AI Scientist - BioMedical AI

About Xaira TherapeuticsXaira Therapeutics is a cutting-edge biotechnology startup dedicated to harnessing the power of artificial intelligence to revolutionize the fields of drug discovery and development. Our mission is to innovate generative AI models that facilitate the design of protein and antibody therapeutics, paving the way for effective treatments …

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotechnology startup committed to harnessing the power of artificial intelligence to revolutionize the processes of drug discovery and development. The company is at the forefront of creating generative AI models designed to develop protein and antibody therapeutics, paving the way for effective treatments against previously challenging molecular targets. Additionally, Xaira is developing foundational models for biology and disease that facilitate enhanced target identification and patient stratification. Through these innovative technologies, Xaira aims to continuously uncover novel therapies and significantly enhance the success rates in drug development. With headquarters located in the vibrant San Francisco Bay Area, as well as offices in Seattle and London, Xaira is positioned to lead in the biotech field.About the RoleWe are on the lookout for a talented Biomedical AI Research Engineer who will design and implement sophisticated AI systems capable of reasoning over biomedical knowledge, orchestrating multi-step analyses, and autonomously integrating diverse scientific data sources to expedite therapeutic discovery.This role transcends conventional LLM + RAG pipelines. You will be tasked with constructing AI agents that can effectively retrieve, synthesize, evaluate, and act upon biomedical information derived from literature, omics datasets, and clinical records, functioning as intelligent systems embedded within discovery workflows.Key ResponsibilitiesCreate and execute agentic AI architectures that demonstrate multi-step reasoning, planning, and tool utilization within biomedical contexts.Develop LLM-based agents capable of dynamically retrieving, ranking, and synthesizing knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.Establish memory and feedback mechanisms that empower agents to refine hypotheses, update context, and adapt to changing data.Incorporate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.Design scalable systems that merge structured and unstructured biomedical data within production-grade AI environments.Collaborate closely with computational biologists, translational scientists, and software engineers to integrate agentic systems into practical discovery pipelines.Assess robustness, reliability, and interpretability of autonomous systems in critical biomedical scenarios.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to revolutionizing drug discovery and development through the power of artificial intelligence (AI). Our mission is to lead the advancement of generative AI models designed specifically for creating innovative protein and antibody therapeutics. This allows us to tackle previously challenging molecular targets and develop effective medicines. We are also at the forefront of developing foundational models for biology and disease, facilitating improved target identification and patient stratification. Through our cutting-edge technologies, we aim to consistently discover novel therapies and enhance the success rates of drug development. Xaira has its headquarters in the vibrant San Francisco Bay Area, Seattle, and London.Position OverviewWe are on the lookout for dynamic and passionate candidates to join our innovative team as an AI Scientist! In this role, you will leverage your experience in developing and implementing advanced deep learning methodologies, showcasing a proven record of AI innovation through publications in the fields of Artificial Intelligence or Machine Learning, or through significant interdisciplinary projects. As a vital member of our core AI team, composed of exceptionally talented and creative individuals, you will spearhead exciting projects aimed at advancing state-of-the-art AI models in biology that influence drug discovery and clinical development. This role also provides the opportunity to collaborate with interdisciplinary experts in world-class biology, drug discovery, and clinical domains. Xaira values diversity and encourages candidates from all backgrounds and experiences to apply, as we believe that teams thrive when varied perspectives are included.The position is available in the following locations: San Francisco Bay Area, Seattle, and London.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our mission is to advance the frontier of generative AI models which design innovative protein and antibody therapeutics, making strides against previously difficult molecular targets. Additionally, we are committed to creating foundational models for biology and disease, enhancing target identification and patient stratification. Through these cutting-edge technologies, we aim to consistently unveil novel therapies and elevate the success rates in drug development. Headquartered in the dynamic San Francisco Bay Area, with additional offices in Seattle and London, we are at the forefront of biotech innovation.AI in ResidenceThe AI in Residence program is a highly selective opportunity designed for those at the forefront of machine learning and drug discovery. This role serves as an industry alternative to a traditional postdoctoral position, tailored for exceptional researchers and engineers eager to apply advanced AI methodologies to real-world biomedical challenges, encompassing the entire process from data handling to system deployment.As a resident, you will join a small, focused cohort engaged in high-impact AI projects throughout Xaira. You will closely collaborate with AI scientists, research engineers, and drug discovery teams to conceptualize, develop, and deliver machine learning capabilities that directly impact therapeutic programs. This role demands hands-on, system-level work with tangible scientific implications.We seek candidates who possess technical expertise, intellectual independence, robust research judgment, and a proven track record of high-quality deliverables, whether through publications, contributions to open-source projects, or production systems.

