
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.
Full-time|On-site|Cambridge, England, United Kingdom
No Experience Required!Are you eager to kickstart your career in a dynamic office environment?Do you find the world of Human Resources intriguing?If so, this could be your ideal opportunity!With a significant demand for HR professionals due to a skills gap in the industry, we are looking for motivated individuals who want to step into this rewarding field.Our comprehensive training programs equip you with the essential knowledge, skills, and certifications needed to thrive. Upon completion, we will connect you with our network of employers eager to fill critical HR roles.Join us for our complimentary CIPD Human Resources Webinar by clicking 'Apply for this job', and we will provide you with the joining link. After attending this informative session, you can decide if pursuing a career in HR aligns with your goals.
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.
Miratech seeks a Genesys Cloud Architect based in Cambridge. This position centers on designing and delivering Genesys Cloud solutions that support clients in strengthening their customer communications. Direct collaboration with clients is essential to ensure each solution aligns with unique business objectives. Main responsibilities Create Genesys Cloud architectures that address specific client needs Oversee deployment and implementation of Genesys Cloud solutions Coordinate with cross-functional teams to meet project deadlines Provide guidance to clients on using cloud technology to enhance customer experience Requirements Extensive knowledge of Genesys Cloud architecture Proven experience in deploying Genesys Cloud solutions Keen interest in advancing customer interactions through technology Strong collaboration skills with both technical and non-technical colleagues
Full-time|$90K/yr - $165K/yr|On-site|Cambridge, MA USA
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.
Full-time|On-site|Cambridge, Massachusetts, United States
Join Zifo Technologies as a GxP Lab Computing Analyst, where you'll leverage your expertise to enhance laboratory systems within a regulated environment. You will collaborate with cross-functional teams to ensure compliance with Good Laboratory Practices (GLP) and Good Manufacturing Practices (GMP). Your role will involve troubleshooting, validating, and optimizing lab computing solutions while supporting data integrity and regulatory requirements.
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.
Apr 16, 2026
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