Computational Scientist in Biology

Charter:Join us as a pioneering member of a team dedicated to developing groundbreaking AI technologies aimed at replacing traditional lab and animal toxicity experiments with advanced AI models.About Axiom:At Axiom, we are revolutionizing preclinical safety through the creation of AI models that predict human toxicity more effectively than conventional anim…

At Merge Labs, we are pioneering the intersection of biological and artificial intelligence, aiming to enhance human potential, agency, and overall experience. Our innovative research focuses on creating fundamentally new brain-computer interfaces that provide high-bandwidth interaction with the brain, seamlessly integrate with advanced AI, and prioritize safety and accessibility for all users.Team OverviewOur Bio team is at the forefront of designing, constructing, and characterizing the biotechnologies essential for next-generation brain-computer interfaces. We utilize molecular engineering, synthetic biology, and neuroscience, along with advanced physical techniques such as ultrasound, to forge less invasive, high-bandwidth connections with neuronal structures. The Bio team is responsible for developing our core molecular technologies, validating their efficacy both in vitro and in vivo, and demonstrating their advanced functionalities through animal model studies. We thrive on collaboration, working closely with engineers and data scientists, and fostering interdisciplinary creativity to tackle some of biotechnology's most pressing challenges.Role OverviewIn the position of Scientist in Cell Biology, you will be tasked with engineering neurons and various cell types to express innovative molecular biosensors and actuators, assessing their roles in enabling cellular interaction with ultrasound. Your research will encompass the study of biosensor expression, localization, degradation, and their effects on cellular function and health. You will devise protocols for cell culture, analysis, microscopy, and interactions with physical energies such as ultrasound. Your contributions will play a critical role in advancing groundbreaking molecular technologies geared towards neural interfacing and accelerating their clinical application.Key ResponsibilitiesOptimize and maintain mammalian cell preparations, including cell lines, primary and iPSC-derived neurons, brain organoids, or brain slices.Collaboratively innovate and construct novel protein and genetic constructs to facilitate biosensing and/or actuating capabilities.Develop and execute cell engineering workflows, encompassing construct delivery, selection, and differentiation processes.Characterize construct functionality and assess cellular impact using techniques such as activity recording, microscopy, stimulation, flow cytometry, immunohistochemistry, and next-gen sequencing.Engage in collaborations with cross-disciplinary teams, integrating expertise from protein engineering, biochemistry, cell biology, neuroscience, and genetics.

About UsAt Verge Genomics, we are revolutionizing the drug discovery process by harnessing the power of artificial intelligence and a rich database of human data to tackle the major factors contributing to escalating drug costs—particularly high clinical failure rates. We have established one of the industry's largest collections of multi-modal patient molecular and clinical data, obtained directly from human tissue samples. Our talented team, comprising engineers, neuroscientists, and biologists, has successfully brought two drugs to clinical trials, identified 282 new therapeutic targets, and forged commercial partnerships exceeding $1.6 billion with major pharmaceutical companies such as Eli Lilly and AstraZeneca.Your RoleAs the Principal/Director of Computational Biology, you will report directly to the Head of Product & Engineering. Collaborating closely with Verge’s leadership and technical teams, your key responsibility will be to spearhead the Computational Biology initiatives, delivering valuable insights to our biopharma partners and clients that will inform their research and development strategies.Your Key Achievements in the Next 12 MonthsProduce two comprehensive insights reports (e.g., target characterization) for biopharma partners that will enhance existing partnerships.Innovate new methodologies to support product development, including patient stratification and biomarker discovery.Assess and benchmark the company's foundational models for translational tasks, aiming for superior performance compared to current standards.Collaborate with the Head of Business Development to expand Verge's proprietary datasets.Your ResponsibilitiesDerive biological insights regarding therapeutic candidates and disease biology through the analysis of diverse multi-modal datasets (including transcriptomics, genetics, and clinical data).Translate overarching business goals into actionable scientific work plans.Integrate various datasets to formulate and test hypotheses for target prioritization, mechanism-of-action elucidation, indication expansion, repositioning, biomarker identification, and patient enrichment.Communicate findings effectively to external stakeholders to influence pharmacological R&D decisions.Develop and validate metrics to assess the efficacy of AI models in translational applications.Interpret and analyze outputs generated by AI foundational models.Bridge the gap between biological insights and machine learning objectives.