Join the innovative team at Atomic AI, where we harness artificial intelligence to redefine drug discovery. Our pioneering R&D platform, recognized on the cover of Science, aims to tackle previously undruggable diseases by focusing on RNA. As we continually enhance this platform, we are developing cutting-edge machine learning methods and unique foundation models driven by extensive in-house experimental data. Our interdisciplinary team of scientists and engineers believes that our workforce is our greatest asset and vital to our success.The RoleAs a full-time Data Scientist on our Machine Learning team, you will collaborate with scientists and engineers to advance our RNA technology platform for RNA structure prediction, target identification, and early-stage drug discovery. You will spearhead the curation of RNA-centric datasets for machine learning training and validation, uncover statistical patterns in our extensive datasets regarding RNA structure and RNA-small molecule interactions, and devise innovative strategies to assess the accuracy of our machine learning models. Your insights will drive the refinement of our ML models and the strategic acquisition of new experimental data.This is a hybrid position requiring three days per week in our South San Francisco office.

At Atomic AI, we are at the forefront of innovation, utilizing artificial intelligence to revolutionize drug discovery. Our cutting-edge R&D platform, highlighted on the cover of Science, aims to tackle previously undruggable diseases through RNA targeting. We are continuously enhancing our platform by developing advanced machine learning techniques and unique foundational models, driven by our extensive in-house experimental data collection. Our diverse team of scientists and engineers is the cornerstone of our success.About the RoleAs a full-time Machine Learning Scientist, you will collaborate with engineers and experimental scientists to propel our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and assessment of our machine learning pipeline, bringing innovative ideas to fruition within our continuously evolving state-of-the-art platform. Your proactive contributions will help shape the machine learning strategies and overall vision of the company.

About Xaira TherapeuticsXaira Therapeutics is a cutting-edge biotechnology startup that harnesses the power of artificial intelligence to revolutionize drug discovery and development. Our mission is to pioneer generative AI models that design innovative protein and antibody therapeutics, targeting previously challenging molecular entities. We are also creating foundational models to enhance biological and disease understanding, facilitating improved target identification and patient stratification. Our technologies aim to consistently identify breakthrough therapies and elevate success rates in drug development. Xaira is proudly headquartered in the San Francisco Bay Area, with additional locations in Seattle and London.About the RoleWe are seeking a passionate and detail-oriented protein biochemist who excels in hands-on laboratory execution. Your enthusiasm for display technology and drug discovery will drive you as you work towards developing transformative treatments for patients. You thrive in collaborative and fast-paced settings, continuously seeking to push the frontiers of scientific innovation.

insitro blends AI, large-scale biology, and drug discovery into a unified process. Predictive models guide laboratory experiments, while experimental results feed back to improve those models. This feedback loop aims to create a more efficient path from data to discovery. Role overview The Scientist I/II in Integrated Technology and Exploration designs and executes cell-based experiments, using both manual and automated workflows. The work focuses on generating key datasets that support and improve insitro’s predictive models. AI-generated predictions serve as hypotheses, which are tested at the bench. When results diverge from predictions, the scientist investigates whether the issue lies in the model, the experimental design, or the broader framework. Each experiment helps the system learn and become more accurate over time. What success looks like Consistent, high-quality execution of experiments that inform and refine predictive models Evidence-based contributions that improve the accuracy, calibration, and usefulness of the overall system Requirements Strong background in cell biology Comfort working at the intersection of experimental biology and computational modeling Curiosity and motivation to develop systems that improve through real-world data Work location and reporting This position is based onsite at insitro’s South San Francisco headquarters. Presence is required five days a week to maintain rapid feedback between experiments, automation, and AI analysis. The Scientist I/II reports to the Director of Integrated Technology Exploration.

Join AbbVie as an Associate Director of AI Transformation, where you will play a pivotal role in driving our AI initiatives to enhance patient outcomes and operational efficiency. This leadership position requires a blend of strategic vision and technical expertise, ensuring our AI solutions align with our organizational goals.In this role, you will lead a cross-functional team, collaborate with stakeholders, and leverage cutting-edge AI technologies. Your contributions will directly impact our commitment to innovation and excellence in healthcare.

Join Tahoe Therapeutics as a Senior Machine Learning Scientist!At Tahoe Therapeutics, we are at the forefront of revolutionizing drug discovery by leveraging real patient biology. Our innovative Mosaic platform enables scalable in vivo data generation at single-cell resolution, allowing for intricate mapping of drug effects on patient-derived cells across diverse biological contexts. As we develop the world’s most comprehensive in vivo single-cell perturbation atlas, we harness cutting-edge machine learning techniques combined with the richest biological datasets to accelerate the discovery of effective drugs for those who need them most.Your Role:As a Senior Machine Learning Scientist, you will be instrumental in designing the next generation of foundation models that elucidate gene regulatory networks, utilizing our extensive single-cell datasets such as Tahoe-100M. This position is ideal for individuals with a profound understanding of machine learning and statistics, eager to apply groundbreaking ML advancements to impactful challenges in drug discovery. We seek innovative thinkers who can contribute to the creation of models that will significantly influence the field of drug development.

