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Job Description POSITION SUMMARY: The Clinical Laboratory Scientist analyzes specimens and maintains equipment in good operating condition. PRIMARY RESPONSIBILITIES: • Verify the proper specimen being analyzed and perform tests that need to be completed, • Analyze clinical laboratory specimens following the standard methods and procedures in an efficient manner with little to no errors, • Responsible for maintaining updated understanding and knowledge of methods performed in the lab, • Follows GLP (good laboratory practice): maintain clean and organized work space, • Completes training and other deadlines on time., • Go-to person when lead/supervisor is not available, • Train on specialized instructions for instruments/protocols (super users), • Recognizes and escalates equipment malfunctions; troubleshoots common errors, • Recognizes, documents, and escalates protocol deviations in lab to lead/supervisor, • Participates in the updating of departmental standard operating procedures and database to accurately reflect the current practices., • Ensures compliance with all regulatory agency requirements through proper documentation, • Performs quality control procedures to ensure accuracy of clinical data (if applicable) • Maintains equipment and instruments in good operating condition, • Communicates with team and other departments (including via e-mail), • Provides feedback on day-to-day schedule and tasks to lead/supervisor; offers suggestions/ideas for improvement, • Assists teammates in completing daily tasks, • Conducts himself/herself in a professional manner; acts as a role model/mentor to others, • Adheres to Departmental Expectations, • This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job, • Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire., • Must maintain a current status on Natera tra ining requirements. • Performs other duties as assigned. QUALIFICATIONS: • 1-2 years of experience as a Medical Technologist or equivalent in a clinical laboratory environment., • BS/BA degree (or equivalent) in Medical Technology, Biological Sciences, or related field, • Current California CLS license (Clinical Laboratory Science - Generalist) or CGMBS license (Clinical Genetics Molecular Biology Scientist) KNOWLEDGE, SKILLS, AND ABILITIES:, • Excellent interpersonal, communication, computer, troubleshooting, and pipetting skills., • Experience in Molecular Biology., • Excellent oral and written communication skills., • Word processing and data management skills. PHYSICAL DEMANDS & WORK ENVIRONMENT: • Duties typically performed in BSL-2 lab, • Standing or sitting for long periods of time may be necessary, • Duties may require working weekends and overtime Must be able to discern color visually [or be able to evaluate cellular morphology when applicable] and pass applicable screening assessment Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: * Long-term equity awards * Comprehensive health benefits (medical, dental, vision) * 401(k) with company match * Generous paid time off and company holidays * Additional wellness and work-life benefits Compensation Range $47.54—$59.57 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job Description Natera is seeking a highly skilled and innovative Staff Scientist to join our Molecular Biology Research Team. The Staff Scientist will conduct new product research to develop/refine methylation-based next-generation sequencing (NGS) technologies that advance Natera's oncology diagnostic capabilities. In this role, you will independently lead projects to design, prototype, and optimize novel NGS methods and collaborate cross-functionally to move concepts from ideation to implementation. A successful candidate must have a strong background in molecular biology and/or chemistry, substantial experience with NGS-based methylation detection, and a track record of successful research leadership in an industrial setting. Primary Responsibilities: * Lead and manage the development of innovative NGS-based diagnostic assays from feasibility through optimization. * Define project goals and plans with input from stakeholders and manage multiple project streams in parallel. * Independently design and execute complex laboratory experiments; analyze and interpret results to guide research direction. * Coordinate cross-functional efforts to meet milestones and collaborate closely with bioinformatics, statistics, and data science teams to ensure robust experimental design and data analysis. * Mentor and guide junior scientists while promoting scientific rigor and best practices. * Author high-quality protocols, technical reports, and study documentation. * Communicate progress regularly to stakeholders, including departmental meetings and senior leadership. * Contribute to risk management, strategy development, and continuous improvement of scientific workflows. Qualifications: * Ph.D. in molecular biology, genomics, or a closely related field. * Minimum 8 years of relevant industry experience, or 2+ years postdoctoral research with 6+ years in industry. * Proven experience in designing and advancing NGS-based diagnostics, preferably in the field of oncology. Knowledge, Skills, and Abilities: * Extensive hands-on experience with NGS platforms, including sample prep, library prep, target enrichment (e.g., multiplex PCR, hybrid capture), and sequencing. * Strong understanding of molecular biology techniques related to DNA/RNA manipulation and epigenomics/methylation detection. * Proficient in statistical analysis tools such as Excel, JMP, R, or Python; familiarity with bioinformatics workflows is a plus. * Ability to translate complex biological questions into actionable experiments and scalable solutions. * Experience writing study plans, SOPs, and detailed reports. * Excellent organizational, communication, and time management skills. * Demonstrated ability to lead projects and contribute strategically to a team-driven research environment. * Up-to-date knowledge of developments in oncology and genomic technologies. Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: * Annual performance incentive bonus * Long-term equity awards * Comprehensive health benefits (medical, dental, vision) * 401(k) with company match * Generous paid time off and company holidays * Additional wellness and work-life benefits Compensation Range $157,300—$196,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionBusiness Development Representative - AI Co-Scientist PlatformPerfect for New Graduates with Biology or Related Science Backgrounds About Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes Why This Role is Perfect for New Science Graduates This is your chance to bridge the gap between cutting-edge science and real-world impact. You'll use your scientific background to communicate with leading researchers while building essential business skills that will accelerate your career. Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. As a new graduate, you'll get unparalleled exposure to how biotech companies operate, from early-stage startups to Big Pharma R&D teams. You'll initiate conversations with the same caliber of scientists you've studied under, uncovering critical pain points in drug discovery and opening doors to breakthroughs that could lead to life-saving therapies. What You'll Do Core Responsibilities: * Research and identify high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) * Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—using your scientific background to speak their language * Qualify inbound leads and schedule meetings for our sales and science teams * Collaborate with founders and commercial leadership on messaging optimization and market expansion What We're Looking For Educational Background: * Bachelor's degree in Biology, Biochemistry, Molecular Biology, Genetics, Bioinformatics, or related life sciences field * Master's degree preferred (MS, PhD candidates welcome) Core Skills & Attributes: * Exceptional written and verbal communication skills with ability to translate complex scientific concepts for diverse audiences * Strong research abilities and scientific curiosity * Comfortable with ambiguity and rapid iteration in a startup environment * Active listening skills and ability to identify genuine scientific pain points Mindset: * Intellectual curiosity about the intersection of science, technology, and business * Persistence and resilience—essential for both scientific research and business development * Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline * Desire to make a meaningful impact on drug discovery and patient outcomes What You'll Gain Professional Growth: * Transform your scientific knowledge into business acumen * Front-row seat to AI transformation in drug discovery * Competitive base salary designed for new graduates * Performance-based commission structure with significant upside potential * Work alongside elite scientists, engineers, and commercial professionals * High-autonomy, results-driven culture that values scientific rigor * Beautiful SF office with in-person collaboration and mentorship

