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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf82e408-47b"},"title":"Scaling Experiments for AI-designed Medicines","description":"<p>At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, interdisciplinary team.</p>\n<p>Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.</p>\n<p>We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.</p>\n<p>Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application</p>\n<p>Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location</p>\n<p>Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows</p>\n<p>Compensation $245K – $305K + Bonus + Equity</p>\n<p>What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning &amp; 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In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo&#39;s patient experience strategy</li>\n<li>Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.</li>\n<li>Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team</li>\n<li>Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations</li>\n<li>Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.</li>\n<li>Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact</li>\n<li>Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years professional experience in data science, product analytics, or data engineering</li>\n<li>1+ years professional experience working in healthcare, consumer health, or high-touch consumer products</li>\n<li>Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack</li>\n<li>Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis</li>\n<li>Passionate about improving maternal health outcomes and creating exceptional patient experiences</li>\n<li>Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems</li>\n<li>Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert</li>\n<li>A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences</li>\n<li>Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)</li>\n<li>Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications</li>\n<li>Background in healthcare AI, clinical decision support, or medical NLP</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f421360-4eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pomelo Care","sameAs":"https://www.pomelocare.com/","logo":"https://logos.yubhub.co/pomelocare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pomelocare/jobs/5970852004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","data science","product analytics","data engineering","healthcare","consumer health","high-touch consumer products","product prototyping","A/B testing","user behavior analysis","data visualization","dashboarding tools","modern data stack tools"],"x-skills-preferred":["AI model development","fine-tuning","prompt engineering","model evaluation","production AI applications","healthcare AI","clinical decision support","medical NLP"],"datePosted":"2026-04-18T15:57:12.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"SQL, Python, data science, product analytics, data engineering, healthcare, consumer health, high-touch consumer products, product prototyping, A/B testing, user behavior analysis, data visualization, dashboarding tools, modern data stack tools, AI model development, fine-tuning, prompt engineering, model evaluation, production AI applications, healthcare AI, clinical decision support, medical NLP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae111ec0-92d"},"title":"Physics Tutor","description":"<p>As an AI Tutor - Physics Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.</p>\n<p>You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced physics fields to drive significant improvements in model performance.</p>\n<p>This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.</p>\n<p>This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Solve problems that help drive innovation in physics by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.</li>\n<li>Choose problems from various fields across physics that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.</li>\n<li>Regularly interpret, analyze, and execute tasks based on given instructions.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in physics or a highly related field.</li>\n<li>Expertise in one or more subdomains of physics, including but not limited to: condensed matter physics, high energy physics, nuclear physics, atomic/molecular/optical physics, quantum computing and information, computational physics, mathematical physics, and interdisciplinary physics (such as biophysics).</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources, databases, and online resources is essential.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>Strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Advanced expertise in physics, demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.</li>\n<li>Previous AI Tutoring experience.</li>\n<li>Teaching experience (as a professor, teacher, or tutor).</li>\n<li>Experience in technical writing, journalism, or a professional writing setting.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae111ec0-92d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4925832007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["physics","AI technologies","specialized software","annotation tools","data curation","AI model development","research in specialized areas","scientific discovery and application"],"x-skills-preferred":["advanced expertise in physics","AI Tutoring experience","teaching experience","technical writing experience"],"datePosted":"2026-04-18T15:47:33.586Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"physics, AI technologies, specialized software, annotation tools, data curation, AI model development, research in specialized areas, scientific discovery and application, advanced expertise in physics, AI Tutoring experience, teaching experience, technical writing experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5b743bb-d8f"},"title":"Product Manager, AI Platforms","description":"<p>The AI Platform Product Manager will drive the strategy and execution of Shield AI&#39;s next-generation autonomy intelligence stack. This PM owns the product vision and roadmap for the Hivemind AI Platform, ensuring we can manufacture, govern, and field advanced world models, robotics foundation models, and vision-language-action systems safely and at scale.</p>\n<p>This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI&#39;s strategic direction.</p>\n<p>This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>AI Model Development &amp; Training Platform</li>\n</ul>\n<p>Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.</p>\n<ul>\n<li>Data, Simulation &amp; Synthetic Data Factory</li>\n</ul>\n<p>Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation. Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.</p>\n<ul>\n<li>Safe Deployment &amp; Model Governance</li>\n</ul>\n<p>Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence. Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments. Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.</p>\n<ul>\n<li>Edge Deployment &amp; AI Factory Integration</li>\n</ul>\n<p>Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.</p>\n<ul>\n<li>Cross-Functional Leadership</li>\n</ul>\n<p>Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.</p>\n<ul>\n<li>User &amp; Customer Impact</li>\n</ul>\n<p>Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. 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