About UsAt Latent Labs, we are at the forefront of developing advanced models that delve into the core principles of biology. Our ambitious pursuits are driven by curiosity and a steadfast commitment to scientific excellence. The team behind Latent Labs previously co-developed DeepMind's Nobel Prize-winning AlphaFold, pioneered latent diffusion technology, and created groundbreaking laboratory data management systems alongside high-throughput protein screening platforms. By joining us, you will collaborate with some of the brightest minds in the fields of generative AI and biology.We believe in fostering interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites are designed to cultivate a culture of trust between our London and San Francisco locations.We're on the lookout for innovators who are passionate about solving complex challenges and making a positive global impact. Be part of our monumental mission!Your RoleWe are excited to invite a Research Scientist to join our team, working at the intersection of generative AI and biology. The ideal candidate will have a solid background in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening techniques. You will collaborate with colleagues and work independently to develop and implement screening assays aimed at functionally testing and characterizing novel proteins generated through our proprietary models.This is a unique opportunity to contribute to an organization that advances artificial intelligence in addressing long-standing scientific challenges. A strong technical skill set, adaptability, organizational prowess, and exceptional communication abilities are essential, as is the capability to thrive both independently and as part of a dynamic, collaborative team.

What We Are Creating:At Medra, we are committed to harnessing the power of AI, robotics, and biology to expedite life science research, with the ultimate vision of eliminating diseases. We are in the process of developing our innovative Physical AI Scientist platform: A Physical AI capable of operating scientific instruments with remarkable human-level precision. A Scientific AI designed to autonomously analyze results, reason about subsequent steps, and complete the scientific loop.This is an ambitious endeavor, but we are confident that a team of dedicated individuals with a sense of ownership can achieve remarkable outcomes.Role Overview:As a scientist on our client-facing team, your primary goal will be to integrate closely with your scientific peers at our customer sites, acting as a true collaborator to ensure that the Medra platform is delivering scientific results and adding value to their organization. You will immerse yourself in the scientific needs of our customers, employing the scientific method (hypothesis formulation, experimental design, analysis) to validate the effectiveness of our Physical AI Scientist platform within their workflows. You will maintain continuous communication with our end users (scientists) to anticipate and address any challenges, while also relaying insights and feedback back to the company to inform product enhancements.Internally, you will collaborate closely with the engagement manager and deployed engineers to ensure a successful implementation. You will work alongside a distinguished team of robotics, software, and hardware engineers, providing scientific oversight throughout the scoping, building, and deployment phases. You will become a super-user of our platform, understanding its capabilities and constraints, and applying creativity and scientific intuition to tackle complex problems.We seek an individual who acts with urgency and thrives in high-pressure environments. This is a rare opportunity to leverage your expertise to effect transformative changes in drug discovery through artificial intelligence and robotics, offering significantly more exposure than traditional biotech or pharmaceutical roles.Key Responsibilities:Serve as the scientific subject matter expert - comprehend customer needs and provide biological insights to steer scoping, product development, and prioritization of features.Design and conduct wet-lab experiments to validate Medra’s autonomous Physical AI against scientific KPIs and metrics.Collaborate with cross-functional teams to ensure product alignment with scientific objectives.