Job DescriptionAbout Violet Research Institute Violet Research Institute (VRI) is building the future of personalized medicine for patients with genetic diseases. We're at the frontier of a new era in medicine — one where treatments can be designed for individual patients based on their unique biology. Recent breakthroughs in science, engineering, and regulatory pathways have made this possible, but much of this work remains nascent and distributed across disparate efforts globally. We're unifying, refining, and scaling these efforts into a cohesive platform. For each patient we serve, we deeply understand their biology, then design and manufacture a targeted treatment that can be delivered in months instead of years. We combine the urgency and execution mindset of a startup with the mission-driven openness of a nonprofit, allowing us to collaborate broadly and move quickly on behalf of the patients we serve. We've brought together leading researchers, engineers, and organizations across omics, therapeutic design, manufacturing, clinical care, and AI to move from insight to action as quickly as possible. VRI is founded by the family of our first patient, Violet, and is led by Michael Buckley, Siranush Babakhanova and Steve Turner. Our team is deeply cross-disciplinary and first-principles driven. We value builders, experts, and generalists who are excited to work across domains, challenge conventional approaches, and increase access to personalized medicine. The Role Our founder, scientific lead, and a small senior team are spending too much time on coordination instead of judgment work. We need someone senior enough to design the operating system across our programs, hold CROs and vendors accountable, run cross-functional rhythms, and own the data and decision infrastructure end to end. Said directly: we need more people who can manage, not more people to manage. This is not a project coordinator role. The successful candidate will design systems, set standards, and direct junior staff and CROs. They will not hand-organize raw assay data. They will decide how raw assay data must be organized, by whom, and by when, and enforce it. What you will own • Decision and to-do system across programs. A single source of truth for what is being done, by whom, by when, why, and what comes next., • Data infrastructure and standards. Repeatable formats for raw assay data, ASO design files, in vitro and in vivo readouts, and CRO deliverables. You direct the bioinformatician and a junior data hire to execute against those standards., • CRO and vendor program management. WuXi, Synoligo, ChemGenes, n-Lorem, and a growing roster. Schedules, deliverables, QC of incoming data, escalation when timelines slip., • Screen and study orchestration. Partner with the lead scientist on ASO screen plans (target panels, controls, replicates, readouts), confirm vendor compatibility, and prevent avoidable rework., • Audit the current operating model across SYT1 ASO 1, ASO 2 screen, the cocktail program, and the siRNA exploratory work. Tell us what is broken., • Stand up a single program tracker and decision log that the founder, lead scientist, and senior advisors actually use., • Define the raw-data standard for assay outputs (knockdown, off-target, tox, PK readouts) and have it adopted across at least two CROs., • Take ownership of the next ASO 2 screen plan from a process standpoint, partnered with the lead scientist on scientific design., • Identify the one or two operational gaps that, if closed, save the most senior-team time, and close them.QualificationsRequired, • 10+ years in drug discovery or development operations, with at least 3 years in a leadership role at a biotech, CRO, or academic translational program., • Direct experience running oligonucleotide, siRNA, gene therapy, or comparable preclinical-to-IND programs end to end., • Track record of building operational systems from scratch in a small organization., • Comfort directing senior PhD scientists without being one. Credibility comes from clarity, not titles., • Vendor and CRO management at the level where you have caught a CRO doing something wrong and made them fix it., • Bias toward written, structured, async communication. Decisions captured in writing. Status visible without a meeting., • Comfort working where the founder and lead scientist will challenge premises, including yours, and expect the same in return.Preferred, • Familiarity with bDNA / QuantiGene, ddPCR, qPCR artifacts in nucleic acid quantification, and CNS ASO tox readouts., • Experience inside a small biotech, founder-led nonprofit or intensely mission driven organization., • Working knowledge of cloud data infrastructure (GCP, AWS) and basic familiarity with bioinformatics workflows.Behavioral Essentials, • Execute independently from loosely specified tasks — you are self-directing, not waiting for a detailed brief, • Ask for help only when truly blocked, communicating clearly what is needed and what you have already tried, • Thrive in early-stage, ambiguous, high-pace environments where the path is built as you walk it, • Mission-driven with genuine, active care for patient impact (a daily operating principle at VRI)Disqualifying signals, • Career is primarily process for the sake of process. You cannot point to a scientific decision your work changed., • You expect the science team to come to you with structured tickets. They will not. You design the intake.

We are seeking a Principal Data Scientist to lead the research and creation of multimodal AI (MMAI) models and workflows that integrate genomic, transcriptomic, imaging, and clinical data for various oncology applications. This role is critical to advancing the science and technology of MMAI, driving innovation in predictive modeling to benefit patient outcomes, and supporting product strategy through rigorous hypothesis-driven research. The Principal Data Scientist will report to the Senior Director of Computational Biology and collaborate closely with cross-functional teams including Discovery, Bioinformatics and Data Science, Cloud Ops/Engineering, Pathology, Medical, and Clinical Affairs. Based in the R&D division, this role supports our mission to discover, develop, and deliver the best diagnostic, prognostic, and predictive tests to transform cancer care for patients all over the world. Position can be remote (within USA or Canada), on-site (South San Francisco or San Diego), or hybrid. • Lead research into novel MMAI models while closely collaborating with other machine learning experts across the computational team on strategy, study design, cohort selection, data acquisition, and data generation., • Architect, train, and validate MMAI models integrating modalities including genomics, transcriptomics, whole-slide imaging (e.g. H&E tumor tissue slides), and clinical features for cancer prognosis, risk stratification, diagnosis, and therapy selection., • Drive proof-of-concept and feasibility projects from definition through model development, benchmarking, interpretation, and dissemination of results., • Design and implement pipelines for ingesting, harmonizing, and integrating diverse data modalities (including whole-slide images, RNA-seq, WGS, clinical metadata)., • Work closely with wet lab scientists, bioinformatics/data science teams, medical/clinical/pathology teams, software/data/cloud engineers, and other cross-functional teams to ensure models are biologically interpretable and clinically applicable., • Prepare and present findings to technical and non-technical audiences, including conference abstracts and presentations, scientific publications, and internal reports. You are a creative, pragmatic leader with a passion for translating complex data into actionable clinical insights to improve management and outcomes of cancer patients. You thrive in multidisciplinary, fast-paced environments, welcome feedback, and are driven by scientific curiosity and rigor. You are comfortable navigating challenges, adapting to evolving priorities, and delivering results on time. MUST HAVE: • Ph.D. in bioinformatics, computational biology, genomics, biostatistics, computer science, or a related field applying quantitative computational methodologies to biological/clinical problems., • Minimum 8 years of relevant experience, with at least 5 years in an industry setting (biotech, diagnostics, or healthcare preferred)., • Demonstrated expertise in multimodal data integration, machine learning, and model development for NGS-based clinical diagnostics., • Strong programming skills in Python, R, and SQL., • Strong experience with cloud computing environments (AWS preferred)., • Deep knowledge of genomics, transcriptomics, digital pathology, and clinical data analysis., • Proven track record of technical leadership, project ownership, and successful delivery of high-impact R&D projects., • Excellent communication skills and ability to mentor and lead interdisciplinary teams., • Strong publication record in peer-reviewed journals, including first and senior authorship. PREFERRED: • Experience with advanced ML architectures (transformers, multimodal fusion, attention mechanisms)., • Familiarity with regulatory requirements (HIPAA, GDPR) and data governance in clinical research., • Experience with medical imaging analysis and cytopathology., • Knowledge of cancer biology, immunology, and clinical trial design. #LI-Remote #LI-Hybrid For candidates based in our San Diego office, the salary (or hourly range is $XX - $XX. For candidates based in our South San Francisco office, the salary or hourly range is $XX - $XX. For candidates working remote (US), the salary or hourly range is $XX - $XX.

DemandTec is the only AI-powered retail merchandising platform that unifies pricing, promotions, markdowns, and trade funds in a single connected system. With 25 years of demand science, 120+ retail banner customers, and 7,800+ CPG suppliers connected — the largest network of its kind in the industry — we sit at the center of how the world's leading retailers and consumer goods companies make their most consequential commercial decisions. We're in the middle of a deliberate transformation: from best-in-class point solutions to a fully integrated, AI-native decisioning platform. The era of siloed pricing tools and disconnected promotional systems is ending. Retailers need a single platform where price strategy, trade promotion, and markdown decisions are made coherently — informed by the same demand science, governed by the same rules, and increasingly executed by intelligent agents. That's what we're building. The Opportunity This is the role at the center of that transformation. We're looking for a Senior Product Manager to lead the next generation of DemandTec's Price and Promotion platform — not as two modules that happen to share a roadmap, but as a single connected decision system that fundamentally changes how retailers optimize their commercial position. The opportunity is substantial. Base pricing, trade promotion management, and the retailer-CPG collaboration layer connecting 7,800+ suppliers are all in active evolution. AI agents are replacing manual workflows. Real-time data pipelines are replacing batch decisioning. And the retailers that optimize price and promotion coherently — not sequentially, not in separate tools — will have a structural margin advantage over those that don't. Your mandate is to design and ship the platform that gives them that advantage. What You'll Own • Connected platform strategy and roadmap. Explicit ownership of the seams where pricing decisions meet promotional economics, and where retailer strategy meets CPG trade investment., • The AI-native transformation of the pricing and promotion workflow. Agentic decisioning, LLM-powered recommendation engines, real-time promotional optimization, and autonomous pricing agents that act on behalf of category managers., • The CPG collaboration layer. The product vision for how 7,800+ CPG suppliers interact with retail buyers — deal lifecycle, trade fund governance, offer negotiation, and the financial accountability layer underneath it all., • Success metrics that matter. Pricing effectiveness, promotional ROI, trade fund utilization, and the customer adoption signals that confirm the transformation is landing. What You'll Do • Define and drive product strategy for connected price and promotion optimization, aligned with DemandTec's AI-first transformation and the commercial outcomes our customers care about most., • Design agentic pricing and promotional workflows — autonomous pricing agents, real-time promotional scenario modeling, and AI-assisted recommendations that reduce time-to-decision for category managers., • Translate complex retail economics — price elasticity, cannibalization, halo effects, trade fund ROI — into clear product requirements, user stories, and acceptance criteria that Engineering can build from., • Partner with Data Science to develop and ship ML-powered forecasting, demand modeling, and optimization capabilities that are transparent enough for customers to trust and act on., • Work directly with retail and CPG customers to validate product direction, understand how pricing and promotional decisions are actually made, and ensure adoption of new capabilities., • Evaluate technical trade-offs and guide architectural decisions for AI-driven systems that must perform at enterprise retail scale — thousands of stores, millions of SKUs, 7,800+ supplier connections., • Lead go-to-market planning for major capability launches, including sales enablement, competitive positioning, and post-launch iteration driven by real adoption data., • 5+ years of Product Management experience shipping scalable B2B or enterprise SaaS products, with a track record of measurable customer and business impact., • Deep domain expertise in retail pricing optimization AND trade promotion management. You need fluency across both sides of the pricing-to-promotion lifecycle — not just one., • Strong command of retail economics: price elasticity, demand forecasting, cannibalization modeling, promotional effectiveness, trade fund governance. You can hold a technical conversation with a Data Scientist and a commercial conversation with a Category Director., • Proven ability to translate complex pricing and promotional challenges into precise product requirements and prioritized roadmaps in Agile environments., • Direct experience working with enterprise retail or CPG customers — understanding what decisions they're making, what's hard about making them, and what better actually looks like in practice., • Experience building or managing AI-native products, agentic systems, or LLM-powered decision workflows in a retail or CPG context., • Hands-on experience with trade promotion management platforms, retailer-CPG collaboration systems, or deductions and fund management workflows., • Familiarity with cloud-native architectures (Azure, AWS), microservices, and RESTful APIs — enough to evaluate technical trade-offs with Engineering., • Background in category management, pricing science, or demand planning at a retailer or CPG company., • MBA or advanced degree in a quantitative field: Economics, Computer Science, Statistics, or Operations Research., • Competitive Salary & Bonus: Annual discretionary, performance-based bonus, • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents, • Retirement: 401(k) with company match, • Time Off: Flexible PTO policy + 11 paid company holidays, • Remote-First: Work from anywhere in the United States; we're built for distributed teams, • Growth: Annual professional development opportunities for conferences, courses, and certifications, • Equipment: Choice of MacBook Pro or Windows PC, • Impact: Direct influence on a mission-critical platform used by leading global retailers

