Senior Data Engineer - Drug Discovery Data Engineering

About Us: Calico Life Sciences LLC, a subsidiary of Alphabet, is at the forefront of research and development, focusing on understanding the biology of human aging through advanced technologies and innovative model systems. Our mission is to leverage this knowledge to create interventions that promote longer, healthier lives. With cutting-edge technology labs, a commitment to curiosity-driven scientific discovery, and a dynamic drug-development pipeline in collaboration with academic and industry partners, Calico is a vibrant environment for catalyzing medical breakthroughs. Role Overview: We are on the lookout for a Senior Data Engineer to become a key member of our collaborative Engineering team and lead the establishment of the Drug Discovery Data Engineering group. The ideal candidate will be an enthusiastic team player, meticulous, highly organized, and adept at navigating intricate data, software, and scientific challenges. In this role, you will serve as a crucial technical liaison among our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences teams. You will oversee projects from initial requirements through to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our proprietary AI platform. As the inaugural hire for this team, your contributions will be instrumental in shaping data flows, developing web applications for stakeholder engagement, and establishing a progressive engineering culture in this vital growth sector. Key Responsibilities: Project Leadership: Collaborate with scientists across Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, design solutions, and implement production-grade software that enhances data movement and analysis. System Integration: Create and deploy effective integrations between internal pipelines and third-party platforms, particularly involving the CDD molecular database, Mosaic inventory systems, and Benchling ELN. Data Flow Optimization: Develop and refine data flows organization-wide (e.g., facilitating seamless data transitions from Machine Learning to Protein Sciences to Assay Technologies) to expedite the drug discovery feedback loop. Full-Stack Development: Build data systems and internal web applications (utilizing React and Python) to empower stakeholders to review, visualize, and communicate complex scientific data effectively. Mentorship & Leadership: Act as a senior technical advisor within the broader Engineering team.

At Structure Therapeutics, we are dedicated to developing transformative medicines for patients utilizing cutting-edge structure-based and computational drug discovery technologies. Our innovative platform merges the latest breakthroughs in molecular interaction visualization, computational chemistry, and data integration to create superior oral small molecule medicines that address the limitations of current biologic and peptide drugs. We are actively progressing a clinical-stage pipeline of unique treatments targeting chronic diseases with significant unmet needs, particularly in cardiovascular, metabolic, and pulmonary health.Our leadership team consists of renowned international drug innovators, supported by top-tier global life sciences investors. Having completed our IPO in February 2023, we operate offices in California and Shanghai, leveraging the strengths of both regions to be at the forefront of life science innovation.

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.

Maze Therapeutics applies precision medicine to address both common and rare diseases. The Machine Learning Application Engineer II role is based in South San Francisco and focuses on building and improving production-ready solutions that advance drug discovery efforts. Role overview This position centers on designing and developing data and machine learning infrastructure that supports different stages of drug discovery, from early research through lead optimization and development. The work involves refining existing systems to improve reliability and scalability while ensuring alignment with scientific objectives. What you will do Design and develop infrastructure for data and machine learning to support multiple phases of drug discovery. Enhance current systems to improve reliability, scalability, and scientific relevance. Apply FAIR data principles to maintain strong standards in data management and engineering. Collaborate with scientific and engineering teams to deliver solutions that enable data-driven research. Reporting structure This role reports to a Senior Data Engineer.

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.

Join Tahoe Therapeutics as a Senior Machine Learning EngineerAt Tahoe Therapeutics, we are transforming drug discovery with our innovative approach that prioritizes the biology of real patients. Our groundbreaking Mosaic platform allows for scalable in vivo data generation at single-cell resolution, enabling us to understand how drugs impact patient-derived cells across diverse biological contexts. We are committed to constructing the world’s largest in vivo single-cell perturbation atlas and utilizing it to develop multimodal foundation models that elucidate the context-dependent dynamics of gene function, disease progression, and drug responses.Our mission is clear: to expedite the discovery of superior drugs and ensure they reach the patients who need them the most by leveraging advanced machine learning techniques alongside the most biologically pertinent datasets in drug discovery.Your ContributionsAs a Senior Machine Learning Engineer, you will lead the design of the next generation of foundation models for gene regulatory networks, drawing on Tahoe’s extensive single-cell datasets such as Tahoe-100M and beyond. This role is tailored for individuals with a robust background in machine learning and statistics, coupled with a passion for applying innovative ML developments to impactful challenges in drug discovery. We seek unconventional thinkers ready to advance the frontiers of possibility in our field.