Join AbbVie as the Director of AI Transformation, where you will lead the charge in harnessing artificial intelligence to drive innovation and improve patient outcomes. You will be responsible for developing and implementing cutting-edge AI strategies that align with our mission to enhance the quality of life for patients around the globe. Collaborate with cross-functional teams to integrate AI technologies into our existing processes and workflows, ensuring that we stay at the forefront of healthcare advancements.

The OpportunityAt insitro, machine learning is at the forefront of our innovative approach to drug development. Our unique TherML Platform harnesses AI to expedite therapeutic discovery across various modalities, from initial hit identification to lead optimization. This pioneering strategy allows us to swiftly design therapeutics targeting novel, internally discovered targets, utilizing extensive datasets recognized as some of the largest and most comprehensive in the industry.We are currently seeking a Machine Learning Scientist who will actively engage with our TherML platform to spearhead the design of multiple oligonucleotide therapeutic programs while directly influencing the enhancement of our platform and machine learning models. This position presents an exciting opportunity to translate state-of-the-art machine learning into tangible advancements in drug discovery. The role reports to the Senior Manager of Molecular Machine Learning and offers a flexible hybrid working model (2 days in-office per week) or remote work (one week on-site per quarter).

Join Our MissionAt insitro, we are at the forefront of transforming drug development through the power of machine learning. Our pioneering ChemML Platform leverages advanced AI techniques to expedite small molecule discovery, from initial hit identification to lead optimization. By utilizing some of the most extensive datasets in the industry, we are able to design innovative drugs targeting novel AI-derived compounds swiftly.Billions of proprietary binding affinity measurementsHundreds of thousands of ADMET and In Vivo PK measurementsExperimental data generated through our AI-driven DMTL optimization cyclesWe are seeking an Applied Machine Learning Scientist who will actively engage with our ChemML platform to drive design across various therapeutic programs. This is a unique opportunity to apply cutting-edge machine learning techniques to make a tangible impact in drug discovery. The role reports to the Senior Manager, Molecular Machine Learning and offers a flexible hybrid work model (2 days in the office per week) or remote work arrangement (1 week in-office per quarter).

As the Director of Discovery AI Partnerships at AbbVie, you will be at the forefront of innovative collaborations that leverage artificial intelligence to enhance our drug discovery processes. You will lead strategic initiatives, build and maintain relationships with key partners, and drive the integration of AI technologies into our research frameworks. This leadership role requires a visionary mindset, strong project management skills, and the ability to navigate complex scientific challenges.

Join AbbVie as the Director of Discovery AI Partnerships, where you will spearhead innovative collaborations aimed at harnessing artificial intelligence to transform the landscape of healthcare. In this pivotal role, you will be at the forefront of developing strategic partnerships with external research organizations and technology firms. Your expertise in AI integration will be crucial in advancing our mission to improve patient outcomes.

About PhyloPhylo is a pioneering applied research laboratory dedicated to the advancement of agentic intelligence aimed at accelerating the discovery process for biomedical scientists. We envision a future where AI agents revolutionize biomedical research, fostering rapid and systematic scientific advancements.Our expanding team consists of elite researchers and engineers specializing in AI and biology. With a robust $13.5M seed funding round led by top-tier investors such as a16z, Menlo Ventures, and Anthropic, and endorsed by Nobel Prize winners and leading biologists, Phylo is at the forefront of developing next-generation AI systems for the life sciences.About the RoleWe are seeking a skilled engineer to construct and maintain the essential systems that drive Phylo’s agentic AI platform in live environments. You will architect and implement distributed systems, computing frameworks, and service architectures that ensure our AI agents operate reliably at scale, whether in cloud-native settings or enterprise environments.This position represents a foundational role within our team, granting you substantial ownership over critical infrastructure decisions, a high level of autonomy, and the opportunity to significantly influence the company’s trajectory from day one.Our engineering team is AI-driven, leveraging coding agents extensively, moving swiftly, and maintaining rigorous standards of engineering excellence.ResponsibilitiesDesign and develop production systems that orchestrate agent execution and support AI-driven scientific workloads.Construct and manage scalable, reliable infrastructure across cloud, hybrid, and on-premises enterprise environments.Oversee enterprise deployment architecture, ensuring secure, reproducible installations for customer-managed infrastructures (VPC, private cloud, on-prem, air-gapped, or regulated environments).Create systems for sandboxed execution, secure task isolation, and controlled computing environments. Design and implement foundational security, access control, and compliance mechanisms suitable for enterprise deployments.Collaborate closely with ML and scientific teams to convert computational workflows into robust, production-grade distributed systems.RequirementsA minimum of 3 years of industry experience in backend, infrastructure, or distributed systems engineering.Demonstrated proficiency in at least one programming language (e.g., Python, Go, Rust).