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re seeking a Data Scientist to join our Data & Analytics team within the Growth organization. This isn't a typical analyst role - you'll be the lead growth data scientist at Eight Sleep, owning complex forecasting challenges that directly impact our supply chain, marketing spend, and business growth. The ideal candidate has deep experience with time series forecasting, experimentation design, and translating ambiguous business problems into data-driven solutions. What You'll Build * Advanced demand forecasting models to solve our biggest operational challenge: eliminating stock-outs during peak periods (Black Friday, holidays) while avoiding overcommitting capital on inventory * Marketing spend optimization algorithms that go beyond our current Prophet model, incorporating seasonality, macro trends, and cross-channel effects to improve our CAC targeting * Experimentation frameworks for incrementality testing across our marketing channels (Meta, Google, YouTube) with proper statistical rigor * Marketing attribution models that handle our complex customer journey and multi-touch attribution challenges What You'll Need to Succeed * 5+ years of data science experience with demonstrable impact on business-critical forecasting and optimization problems * Forecasting expertise - you've built production models that handle seasonality, growth trends, and external factors. Bonus points if you've worked with Prophet and know its limitations * Strong experimentation background - you can design proper A/B tests, understand incrementality measurement, and have experience with marketing mix modeling * Advanced Python/R skills plus expert SQL - you'll be building production pipelines and complex models, not just ad-hoc analysis * High ownership mentality - comfortable with ambiguous problems and 60+ hour weeks during critical periods. This is a startup where your work directly impacts our trajectory * Business acumen - you can translate between technical solutions and business stakeholders (Growth, Finance, Operations teams) * Strong written and verbal communication - you can translate complex findings into actionable insights. Your written and verbal communication skills are excellent * High sense of agency - you are an independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility We will hire for this role anywhere in the US, but working hours will be EST. Note: Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location

Job Description Data Scientist San Francisco, CA Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals. We've found product-market fit with multi-million ARR, 100+ customers (including Amazon One Medical, Strive Health, Circle Medical, and Brightside Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity. About You We're looking for a data scientist who thrives in ambiguity and cares as much about getting the fundamentals right as building the next model. At Metriport, you won't be handed a clean dataset and a well-scoped problem — you'll be building the data foundation alongside our engineering team while applying science to some of the messiest, most impactful data in healthcare. * You're entrepreneurial-minded, with an olympian-level work ethic. * You are obsessed with data integrity. If a metric is off by 1%, it keeps you up at night until you find the root cause. * You believe that high-quality clinical data is the bedrock of excellent healthcare, and you're excited to work at the intersection of ML and patient records. * You have a strong sense of ownership and the ability to lead cross-functional initiatives with minimal direction. * You care about impact over sophistication. You'd rather ship a logistic regression that changes a workflow than a transformer that lives in a notebook. * You're excited to go wide. In a small team, the best data scientist is also a great analyst — and you see that as a feature, not a compromise. * You're a hacker at heart, and you're comfortable writing production-grade code to get the job done. What You'll Be Doing After quickly ramping up on our clinical data domain, your goal is to be the person who owns clinical intelligence within Metriport's stack — turning massive volumes of clinical records into predictions, insights, and automated decisions. Day to day, this looks like: * Applying AI/ML to Clinical Data: Building and deploying models to predict patient outcomes, identify gaps in care, or surface anomalies across our data warehouse. * Normalizing Clinical Data at Scale: Using NLP, LLMs, or rule-based systems to transform messy, unstructured clinical records into structured, searchable, trustworthy data. * Owning Analytics When It Matters: You'll share ownership of our analytics stack and data quality alongside the team. When a customer needs an accurate report or the team needs a reliable metric, you're just as accountable as anyone. * Productizing Intelligence: Designing and shipping data-science-powered features as core parts of the Metriport platform — not just internal experiments, but things customers use. * Building the Data Foundation: Contributing to data modeling, warehouse design, and tooling (dbt, DWHs, PostHog, etc.) as we scale our data infrastructure. Science without solid foundations is noise. * Team alignment: Participating in a daily 30-minute remote standup at 7:30 AM PST Mon–Fri (our only regular mandatory meeting). Requirements * 4+ years of experience in a data science role, ideally at a high-growth or startup company where you wore multiple hats. * SQL mastery: You can write complex, performant queries in your sleep. * ML/statistical modeling: Practical experience building and deploying models (classification, regression, clustering, NLP) — not just prototyping. * Coding proficiency: Strong in Python (pandas, scikit-learn, and ideally some experience with LLM APIs or frameworks). TypeScript proficiency is a plus — our stack is TypeScript-heavy. * Analytical chops: You're comfortable owning dashboards, data quality, and ad-hoc analysis. You see this as part of the job, not beneath it. * Location: San Francisco / Bay Area (or willing to relocate). Nice to Have * Experience with healthcare data is strongly preferred — FHIR, HL7, or clinical data. Understanding how a patient moves through the healthcare system is the core of what we do. * Experience with data modeling tools (dbt or similar) and product analytics platforms (PostHog, Mixpanel, Amplitude). * Experience integrating models into backend services or APIs (not just notebooks). Benefits * Competitive equity + compensation package 🚀 * Full family Platinum health insurance, dental, and vision coverage 🦷 * 401(k) retirement plan + matching 💰 * Flexible work from home or in-office 🏢 * Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) 🍏 * Quarterly company off-sites with the team ⛷️ * MacBook provided by us 💻 * Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘️‍♂️ Our tech Our data lives in PostgreSQL, DynamoDB, S3, Snowflake, and a FHIR server. We use dbt for transformations and Posthog for product analytics. Our infrastructure is managed via AWS CDK, and our core platform is written in TypeScript and Python. We are looking for a generalist who can jump into any part of this stack to extract value. Metriport provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Compensation Range: $160K - $190K

