Lab Operations Analyst

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.

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.

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.

About Us At Flagship Pioneering, we are at the forefront of biotechnology innovation. Our mission is to create and nurture transformative companies that are dedicated to solving the world’s most pressing challenges. By assembling leading scientific experts and entrepreneurial visionaries, we empower groundbreaking advancements in human health and sustainability, spanning areas from precision cancer therapies to sustainable agricultural solutions. What distinguishes Flagship is our unique methodology that integrates life science innovation, enterprise creation, and strategic investment within a single framework. Our dedicated scientific founders, entrepreneurial leaders, and investment professionals collaborate effectively, driving an institutionalized process that fosters innovation and delivers significant benefits to society and the environment. Many of our portfolio companies have made substantial contributions to global health and sustainability, including mass COVID-19 vaccination efforts, curing chronic diseases, enhancing overall health, and developing resilient agricultural practices. Flagship has received prestigious accolades, including placements on FORTUNE’s “Change the World” list and recognition as one of Fast Company’s Most Innovative Companies. Our Lab IT and Research Systems teams are committed to facilitating scientific breakthroughs throughout the Flagship ecosystem by providing robust, scalable, and secure technological solutions that support both laboratory and computational research. We work in close partnership with our research teams to optimize their tools, systems, and environments to enhance productivity, reproducibility, and innovation. Position Overview The Lab Systems Analyst I plays a key role in overseeing the management, reliability, and improvement of laboratory and research systems across Flagship’s internal and portfolio companies. This position emphasizes the maintenance of effective lab system environments, ensuring secure and compliant data handling, and supporting integrations that streamline the capture, storage, and analysis of scientific data. We seek a candidate who combines foundational IT support experience with a keen interest in scientific systems, cloud infrastructure, and data workflows. The Lab Systems Analyst will collaborate closely with Lab IT, Research Systems, and scientific teams to ensure laboratory environments are robust and aligned with research objectives. Key Responsibilities Lab Systems Management Assist in the administration and lifecycle management of lab systems, ensuring optimal performance and compliance.

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.

Join our team as a Research Lab Technician where you will play a crucial role in supporting innovative research projects within a dynamic laboratory environment. You will be responsible for conducting experiments, collecting data, and assisting in the development of cutting-edge technologies.

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 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.

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.

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.

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.

Join our dynamic team as a Molecular Biology and Tissue Culture Lab Associate in Cambridge, MA. This is an exciting opportunity for individuals passionate about advancing scientific research and laboratory techniques. You will be involved in various laboratory processes, focusing on molecular biology and tissue culture methodologies.

Your Contribution at Lila Sciences Lila Sciences is on the lookout for a dynamic Staff Software Engineer to join our innovative AI Lab Execution System team. In this pivotal role, you will have the opportunity to design, develop, and enhance intelligent, data-driven applications, with a strong emphasis on front-end development. Your focus will include the creation of user interfaces, services, high-performance APIs, and databases, ensuring seamless integration of advanced AI frameworks into our scientific analytics and laboratory workflows. Collaborating closely with ML researchers, platform engineers, and scientists, you will develop systems capable of managing diverse workloads and scaling efficiently. This includes working with structured SQL databases, data lake houses, and vector databases. If you are passionate about creating high-performance, elegant systems that make a real scientific impact, we invite you to apply! Your Responsibilities Include: UI and API Design & Development: Create high-performance, secure, and well-documented user interfaces and APIs that integrate seamlessly with AI-driven applications. Database Design & Management: Develop schemas and manage various data systems (SQL, NoSQL, Vector DBs) to ensure optimal performance and scalability. Application Development: Lead the development of both front-end and backend services, prioritizing performance, maintainability, and reliability. Performance 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 practices to build and deploy scalable production systems. Collaborative Development: Work alongside ML researchers and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

Join Our Visionary Team At Flagship Labs 109, Inc. (FL109), we are at the forefront of revolutionizing biology through cutting-edge artificial intelligence, advanced physics, and innovative hardware solutions. Our mission-driven environment fosters creativity and collaboration, empowering you to contribute to groundbreaking advancements in science. Your Role in Our Journey As a vital member of our interdisciplinary team, you will engage in the development and deployment of state-of-the-art AI solutions that enhance our understanding of molecular biology. Your expertise will facilitate the construction of scalable platforms and the effective management of vast datasets, all while collaborating with diverse teams to achieve extraordinary results. We're Excited to Find Talent in the Following Areas: Artificial Intelligence Software Engineering Automation Physics Hardware Engineering

Charles River Analytics, a proud member of the GRVTY family, is dedicated to developing innovative solutions and cutting-edge technology to address some of the world’s most pressing challenges. Our dynamic team of tech entrepreneurs collaborates to lead advancements in artificial intelligence, robotics, smart sensing, and human-centered computing. Our research and development initiatives not only enhance government programs but also unlock new opportunities within the commercial sector. As part of GRVTY, we are excited to expand our capabilities while maintaining our commitment to excellence in national security domains. Are you ready to join us in accelerating our mission-driven innovations? We would love to hear from you! We are currently seeking a motivated and experienced senior researcher who specializes in Human-Systems Integration, Human Factors, or Human-Computer Interaction. In this role, you will create groundbreaking tools and interfaces that enable users to effectively collaborate with technology in demanding work environments. As a leader, you will guide and expand teams of researchers, designers, and engineers to analyze work contexts and user requirements, develop innovative human-AI interaction concepts, and demonstrate and evaluate interactive prototypes. Your role will involve defining and directing technical projects, fostering strong partnerships with customers, sponsors, and collaborators. Additionally, you will share your expertise in Human Systems, working alongside cross-disciplinary teams to explore new research opportunities in exciting technical fields.

Amylyx Pharmaceuticals is dedicated to revolutionizing the treatment of diseases with significant unmet needs. We embrace challenges as opportunities, driven by a sense of urgency, rigorous scientific methodology, and a steadfast commitment to the communities we serve. Our focus is on clinical-stage development for conditions such as post-bariatric hypoglycemia (PBH), Wolfram syndrome, and amyotrophic lateral sclerosis (ALS).Our mission thrives on our talented team, which embodies core values of audacity, curiosity, authenticity, engagement, and accountability — all of which foster a culture of care. Amylyx has curated a skilled workforce ready to act swiftly because the communities we support cannot afford to wait. If you are passionate about addressing some of the most challenging issues in medicine, we invite you to explore the opportunity below and apply.The OpportunityThe Associate Director of Computer System Validation (CSV) & Quality Compliance will provide enterprise-level leadership, strategic direction, and governance for the validation, lifecycle management, and continuous compliance of GxP-relevant computerized systems, particularly focusing on the Veeva Quality Suite. This position is pivotal in ensuring that our digital quality solutions and supporting systems comply with global regulatory standards (FDA, EMA, ICH, GAMP 5), safeguard data integrity, and maintain a sustainable, inspection-ready status across the organization.This role entails close collaboration with Quality, IT, Regulatory, Clinical, and business process owners to define system requirements, oversee new system implementations and significant enhancements, and promote harmonized, risk-based validation practices. Additionally, this position supervises quality compliance processes such as Change Control, Deviations, CAPA, and continuous improvement, ensuring timely resolutions, trend analysis, and effective governance through leadership of key forums, including Quality Management Review and cross-functional compliance meetings.