Senior Data Scientist at Roku | Cambridge, United Kingdom

Company Overview: Korro Bio is a pioneering biopharmaceutical company dedicated to the development of innovative genetic medicines targeting both rare and common diseases through its proprietary RNA editing technology. Our mission is to revolutionize the field of genetic medicine by utilizing RNA editing to create precise and temporary modifications at the RNA level rather than DNA, thereby enhancing specificity and long-term tolerability. With a portfolio of unique programs, we aim to leverage our expertise in oligonucleotide-based approaches to deliver therapies that improve patient outcomes. Based in Cambridge, Massachusetts, we are committed to combining cutting-edge science with a collaborative spirit to achieve transformative results in human health.At Korro, we thrive on collaboration, driven by our vision to create impactful genetic solutions for widespread health challenges. Our core values—Rewrite the Future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity—are woven into every aspect of our work culture, guiding our hiring practices and daily interactions. Join our team to help redefine the possibilities in genetic medicine and contribute to lasting health advancements.Position Overview: We are searching for a Senior Scientist to enhance our growing CMC team at Korro Bio. This role will involve overseeing the management of CMO analytical labs as well as the development of analytical methods, impurity characterization, degradation pathway analysis, and the transfer, qualification, and validation of methods for RNA-based therapies. You will play a crucial role in maintaining the quality and stability of drug substances and products throughout their development lifecycle. Collaborating closely with cross-functional teams and external partners, you will ensure that analytical data meets regulatory filing requirements and supports clinical trial progress.

Your Impact at LilaThe Senior Scientist in Analytical Chemistry will spearhead the development and application of cutting-edge analytical and characterization techniques to bolster Discovery Chemistry initiatives across Lila’s innovative platform. This role is pivotal in facilitating the swift design, synthesis, screening, and optimization of small molecules and related molecular entities. You will be instrumental in producing high-quality, informative experimental data that guides chemistry decisions and enhances platform learning.By collaborating closely with teams in Discovery Chemistry, automation, AI/computational fields, and screening, you will establish and scale multimodal characterization workflows that surpass conventional analytical chemistry methodologies. Your expertise will help create an integrated analytical framework that includes compound characterization, reaction monitoring, molecular profiling, and rapid data generation to support fast-paced design–make–test–analyze cycles.Your contributions will be vital in molding Lila’s next-generation discovery engine, merging profound analytical chemistry knowledge with high-throughput experimentation and AI-driven workflows.

Join Artech Information Systems LLC as an Analytical Scientist, where you will play a pivotal role in advancing our scientific initiatives. This position is ideal for individuals with a passion for data analysis and a drive to contribute to cutting-edge projects.

Join our innovative team as a Senior Scientist where you'll drive critical research projects and make a significant impact in the field. We are seeking a highly motivated individual with a passion for scientific discovery and a strong background in relevant disciplines.

Join our innovative team as an Advanced Process Analytics Scientist at Integrated Resources Inc. in Cambridge. This pivotal role involves utilizing advanced analytics and data science methodologies to drive process improvements and optimize performance across various operational domains. You will collaborate with cross-functional teams to extract insights from complex datasets, delivering actionable recommendations that enhance efficiency and innovation.

Join Lila Sciences as a Senior Research Associate or Associate Scientist in the Protein Science department, focusing on our cutting-edge Antibody Platform. You will play a crucial role in advancing our research initiatives, contributing to the development of innovative antibody-based therapeutics. This position offers the opportunity to collaborate with a talented team dedicated to scientific excellence and the pursuit of transformative solutions in healthcare.