Job Description #TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors The Fraud Prevention organization at Nextdoor is dedicated to protecting neighbors from harmful content, fraud, and abuse, and ensuring that neighbors can safely build and participate in local communities on our platform. The team - which consists of Product, Engineering, Design, and Neighborhood Operations (NOPS) - helps develop policies, build detection systems, and deliver moderation tools at scale to keep our platform safe. We are seeking a Senior Data Scientist, Fraud Prevention, to help protect our users, platform integrity, and community experience by developing strong data foundations, robust metrics and measurement frameworks, and advanced analytics and modeling that improve harm prevention and detection and moderation effectiveness. In essence, this role is integral to high-impact, cross-functional initiatives that help inform and shape our strategy and execution. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make Design and Lead Key Analyses and Metric Evolution • Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends., • Conduct root cause analysis to diagnose safety incidents and emerging risks., • Evaluate new tool effectiveness (including AI), and impact on agent efficiency and user satisfaction., • Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy)., • Navigate the tradeoff between operational efficiency, safety, and user growth/experience., • Develop heuristics, statistical models, and machine learning solutions for proactive detection of abuse, fraud, or harmful content, • Build prediction systems (e.g., anomaly detection, risk scoring, behavioral profiling)., • Improve automated enforcement and moderation workflows., • Design and analyze experiments (A/B tests, causal inference) to measure safety feature impact (e.g., login & verification, AI moderation support). Clearly communicate findings to technical and non‑technical stakeholders., • Partner with Product, Engineering, Operations, Policy, and Legal teams to define safety strategy., • Influence decision-making through data storytelling and insights., • Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field., • 5+ years of Data Science experience working with large-scale data and statistical analysis, including 1+ year of data science experience in fraud prevention, moderation, or risk., • Strong analytical and problem‑solving skills, with a track record to lead projects from concept to impact., • Proficiency in SQL and at least one scripting language (e.g., Python or R)., • Expertise in experimentation and causal inference (A/B testing, cohort analysis, pre/post analysis) to evaluate product or policy changes in production environments., • Hands-on experience with standard Machine Learning and statistical methods (e.g., prediction, classification, anomaly detection, time series), ideally in risk or fraud prevention contexts., • Ability to collaborate cross‑functionally with Product, Engineering, Operations, and Legal/Policy partners; comfortable influencing without direct authority., • 2+ years of experience in fraud prevention, moderation, or risk in a social platform context., • Strong experience with anomaly detection and building/deploying machine learning models. Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $234,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities: * Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent * Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models * Develop robust evaluation frameworks to measure model alignment, safety, and output quality * Create and optimize data collection pipelines for human feedback and preferences * Design and conduct experiments to validate alignment techniques and their scaling properties * Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment * Mentor junior researchers and foster a culture of responsible AI development * Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models * Extensive experience implementing and optimizing large-scale training pipelines using PyTorch * Deep understanding of reinforcement learning techniques, particularly RLHF * Experience with distributed training systems and large-scale experiments * Proven track record in designing and implementing robust evaluation frameworks * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Strong software engineering skills and experience with complex shared codebases * Ideal candidate will have: * Experience with diffusion models or other generative architectures * Background in fine-tuning large language models or generative models * Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as constitutional AI or debate * Track record of successful collaboration with product teams * Experience with perceptual quality metrics and human evaluation design * Contributions to open-source projects in AI alignment or generative AI Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout Mithrl We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. Why This Role Matters We’ve built something scientists love. Now we need the world to know. As an Account Executive, you’ll own the customer journey from demo through deal close. You will engage directly with biotech and pharma prospects, showcase how our product solves scientific and operational challenges, and guide them through evaluation, negotiation, and signing. Your focus is on advancing qualified opportunities to successful partnerships, not on lead generation or cold outreach. You’ll work closely with the founders, product, and GTM teams to scale revenue, boost visibility, and support everything from demo to deal flow. This is a high-ownership role with room to shape the brand, grow a team, and accelerate into a Head of Sales track as the company scales. What You'll Do * Take ownership of qualified opportunities handed off from SDRs, marketing, or inbound channels. * Conduct tailored product demos that highlight value for life sciences R&D and decision-makers. * Manage all stages of the evaluation process including discovery, technical validation, procurement, and legal/contract discussions. * Partner closely with our scientific and customer success teams to ensure prospects see the full scientific and business value of the platform. * Develop relationships with both technical and business stakeholders, from bench scientists to executives. * Drive opportunities to close, consistently achieving or exceeding quarterly/annual revenue targets. * Maintain accurate pipeline management and forecasting in the CRM. * Provide customer feedback to help refine product and positioning. What We're Looking For * 3+ years of closing experience in SaaS or scientific software, with at least 1–2 years selling into biotech, pharma, or life sciences organizations. * Proven track record of success running the full sales cycle from demo to close. * Familiarity with scientific workflows (omics, bioinformatics, computational biology, or drug discovery) and ability to communicate credibly with technical audiences. * Strong presentation, negotiation, and closing skills. * Experience navigating procurement and legal processes in life sciences or enterprise contexts. * High attention to detail and ability to operate in a fast-paced, high-growth environment. * **Curiosity, persistence, and a drive to understand how things work * **High energy, strong work ethic, and a track record of getting things done * **Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft Preferred * Background in life sciences (education or prior industry role). * Experience selling AI/ML or data platforms to R&D teams. * Existing network in biotech/pharma. What You’ll Love * Ownership: The customer voice and the motion—you’ll build it * Impact: Help the world’s best scientists discover drugs faster and change lives * Speed: Our deals close fast, our product ships fast, and our growth is real * Team: Work alongside world-class AI scientists, engineers, and biotech experts * Culture: Smart, humble, fast-moving people. No red tape, no fluff * Location: Beautiful SF office, in-person team * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, vision) + 401(k) with top-tier plans Compensation Range: $150K - $300K

Job Description About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. About the Role We are looking for a Senior Software Engineer in Robotics to build the core software powering our next-generation autonomous robots. In this role, you will develop the systems that allow our robots to operate with exceptional reliability, precision, and efficiency in real production environments. You will work across robotics and autonomy—building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations. You'll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve robot uptime, performance, and overall intelligence. Responsibilities • Lead design and implementation of robot behaviors and task-level intelligence across the full robotics stack, integrating perception, planning and control into reliable end-to-end execution., • Design and implement task orchestration and robot behaviors across nominal and edge-case scenarios, ensuring high task success rate and robust recovery., • Drive measurable improvements in autonomy quality, using data and operational metrics to iterate on task success rate, recovery behavior, and system reliability., • Collaborate with hardware engineering on seamless software–hardware integration for new robot platforms and upgrades., • Participate and lead technical design reviews and drive architecture decisions for core subsystems and features., • Mentor cross-functional engineers and technicians, and raise the bar on reliability, testing, and operational excellence., • Bachelors, Masters, or PhD in Computer Science, Robotics, or a related engineering field., • 5+ years of software engineering experience building production robotics systems., • Strong proficiency in at least one of the following programming languages: Rust, Python, C++, • Proven ability to design, implement, and maintain complex, high-reliability software systems., • Experience integrating software with sensors, actuators and embedded systems., • Proven ability to design, implement, and maintain complex, high-reliability software systems., • Familiarity with software best practices including testing, documentation, code reviews, and robust architectural design., • Excellent communication skills and ability to collaborate across multi-disciplinary teams, • Exposure to automation environments such as warehousing, manufacturing, or logistics, • Experience with real-time embedded system development, with RTOS or bare-metal firmware This role is an in-office, 5 days a week role in San Francisco, CA. $190,000 - $250,000 a yearThe above range is the salary range. This position will also receive generous equity! Culture:We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.Nimble's BenefitsUnlimited Flexible Time OffEnjoy the time you need to travel, rejuvenate, and connect with friends and family.Health InsuranceNimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.Paid Parental LeaveEnjoy paid bonding time following a birth.Commuter BenefitsTake the stress out of commuting with access to fully-paid parking spots. Referral BonusGet a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401kContribute towards a 401k for retirement planning.EquityBe an owner in Nimble through our equity programLink: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