Join Us in Revolutionizing Life Science ResearchAt Medra, our goal is to leverage artificial intelligence, robotics, and biological science to expedite research in life sciences, ultimately aiming to eliminate diseases. We are developing our Physical AI Scientist platform, which encompasses: Physical AI capable of manipulating scientific instruments with the dexterity akin to human hands. Scientific AI that autonomously analyzes results, evaluates subsequent steps, and completes the research loop.We are embarking on an ambitious journey, and we believe that a team of passionate individuals taking ownership can achieve remarkable milestones.Your Role in Our VisionAs a Scientist at Medra, you will spearhead the development and execution of antibody screening and characterization using our Physical AI platform. Your responsibilities will include supporting tissue culture operations, designing and conducting in vitro and cell-based assays for antibody candidates, and enhancing our lab capabilities through new assay formats and automated workflows.This position is ideal for someone who combines scientific acumen with practical skills—who has experience designing and implementing antibody characterization and functional assays in high-pressure environments and is excited by the prospect of transitioning hands-on expertise to an autonomous laboratory setting. You will collaborate closely with fellow scientists and roboticists to develop, validate, and operationalize assays on our platform.Key ResponsibilitiesDesign, execute, and analyze antibody screening and characterization campaigns from high-throughput primary hit triage to orthogonal confirmation.Develop and implement cell-based binding and functional assays using flow cytometry for characterizing antibodies, VHHs, and additional binder formats.Conduct biophysical characterization of antibody candidates, including SPR and BLI for assessing affinity and kinetics, and epitope binning—interpreting results to guide decision-making.Perform developability assays to evaluate manufacturability and risk factors—assessing thermal stability (DSF/DSC), aggregation and monomericity (HPLC-SEC), hydrophobicity (HPLC-HIC), polyspecificity/non-specific binding, and expression titer—assisting in candidate triage based on comprehensive characterization data.Maintain and engineer mammalian cell lines (e.g., Expi293, ExpiCHO, HEK293, CHO) and establish robust cell-based characterization and functional assays.

About NudgeNudge is on a transformative mission to harness advanced technology that interfaces with the brain to enhance human life. Our pioneering focus is on creating a cutting-edge, non-invasive ultrasound device capable of stimulating and imaging the brain with unparalleled resolution. This initiative integrates innovative hardware, software, and research methodologies to develop life-changing products that can eventually benefit millions, if not billions, of individuals.About the RoleAs a Research Scientist specializing in Cell Biology at Nudge, you will:Innovate techniques to characterize the mechanisms by which ultrasound affects neural tissue.Design and conduct in vitro experiments to assess the influence of ultrasound on cellular characteristics, activity, and plasticity.Optimize ultrasound parameters to enhance cellular activity and promote plasticity.Translate findings from in vitro studies to guide human neuromodulation research.About YouWe are looking for research scientists at various stages of their careers. Regardless of your level, you should possess:A PhD or postdoctoral experience in neuroscience, molecular/cellular biology, biomedical engineering, or a related field.Expertise in neural cell culture or slice methodologies, with a preference for human neural iPSC techniques.Experience in calcium imaging, functional imaging analysis, two-photon microscopy, or other advanced imaging techniques.Proficiency in electrophysiology, voltammetry, or other neural recording methodologies.A proven track record of significant technical contributions.A commitment to high integrity and ethical research practices.

At Merge Labs, we are at the forefront of research, dedicated to uniting biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our innovative approach focuses on developing revolutionary brain-computer interfaces that offer high-bandwidth interaction with the brain, seamlessly integrate advanced AI, and are designed to be safe and accessible for everyone.About the Team:Our Bio team is responsible for designing, constructing, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By integrating molecular engineering, synthetic biology, neuroscience, and cutting-edge physical methods such as ultrasound, we aim to establish less invasive, high-bandwidth connections with neurons. The Bio team is dedicated to developing our core molecular technologies, validating their performance both in vitro and in vivo, and showcasing their advanced capabilities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists to tackle some of the most challenging problems in biotechnology.About the Role:We are seeking a Senior/Principal Machine Learning Biophysicist to spearhead the creation of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks. You will build the molecular modeling foundations of the company from first principles, establishing tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics to elucidate function relationships. Over time, your contributions will help translate these frameworks into predictive models that expedite molecular engineering, guide experimental campaigns, and facilitate the discovery of highly functional molecules.Key Responsibilities:Develop the scientific and engineering framework for protein structure modeling and molecular dynamics, along with integrations into downstream ML frameworks.Collaborate with wet-lab scientists to establish realistic optimization objectives and encode domain-specific priors and constraints.Prototype modeling frameworks utilizing internal and public datasets; benchmark and validate performance.Make complex analyses accessible to non-domain experts through democratization of first-principles analysis.Lead the development of ML frameworks that explicitly incorporate first-principles priors.Stay abreast of the latest advancements in deep learning and molecular dynamics.