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our innovative team is at the forefront of creating generative AI models that facilitate the design of protein and antibody therapeutics, enabling the development of medications targeting historically challenging molecular entities. We are also working on foundational models that enhance our understanding of biology and disease, leading to improved target identification and patient stratification. Together, these advancements strive to continuously uncover novel therapies and enhance the efficiency of drug development processes. Headquartered in the vibrant tech hubs of the San Francisco Bay Area, Seattle, and London, Xaira is positioned to make a global impact in healthcare.About the RoleWe are on the lookout for a skilled AI Research Engineer to join our dynamic team. As an integral member of our interdisciplinary unit, you will work closely with AI scientists, engineers, and drug discovery specialists to develop and implement AI models aimed at expediting the discovery and development of innovative therapeutics. This position presents an exciting opportunity to apply state-of-the-art AI methodologies in practical settings to tackle critical healthcare challenges and contribute to enhancing global health outcomes.We seek candidates with a proven track record in building and deploying machine learning systems in industrial contexts, emphasizing rigor, scalability, and cross-functional collaboration. The ideal candidate will possess experience in transforming research concepts into robust, production-ready applications that deliver measurable results.

We are seeking a dynamic and experienced Director of Global Alliances - AI to lead our strategic partnerships and collaborations in the artificial intelligence domain. This pivotal role will involve driving the development and execution of joint initiatives with industry leaders and technology partners. You will be responsible for identifying new partnership opportunities, negotiating agreements, and ensuring alignment with AbbVie’s strategic goals.As a key member of our leadership team, you will work closely with cross-functional teams to enhance our AI capabilities and deliver innovative solutions that can transform patient care. Your expertise in AI technologies and market trends will be essential in shaping our partnerships and ensuring their success.

About Us: Calico Life Sciences LLC, a cutting-edge research and development firm founded by Alphabet, is dedicated to unraveling the complexities of human aging through advanced technologies and innovative model systems. Our mission is to leverage this understanding to create interventions that promote longer, healthier lives. With state-of-the-art technology labs, a culture of curiosity-driven discovery, and a robust pipeline of drug development in collaboration with both academic and industry partners, Calico is an inspiring environment for catalyzing medical breakthroughs. Job Overview: We are on the lookout for a dynamic and passionate Scientist/Senior Scientist in Aging Biology to become a pivotal member of our Translational Medicine team. In this vital role, you will investigate the mechanisms of action (MOA) of therapeutic targets within our aging biology pipeline. The successful candidate will define the molecular and cellular pathways integral to our research programs, translating novel in vivo findings into a profound mechanistic understanding that will guide clinical development. The ideal candidate will possess substantial expertise in cell biology, MOA studies, and complex signaling pathways. Key Responsibilities: Design and implement experimental strategies to elucidate the molecular and cellular mechanisms of action for aging-related targets and biomarkers, providing insights that steer program direction. Execute in vitro and ex vivo studies to explore target biology in significant aging-related processes, such as stem cell function, tissue repair, and signaling or transcriptional regulation. Analyze acute and chronic pathway modulation in tissue injury and aging models to comprehend the evolution of stress responses and repair mechanisms in aging. Investigate the molecular drivers of in vivo phenotypes in preclinical aging models to identify biomarkers and translatable mechanisms for clinical development. Collaborate with in vivo pharmacology and biomarker teams to select optimal preclinical models that effectively probe target biology. Engage with cross-functional teams (e.g., Biomarkers, Genomics, Protein Sciences) to integrate multi-omic datasets and construct a comprehensive mechanistic framework. Analyze, interpret, and present complex data along with strategic recommendations to internal project teams and senior leadership. Maintain rigorous experimental documentation and contribute to internal reports, publications, and regulatory submissions.

Join Cellares as a Senior Manager of Enterprise AI, where you will spearhead the implementation of our enterprise AI strategy. In this pivotal role, you will drive the operational integration of AI across our business and manufacturing systems, with a keen focus on delivering tangible outcomes within GMP systems (MES, ERP, LIMS, QMS), enterprise functions, and advanced digital manufacturing platforms.This position requires a proactive individual contributor who thrives at the intersection of AI, enterprise architecture, data platforms, and business transformation. You will collaborate closely with cross-functional teams to deploy scalable, compliant, and impactful AI solutions.Ideal candidates will thrive in a dynamic, mission-driven environment and be ready to address a wide array of challenges as our company continues to expand.