Job Description Terraphase offers cost-effective solutions to complex environmental and engineering challenges. We listen to our clients and focus on their needs. We apply technical expertise and keen awareness of the regulatory framework to achieve our clients' project goals and objectives. The combined talent and experience of Terraphase's engineers, geologists, and scientists form the foundation for a comprehensive environmental management approach. Description Terraphase is seeking a Project Environmental Engineer, Geologist, or Scientist to join our team in our Oakland office. The Role • Conduct environmental site assessments, investigations, and field work., • Work on environmental compliance projects including in areas of stormwater, air quality, wastewater, and hazardous waste management., • Develop and implement remediation plans and strategies., • Prepare permit applications and compliance reports., • Collaborate with multi-disciplinary teams to solve complex environmental challenges., • Manage project timelines, budgets, and client relationships., • Ensure projects adhere to regulatory requirements and industry best practices., • Contribute to project related documents and deliverables such as RI/FS, Phase II ESA, work plans, groundwater monitoring reports, Stormwater management plans, SWPPPs, NPDES compliance documents, etc. Final review will be provided by Technical Lead on the project., • Collaborate with CAD, GIS, and database staff on project needs., • B.S. required, M.S. preferred in Environmental Engineering, Geology/Hydrogeology, or related field., • Engineer-in-Training (EIT), Geologist-in-Training (GIT), Professional Engineer (PE), or Professional Geologist (PG) license in the state of California preferred., • 5+ years of experience in environmental consulting or engineering., • Strong written and verbal communication skills, with demonstrated experience in technical writing and client correspondence., • Experienced with preparation of remedial investigation reports, remedial design reports, cost estimating, environmental compliance, and supervision of field implementation of remediation activities, including Vapor Intrusion Mitigation Systems construction quality assurance., • Experienced in analysis, evaluation, presentation, and interpretation of geologic, hydrologic, hydrogeologic, and chemical data obtained during field investigations., • Confident in working at environmentally impacted field sites and committed to being a proactive participant in health & safety culture., • Able to demonstrate excellent communication, teamwork, analytical, organizational, technical writing, and client service skills. Compensation for this position is based on years of experience, technical expertise, technical education, and geographic location. Pay Range$90,000—$105,000 USD Who We Are We are an environmental consulting company that offers cost-effective solutions to complex environmental and engineering challenges. We apply technical expertise and keen awareness of the regulatory framework to achieve our clients' project goals and objectives. The combined talent and experience of Terraphase's engineers, geologists, and scientists form the foundation for a comprehensive environmental management approach. Terraphase was founded with the goal of developing a full-service engineering and consulting firm that provides high-quality services to clients with regional and nationwide operations. We are driven by creating valuable work products for our company and clients, and a rewarding environment for our employees. Our staff is comprised of registered professionals in civil engineering, geology, hydrogeology, and geotechnical engineering. Our unique company culture philosophy of appreciating and recognizing individuals for their work, leadership, and mentoring, while supporting and encouraging a healthy personal and professional lifestyle help to make Terraphase one of the best places to work. Benefits Terraphase offers an extensive benefits package including; Medical, Dental, Vision, Employer Paid Life Insurance, Long-Term Disability, a generous 401(k) match, Commuter Benefits, TerraLunches, TerraTalks, Tuition/Licensing/Professional Development Reimbursement, Flexible Work Schedule, ongoing company-sponsored events. EOE STATEMENT Terraphase is an Equal Opportunity Employer, committed to an inclusive & diverse work environment where individual strengths and diverse viewpoints are respected and complement each other to achieve common goals. (EOE M/V/F/D) Review our Privacy policy here.

Job DescriptionAbout NimbleNimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Why Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency.The RoleAs a Global Supply Chain Manager, you'll lead strategic sourcing for the critical components and assemblies that make our cutting edge robotic systems. In this critical role, you'll collaborate with Hardware Engineering, Manufacturing, Finance and Operations to drive cost improvements, scale production and build a resilient supply baseResponsibilities • Define and own category strategies for key components and assemblies with a focus on scaling production., • Achieve or exceed cost targets through data-driven should-cost modeling, market and commodity analysis, and strategic negotiations., • Negotiate commercial agreements, including piece price, tooling/NRE, and key contractual terms., • Manage supply chain risk through assessment of capacity, geopolitics, logistics, and supplier technological capability., • Actively partner with the Hardware Engineering team to drive design direction aimed at meeting functionality objectives while reducing landed costs., • Drive supplier readiness across prototype, pilot, and mass production builds to ensure smooth scale-up and launch execution., • Develop and execute planning, logistics and warehousing strategy to optimize costs and minimize supply risk., • Concisely summarize and escalate key supply, cost, and/or quality issues with partner teams and lead development and implementation of corrective action plans Qualifications, • 3+ years of experience in sourcing or procurement for high volume manufacturing, • Degree in Supply Chain, Engineering, Business Administration, or equivalent experience, • Solid category knowledge across mechanical, electrical (PCB/PCBA), and/or electro-mechanical components and assemblies, • Strong negotiation and contract management skills, • Proven experience leading cross-functional work-streams with Engineering, Operations, Finance, and NPI teams to drive alignment and execute sourcing strategies, • Excellent communication and interpersonal skills, • Willingness to travel domestically and internationally, potentially on short notice Additional Requirements, • Extensive supply chain or manufacturing operations experience with one or multiple of the following: electronics components, injection molding, stamping, sheet metal fabrication, casting, CNC machining, printed circuit board fabrication, assembly, • Prior experience sourcing, evaluating and onboarding new suppliers in new regions

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring an ML Engineer, Discovery Applications to build the high level, end-to-end scientific workflows that power real bench to bench decision making inside the Mithrl platform. This role focuses on building the application layer on top of the AI Co-Scientist. Your work will shape how scientists discover biomarkers, identify and validate targets, design experiments, and run early discovery programs that extend all the way to IND-enabling work. This role requires a deep understanding of the discovery and preclinical development cycle. You should understand how research teams move from early target hypotheses to biomarker strategy, hit identification, hit to lead, lead optimization, and preclinical validation. Your applications will support decision making across this entire arc and will be consumed directly by scientists and program teams. You will design multi step workflows that combine analysis modules, ML models, domain logic, and agentic reasoning into complete applications. These applications cover biomarker discovery, target ID, target validation, small molecule hit identification and optimization, and gene therapy workflows. You will also extend applications to support new data modalities as our platform expands. WHAT YOU WILL DO * Build full discovery applications that support biomarker identification, target discovery, target validation, small molecule design workflows, and gene therapy programs * Stand up new analyses that support application logic and improve or extend the existing analysis suite * Create multi step reasoning flows that integrate ML models, statistical methods, pathway context, simulation tools, and biological domain logic * Design application specific workflows for compound evaluation, program prioritization, and multi modal evidence integration * Extend existing applications to incorporate new data modalities and new analysis routines * Build reusable frameworks for Design of Experiments across biomarker discovery, target ID, validation, small molecule programs, and gene therapy * Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists * Collaborate closely with ML engineers, bioinformatics teams, and data ingestion teams to ensure workflows run on consistent data * Validate scientific correctness and ensure applications produce accurate, reproducible, and interpretable results WHAT YOU BRING Required Qualifications * Strong experience in ML, computational biology, scientific computing, or a related field * Deep understanding of the drug discovery and preclinical development cycle including early discovery, target identification, target validation, hit identification, hit to lead, lead optimization, and IND-enabling work * Experience building analytical workflows or application logic for biological or scientific data * Familiarity with key discovery analysis methods such as differential expression, pathway analysis, clustering, enrichment, and target scoring * Proficiency in Python and scientific computing libraries and comfort with building multi step workflows * Ability to convert scientific questions into structured, reproducible workflows that support real decision making * Strong communication skills and ability to collaborate with cross functional engineering and biology teams Nice to Have * Experience building LLM powered agents or multi agent reasoning systems * Experience with multi modal biological data integration * Experience with computational chemistry tools such as docking or ADMET modeling * Familiarity with biological ontologies, curated knowledge sources, or pathway databases * Prior experience in a tech bio startup, biotech R&D group, or scientific software platform WHAT YOU WILL LOVE AT MITHRL * High ownership and impact: You will build the decision making applications that scientists rely on throughout the discovery and preclinical process * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to: * Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration. * Prototype and benchmark models; present findings internally and externally. * Collaborate with Product & Engineering to ship research‑backed features. * Contribute to open‑source repos and author technical blogs. Requirements Qualifications / Experience / Technical Skills * MS/PhD in Computer Science, ML, or related field—or equivalent experience. * Hands‑on with PyTorch/JAX and modern LLM frameworks. * Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA. Soft Skills / Personal Characteristics * Curiosity‑driven and self‑directed. * Ability to explain complex ideas to non‑experts. * Team player who welcomes feedback and knowledge‑sharing. (REQ ID: 2124)