Your Contribution at Lila At Lila, we are assembling a highly skilled and proactive AI safety team that will collaborate with all core departments, including science, model training, and lab integration, to effectively address risks associated with scientific superintelligence. The primary mission of this team is to develop and execute a tailored safety strategy that aligns with Lila's unique objectives and deployment methodologies. This will encompass formulating technical safety strategies, engaging with the broader ecosystem, and producing technical documentation such as risk and capability assessments and safety measures. Your Responsibilities Establish the research and development strategy for Lila’s safety framework concerning biological and physical risks. Design and implement capability evaluations to identify scientific risks (both recognized and novel) arising from state-of-the-art scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, including monitoring advancements in technologies and their applications. Create and curate high-quality training and testing datasets for evaluations and safety systems. Assess risks linked to Lila’s capabilities, considering interactions with the broader ecosystem of capabilities (including general-purpose frontier models and specialized scientific tools). Contribute to extensive, high-quality research initiatives when needed for scientific capability evaluation and restriction. Engage in external communications regarding Lila’s safety initiatives. Qualifications for Success A PhD in a biological sciences field (e.g., molecular biology, virology, computational biology) or a physical sciences field (e.g., materials science, physics, chemistry, chemical or nuclear engineering) or equivalent experience. Proven track record in setting research directions for open issues surrounding dual-use risks in biological and physical sciences. Experience in scientific computing within the biological or physical sciences. Understanding of dual-use research and dissemination issues in relation to relevant safety, regulatory, and governance frameworks (e.g., export controls, biological and chemical-related conventions). Excellent communication skills, capable of articulating complex technical concepts to non-specialist audiences. Demonstrated leadership capabilities in guiding teams of internal and external collaborators in developing Lila's perspective on biological and physical risks.

Your Impact at Lila Join our dynamic and innovative AI safety team at Lila Sciences, where we prioritize talent and agency to mitigate risks associated with scientific superintelligence. Our mission is to craft and execute a tailored safety strategy that aligns with our unique objectives and deployment methods. This role involves creating technical safety strategies, engaging with the broader scientific community, and producing critical technical documentation, including evaluations focused on risk and capability assessments. What You’ll Be Creating Design and implement capability evaluations to assess scientific risks, particularly from cutting-edge scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, keeping abreast of emerging technologies and use cases. Develop and manage high-quality training and testing datasets for evaluations and safety systems. Analyze risks associated with Lila’s capabilities and their interactions with the broader ecosystem of general-purpose frontier models and specialized scientific tools. Contribute to high-quality research initiatives focused on scientific capability evaluation and restriction as needed. Assist with external communications regarding Lila’s safety initiatives. What You’ll Need to Succeed A PhD in biological sciences (e.g., molecular biology, virology, computational biology) or physical sciences (e.g., materials science, physics, chemistry, or chemical engineering), or similar experience. Proficient in scientific computing related to biological or physical sciences. Familiarity with dual-use research and dissemination issues within relevant safety, regulatory, and governance frameworks (e.g., export control, biological and chemical conventions). Exceptional communication skills to convey complex technical concepts to non-expert audiences effectively. Proven ability to lead internal and external teams in developing Lila's perspective on biological and physical risks. Demonstrated capacity to collaborate with cross-functional stakeholders (science, AI, product, policy) in a complex environment.

Your Impact at Lila Join our innovative Physical Sciences team as a Research Scientist, where you'll spearhead the development of cutting-edge generative modeling techniques to address significant challenges in materials science. Collaborate with a diverse team of machine learning experts, software engineers, and materials scientists to create and implement generative models tailored to Lila’s distinctive materials design needs. This role not only advances the forefront of scientific research but also allows you to witness the tangible impact of your work on materials being refined in our experimental facilities on a daily basis. What You’ll Be Building Generative Models: Create and deploy generative models, including Diffusion and flow-based models, alongside advanced sampling methods to solve diverse materials design challenges. Data Representation: Innovate architectures and approaches that incorporate physics-informed constraints and domain knowledge to model materials across a wide chemical space for real-world applications. Real-World Validation & Deployment: Develop and verify datasets, frameworks, and methodologies for validating generative models with experimentally realized materials. Collaborate with software engineers and product managers to implement these solutions. Cross-Functional Partnership: Engage with R&D leadership, product managers, and automation specialists to translate scientific inquiries into data requirements and modeling strategies. What You’ll Need to Succeed Proficient in Python and deep learning frameworks with experience in end-to-end workflow deployment. Familiarity with contemporary generative modeling techniques, including diffusion models and geometric deep learning, and their applications in scientific disciplines such as materials science, chemistry, and biology. A foundational understanding of materials science, physics, and chemistry, and the ability to incorporate these principles into generative model design. A self-motivated and independent thinker with keen attention to detail. Demonstrated experience in industry or notable academic achievements. Strong communication and presentation skills, with the ability to convey complex technical information effectively. Aspirations to collaborate with highly skilled teams in a dynamic, entrepreneurial, and technical environment.

