Research Intern for Innovative Brain-Computer Interface

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.

At Merge Labs, we are at the forefront of research, aiming to integrate biological and artificial intelligence to enhance human capabilities, agency, and experience. Our mission is to pioneer revolutionary brain-computer interfaces that communicate with the brain at unprecedented bandwidths, harmonizing with advanced AI technology to ensure safety and accessibility for all users.About the TeamOur team is dedicated to constructing the most sophisticated interface to the brain, engaging with neurons on an extraordinary scale and speed. Achieving this vision requires cutting-edge engineering and a collaborative spirit. We are bringing together a diverse group of talented professionals from electrical engineering, mechanical engineering, mixed-signal IC design, materials science, systems engineering, and engineering physics. Our approach is grounded in fundamental principles, enabling us to create scalable technology through rapid prototyping, testing, and iteration.About the RoleWe are looking for a Mechanical Engineer to lead the design and packaging of our brain-computer interface systems, ranging from initial R&D prototypes to mass-produced wearable technologies. In this role, you will serve as a crucial link between electrical performance and physical design constraints, ensuring our products are both high-performing and user-friendly. This position requires extensive technical knowledge in the design and execution of integrated systems featuring high-performance electronics. You will transform concepts from initial sketches to production-ready designs while managing essential vendor relationships for fabrication and tooling, setting the benchmark for mechanical engineering excellence at Merge Labs.

Join our innovative team at Zyphra as a Research Engineer specializing in Brain-Computer Interface (BCI) Models. In this pivotal role, you will contribute to groundbreaking research and development initiatives in the field of neuroscience and artificial intelligence. Your expertise will help shape the future of communication between humans and machines, enhancing the quality of life for countless individuals.As a Research Engineer, you will be responsible for designing, implementing, and testing advanced BCI models, collaborating closely with a diverse team of scientists and engineers. Your work will play a crucial role in advancing our understanding of neural dynamics and their applications in technology.

At Merge Labs, we are pioneering research that merges biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our mission is to create innovative brain-computer interfaces (BCIs) that seamlessly interact with the brain at high bandwidth, integrate with cutting-edge AI, and ensure safety and accessibility for all users.About Our Team:Our Bio team is at the forefront of designing, constructing, and characterizing the biotechnologies essential for next-generation BCIs. We leverage molecular engineering, synthetic biology, and neuroscience, alongside advanced physical techniques such as ultrasound, to establish minimally invasive, high-bandwidth neuron connections. The Bio team is responsible for developing and validating our core molecular technologies, assessing their performance in both in vitro and in vivo environments, and showcasing their capabilities in animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most pressing challenges in biotechnology.About the Role:As a Protein Engineer at our BCI company, you will be instrumental in designing, building, and optimizing biomolecules that translate neuronal activity into comprehensible signals. Your contributions will facilitate precise modulation between cellular and machine languages.You will engage with a range of unconventional proteins—from innovative biosensors to membrane proteins and intricate multi-component assemblies. Utilizing your biophysical expertise and high-throughput experimental methods, along with close collaboration with our computational team, you will push the limits of these molecules' functionalities. Your work will lay the molecular groundwork for advanced brain-computer interfaces.Key Responsibilities:Design and Execute Protein Engineering Strategies: From rational design and computational modeling to directed evolution and combinatorial library approaches, you will create dynamic molecular systems with desirable traits.High-Throughput Protein Variant Characterization: Rapidly test and refine hypotheses by implementing and optimizing scalable workflows from library generation to expression in various in vitro systems and conducting both standard and custom assays.Collaboration with Computational Team: Work closely to develop models that correlate sequences and structures to functional properties.

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 animal tests and outdated in vitro assays. We seek an innovative computational biologist who excels at the convergence of high-dimensional data analysis, cellular biology, and machine learning. Collaborating with a premier team of scientists and engineers, you will develop predictive models based on imaging and functional biochemical data, providing insights that influence real-world drug development. This role is ideal for those passionate about transforming biological signals into actionable insights, designing innovative assays, and partnering with leading pharmaceutical companies to accelerate safer and more human-centric drug discovery.What We Seek:We are eager to hire individuals who inspire us and challenge us to excel. You will elevate the entire team with your vibrant energy and profound sense of purpose. We look for candidates who possess a refined sense of priority, a keen eye for necessity, and an unwavering commitment to action. A deep-seated curiosity about all aspects of Axiom and an ambitious drive should fuel your enthusiasm for our mission. You must be a technically proficient and dedicated expert in your field, driven by the challenge of tackling complex scientific problems and contributing to a generational company.Your Responsibilities:Lead the exploration and analysis of extensive multimodal toxicity datasets.Convert complex, high-dimensional biological data into clear, actionable insights by identifying key signals.Discover novel biological signals that distinguish safe drugs from toxic ones.Perform comprehensive error analyses on machine learning models to clarify the biological insights captured by algorithms.Develop innovative algorithms that bridge computation and biology to model unexplored biological mechanisms.Examine diverse biological systems including liver, heart, kidney, and immune tissues to enhance drug safety assessments.

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.

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.

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.

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.

Role Overview LatchBio is hiring a Bioinformatics Engineer focused on Single-Cell AI in San Francisco. This role centers on applying artificial intelligence to single-cell genomics data, with the goal of advancing personalized medicine. What You Will Do Analyze single-cell genomics datasets using AI methods Work with teams from different scientific backgrounds to build bioinformatics solutions Help uncover new insights into complex biological systems

Summary: Join Interface as a Founding Engineer! We seek versatile engineers (ML, data, full-stack) who are driven, innovative, and eager to make a difference. If you're ready to challenge the status quo and build impactful solutions, we want you on our team! Your Profile:Make swift, informed decisions with a focus on outcomesProactively address issues before they escalateFluent in our technology stack (TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, React Native, etc.)Have a proven track record of building functional productsThrive in fast-paced environmentsYour Responsibilities:Engage with users/customers to understand their experiences, challenges, and requirementsDesign robust systems utilized by thousands at billion-dollar enterprisesDevelop autonomous data pipelines for auditing large volumes of documentsEnsure scalable infrastructure managementDeliver quickly – our mantra is progress over perfection.Important Insights:Collaborate directly with the founding team and customersUser needs take precedence over flashy featuresThe team works six days a week in our San Francisco officeEnjoy working in SF: vibrant atmosphere, pleasant weather, and access to the best tech ecosystem in the world Additional Information:We welcome applications from around the globe.We offer competitive compensation, substantial equity, and the chance to influence our early team dynamics.$3,000 referral bonus for successful hires.About Interface: We are pioneers in autonomous safety solutions for the industrial sector, focusing on error detection and correction in industrial documentation. Our AI-powered platform aims to automate compliance tasks across various domains. You will leverage cutting-edge technologies at the crossroads of LLMs, computer vision, and data frameworks to redefine industry standards.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

Join AbbVie, a global biopharmaceutical company, as a Scientist I in our Biologics Drug Substance Development team, focusing on Cell Culture Development. In this role, you will contribute to the development of innovative therapeutic solutions that improve patient outcomes.

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.

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

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.

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.

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.