Job DescriptionAbout Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble AllianceWhy Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency. Role Summary We are seeking a Senior Systems Integration Engineer to lead the technical realization of our next-generation robotic hardware. This is a high-stakes role focused on the integration, validation, and performance of robots in a fully automated warehouse environment, where you will sit at the intersection of Mechanical Engineering, Software, Computer Vision, and Operations. You will be responsible for ensuring our robots don't just work, but perform at a superhuman level, optimizing throughput, perfecting grasp performance, and leading high-profile demonstrations. Key Responsibilities • Involve deeply in the full product life cycle, including product definition, testing, and deployment of the next-generation hardware, with a specialized focus on the rapid deployment of robotic arm features., • Own and execute the robot arm picking performance roadmap. You will utilize metrics to pinpoint mechanical or software bottlenecks and implement aggressive optimizations to improve throughput., • Collaborate with robotics software and computer vision teams to define and roadmap cutting-edge features to maximize operational efficiency and improve robotic grasp-ability robustness and reliability., • Serve as the primary technical lead for robotic warehouse demonstrations and pilot programs, including the high-stake demos for potential customers, investors, and key stakeholders., • Conduct deep-dive technical investigations into performance regressions and lead hypothesis validation/testing for complex edge cases.Qualifications, • BS or MS in Mechanical Engineering, Electrical Engineering, Robotics, or a related technical field., • 5+ years of experience in robotics systems integration, hardware validation, or mechatronics., • Proven expertise in optimizing performance metrics and managing the interplay between robotic systems and control software., • A track record of leading "end-to-end" projects, from initial validation in a lab setting to successful deployment in a high-volume production environment., • Exceptional analytical skills; ability to use data to drive mechanical and software engineering changes.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You'll fully own the vision, strategy and execution for Pinterest's paid growth channels, driving efficient and scalable user acquisition. Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You'll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before. What you'll do: • Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels., • Drive clarity, alignment, and prioritization across a broad crossfunctional team in an ambiguous, complex product area with substantial impact on topline growth. Influence senior stakeholders and contribute to long-term strategy for acquisition., • Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing., • Leverage strong analytical skills to dig into data, identify the highestimpact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions. What we're looking for: • Demonstrated success in product management at fast-growing companies., • Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team., • Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement)., • Strong analytical skills to define product strategy and drive decision making., • Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication., • Prior experience with machine learning, recommendation systems, or generative AI a plus., • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-REX At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a distinguished Visiting Staff Scientist to join our AI Research (AIR) team for a one-year sabbatical residency. In this role, you will play a pivotal part in our mission to create a "Queryable Earth" by leading the development of Planet's proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models like Google's RSFM and RemoteCLIP, we are now focused on building in-house models specifically trained on our unique imagery. You will lead research into creating temporally dense embeddings that go beyond static annual summaries, capturing the dynamic and ephemeral nature of our planet-from rapid flooding to disaster impacts. You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data pipelines, and analytics to co-develop AI/ML solutions that leverage the high spatial resolution and near-daily revisit of PlanetScope data. Impact You'll Own: • Develop Planet's Proprietary GFM: Lead the research and development of a foundation model specifically trained on Planet imagery, incorporating the time-axis to create high-cadence time-series embeddings., • Benchmark Geospatial Architectures: Systematically evaluate and compare existing GFMs (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to assess performance, computational cost, and transferability., • Capture Dynamic Earth Events: Design embeddings and workflows optimized for detecting short-lived, high-impact events such as floods, rapid surface-water expansion, and fire., • Multi-Sensor Integration: Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure robust time-series analysis even under cloud cover., • Human-in-the-Loop Innovation: Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks., • Academic & Technical Leadership: Publish findings in top-tier journals and present at conferences (e.g., IGARSS, CVPR), highlighting PlanetScope's unique value in the foundation model ecosystem., • Distinguished Academic Background: PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics)., • Multimodal AI Fluency: Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs)., • Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m)., • Technical Proficiency: Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks., • Scale-Minded Research: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Specialized Environmental Research: Extensive experience specifically in flood damage quantification and methane-related water dynamics., • Proven Funding & Publication Record: History of leading NASA-funded or similar high-impact geospatial research projects. Application Deadline: August 11, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$231,500—$289,400 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. * Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. * Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. * Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. * Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. * Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. * Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. * Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. * Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. * Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. * Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. * Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. * Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. * Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. * Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. * Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. * 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. * Strong experience applying Generative AI in production or near‑production contexts, including: * Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). * Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. * Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). * Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). * Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. * Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. * Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. * Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. * Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. * Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. * Direct experience with fraud/risk modeling, identity verification, or trust & safety. * Prior work on orchestration platforms, case‑management tools, or rules/decision engines. * Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

Open date: March 13, 2026 Most recent review date: Friday, Apr 17, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Sep 13, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Process Development Scientist The Department of Laboratory Medicine at the University of California, San Francisco(UCSF) is seeking a motivated Process Development Scientist to join our Investigational Cellular Therapy (ICT) group. The ICT program aims to accelerate the development and delivery of promising new cell and gene therapies targeting cancer, autoimmunity, infectious disease, and inherited hematologic and immune disorders. ICT has established collaborations with UCSF research groups and a variety of academic and industrial partners to develop new cell and gene therapy technologies, platforms, and products. The successful candidate will lead cellular engineering activities within a highly skilled process development team and collaborate closely with partner functions such as pre-clinical research, GMP manufacturing, analytical development, quality control, quality assurance, operations/facilities, and regulatory affairs to advance pipeline programs. Key Responsibilities: • Design and execute complex process development efforts using genomic and epigenomic engineering tools and platforms., • Analyze, interpret, organize, and present data to internal and external groups in clear and concise manner., • Author and review experimental proposals, SOPs, and technical reports for scientific publications and regulatory filings., • Ensure data integrity, maintain laboratory record and prepare protocols and reports in a GMP-compliant manner., • Work closely with internal and external partners to support technology transfers and implementation of new process technologies., • Collaborate with and participate in teams to facilitate IND-enabling studies., • Participate in GMP manufacturing campaigns for in-house products. This position will occasionally involve long hours and some weekends and holidays. Scientific independence and attention to detail are critical to success in this position. The candidate will have the opportunity to contribute to scientific publications. Required Qualifications: • For Associate Specialists - A Master's degree (or equivalent degree) in Immunology, Biological Sciences, Biomedical Engineering, or related field or five to ten years of relevant experience is required., • For Full Specialist - A PhD (or equivalent degree) in Immunology, Biological Sciences, Biomedical Engineering, or related field or ten or more years of relevant experience is required., • Working knowledge of basic scientific principles and methods in order to independently design and perform experiments of moderate scope and complexity., • Hands-on experience with aseptic tissue culture techniques and flow cytometry., • Experience with genome editing techniques (e.g. CRISPR/Cas9 editing, base editing, prime editing, etc.), • Experience working with GMP-compatible or automated cell processing platforms and equipment (e.g., electroporation systems, closed-system cell processing devices, automated cell culture or cell washing platforms)., • Organizational abilities and decision-making to prioritize work assignments., • Effective written and verbal communication skills with internal and external collaborators., • Ability to work in a collaborative manner, to assist in identifying any challenges or barriers. Preferred Qualifications: • Familiarity with Design of Experiments (DoE) approaches for process optimization., • Experience working in regulated environments supporting IND-enabling studies, process qualification, or clinical manufacturing., • Experience with analytical methods such as flow cytometry, ddPCR/qPCR, or next-generation sequencing for characterization of edited cells. Applicants must apply online with a CV, cover letter, and the contact information of 3 references. Applicants' materials must list pending qualifications. Candidates must have required qualifications by time of hire. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600 - $194,800. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Position title: Assistant / Associate Project Scientist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: Salary Scale. The current full-time base salary range for this position is $76,700 - $115,400 "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions. Percent time: 100% Anticipated start: Summer 2026 Position duration: One year with the possibility of extension based on performance and funding availability. Open date: April 24, 2026 Next review date: Friday, May 8, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Sunday, May 24, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Innovative Genomics Institute at the University of California, Berkeley, seeks applications for Assistant / Associate Project Scientists in the area of gene editing therapeutic R&D. With support from industry, philanthropic, and federal funding, the Innovative Genomics Institute is developing platform approaches to design, develop, and translate to the clinic ex vivo and in vivo gene editing therapies for severe pediatric disorders of hematopoiesis and other Mendelian diseases of childhood. The role is intended for scientists who can function not only as an experimentalist, but also as a scientific lead across several aspects of therapeutic platform development. Assistant / Associate Project Scientists will be an integral member of a highly collaborative team working across genome engineering, immunology, hematology, molecular and cell biology, genomics, and translational development. These individuals are expected to help drive gene editing therapeutic programs from early discovery through clinical translation by shaping experimental strategy, helping align platform and program priorities, and managing and developing research associates and junior scientists while advancing cell-therapy and gene-editing programs toward development milestones. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position. Key Responsibilities • Lead the conception, design, execution, and interpretation of experiments advancing gene editing platforms and engineered cell therapy products in primary human T and B cells and other primary immune cells, including CRISPR/Cas9 editing, retroviral, lentiviral, and mRNA transduction or other delivery methods, and product characterization., • Develop, implement, and refine innovative in vitro and in vivo assay platforms for genetically engineered cell products, including potency assays, co-culture assays, mechanism-of-action studies, resistance studies, and functional characterization in relevant tumor and immune-cell model systems., • Design and interpret molecular, cellular, and genomic characterization studies using flow cytometry, sequencing-based analyses, cytokine multiplexing, microscopy or imaging, cell culture, and biochemical assays to define product quality, mechanism, and translational readiness., • Provide scientific and strategic leadership for preclinical development performed in-house and with external partners, including CRO and/or CDMO interactions, study design, data review, and integration of results into broader development plans., • Contribute to advancement of programs from discovery through development-candidate nomination, clinical translation, preclinical development, and IND-enabling activities., • Help shape technical strategy by identifying experimental gaps, evaluating emerging technologies, and contributing to platform-building efforts, external partnership discussions, regulatory submissions, technical reports, and supporting materials for partner diligence, as relevant., • At least 5 years of experience in biotechnology, translational research, or a related applied research environment developing genetically engineered cell therapies, gene editing platforms, or closely related products., • Demonstrated expertise in genome editing and engineering of primary human T and B cells, primary T cells, and/or other primary immune cells, including CRISPR/Cas9 knockout and targeted knock-in approaches, with experience using retroviral, lentiviral, mRNA, AAV, and/or other viral or non-viral delivery methods., • Experience developing and prosecuting innovative in vitro and in vivo assay platforms for engineered cell products, including functional potency assays, co-culture assays, mechanism-of-action studies, and product characterization assays., • Experience integrating cell engineering with mechanistic immunology, tumor-immune biology, and/or functional immune-cell profiling in order to define product performance or resistance mechanisms., • Experience leading multidisciplinary or cross-functional research efforts and managing research associates, scientists, or matrixed research teams., • Experience advancing research or therapeutic-development programs through discovery, development-candidate nomination, clinical translation, translational/preclinical studies, and/or IND-enabling activities., • Experience with one or more of the following is strongly preferred: genome integrity or off-target assessment; sequencing-based characterization of edited products; in vivo preclinical models; regulatory submissions (for example, INTERACT, preIND, IND, or CTA materials); external partnership, CRO, or CDMO management; or innovation scouting and IP development. Curriculum Vitae - Your most recently updated C.V. * Cover Letter Reference requirements UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy, • APM - 035: Affirmative Action and Nondiscrimination in Employment Berkeley, CA