Charter:Join us as a pioneering member of our team dedicated to revolutionizing the field of toxicity testing through the development of precise AI systems that replace traditional lab and animal experiments.What We Seek:We are on the lookout for extraordinary individuals who not only inspire us but also challenge us to elevate our performance. Ideal candidates will infuse the team with energy and a sense of purpose, demonstrating a keen understanding of what truly matters. A sense of urgency, proactive problem-solving skills, and an insatiable curiosity about all aspects of Axiom are essential. We value technical excellence and a deep commitment to one's craft. Those who are driven by the thrill of tackling complex scientific challenges will find a rewarding environment here, as we strive to build a transformative company together.Your Responsibilities:Lead the creation of AI models to predict human clinical outcomes, analyzing performance to identify both successful and less effective applications.Work alongside machine learning researchers to develop advanced models for human clinical predictions.Oversee model usage, ensuring clarity, refinement, and continual enhancement.Clean, curate, and process extensive chemistry datasets encompassing a variety of unique compounds for model evaluation and training.Collaborate with leading drug hunters at Pfizer, Takeda, Gilead, Merck, and others to interpret model predictions and streamline decision-making processes.Devise innovative strategies to intelligently expand our experimental and molecular datasets, guided by data insights, ML performance, and real-world applications.Influence ongoing drug programs and contribute to reshaping the methodologies of top pharmaceutical teams in developing safe and effective medications.Help refine Axiom’s product offerings based on customer feedback and insights gained through engagement with leading drug hunters.Desired Expertise:Possession of an advanced degree in chemistry, cheminformatics, or computational chemistry, or relevant industry experience in drug discovery.

About Rezo TherapeuticsRezo Therapeutics is an innovative biopharmaceutical company dedicated to revolutionizing drug development. Our vision is to significantly enhance the success rate of drug discovery through a comprehensive, disease-agnostic network biology platform that transforms our understanding of human diseases and their treatments. We employ a unique, integrated strategy that merges genetics, proteomics, structural biology, and artificial intelligence to yield profound biological insights and to create novel therapeutic strategies. Situated in the vibrant Mission Bay neighborhood of San Francisco, Rezo enjoys proximity to UCSF, diverse urban amenities, and abundant outdoor recreational activities. We understand that our mission's success relies equally on our talented team and our scientific endeavors, which is why we are committed to fostering a collaborative, respectful, and diverse workplace where team contributions are as valued as individual accomplishments. If you are driven by team science and eager to dismantle barriers in drug development, we invite you to consider joining us!The OpportunityWe are seeking a Senior Scientist in Discovery Biology to join our esteemed Biology Team. In this pivotal role, you will collaborate with a multidisciplinary team of experts in genetics, proteomics, structural biology, and artificial intelligence to address complex biological challenges and develop groundbreaking therapies. This is an exceptional opportunity to apply your expertise in cancer biology to design and implement advanced cellular assays for target validation and compound screening. By joining Rezo at this exciting stage, you will have the opportunity to make a significant impact in a dynamic, collaborative setting.

