Associate Scientist I

Your Contribution at Lila At Lila, we are assembling a dynamic and empowered AI safety team dedicated to proactively addressing the potential risks associated with scientific superintelligence. This team will collaborate closely with all core departments, including science, model training, and lab integration, to craft a customized safety strategy that aligns with our unique objectives and deployment methods. Key responsibilities will encompass the development of technical safety strategies, engagement with the broader ecosystem, and the creation of essential technical documentation, including risk assessments and capability evaluations. Your Key Responsibilities Design and execute evaluations to identify scientific risks—focusing on both established and emerging threats—from state-of-the-art scientific models integrated with automated physical laboratories. Develop initial proof-of-concept safety measures, such as machine learning models designed to detect and mitigate unsafe behaviors from scientific AI models and physical laboratory outputs. Gain a comprehensive understanding of various model capabilities, primarily within scientific contexts but also extending to non-scientific domains (e.g., persuasion, deception) to shape Lila's overarching safety strategy. Engage in high-quality research initiatives as needed to evaluate and restrict scientific capabilities effectively. Qualifications for Success A Bachelor's degree in a relevant technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or equivalent experience. Proficient programming skills in Python and hands-on experience with machine learning frameworks (such as Inspect) for large-scale evaluations and structured testing. Demonstrated experience in constructing evaluations or conducting red-teaming exercises pertaining to CBRN/cyber risks or frontier model capabilities, encompassing both unsafe and benign attributes. Background in designing and/or implementing AI safety frameworks in cutting-edge AI enterprises. Exceptional ability to communicate intricate technical concepts and issues to audiences without technical expertise. Desirable Qualifications A Master’s or PhD in a field pertinent to safety evaluations of AI models within scientific areas or another technical discipline. Publications in AI safety, evaluations, or model behavior at leading ML/AI conferences (such as NeurIPS, ICML, ICLR, ACL) or model release documentation. Experience exploring risks arising from novel scientific advancements (e.g., biosecurity, computational biology) or utilizing specialized scientific tools (e.g., large-scale foundational models in science).

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 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.

About Healx Healx is an innovative tech bio company harnessing the power of AI to revolutionize drug discovery. With more than 10,000 rare diseases impacting 400 million individuals worldwide, and 90% of these conditions without approved treatments, our mission is to spearhead a new era in drug development that expedites access to therapies for patients. We merge extensive data analytics, cutting-edge artificial intelligence, and deep pharmacological knowledge to create therapies with greater efficiency and cost-effectiveness compared to traditional methods. Diversity and inclusion are fundamental to our mission of supporting those with rare diseases. We believe that cultivating and empowering a diverse workforce is essential to fulfilling this vision. We warmly invite applications from individuals of all backgrounds and experiences. If you are passionate about our mission and values, we encourage you to apply, even if you don’t meet every listed requirement. Our Core Values Care for rare – Our focus is on patients at the center of all we do. Grow as individuals – We are committed to continuous learning and expertise development. Win as a team – We promote inclusivity, celebrate achievements, and learn together. Innovate and deliver – We act swiftly, embrace calculated risks, and maintain high standards. The Role We are in search of a Translational Scientist (DMPK & Safety) to play a pivotal role in translating AI-driven drug predictions into clinical outcomes. This position is drug-focused and highly collaborative, where you will generate and analyze data while shaping the non-clinical pathway to clinical application. You will be part of the pharmacology team, collaborating closely with our technology, curation, and clinical teams to convert computational predictions into promising therapeutic candidates. We seek a candidate with robust DMPK expertise who is eager to broaden their scope into a comprehensive translational role, making strategic contributions throughout the drug discovery lifecycle.

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.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges in Artificial Intelligence and Robotics. Our goal is to pave the way for future generations of intelligent machines that enhance our daily lives.Position OverviewWe are seeking passionate and innovative Research Scientists with substantial hands-on research experience in one or more of the following areas: Cognitive AI, Athletic AI, Organic Hardware Design, or Robot Ethics. If you're enthusiastic about advancing robotic technology and its applications to improve functionality and effectiveness, we invite you to join our team!

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.

We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. This entry-level position is an excellent opportunity for recent graduates or those new to the field of scientific research. As a Bench Scientist, you will play a crucial role in conducting experiments, analyzing data, and contributing to innovative projects. If you are passionate about science and eager to learn, we encourage you to apply!

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.

AbbVie is seeking a talented and motivated Associate Scientist II or Scientist I to join our dynamic In Vivo Pharmacology team in Cambridge. As part of our innovative research environment, you will play a crucial role in advancing our understanding of pharmacological mechanisms through in vivo studies. This position offers an exciting opportunity to contribute to groundbreaking research that has the potential to transform patient care.