Iterative Health seeks a Staff Data Scientist based in either Cambridge, MA or New York, NY. This position centers on applying data science to enhance healthcare solutions. The role involves collaborating with professionals from various backgrounds and specialties. What you will do Analyze complex datasets to uncover patterns and insights that support decision-making across the company Build predictive models aimed at improving healthcare outcomes Work closely with cross-functional teams to translate data findings into actionable recommendations Location This role is open to candidates in Cambridge, Massachusetts or New York, New York.

Join Artech Information Systems LLC as a Scientist in Cambridge, where you will contribute to groundbreaking research and innovative solutions in a collaborative environment. Your expertise will help drive scientific advancements and enhance our projects.

COMPANY DESCRIPTION Flagship Pioneering is a leading bioplatform innovation firm dedicated to inventing and building transformative companies that aim to make a significant impact on the world. By merging top-tier scientific talent with entrepreneurial visionaries, we mobilize the resources necessary to support bold innovations. Our endeavors in human health, sustainability, and beyond accelerate scientific advancements across a spectrum of fields, including disease detection and treatment, nature-positive agriculture, and cutting-edge AI applications. What distinguishes Flagship is our unique capacity to propel science and technology forward by integrating innovation, company formation, and capital investment under one roof—an approach that is largely unprecedented. Our scientific pioneers, entrepreneurial leaders, and expert capital managers are aligned in a structured process that facilitates transformative innovation for the benefit of both humanity and the planet. We have founded companies that tackle some of society's most pressing challenges, including delivering vaccines to billions during the COVID-19 pandemic, finding cures for chronic diseases, enhancing health outcomes, and fostering sustainable agricultural practices. Flagship Pioneering has been recognized twice on FORTUNE’s “Change the World” list, acknowledging our positive social and environmental contributions, and we have also been honored on Fast Company’s annual list of the World’s Most Innovative Companies. THE ROLE We are on the lookout for a Senior Scientist to spearhead the design, characterization, and optimization of aerosolizable particle systems. This pivotal role involves developing a comprehensive understanding of engineered particles during their generation, dispersion, and transport in air, and translating that knowledge into robust and scalable material and system designs. The Senior Scientist will operate at the intersection of materials science, aerosol physics, and experimental engineering. You will lead the development of aerosol testing capabilities, shape experimental strategies, and connect particle design with airborne performance. This individual will play a vital role in establishing core methodologies and driving projects from concept to validation. In this highly collaborative position, you will work closely with formulation, process development, and hardware teams to ensure seamless integration between particle design, production processes, and real-world deployment challenges.

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.

As an Associate Scientist III, you will play a crucial role in advancing our scientific research initiatives. You will collaborate with cross-functional teams to design, execute, and analyze experiments that contribute to our innovative projects. Your expertise will help drive our mission forward, ensuring that we continue to push the boundaries of scientific discovery.

