Principal/Director of Computational Biology

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 molec…

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through the creation of AI models that predict human toxicity more effectively than conventional animal tests and outdated in vitro assays.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 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.

Join Pinterest as a Principal Engineer for our Compute Platform, where you'll play a crucial role in driving the architecture and implementation of scalable systems that power our services. You will lead a team of talented engineers, guiding them in building innovative solutions that enhance our platform's performance and reliability.In this position, you will have the opportunity to collaborate with cross-functional teams, mentor junior engineers, and contribute to the development of best practices and high-quality code. If you are passionate about technology and eager to make an impact, we would love to hear from you!

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.

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!

OpenAI seeks a Director of Compute Finance FP&A based in San Francisco. This position oversees financial planning and analysis for compute operations, shaping how the company invests in and manages its technical infrastructure. Key responsibilities Direct forecasting, budgeting, and performance analysis for compute functions. Collaborate with engineering, operations, and leadership teams to support sound financial decisions. Offer strategic financial guidance as the organization adapts to rapid changes in technology. Align financial resources with OpenAI’s mission to develop AI responsibly and safely. Requirements Extensive finance experience and a strong grasp of technology operations. Ability to work effectively with both technical and non-technical colleagues. Experience leading in complex, evolving settings.

We are seeking a highly skilled and innovative Director of Machine Learning and Computer Vision to join our dynamic team at bobyard. In this pivotal role, you will lead the development and deployment of cutting-edge ML and CV technologies that drive our product strategy and enhance user experiences. Your expertise will be essential in guiding a talented team of engineers and data scientists to create impactful solutions.

Founded in 2015, Shield AI is a pioneering venture-backed deep-tech company dedicated to safeguarding both service members and civilians through advanced intelligent systems. Our innovative product lineup includes the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision. With a global presence spanning the U.S., Europe, the Middle East, and the Asia-Pacific, our cutting-edge technology actively supports operations worldwide. Learn more about us at www.shield.ai. Connect with Shield AI on LinkedIn, X, Instagram, and YouTube.The Director of End User Computing will oversee the global strategy and operational excellence of enterprise IT services, focusing on Service Desk, Asset Management, Platform Engineering, and Workplace Technology. This pivotal role is tasked with delivering a secure, scalable, and high-performing end-user environment that enhances business productivity while catering to the needs of executive and enterprise stakeholders.Success in this position is defined by a seamless employee technology experience characterized by low friction, high productivity, and robust satisfaction with the systems and tools utilized across the organization.As a senior IT leader, the Director will establish a comprehensive technical vision, operational standards, and service delivery frameworks across endpoint ecosystems, collaboration platforms, identity systems, and workplace technologies. The ideal candidate will possess extensive expertise in enterprise endpoint and identity platforms, demonstrate strong organizational leadership skills, and have a proven track record of building high-performing teams while advancing modernization, automation, and continuous improvement initiatives.

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.

Position OverviewAt Bobyard, we're pioneering solutions that tackle intricate computer vision challenges, enabling contractors to automate takeoffs and save countless hours on each project. Our mission revolves around developing advanced model systems that achieve performance levels at or exceeding human accuracy.With a high-performing team in place, we are tackling some of the toughest challenges in the field of applied computer vision. We seek a visionary leader to set the technical roadmap, ensure the team prioritizes high-impact projects, and enhance both execution speed and quality.This role is crucial for team growth — maintaining rigorous hiring standards and nurturing top-tier engineers. The expectation for this position aligns with the technical excellence of our strongest individual contributors.

Role Overview Sigma Computing is seeking a Senior Director of Engineering to guide our Core Product Engineering teams in San Francisco. This leader will oversee several groups focused on advancing our core data AI applications. Reporting to the Senior Vice President of Engineering, the Senior Director will shape both technology and team culture. What You Will Do Lead with a product-focused mindset while managing and developing people. Recruit, mentor, and grow team members to support Sigma Computing’s goals, building a culture where urgency and efficiency matter. Work closely with cross-functional partners to improve development practices and processes. Communicate project plans and progress clearly across the organization. What We Look For Deep understanding of building platforms that are simple for less-technical users. Over 10 years of engineering management experience with product teams, including at least 5 years leading organizations. Strong opinions and insight into product development. Curiosity and a drive to learn new technologies quickly. Exceptional technical architecture and engineering skills, adaptable to different technology stacks. Enjoyment in working with top engineers, product managers, and architects. Commitment to excellence, innovation, and pride in your work. Location This position is based in San Francisco, CA.

About Sigma Computing Sigma Computing offers an analytics and business intelligence platform built for the cloud. The platform enables business users to analyze and share insights directly from cloud data warehouses, without requiring SQL expertise. Sigma serves major enterprises and is backed by leading investors. Role Overview: Director of Strategic Partnerships The Director of Strategic Partnerships will lead Sigma's alliance with Snowflake, a central partner in the company’s ecosystem. This senior leader will drive co-selling efforts, expand joint business opportunities, and focus on revenue growth through the partnership. This position is based on-site in San Francisco or New York City and reports to the Senior Director of Partnerships. What You Will Do Shape and manage the overall Snowflake partnership strategy, setting priorities, investment areas, and go-to-market plans. Act as the business lead for the Snowflake relationship, holding responsibility for partner-influenced and attributed pipeline and revenue. Design and roll out scalable co-selling programs that drive demand and deliver measurable revenue. Lead joint business planning with Snowflake, including quarterly reviews and strategic assessments. Align Sigma sales teams with Snowflake account teams through training, playbooks, and collaboration on deals. Serve as the main escalation point for Snowflake-related deal strategies, executive connections, and partner conflict resolution. Develop and maintain trusted relationships across Snowflake’s Partner, Sales, and Field Leadership teams, influencing seller behavior during active deals. Lead cross-functional projects with Sales, Marketing, Enablement, and Operations to put partnership strategies into practice. Work with Marketing to run joint campaigns, events, and programs that support co-selling and pipeline goals. Monitor partnership performance metrics and report on results.