Join Our Mission:Become a pivotal member of our innovative team dedicated to developing advanced AI systems for drug toxicity prediction, aiming to replace traditional lab and animal experiments.Your Ideal Qualifications:We seek individuals who not only inspire us but also challenge us to elevate our standards. We value high agency in our team members; those who recognize and act on what truly matters. We want passionate individuals engaged in unique hobbies or pursuits that showcase their depth and commitment. Your curiosity about Axiom's mission must be matched by an ambition to explore and contribute meaningfully. You should possess a strong technical foundation, with a relentless pursuit of excellence in your craft. The ideal candidate could thrive in a larger tech environment but chooses the rewarding challenge of our demanding work, seeking both the satisfaction of overcoming obstacles and the recognition that follows.About Axiom Bio and the Role:At Axiom, we are pioneering AI solutions for drug safety and toxicity assessment. Toxicity is responsible for nearly half of all drug development failures, and by addressing this issue, we aim to accelerate the process of bringing new medications to patients. A key component of our research involves understanding liver toxicity through biochemical analysis, where mass spectrometry plays an essential role. We are looking for a bioinformatician with mass spectrometry expertise who is eager to apply their skills towards eliminating animal testing and reducing clinical trial failures. Collaborate with our biology, machine learning, engineering, and lab teams to design experiments, troubleshoot assays, develop machine learning models, and transform complex biological data into actionable insights. This position is perfect for someone who thrives in a dynamic environment and seeks to make significant scientific advancements at the convergence of chemistry, AI, and human health.Key Responsibilities:Conduct comprehensive analysis of various biological mass spectrometry datasets, primarily utilizing LC-MS/MS and existing software tools.

Our MissionAt Altos Labs, our mission is to rejuvenate cellular health and resilience, reversing diseases, injuries, and the disabilities that can accompany life's journey.Learn more about us at altoslabs.com.Our ValueWe embody a singular Altos value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe recognize that diverse perspectives are essential for scientific innovation. At Altos, exceptional scientists and industry leaders collaborate to further our shared mission. We prioritize a culture of belonging, ensuring all employees feel valued for their unique contributions. Together, we are accountable for fostering a diverse and inclusive workplace.Your Contributions to AltosAs a Senior Project Manager, you will be integral in facilitating the planning, execution, and successful delivery of multiple interdisciplinary projects within the Institute of Computation (IoC). Your role will be pivotal in ensuring seamless cross-functional collaboration, operational efficiency, and effective progress tracking to propel Altos’ mission forward. This position offers an exciting opportunity to thrive in a fast-paced, innovative environment where teamwork and creativity lead to impactful outcomes.

Inductive Bio is a pioneering AI medicinal chemistry partner dedicated to revolutionizing drug discovery. We create innovative virtual labs that empower drug discovery teams to make informed decisions more efficiently throughout the entire DMTA cycle. Our advanced platform features Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI-driven medicinal chemistry assistant. In collaboration with Enamine, we provide library synthesis and direct-to-dose testing, seamlessly bridging the gap between computational design and experimental validation. Together, we fuel numerous small molecule and beyond-rule-of-five initiatives for our biotech and pharmaceutical partners.Beacon-1 has consistently excelled, securing 1st place in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing industry giants like Merck & Co and NVIDIA, as well as EMD Serono. Our efforts have garnered $30M in funding from notable investors such as Obvious Ventures, a16z Bio + Health, and Lux Capital, in addition to being awarded $21M from the ARPA-H CATALYST program to advance next-generation toxicity models.The RoleWe are in search of an experienced computational or medicinal chemist to join our dynamic Product Science team as a Product Scientist. In this pivotal role, you will be the primary scientific liaison for partner projects, leveraging your expertise in medicinal chemistry, computational chemistry, and DMPK to tackle complex molecular optimization challenges with an emphasis on dose-centric solutions. You will engage with a diverse array of small molecule modalities, therapeutic areas, and modeling obstacles.As a thought leader in the evolution of Inductive's platform, you will contribute to the enhancement of our predictive models and dose projection tools, as well as Indy, our AI medicinal chemistry assistant, drawing from your own experiences and insights gained from real-world partner programs. We seek an individual whose instincts regarding small molecule optimization are honed through extensive hands-on experience, and who is eager to utilize these instincts to shape products that empower drug discovery teams.Your Responsibilities:Partner-Facing ScienceCultivate and manage the scientific relationships with partner project teams across various modalities, including reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals.Organize and clarify complex program data. Analyze structure-activity relationships (SAR), discern the insights provided by the data, and proactively address inconsistencies before they lead to detrimental decisions.Steer medicinal chemistry strategies: determine what to synthesize, what to test, how to prioritize compounds for further development, and where to allocate synthetic resources. Identify potential liabilities early in the process and assist partners in constructing risk mitigation plans.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