Vilya is at the forefront of computational biotechnology, developing an innovative class of medicines designed to precisely target disease biology. We are committed to integrating computational strategies as a core aspect of drug discovery and development. Our advanced platform is founded on pioneering research and explores uncharted chemical spaces to create new molecular structures that do not exist in nature.We are leveraging our platform's capabilities to tackle previously unattainable targets across a wide range of medical indications. Vilya’s ultimate ambition is to address some of the most significant unmet medical needs of our time.Our Vision: To revolutionize technology and biology for the enhancement of human health.Our Mission: To establish an independent, leading biotech company grounded in intelligent drug design, aiming to cure the incurable.We are looking for a driven and enthusiastic Summer Intern to join our Structural Biology and Biology teams in South San Francisco for a 12-week internship in the summer of 2026. Reporting to the Director of Structural Biology, this in-office position will be vital in advancing our platform technology and facilitating the transition of orally available macrocycles into clinical settings.

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.

About Us:Calico Life Sciences LLC, founded by Alphabet, is a pioneering research and development entity dedicated to advancing our understanding of human aging through cutting-edge technologies and model systems. Our mission is to leverage this knowledge to develop interventions that promote longer, healthier lives. At Calico, we foster a culture of curiosity-driven science, supported by a robust drug-development pipeline in collaboration with leading academic and industry partners, making us a dynamic environment for medical innovation.Position Overview:We are on the lookout for a seasoned Scientist to join our mass spectrometry proteomics team. The ideal candidate will exhibit enthusiasm, attention to detail, and exceptional organizational skills while tackling complex scientific challenges. This role focuses on employing chemoproteomics techniques via mass spectrometry to facilitate drug discovery, involving extensive sample handling and optimization of proteomics methodologies to propel our drug discovery initiatives forward.

The OpportunityThe remarkable integration of multi-modal data, advanced disease modeling, and cutting-edge computational capabilities is transforming the landscape of drug discovery. At insitro, we are seizing this pivotal moment to revolutionize the development of treatments for complex diseases. Our AI and machine learning-driven platforms are designed to integrate and scale data swiftly, enabling the discovery of novel biological insights that redefine complex diseases and pinpoint new therapeutic targets and drugs.To realize this ambitious vision, we are in search of a Senior Director of Project & Portfolio Management (PPM) who will spearhead the creation of an AI-centric PPM organization. This role will collaborate closely with Therapeutic Area, Operations, Clinical, and Business Development teams to advance a high-impact portfolio of innovative drug candidates targeting neurological, ophthalmological, and metabolic conditions.Reporting to the Chief Scientific Officer, you will work alongside project team leaders to formulate tailored project strategies and cultivate a high-performance team environment that promotes rapid advancement. You will be responsible for developing and executing comprehensive integrated project plans with clearly defined timelines across research, discovery, clinical development, software engineering, and data science/machine learning. As the head of PPM, you will also collaborate with colleagues in Compute, Operations, and Finance to establish sophisticated AI-driven project management, decision-making, and resource allocation methodologies to support critical initiatives.This position is hybrid, requiring three days per week on-site at our South San Francisco headquarters.