Open date: July 16, 2025 Most recent review date: Friday, Aug 22, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Saturday, Jan 16, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Bose Lab - Specialist The lab of Rohit Bose, MD, PhD at UCSF ( ) is searching for exceptionally motivated and enthusiastic research specialists. A practicing physician-scientist runs the lab, focusing on understanding how tumors evolve in different therapeutic environments. The lab uses clinically relevant immunocompetent cancer models to develop & test novel therapeutic strategies. Although primarily a lab-focused position, the candidate will also interface with clinical teams regarding patient data & samples. The specialist will be an integral member of the research team. Thus, the position will require a degree of independence but is still under general supervision. This type of experience is a superb preparation for graduate or medical school. This a full-time in-person position with no remote component. It is a balancing act and requires an organized person with a talent for multitasking, as there are three components: • The primary responsibility is to ensure the smooth day-to-day running and operation of the lab., • The secondary responsibility is to collaborate with other members on research projects., • Junior Specialist - Baccalaureate degree (or equivalent degree) or at least four years of research experience., • Assistant Specialist- Master's degree or a baccalaureate degree with three or more years of research experience., • Associate Specialist - Master's degree (or equivalent degree) or five to ten years of relevant research experience., • Full Specialist - terminal degree (or equivalent degree) or ten or more years of relevant research experience., • Flexibility to receive scheduled clinical samples which can arrive after hours., • Ability to perform repetitive tasks precisely (plating cells, loading samples, etc.), • skills (verbal and written), • Willingness and ability to learn new methods and skills for changing research priorities., • Ability to work independently and as a member of a research team, • Ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines., • Candidates must meet the required qualifications at the time of appointment., • Prior lab experience from academic or industry (beyond coursework) Please apply online at , with a CV, a cover letter summarizing prior/current research experience, the corresponding principal investigator's names, and desired career goal in 3-5 years' time, and two references. See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$194,800. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter - summarizing prior/current research experience, the corresponding principal investigator names, and desired career goal in 3-5 years' time Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Job Description We are launching a new venture dedicated to eliminating toxic chemicals from our food supply and the environment. Our primary mission is to eliminate Bisphenol A (BPA) – a pervasive endocrine disruptor linked to the reproductive health crisis. You’ll work closely with the DSV team and the current Founder in Residence to co-found and spin-out a new company. Once the new venture is incorporated with pre-seed investment from DSV and the Grantham Foundation, you and your co-founder will own the majority stake in the business, and continue receiving hands-on support from the DSV+Grantham team post-spinout. THE OPPORTUNITY Despite its known toxicity, 10 million tons of BPA are produced annually for use in everything from food packaging to high-performance composites. We are disrupting this status quo by replacing BPA-based adhesives and coatings with our proprietary, biobased, high-performance, ensuring safety without compromising product performance. Safe food and a clean environment should not be a luxury. We are recruiting a Co-Founder with a strong commercial background - ideally in food contact packaging coatings and adhesives - and a track record in entrepreneurship, including fundraising. The interior coatings of food and beverage cans have been identified as a major route of human exposure to bisphenols and will be our primary focus. Experience in food and beverage cans is preferred. The role is full-time, remote initially until venture incorporation and spin-out (circa end of Q2 2026), location TBD. ABOUT THE FOUNDER-IN-RESIDENCE Dr. Robert Fleming is a distinguished scientist and serial entrepreneur dedicated to the intersection of advanced materials and global sustainability. With a career spanning foundational roles at 3M Corporation to executive leadership at Zymergen and CLEARink Displays, Robert has spent over two decades developing and scaling new products and technologies to high-volume. Since 2020, Robert has pivoted his focus toward the circular economy, championing biobased chemistries that replace toxic legacy materials. At DSV, he is leading a critical mission to eliminate harmful chemicals from food-contact materials. A prolific inventor with over 60 issued U.S. patents, Robert holds a PhD in Polymer Science from the University of Massachusetts and continues to advise high-growth startups in the optics, nanoscience, and polymer sectors. ABOUT DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin-out, and invest in science companies, combining available scientific knowledge and founder-type scientists into high-impact ventures. Operating in four sectors—Pharmaceuticals, Climate, Agriculture, and Computation—we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions. OUR PARTNERSHIP WITH THE GRANTHAM FOUNDATION To learn more about the collaborative work that led to this opportunity area, please see report - "The Invisible Tsunami". Requirements The Role: This is a deeply hands-on role: as Commercial Co-Founder, you will own the venture’s commercial strategy and execution from day one. Working hand-in-hand with the technical founder, you will: • Validate market demand and define target segments;, • Build early customer, supplier, and strategic partnerships;, • Secure commercial proof points (LOIs, MOUs, offtake pathways);, • Support or lead fundraising from VCs. Must-Have Experience: • Previous experience in either a startup/early-stage company environment or leading commercial scale-up in a relevant industrial setting (or both);, • Experience in adhesives, coatings markets and food packaging is a strong plus;, • A track record in fundraising from VC, grant writing, grant management and building commercial partnerships;, • Exposure to regulatory processes for industrial chemicals/materials (ideally battery-related). Essential Capabilities: • Lead customer discovery to identify and prioritise target markets, building relationships from initial outreach through to binding offtake agreements, and refining value proposition based on market feedback;, • Co-develop and maintain techno-economic models, pricing strategy, financial models, and lead commercial negotiations and contract structuring;, • Lead fundraising efforts with commercial due diligence materials, building investor relationships and communicating commercial progress;, • Demonstrated B2B and B2C sales and business development experience, ideally in materials, chemicals or related industrial sectors, with a track record from cold outreach to signed agreements;, • Willingness to operate across strategic and administrative tasks with resilience, strong self-direction and ability to thrive in uncertain environments;, • Excellent communication skills with the ability to build credibility across diverse stakeholders, present to senior executives and investors, and work collaboratively with a technical co-founder;, • We provide optimised, purpose-built, proprietary tools, resources and processes to help create high-impact ventures from scratch, using our venture creation methodology., • DSV and Grantham Foundation's extensive network incl. leaders of biotech VCs, technical & commercial domain expertise, and wide-ranging portfolio company capabilities., • We jointly provide an initial £250k (~$340k / €290k) investment governed by our Investment Committee to incorporate the new venture and develop early proof-of-concept data that is often needed to attract high profile non-venture studio VCs. This funding is also key for obtaining grant funding, which often needs to be matched with private investment., • You and your co-founder(s) together will own the majority equity stake in the company., • We provide minimum guaranteed income of £4,166 per month (fixed), paid to each Founder as a consultancy fee until the company is launched and pre-seed investment is secured., • We provide continuous support post spin-out, including fundraising, commercial partnerships, recruitment and team-building (amongst other things)., • Other Founders currently at DSV across sectors working collaboratively and supporting one another - a unique resource to draw on.