Join our innovative team as a Senior Computational Biologist where you will collaborate with our Synthetic Biology Team to advance our mission in engineering biology.At Lever, we are redefining the recruitment process, providing cutting-edge hiring software utilized by industry leaders such as Netflix, Yelp, and Shopify. We take pride in being recognized as the #1 workplace in San Francisco and a top employer across the United States. Our commitment to nurturing our 'Leveroos' and fostering a people-first culture is paramount to our success.In this role, you will leverage your expertise in multiomics analysis to delve into complex biological datasets, generating insights that drive our synthetic biology initiatives. If you are passionate about creating advanced cellular systems and thrive in a dynamic startup environment, we want to hear from you!

Join Chai Discovery as an AI Research ScientistAt Chai Discovery, we are pioneering the development of advanced AI models aimed at revolutionizing molecule design and transforming drug discovery processes. Our dedicated team is passionate about reimagining how new cures are developed, ultimately aiming to save lives.Founded by a collective of leading researchers and seasoned Silicon Valley operators, our team has achieved groundbreaking milestones in AI applications for biology. Our founders have made significant contributions to protein language modeling and cutting-edge folding algorithms, and have successfully partnered with top pharmaceutical companies to implement AI solutions. We are proud to be supported by prestigious investors such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and more.Role OverviewAs an AI Research Scientist, you will engage in innovative research focused on computational modeling for biological applications. Our projects extend beyond protein structure prediction into actual therapeutic engineering, offering you the opportunity to advance the field of AI-driven drug design, alongside a team that embodies a balance of critical thinking and optimistic vision.Your ProfileWe are looking for a driven AI Leader with extensive research experience and a commitment to pushing boundaries in therapeutic design. The ideal candidate should possess:Research Expertise:A Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related discipline.A robust publication record in leading ML or life-science journals (e.g., NeurIPS, ICML, Nature Methods, PLoS Computational Biology, J. Chem. Inf. Model., etc.).Technical Proficiency:Fluency in Python and familiarity with deep learning frameworks.Experience in training and evaluating large models using protein, antibody, or small-molecule datasets, or demonstrable transferable ML skills.Experimental Design & Analysis:Ability to convert scientific inquiries into manageable modeling experiments.Competence in managing extensive biological or chemical datasets, deriving significant metrics, and presenting findings to varied audiences.Collaboration & Communication:A collaborative spirit, eager to work with cross-functional teams including wet-lab scientists, software engineers, and product leaders.

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.

Merge Labs is an innovative research laboratory dedicated to merging biological sciences with artificial intelligence to enhance human capabilities and experiences. Our vision centers around pioneering new paradigms in brain-computer interfaces, ensuring they operate at high bandwidth, integrate seamlessly with advanced AI technologies, and remain safe and accessible for all users.About Our Team:Our Bio team is at the forefront of designing, engineering, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By harnessing the principles of molecular engineering, synthetic biology, and neuroscience, alongside cutting-edge physical techniques like ultrasound, we aim to establish minimally invasive, high-bandwidth connections with neurons. The Bio team is responsible for developing our core molecular technologies, validating their efficacy in both in vitro and in vivo settings, and showcasing their advanced functionalities in animal models. We pride ourselves on creating tailored experimental setups and workflows while fostering close collaborations with engineers and data scientists to address the most pressing challenges in biotechnology.About the Role:As an Immunologist at Merge Labs, you will play a pivotal role in designing, constructing, and validating biological strategies aimed at achieving durable immune tolerance to novel proteins that are crucial for the development of less invasive brain-computer interfaces. Your expertise will be instrumental in characterizing immune responses and devising strategies that foster immunological tolerance, thereby laying the groundwork for next-generation molecular brain-computer interfaces.Your Responsibilities Include:Analyzing the immunogenicity of engineered proteins, establishing quantitative metrics and benchmarks for immune compatibility in relevant in vitro and in vivo experimental models.Scaling high-throughput immune characterization assays and workflows to facilitate rapid hypothesis testing and iteration.Working collaboratively with our computational and protein engineering teams to devise and implement strategies that enhance immunological tolerance towards molecular components of advanced brain-computer interfaces to optimize human compatibility.Taking technical ownership of projects from inception to execution, encompassing experimental planning, prioritization, documentation, and effective communication of results.