About ZiplineAre you passionate about making a difference? Zipline is on a transformative mission to revolutionize logistics and delivery on a global scale. We aim to address critical access challenges by developing the world’s first instant delivery and logistics system that serves all individuals, regardless of their location. Our innovative technology has already made a significant impact, from supporting Rwanda’s national blood delivery system and facilitating Ghana’s COVID-19 vaccine rollout to providing on-demand home delivery solutions for Walmart. By leveraging advanced robotics and autonomous technology, we're not only decarbonizing delivery but also reducing road congestion and minimizing fossil fuel usage while ensuring equitable access for billions of people. Join us in our commitment to building a more resilient global supply chain. Be a part of Zipline and help fulfill our mission to create a fair and robust global supply chain for people everywhere.

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.

About UsKardigan is a pioneering heart health organization dedicated to transforming cardiovascular disease into a preventable and curable condition, aiming to eradicate it as the leading cause of death globally.Our mission is to develop a range of targeted therapies simultaneously, ensuring patients with cardiovascular conditions receive the cures they deserve. Founded by industry leaders Tassos Giannakakos, Jay Edelberg, M.D., Ph.D., and Bob McDowell, Ph.D., Kardigan's team previously drove the successful discovery and development of mavacamten at MyoKardia, culminating in its acquisition by Bristol Myers Squibb in 2020. We boast a state-of-the-art research and development platform, a robust pipeline of late-stage candidates, and an exceptional team committed to enhancing patient lives. At Kardigan, our core values shape our work culture, interactions, and achievements. We are patient-centric, prioritizing the needs of patients and their families. We champion authenticity, fostering an inclusive environment where everyone feels valued. Our drive for continuous learning encourages curiosity and adaptability. We are dedicated to team success, working with urgency and excellence, and supporting one another in all roles. Finally, we aim to achieve the seemingly impossible, taking calculated risks to drive innovation and scientific progress. These values empower us to make a meaningful impact every day. Role OverviewKardigan is on the lookout for a seasoned and accomplished Director of CMC Drug Substance Development. Reporting directly to the VP of Chemical Development, this individual will collaborate with team members in the Chemical Development department to manage the evolution of a burgeoning early-stage pipeline alongside a sophisticated late-stage portfolio, encompassing both small molecules and oligonucleotides.

The OpportunityBecome a pivotal member of Maze Therapeutics as the Director of Data Management. In this influential position, you will formulate and execute the data strategy that underpins our clinical development initiatives. Collaborating extensively with teams in Biostatistics, Statistical Programming, Clinical Operations, and Regulatory Affairs, you will also manage external vendors to ensure the delivery of high-quality, reliable clinical data across our studies.Reporting directly to the Vice President of Biometrics, you will provide strategic guidance and hands-on leadership for clinical data management across various clinical trials. Your contributions will ensure that data is delivered in a timely, compliant, and analysis-ready format, supporting regulatory submissions and critical program decisions.The Impact You’ll HaveLead data management efforts across multiple clinical studies and development phases.Shape and implement data management strategies, standards, and best practices.Mentor and support data management team members, fostering their growth and knowledge sharing.Serve as a subject matter expert for data management processes, systems, and regulatory expectations.Oversee critical study deliverables, including DMPs, CRFs/eCRFs, edit checks, and database locks.Guide accurate, consistent, and timely clinical data collection, cleaning, and reconciliation.Review and approve key study documentation to ensure readiness for analysis and reporting.Drive database lock planning and collaborate closely with Biostatistics and Medical Writing to support analyses and study reports.Manage CROs and external vendors, ensuring clarity regarding timelines, quality expectations, and contractual commitments.Support the evaluation, implementation, and optimization of EDC and data management technologies.Collaborate closely with Clinical Operations, Biostatistics, and other partners across the organization.Provide data management insights for protocols, study design, and operational planning, while proactively communicating risks and mitigation strategies to senior leadership.

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).