About Graphcore At Graphcore, we are pioneering the future of artificial intelligence computing. Our team comprises semiconductor, software, and AI specialists with extensive expertise in developing the complete AI compute stack—from silicon and software to large-scale infrastructure. As a proud member of the SoftBank Group, we benefit from substantial long-term investments, enabling us to contribute essential technology to the rapidly evolving SoftBank AI ecosystem. To capture the immense potential of AI, Graphcore is expanding globally, uniting the brightest minds to tackle the most challenging problems, where every individual is empowered to make a significant impact on our company, our products, and the future of AI. Job Summary As a Research Scientist at Graphcore, you will play a vital role in advancing AI research by exploring innovative ideas that address significant AI/ML challenges. The evolution of AI has been primarily driven by specialized hardware over the past decade, and we believe that developing hardware-aware AI algorithms and AI-optimized hardware will remain crucial for progress in this exciting domain. We seek candidates who are not only curious scientists but also proficient engineers, equipped with both theoretical knowledge and practical skills essential for impactful AI research. We welcome applicants with experience in low-power, edge, and embodied AI applications, including robotics, autonomous vehicles, and augmented/virtual reality. Your expertise will contribute to the training and deployment of multimodal AI models in these contexts, focusing on areas such as world models, real-time computer vision, and reasoning over audio and video streams. The Team The Graphcore Research team engages in both fundamental and applied research to define the computational needs of machine intelligence and showcase how hardware advancements can lead to the next generation of innovative AI models. We actively publish in leading AI/ML conferences (NeurIPS, ICML, ICLR) and participate in specialized workshops while collaborating with various research teams and organizations globally. We take pride in fostering a supportive and collaborative environment, where we organize ourselves around individual research interests to collectively solve challenges in domains such as efficient computation, model scaling, and distributed training and inference of AI models across multiple modalities and applications, including sequence and graph-based data. Our teams are spread across London, Cambridge, and Bristol, with projects and discussions that involve all locations.

Are you passionate about advancing the field of machine learning? Join our team at Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist. In this role, you will leverage your expertise to drive innovation and development in cutting-edge research projects. Collaborate with a multidisciplinary team to push the boundaries of machine learning technology.

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.

Join our dynamic team at Integrated Resources Inc. as an Associate Scientist II, where you will play a crucial role in advancing our innovative projects. In this position, you will engage in various scientific experiments and analyses, contributing to the development of cutting-edge solutions.

We are seeking a dedicated and detail-oriented Bench Scientist to join our innovative team at Artech Information Systems LLC. This entry-level role is perfect for recent graduates or individuals looking to kickstart their career in scientific research. The Bench Scientist will be responsible for conducting experiments, analyzing data, and contributing to various projects that advance our understanding of scientific principles.

We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. In this role, you will be responsible for conducting experiments, analyzing results, and contributing to various research projects. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in a laboratory setting.

We are seeking a highly motivated and detail-oriented Associate Scientist I to join our dynamic team in Cambridge. The ideal candidate will assist in the design and execution of experiments, analysis of data, and contribute to various projects within our research initiatives.

About Lila Sciences Lila Sciences stands at the forefront of innovation as the world's first scientific superintelligence platform and autonomous laboratory, dedicated to life sciences, chemistry, and materials science. Our mission is to revolutionize the scientific method by harnessing AI capabilities to tackle humanity's most pressing challenges in health, climate, and sustainability. Discover more about our vision at www.lila.ai. At Lila, we foster a culture of collaboration and inclusivity, encouraging diverse perspectives and creative problem-solving within our teams. We believe that all contributions matter and strive to create an environment where every voice is valued. If you resonate with our values and are excited about the possibility of contributing, we encourage you to apply even if you meet only some of the qualifications below. Your Impact at Lila As a Scientist on our Physical Sciences team, you will play a pivotal role in developing innovative flow chemistry workflows. You will design, construct, and optimize cutting-edge flow chemistry platforms, seamlessly integrating real-time analytics and AI-driven decision-making. Collaborating closely with systems engineers and AI scientists, you will enhance our autonomous chemistry capabilities and expedite discovery processes at an unprecedented scale. What You Will Create Design & Commission: Architect and develop versatile flow chemistry platforms for autonomous synthesis, ensuring seamless integration with the Lila platform.

Join Integrated Resources Inc. as an Associate Scientist where you will engage in groundbreaking research and contribute to innovative projects. This role offers an exciting opportunity to work in a collaborative environment, driving advancements in our scientific endeavors.