Join Our Team as a Computational Protein DesignerYour RoleLatent Labs is on the lookout for a talented Computational Protein Design Scientist to contribute to our innovative projects at the intersection of generative AI and synthetic biology. Collaborating closely with our Lead Computational Protein Designer, you will be integral to a team of scientists dedicated to the design and engineering of proteins tailored for specific functions. This position presents a unique opportunity to influence and expand an organization that harnesses artificial intelligence to tackle long-standing scientific challenges. Your expertise in computational methods and biochemical principles will be crucial in generating insights to enhance protein functionality, working in tandem with our machine learning and experimental units to ensure seamless integration of AI-generated designs and laboratory validation data.About UsAt Latent Labs, we're pioneering cutting-edge models that delve into the fundamentals of biology. Our ambitious team is driven by curiosity and a commitment to scientific excellence. Prior to launching Latent Labs, we were instrumental in the development of DeepMind’s Nobel-prize winning AlphaFold, the invention of latent diffusion, and the creation of groundbreaking lab data management systems and high-throughput protein screening platforms. Here, you will collaborate with some of the brightest minds in generative AI and biology.We emphasize interdisciplinary exchange, lifelong learning, and collaboration. Our team offsites are designed to cultivate a culture of trust across our San Francisco and London offices.We seek innovators who are passionate about solving complex problems and making a positive impact globally. Join us in our ambitious mission.

Merge Labs is an innovative research facility dedicated to uniting biological systems with artificial intelligence to enhance human capabilities, autonomy, and experiences. We are committed to this aim by creating groundbreaking methods for brain-computer interfaces that allow high-bandwidth interactions with the brain, integrate advanced AI systems, and ensure safety and accessibility for all users.About the TeamOur team at Merge Labs focuses on advanced techniques for brain interfacing at high bandwidth by developing pioneering technologies that merge biomolecular science, physics, neuroscience, and computational methods. The Bio team is responsible for creating our essential molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their capabilities in animal models. We build custom experimental frameworks, collaborate closely with engineers and data scientists, and engage in creative problem-solving across various disciplines.About the RoleAs a Scientist specializing in In Vivo Molecular Neurotechnology at Merge Labs, you will play a crucial role in advancing molecular biosensors and actuators for brain-computer interface technologies. Your responsibilities will include establishing experimental frameworks to optimize the delivery and functional expression of biomolecules in rodent models, assessing their tolerability and biological impacts, benchmarking their performance in neuroscience paradigms, and generating insights to inform the design of next-generation technologies. You will work collaboratively with molecular engineers, data scientists, and physical engineers to address challenges and innovate solutions. Your contributions will drive breakthroughs in neural interfacing technology, facilitating its clinical applications.Key Responsibilities:Lead and expand in vivo validation pipelines in rodent models for molecular biosensors and actuators, which includes gene delivery methods, surgical workflows, sensory and behavioral paradigms, and ex vivo characterization.Enhance delivery vehicles, administration techniques, and parameters to ensure robust, cell-type specific expression, while quantifying outcomes at both functional and molecular levels.Design and conduct in vivo experiments to evaluate the functional performance of biosensors and actuators in relevant neuroscience contexts.Collaborate with hardware engineers and platform teams to develop and construct custom setups incorporating novel imaging and modulation instruments.