ABOUT YOU AND THE ROLE Zipline is leading a logistics revolution, utilizing autonomous aircraft to deliver life-saving medical supplies across various continents, every day of the week. We have successfully completed over 2,000,000 deliveries to date. At Zipline, we are committed to ensuring that access to medical care is not determined by geographic location. To fulfill our mission globally, we're enhancing our autonomy capabilities to swiftly and safely expand our product offerings and reach, ultimately delivering vital packages directly to your doorstep. Our Autonomy team is in search of a Full Stack Engineer to create web-based data visualization and annotation tools. These tools will empower the Autonomy team to introspect, visualize, and engage with data produced by thousands of Zips operating worldwide, addressing Zipline’s fundamental autonomy challenges. WHAT YOU'LL DO Develop advanced data triage and exploration interfaces that allow users to filter, analyze, and navigate through millions of records. Design and construct web front-end visualization tools for Zipline's data pipelines to facilitate high-quality analysis aimed at solving essential autonomy issues. Create scalable and efficient backend APIs and real-time data pipelines to support complex querying, filtering, and aggregation across extensive datasets. Design and execute efficient database schemas, indexes, and query optimization strategies to guarantee high-performance search and analysis at scale. Collaborate closely with engineering teams to comprehend workflows and deliver tools that enhance operational efficiency and data-driven decision-making.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our mission is to lead the way in developing generative AI models for designing innovative protein and antibody therapeutics, paving the path for medicines targeting traditionally challenging molecular targets. We are also focused on creating foundational models for biology and disease to enhance target elucidation and patient stratification. Together, these cutting-edge technologies are designed to continually facilitate the discovery of novel therapies and enhance success rates in drug development. Our headquarters are located in the vibrant San Francisco Bay Area, Seattle, and London.About the RoleXaira Therapeutics is on the lookout for a lab-based Senior Scientist specializing in Inflammation and Immunology to join our Biology & Pharmacology department. This position is perfect for an individual who excels in a hands-on research setting, possesses experience working with primary human or mouse immune cells, and is eager to influence the strategy of therapeutic programs.As a Senior Scientist, you will explore disease biology and drug mechanisms, generate impactful data, and collaborate across teams to advance our therapeutic initiatives.What You’ll DoLead preclinical programs by designing and conducting in vitro and in vivo studies to investigate disease biology, validate targets, and develop lead candidates.Identify critical knowledge gaps, pose essential mechanistic questions to steer program direction, and assess new targets and therapeutic strategies.Dissociate human tissue biopsies into single-cell suspensions or establish human tissue slice cultures for subsequent functional or phenotyping assays.Conduct immune profiling and functional characterization using advanced high-parameter flow cytometry (15+ colors or spectral platforms), functional assays (T cell activation, differentiation, proliferation, suppression), and molecular/cytokine profiling (MSD, Luminex, qPCR, RNA sequencing).Convert experimental data into actionable insights and effectively communicate findings and recommendations to cross-functional teams.

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).

At Vilya, we are at the forefront of computational biotechnology, pioneering a new class of medicines aimed at precisely targeting the underlying biology of diseases. Our conviction is that computational methodologies are not just supplementary but essential to the realms of drug discovery and development. Our innovative platform is rooted in cutting-edge research in advanced computational techniques, allowing us to explore uncharted chemical territories to design novel molecular structures beyond those found in nature.We are leveraging the strengths of our platform to tackle previously unattainable targets across various medical indications. Vilya's overarching mission is to address some of the most pressing unmet medical needs we face today.Vision: To harness a technological and biological revolution to enhance human health.Mission: To establish an independent, leading biotech company driven by intelligent drug design aimed at curing the incurable.We are excited to welcome a detail-oriented and enthusiastic Summer Intern to our Biology team in South San Francisco for a 12-week internship in the summer of 2026. In this position, you will gain invaluable hands-on experience within the pharmaceutical sector, developing and executing in-vitro assays to assess the efficacy, uptake, and metabolism of early-stage drug candidates. You will report directly to our Director of Biology and collaborate closely with seasoned scientists to advance the development of new therapeutic solutions. This internship represents an outstanding opportunity to delve into Drug Metabolism and Pharmacokinetics (DMPK) as well as Molecular Pharmacology techniques supporting Drug Discovery and Development.

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.