Our MissionAt Altos Labs, our mission is to rejuvenate cell health and resilience, aiming to reverse diseases, injuries, and the associated disabilities that arise throughout life.For further details, visit our website at altoslabs.com.Our ValuesWe embrace a singular value at Altos: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe hold a firm belief that diverse perspectives are crucial to scientific advancement and inquiry. At Altos, outstanding scientists and industry leaders collaborate from across the globe to further our shared mission. We prioritize creating a sense of belonging, ensuring that every employee feels valued for their unique contributions. We are collectively responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosIn the role of Senior or Principal Machine Learning Scientist, you will be instrumental in the development of generative AI/ML models for multi-modal, multiscale biology, spanning from virtual cells to agentic target assessment. We seek a hands-on, innovative, and collaborative individual to join our multidisciplinary team of scientists and engineers dedicated to transforming the treatment of aging and disease. The ideal candidate will flourish in a dynamic environment that values teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Company Overview Flagship Labs 110 Inc. (FL110) is an innovative, privately held technology company at the forefront of developing a fully integrated, end-to-end platform that revolutionizes proteomics. Our cutting-edge platform combines advanced bioengineering, machine learning, and bespoke microelectronics to deliver unparalleled precision and insights. Backed by Flagship Pioneering, we possess the vision, courage, and resources to achieve extraordinary results. Our culture fosters collaboration and creativity, making it essential for team members to embrace diverse perspectives and an inclusive mindset. If you are excited by the prospect of working in such an environment and possess some of the qualifications listed below, we encourage you to apply. Position Overview: We are looking for a passionate and skilled (Senior) Scientist, Nanopore to become part of our dynamic team. The level for this position is flexible based on experience. Your primary focus will be on the advancement of nanopore sensing technologies, contributing to the development of a nanopore-based protein reading system. As a key member of a cross-functional team, you will collaborate closely with chemists, bioinformaticians, software developers, and hardware engineers. The ideal candidate will have a robust background in nanopore technology, particularly in protein translocation, along with either relevant experience in the biotechnology sector or a proven record of scientific accomplishment.

Join Integrated Resources, Inc. as a Pharmacovigilance Scientist and contribute to the safety and efficacy of pharmaceutical products. In this role, you will be responsible for monitoring, assessing, and reporting adverse effects associated with drug therapies. Your expertise will directly impact patient safety and regulatory compliance while collaborating with cross-functional teams.

Join Integrated Resources, Inc. as a Bench Scientist, where you will be pivotal in advancing our research and development initiatives. This role involves conducting experiments, analyzing data, and collaborating with a team of experts to drive innovation in our laboratory settings.

Your Contribution at Lila Sciences Lila Sciences is actively seeking a dedicated (Senior) Research Associate to become an integral part of our dynamic Life Sciences team. This pivotal role will be centered around the formulation of lipid nanoparticles (LNPs), their functionalization with targeting ligands, and the characterization of the resulting targeted LNPs (tLNPs). The ideal candidate will possess substantial hands-on experience in LNP formulation and characterization, bioconjugation, protein characterization, and automation technologies. Your expertise will significantly enhance our understanding of the delivery space, enabling a high-throughput closed-loop screening cascade for tLNPs. You will work collaboratively with professionals across protein, cell biology, automation, chemistry, machine learning, and data science teams to establish advanced tools for targeted nucleic acid delivery. Your Key Responsibilities Design, execute, and characterize LNP formulations utilizing various scales and mixing modalities (e.g., DLS, ribogreen, TNS). Develop and optimize high-throughput ligand conjugation and purification methodologies, leveraging automation and robotics to maximize throughput. Collaborate with cell assay and antibody experts to screen candidates across diverse tissue targets in in vivo models. Engage with chemists, biologists, engineers, and data scientists to document processes, share insights, and refine best practices in autonomous flow chemistry. Create, implement, and uphold Standard Operating Procedures (SOPs) for both existing and emerging lab processes. Your Qualifications for Success MSc in Chemical Engineering, Biomedical Engineering, Pharmaceutical Sciences, or a closely related field with 3+ years of hands-on experience in targeted LNP production or a BSc with 5+ years of relevant experience. Industry experience is highly desirable. Strong proficiency in bioanalytical techniques (e.g., DLS, fluorescence spectroscopy, electrophoresis, in vitro assays). Experience in protein and antibody design and characterization. Familiarity with automation and high-throughput workflows is preferred. Exceptional troubleshooting, communication, and collaboration skills, with a proven ability to work effectively across interdisciplinary teams. About Lila Sciences Lila Sciences is at the forefront of innovation as the world's first scientific superintelligence platform and autonomous laboratory focused on life sciences, chemistry, and materials science. We are pioneering a new era of limitless discovery by harnessing AI capabilities to enhance every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges.