Computational Biology Technical Staff Member

Role overview phylo seeks a Computational Biology Technical Staff Member based in South San Francisco. This role centers on using computational approaches to address complex biological problems. The position supports projects designed to deepen scientific knowledge and develop practical applications within the field. Responsibilities Apply computational tech…

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 PhyloPhylo is a pioneering applied research laboratory dedicated to harnessing agentic intelligence, revolutionizing the discovery process for biomedical scientists. We envision a future where AI agents transform the landscape of biomedical research. Our rapidly expanding team comprises skilled researchers and engineers specializing in AI and biology.About the RoleWe are seeking a Product Engineer to enhance and scale the foundational product experiences of Phylo's AI agent platform. This multifaceted, full-stack position leans towards frontend development and aims to convert cutting-edge agentic research into fast, reliable, and enjoyable products utilized by real scientists.You will take ownership of product features from start to finish — encompassing UI and interaction design, backend APIs, billing, authentication, and integrations. Collaborating closely with AI researchers, scientists, and infrastructure engineers, you will deliver production-grade systems promptly while maintaining high standards of quality.This role demands a deep interdisciplinary approach. You will spend significant time listening, questioning, and facilitating communication between scientists, product managers, engineering teams, and AI research. As an AI-native engineering team, we leverage coding agents extensively, operate at a fast pace, and uphold a rigorous standard of engineering excellence.Key ResponsibilitiesDevelop and manage full-stack product features across the Phylo platform, from user-facing UI to backend services.Design and implement frontend-heavy experiences for engaging with AI agents, workflows, and scientific tools.Oversee essential product components such as billing, usage tracking, authentication, permissions, and account management.Collaborate intimately with scientists, AI researchers, and engineers to translate capabilities into user-friendly, production-ready product features.Deliver swiftly, iterate based on user feedback, and continuously enhance product quality, reliability, and performance.RequirementsA minimum of 2 years of industry experience as a product, full-stack, or frontend-focused software engineer.Extensive experience in developing modern web applications (e.g., React, TypeScript, or similar frameworks).Proficient in working across the technology stack (frontend, backend, and infrastructure) with excellent communication skills to collaborate effectively across biology, product, engineering, and AI teams.Demonstrated product instincts — a strong passion for user experience, attention to detail, and understanding of how real users interact with products.

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.

The OpportunityAt insitro, we are dedicated to harnessing the power of artificial intelligence and machine learning to pioneer the development of innovative medicines aimed at treating diseases that currently have limited or no effective therapies. The field of drug discovery has encountered significant challenges, including a sustained decline in productivity and high clinical failure rates, primarily due to inadequate understanding of the biological mechanisms underlying diseases. Despite substantial investments in building predictive biological models, the need for improved predictive frameworks remains critical.To address this challenge, insitro has successfully established a target and biology discovery engine that integrates high-throughput, multimodal cellular phenotyping and data generation with cutting-edge machine learning and AI methodologies. As the Head of CellML, you will lead a dynamic team of machine learning scientists and engineers focused on deriving biological insights from diverse data modalities collected at scale. This includes live and fixed microscopy imaging and various omics assays (such as scRNA, proteomics, and spatial). You will collaborate closely with our laboratory leaders to co-create the next generation of high-throughput perturbation cellular assays, including Optical Pooled Screening, live-cell staining imputation, Perturb-seq, and more. Additionally, you will work alongside our therapeutic area leaders to design impactful experiments and analyze data to enhance our therapeutic pipeline.Joining insitro means becoming part of a well-funded AI biotech company with a robust pipeline of therapeutic candidates and an expanding focus across various disease areas. We seek visionary leaders capable of fostering a culture that amalgamates science, machine learning, and engineering. This position reports to our Head of Compute and is a hybrid role, requiring presence at our South San Francisco headquarters at least three days a week.

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.

Join Veracyte as a Senior Computational Development Scientist, where you will play a pivotal role in our mission to transform patient care through innovative genomics. In this remote position, you will leverage cutting-edge computational techniques to analyze complex genomic data, contributing to groundbreaking discoveries in cancer diagnostics.

About UsDeep Apple Therapeutics, a dynamic biotechnology firm within the Apple Tree Partners (ATP) portfolio, is located in the heart of the Bay Area. Our mission is to revolutionize drug discovery by leveraging advanced molecular docking and structural biology techniques. By utilizing cutting-edge computer-aided drug design technologies and a state-of-the-art research platform, we are committed to accelerating the development of innovative therapeutic solutions.Role OverviewWe are in search of a seasoned and innovative leader to take on the role of Head of Computational Chemistry. This pivotal position involves directing our computational initiatives for virtual hit discovery. Reporting directly to the Head of Drug Discovery, you will lead a talented team of computational chemists, data scientists, and machine learning engineers, enhancing our drug discovery pipeline through the integration of advanced deep learning models. Your leadership will be critical in refining our virtual screening capabilities, optimizing molecular design, and fostering cross-functional collaborations to transform computational insights into effective therapeutic leads. We seek a candidate with a minimum of 10 years of experience in computational modeling, particularly in applying deep learning techniques to drug discovery.Key ResponsibilitiesGuide and mentor a diverse team in creating and optimizing computational chemistry workflows for virtual hit discovery, including both ligand-based and structure-based modeling.Develop and implement deep learning models (including generative AI for molecule design) to accurately predict molecular properties, binding affinities, and ADMET profiles.Oversee the integration of high-throughput virtual screening platforms, utilizing extensive datasets and cloud computing resources (AWS and Google Cloud).Work collaboratively with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops.Lead strategic initiatives, forming partnerships with academic institutions, technology companies, and CROs to bolster our AI-driven discovery capabilities.Stay informed about emerging technologies in computational chemistry and deep learning, incorporating these advancements into our workflow to maintain a competitive advantage.Manage project timelines, budgets, and resources, ensuring compliance with data integrity and intellectual property standards.

About Us: Calico Life Sciences LLC, a research and development organization backed by Alphabet, is dedicated to advancing our understanding of the biological mechanisms governing human aging. Our mission is to leverage cutting-edge technologies and sophisticated model systems to create interventions that promote longer, healthier lives. At Calico, we foster an environment of curiosity-driven scientific exploration, collaborating with academic and industry partners to accelerate medical breakthroughs. Position Overview: We are on the lookout for a Senior Machine Learning Scientist/Engineer to innovate and implement machine learning algorithms aimed at modeling and designing proteins. In this role, you will collaborate closely with a team of experienced experimental biologists to design experiments that test and refine our machine learning predictions iteratively. The ideal candidate will possess a deep understanding of contemporary machine learning methodologies, including language and sequence modeling, representation learning, generative models, and self-supervised learning techniques. You should have a proven track record in implementing, enhancing, and debugging advanced machine learning models, alongside expertise in building robust data infrastructures and tools. We seek a proactive, self-driven individual eager to explore the latest ML literature and apply innovative solutions to protein design challenges at Calico. Strong communication skills are essential, as you will need to effectively share your findings through publications and presentations and collaborate across teams to navigate complex projects.

Veracyte, a leading genomic diagnostics company, is seeking an Associate Director of Computational Development to join our innovative team. This role is pivotal in driving our computational strategies and enhancing our bioinformatics capabilities. You will work remotely, contributing to exciting projects that advance our mission of improving patient outcomes through precision medicine.

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.

Role overview insitro is hiring a Senior Machine Learning Scientist for its Computational Biology team in South San Francisco, CA. This group analyzes cellular aspects of in-vitro biology to support drug development. The work focuses on linking biological phenotypes to human diseases and translating those connections into insights for therapeutic discovery. What you will do Develop and improve machine learning methods for biological data analysis in areas such as network analysis, systems biology, graph-based modeling, causal structure learning, single cell omics, or imaging. Analyze high-throughput phenotypic screens and help create disease-relevant cell models. Work closely with experimental and computational biologists and other ML scientists to identify new phenotypes and design screening approaches. Integrate and interpret varied data types, including human cohort data, to uncover insights into disease mechanisms. Maintain high standards of scientific rigor and best practices in tool and analysis development. Report to the Head of Computational Biology and ML-Omics. Requirements Significant experience developing machine learning methods for biological data. Background in one or more of: network analysis, systems biology, graph-based modeling, causal structure learning, single cell omics, or imaging modalities. Strong analytical skills for complex, high-dimensional datasets. Ability to collaborate across scientific disciplines. Dedication to scientific rigor and high-quality research. Available to work on-site at least three days per week in South San Francisco. Why join insitro At insitro, team members work alongside talented colleagues in a biotech startup environment. The company values contributions that help shape both culture and strategic direction. This position offers the chance to expand skills and make a meaningful impact in drug discovery, with the potential to improve patient lives.

About Us Calico Life Sciences LLC, founded by Alphabet, is a pioneering research and development organization dedicated to advancing our understanding of the biological mechanisms that govern human aging. Our goal is to leverage cutting-edge technologies and innovative model systems to develop groundbreaking interventions that empower individuals to live longer, healthier lives. Our vibrant research labs foster a culture of curiosity-driven discovery and collaboration with both academic and industry partners, creating a dynamic environment for medical breakthroughs. Postdoctoral Fellowship Program We invite passionate early-career scientists to join our mission of exploring the biology of aging. This fellowship provides a unique platform for researchers to excel in the field of aging research, enhancing their scientific expertise while cultivating research independence. The Postdoctoral Fellowship is a three-year fixed-term educational opportunity, with the possibility of a fourth-year extension and flexible start dates. As a Postdoctoral Fellow, you will be fully integrated into Calico's labs and research community. The program aims to cultivate individuals into independent investigators in academia or industry after successful completion. You will receive ongoing mentorship and participate in a structured annual review process to assess your project progress and performance, along with career development coaching. Key Responsibilities Independent Research Leadership: Lead your own projects, exploring innovative and potentially high-risk avenues in research with dedicated resources. Contribution to Core Mission: Enhance our understanding of aging and age-related diseases. Scientific Advancement: Conduct experiments with precision, analyze data (including computational methods where applicable), and troubleshoot procedures as required. Publication of Findings: Produce research outputs expected to be submitted for publication in a timely manner upon completion of your fellowship. Collaboration and Communication: Engage actively with Calico's diverse teams and scientific community, presenting research progress and results to various audiences, including computational scientists, lab scientists, and engineers. Professional Growth: Participate in a community of fellow Postdoctoral researchers for collaboration and shared learning.

About Us:At Culture Biosciences, we strive to revolutionize bioprocess development, enabling our clients to expedite the market introduction of their biopharmaceutical products. Our innovative platform is dedicated to upstream cell culture process development, seamlessly integrating products, services, and data management for mammalian, microbial, and viral vector production processes. This enables our customers to execute high-throughput development projects in their own facilities or in our advanced service laboratories, driven by our accessible cloud-connected web application designed for experiment management and analysis.We are passionate about biomanufacturing, engineering, and operational excellence, and we foster an environment that values curiosity, effective communication, collaboration, customer focus, and a results-oriented mindset.The Opportunity:We are looking for a dynamic Technical Project Manager to join our R&D Engineering team. This pivotal role operates at the intersection of biology, hardware engineering, and cloud computing. You will lead cross-functional teams throughout the complete product development lifecycle to deliver cutting-edge bioprocessing tools.The ideal candidate will possess a unique combination of hardware intuition, software expertise, and an understanding of cloud infrastructure that supports modern laboratory automation and data analytics.Your Responsibilities:Manage the comprehensive delivery of intricate bioprocess systems that encompass electromechanical hardware, embedded firmware, and cloud-based control software.Supervise the design and implementation of cloud applications for device telemetry, remote monitoring, and extensive bioprocess data analytics in AWS/GCP environments.Facilitate collaboration among Hardware Engineers (sensors, fluidics), Software Engineers (IoT, Frontend/Backend), and Bioprocess Scientists to ensure alignment and fulfillment of technical requirements.Navigating the distinctive challenge of 'Hardware-Software Synchronicity'—merging short-duration agile sprints for cloud/software updates with the more extended Waterfall/Phase gate timelines for hardware development.Proactively identify technical hurdles and manage risks related to safety and regulatory compliance.Establish and maintain project schedules and deliverables to ensure timely completion.

Join Our Innovative TeamAt insitro, we are on a mission to revolutionize drug development. With a notable decline in the productivity of global drug discovery, we harness advanced machine learning techniques alongside cutting-edge technologies to address complex diseases that impact millions annually. Our goal is to fundamentally change the pace and effectiveness of how new treatments are identified and developed.We invite passionate and driven interns to become a part of our computing team as Machine Learning Scientists for the Summer 2026 cohort. This opportunity allows you to collaborate closely with a mentor to develop and implement machine learning methods, all while analyzing extensive datasets from various biological modalities over an immersive 11-12 week program.Our headquarters are located in South San Francisco, offering a hybrid working schedule or the possibility to work remotely, depending on team needs. As part of a diverse team, you will engage across numerous fields, including imaging, omics, statistical genetics, pan-modality therapeutic discovery, clinical research, and research software engineering.Areas of FocusComputational Biology: Utilize publicly available single-cell transcriptomics resources to derive insights into the disease mechanisms pertinent to our therapeutic areas.Omics & Imaging Data Methods: Innovate and deploy state-of-the-art ML approaches to integrate large-scale multi-modal phenotypic datasets.Statistical and Translational Genetics: Create workflows for post-GWAS analyses, including fine-mapping and deep dives into translational genetics to enhance gene exploration from our discovery initiatives.Integrative Phenotyping: Design ML models to infer disease-relevant phenotypes from high-content clinical imaging datasets, such as MRI and PET-CT.

About Us: Calico Life Sciences LLC, a pioneering research and development company founded by Alphabet, is dedicated to leveraging advanced technologies and modeling systems to deepen our understanding of the biology governing human aging. Our mission is to utilize this knowledge to create interventions that empower individuals to enjoy longer, healthier lives. With state-of-the-art technology labs, a firm commitment to curiosity-driven discovery science, and a dynamic drug-development pipeline in collaboration with academic and industry partners, Calico is an exhilarating environment for fostering medical breakthroughs. Role Overview: We are looking for a Senior / Staff Machine Learning Infrastructure Engineer to transform machine learning algorithms into practical applications and to construct a state-of-the-art computing and machine learning platform for analyzing biological datasets and modeling macromolecular sequences and structures. You will play a crucial role in a cross-functional initiative aimed at developing a premier computing and data analysis platform that underpins Calico's research endeavors through the following responsibilities: Develop and Optimize: Design and implement software infrastructure and tools that accelerate ML research, manage training and inference workflows, and streamline data ingestion and curation processes. Define Engineering Best Practices: Spearhead efforts to reorganize and refactor existing research codebases, enhancing code quality and reproducibility. Collaborate for Impact: Partner closely with our ML research scientists to deploy models that tackle critical questions in aging research and further Calico's mission. The ideal candidate will have extensive experience in designing, developing, and maintaining scalable and reliable ML infrastructure components, including data pipelines, model training and deployment systems, and monitoring tools. You should possess a proven track record of optimizing ML workflows for both performance and resource utilization, and remain updated on best practices in ML model management, versioning, and reproducibility. Effective communication and collaboration across functions are essential for executing complex projects successfully.

Join Amgen, a leading biotechnology company, as an Associate Software Engineer focused on our Scientific Platform and Computing initiatives. In this role, you will collaborate with a talented team to develop innovative software solutions that support scientific research and enhance our understanding of complex biological systems.

About ZiplineZipline is recognized as the world’s foremost autonomous delivery service, established with the mission to ensure equitable access to vital goods for everyone, anywhere, at any time. We create and manage the globe’s largest autonomous logistics system, facilitating the prompt and reliable delivery of critical supplies. Operating across four continents, we make deliveries every 30 seconds and have successfully completed millions of missions, delivering blood, vaccines, medical supplies, food, and commercial products. Our diverse clientele includes healthcare providers, governmental bodies, retailers, and renowned global brands that depend on us to save lives, minimize emissions, increase economic opportunities, and offer scalable logistics services.Our innovation extends beyond drones; we implement integrated logistics infrastructures that enhance supply chains, alleviate congestion, and enable instant delivery, fundamentally transforming the distribution of essential goods worldwide. With over 140 million safely flown autonomous miles, Zipline is revolutionizing access to healthcare, consumer products, and food across the globe.We operate on a global scale and seek practical problem solvers who excel in real-world challenges and rapid expansion. Our team is driven by the desire to build systems that make a direct, meaningful impact on people's lives while scaling the logistics landscape of the future.About You and The RoleAs we oversee the world’s largest autonomous logistics network—delivering essential medical and commercial goods globally with exceptional reliability, precision, and scalability—we are expanding into increasingly complex and safety-critical environments. The systems supporting our autonomy stack must be resilient, adaptable, and intricately integrated, particularly where perception and deployment converge.We are looking for senior and staff perception engineers to join our Droid team, which is responsible for the autonomy powering Zipline’s backyard delivery functionality. This team manages the entire spectrum of offboard and cloud-based perception systems that inform, validate, and enhance our onboard autonomy. Your contributions will range from generating detailed 3D and semantic priors from aerial survey data to understanding customer preferences and terrain characteristics at scale, ultimately defining how we prepare Zipline aircraft for mission-critical deliveries in complex, real-world settings.This role is not research-oriented; you will be expected to act swiftly, deliver production-ready systems, and creatively employ cutting-edge techniques to solve tangible, high-impact challenges.

We are seeking a skilled Technical Writer to join our dynamic team at Integrated Resources, Inc. This role involves creating clear and concise documentation that effectively communicates complex technical information to diverse audiences.The ideal candidate will have a passion for technology and possess the ability to translate intricate concepts into user-friendly materials. You will collaborate with engineers, product managers, and other stakeholders to gather information and produce high-quality documentation.

About Us: Calico Life Sciences LLC, founded by Alphabet, is a pioneering research and development entity dedicated to advancing our understanding of the biological mechanisms of human aging. Our mission is to leverage cutting-edge technologies and innovative model systems to create interventions that promote longer, healthier lives. With our state-of-the-art laboratories, commitment to curiosity-driven discovery, collaborative partnerships across academia and industry, and a dynamic drug development pipeline, Calico is an inspiring environment for driving impactful medical breakthroughs. Position Overview: The Cellular Models and Assay Technologies (CMAT) laboratory and the Microscopy group at Calico are in search of a highly skilled and driven bench Scientist to join our innovative teams. This position is at the forefront of spatial biology, concentrating on the intricate mapping of molecular environments involving proteins and protein complexes within both live and fixed cells and tissues. The ideal candidate will spearhead the creation and application of Laser Capture Microdissection (LCM) workflows integrated with various proximity biotinylation techniques to achieve exceptional resolution in multiomics experiments specific to cells and tissues. As a crucial member of our drug discovery and fundamental research initiatives, the successful applicant will play a significant role in identifying and validating novel therapeutic targets and biomarkers. This hands-on position necessitates a profound understanding of cell and tissue biology, biochemistry, microscopy, and image analysis, along with the capability to develop or adapt novel methodologies as required. We seek an independent, adaptable, and proactive scientist with outstanding communication skills who can effectively manage complex studies in a fast-paced environment.