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.

Innovating Open Superintelligence InfrastructureAt Prime Intellect, we are pioneering the development of an open superintelligence stack, encompassing everything from advanced agentic models to the infrastructure that empowers anyone to create, train, and deploy them. By aggregating and orchestrating global compute resources into a unified control plane, we complement this with a comprehensive RL post-training suite: environments, secure sandboxes, verifiable evaluations, and our asynchronous RL trainer. Our platform facilitates researchers, startups, and enterprises to execute end-to-end reinforcement learning at an unprecedented scale, seamlessly integrating models into real-world tools, workflows, and deployment environments.Recently, we secured $15 million in funding (bringing our total to $20 million), led by Founders Fund, with contributions from Menlo Ventures and notable angel investors such as Andrej Karpathy, Tri Dao, Dylan Patel, Clem Delangue, Emad Mostaque, and many others.Your RoleIn the AI era, compute is the cornerstone of advancement. The companies, models, and capabilities that will define the next decade will be determined by access to computing resources, the terms of that access, the economic implications, and the allocation of these resources across various systems. The financial and operational frameworks for such a significant asset class are still under construction, and the strategies for navigating this landscape are yet to be established. The individuals who develop these strategies will influence the evolution of the AI infrastructure industry over the next decade.You will be responsible for establishing the analytical foundation that informs our understanding of global compute markets: pricing supply across different regions and contract lengths, modeling the economics of substantial GPU commitments, assessing neoclouds and hyperscalers, and translating this analysis into provider decisions, commercial structures, and customer-facing offerings.Your work will lie at the intersection of infrastructure, finance, and AI systems. You will tackle inquiries such as determining when an H200 cluster is preferable over a GB200 or GB300, analyzing how networking and storage limitations impact real workload performance, understanding how utilization assumptions affect the economics of multi-year commitments, and tracing how regional power, colocation, and capital costs influence GPU-hour pricing. You will assess providers not only based on headline pricing but also on delivery timelines, cluster architecture, reliability, support models, contractual risks, and their capability to handle frontier AI workloads.The decisions you contribute to will directly influence Prime Intellect’s capacity to deliver high-quality compute to researchers, AI labs, and companies leveraging our stack.ResponsibilitiesCompute EconomicsDevelop and oversee financial models that accurately price our compute supply: per-cluster...

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.

The biotechnology sector is transforming our world, influencing everything from the medicines we utilize to the agricultural advancements we witness. However, to keep pace with the rapid evolution of science, we need cutting-edge technology.At Benchling, our mission is to harness the full potential of biotechnology. The most pioneering biotech firms rely on Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market.Join us in revolutionizing modern science through advanced software solutions.ROLE OVERVIEWWe are a dedicated full-stack web application development team committed to crafting powerful and user-friendly tools that enhance various scientific workflows. Our work spans from designing DNA constructs and analyzing protein sequences to conducting gene editing experiments and modeling antibodies. We develop features that empower scientists to effectively plan, implement, and comprehend their research.We are seeking a seasoned manager to lead our Molecular Biology engineering team within the Scientific Modalities group. Ideal candidates will have demonstrated success in prioritizing customer needs and ensuring product excellence while formulating strategic roadmaps and overseeing team execution.

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.

Prime Intellect develops an open superintelligence framework, supporting advanced agentic models and the infrastructure needed to create, train, and deploy them. The company’s mission is to unify global computational resources under a single control plane, integrating a full reinforcement learning (RL) post-training stack. The platform includes secure sandboxes, verifiable evaluations, environments, and an asynchronous RL trainer. Researchers, startups, and enterprises use Prime Intellect to run end-to-end RL at scale, adapting models for practical deployment. Prime Intellect has raised $20 million in funding, including a recent $15 million round. Investors include Founders Fund, Menlo Ventures, and individuals such as Andrej Karpathy, Tri Dao, Dylan Patel, Clem Delangue, and Emad Mostaque. Role overview The Head of Compute leads all aspects of GPU resource management at Prime Intellect from the San Francisco office. This function covers sourcing, economics, contracting, and the strategic direction for compute resources, critical for model training, serving, and sales. Compute is both the company’s core product and the main constraint in the open AI ecosystem. The role exists to keep Prime Intellect and the broader open ecosystem competitive in a landscape where every major lab contends for the same GPUs. What you will do Direct sourcing and procurement of GPU resources for model training and serving Manage compute economics and contracts, balancing long-term commitments with spot market activity Shape Prime Intellect’s strategic position in the global compute market Identify and prioritize key geographic compute hubs and hardware generations for broad access Collaborate with research and engineering teams to design the compute layer for the open model ecosystem Build and maintain commercial relationships with neocloud providers and industry partners Secure early access to new accelerator hardware and develop the operational framework for sustained compute advantage Decide what to train, where, and under which cost structures What success looks like Modeling unit economics for multi-year GPU commitments as the market evolves Turning research needs into actionable compute strategies Negotiating significant contracts for reserved resources Working with neocloud leaders and internal teams to advance open post-training Location This position is based in San Francisco.