Savor is a venture-backed startup pursuing transformational technology to produce high-quality, healthy and affordable fats without negative climate impact. We believe our deeply technical company is taking an absolute swing for the fences in the climate fight and are looking for someone who shares our passion for the mission. We are seeking a Product Development Scientist to lead the development and testing of the new class of products we're bringing to market, primarily based in San Jose, CA. In this role, you will join our world-class technical team and have the opportunity to be part of creating and growing our values-first, mission-driven company. Responsibilities • Design and execute experiments to develop new fat formulations driven by customers’ feedback and requirements, • Characterize the functional and chemical properties of fat formulations to understand performance benefits, gaps, and opportunities, • Design and execute experiments to develop fundamental understanding of Savor’s product performance, • Carry out root cause investigations to identify product failure modes and implement solutions to address them, • Effectively document and communicate ideas, plans, and results externally to customers and internally across teams Qualifications/Skills • PhD. or MS/BS with equivalent experience in materials science, chemistry, chemical engineering, food science, or related field with 4+ years relevant experience working in product or materials development, • Demonstrated hands-on experience in wet lab and understanding of safe lab practices, • Well-organized and data-driven approach to problem solving and experimental design, driven by curiosity and attention to detail, • Experience with industrially relevant food-processing techniques and protocols in edible fats and oils is a plus, • Experience with food manufacturing regulatory and compliance requirements is preferred, • Experience developing products where fats play a central role in the sensory experience is a plus, • Ability to work and solve problems independently, • Excellent verbal and written communication, • If there are items under the “Qualification/skills” section that you are working towards or would like to pursue, we still encourage you to apply. Our promise is that a real person is reviewing your application when received Logistics Our current physical office is located at the San Jose Biocube in south San Jose, CA. This is a hands-on, on-site position, so you will need to be able to commute to our office or be willing to relocate. Savor offers compensation commensurate with experience, including a base salary of $130,000-$170,000. Additional benefits include: • Equity participation at a meaningful stage in Savor’s growth., • This role is eligible to participate in Savor's performance bonus program, currently under development. The program is anticipated to offer a target bonus of 10-15% of base salary, tied to individual and company performance., • Health, dental, and vision coverage. We are an Equal Opportunity Employer - we do not discriminate in hiring, promotions, or any other way on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

A leading sleep fitness company is seeking a Data Scientist in San Francisco, CA to lead growth data science initiatives.

An innovative caregiving technology firm in San Francisco is seeking a full-stack data scientist to lead the development of mission-critical features.The candidate should have a strong foundation in React and Node.AWS, and a passion for using AI to enhance product capabilities.This is a remote posit

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Leica Microsystems, one of Danaher's () 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Shape the Future with Us! At Leica Microsystems, we have been shaping the future for over 175 years with groundbreaking optical and digital solutions. With a culture rooted in customer focus, innovation, and teamwork, we lead the market in microscopy, imaging, and analysis, unveiling the invisible and empowering our customers to build a better, healthier world. Joining Leica Microsystems means contributing to scientific discoveries and supporting surgeons in making critical decisions. Our advanced microscopes and AI-based image analysis solutions enable users to gain profound insights into development and engineering challenges. Here, you will work on meaningful projects alongside passionate colleagues, driving progress and pushing the boundaries of what's possible. Learn about the Danaher Business System () which makes everything possible. The primary purpose of the Field Applications Scientist position is to provide technical pre- and post-sales support for all advanced widefield microscopy products. Support will be provided to Leica's Life Science Research customers and Account Managers in all facets of their selling activities. The Field Applications Scientist will perform product demonstrations, troubleshooting and training sessions with end customers and sales reps. This role will also handle demonstration system logistics and confirm correct system functionality as well as perform successful product demonstrations to drive advanced widefield system sales. This position reports to the Sr Customer Support Manager and is part of the Field Applications department and will work remotely to cover Northern California. In this role, you will have the opportunity to: * Provide expert product, application and software support to customers and sales and perform successful product demonstrations to drive sales results * Provide technical troubleshooting and conduct trainings for customers and Leica employees and participate and instruct in customer workshops and schedule/run product seminars * Test and confirm demo system functionality, develop protocols to image customer samples * Work with customers or other professionals to generate field data and application notes, which highlight product benefits and help differentiate Leica products * Assist in meeting sales goals for each of the Widefield sales reps in his/her assigned territory and provide positive motivation and support to help sales reps meet their goals * BA/BS in life sciences, optics, or related field with 4+ years hands-on microscopy experience, or Master's degree with 2+ years experience, including proficiency in widefield imaging. * High level of computer proficiency and comfort with troubleshooting imaging systems. Travel, Motor Vehicle Record & Physical/Environment Requirements: * Travel: Up to 50% overnight travel * Must have a valid driver's license with an acceptable driving record It would be a plus if you also possess previous experience in: * Transmitted-light contrast techniques (DIC, phase contrast) * Live-cell and multi-color fluorescence workflows * Camera-based detection (sCMOS, CCD) Leica Microsystems, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info () . At Leica Microsystems we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Leica Microsystems can provide. The annual salary range for this role is $90,000.00- 95,000.00. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. #LI-GCC Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here () . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or .

Lead the preparation and presentation of safety data at safety governance meetings (Safety Management Team and Company Safety Committee) and for Safety Monitoring Committee (SMC), Data Monitoring Committee (DMC)/Data and Safety Monitoring Board (DSMB). The Director, Safety Scientist supports assigne

A leading AI research company based in San Francisco is seeking a seasoned Data Scientist to lead the development of causal inference and predictive models.The ideal candidate will have over 7 years of experience in data science, strong communication skills, and a strategic mindset.This position off

Job Description Location: San Francisco, CA (Hybrid) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance. Key Responsibilities • Lead End-to-End Data Science Projects: Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions., • Statistical & Machine Learning Modeling: Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models) to support decision-making and enhance product capabilities., • Analytics Engineering & Data Modeling: Perform complex data transformations and develop well-structured data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets., • Software Development & Productionization: Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems in a cloud-based environment while leveraging AI coding tools to accelerate development., • MLOps: Contribute to Verse's machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production., • Master's degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and 2+ years of professional experience in data science or machine learning; or, • Bachelor's degree and 4+ years of professional experience in data science or machine learning, • Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation, • Experience deploying and maintaining models in cloud-based environments (e.g., AWS, GCP, or Azure) using MLOps practices, • Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow), • Hands-on experience in orchestrating complex data transformations (e.g. Airflow, Dagster, dbt), • Strong software engineering practices (version control, testing, code reviews, CI/CD), • Experience in energy, climate tech, or related domains (not required), • Familiarity with optimization methods or operations research, • Experience developing probabilistic forecasting models and quantifying uncertainty, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $146,000 - $172,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

A leading AI research company based in San Francisco is seeking a seasoned Data Scientist to lead the development of causal inference and predictive models.Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.The ideal candidate will have

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Head of Product Marketing to define the narrative, positioning, and go to market strategy for Mithrl. This is a high visibility, high impact leadership role that requires deep scientific understanding and proven product marketing experience. A PhD is required because you will be translating complex discovery science and AI driven workflows into simple, compelling stories that resonate with research leaders, computational biologists, and executive buyers. You will shape how the world understands Mithrl, why it matters, and why it is fundamentally changing the way biology is programmed. You will own messaging, launches, scientific content, cross functional alignment, and the campaigns that drive awareness and adoption. You will partner closely with product, engineering, sales, and applications teams to turn scientific capabilities into clear commercial value. If you are a scientist turned storyteller, a strategic thinker, and a data-driven marketer who loves building from first principles, this is a rare opportunity to help define and lead a category. WHAT YOU WILL DO * Own the product narrative, positioning, and messaging for the Mithrl AI Co-Scientist * Translate complex scientific workflows into clear value propositions for R&D and computational buyers * Lead product launches, end to end, with defined success metrics and measurable outcomes * Build persona definitions, ICPs, and buyer journey maps for biotech and pharma customers * Create compelling scientific and commercial content including whitepapers, case studies, webinars, and narratives that highlight discovery impact * Partner with sales to develop decks, one pagers, battlecards, and objection handling materials * Work with product and engineering to align roadmap and capabilities with GTM needs * Collaborate with marketing on targeted campaigns with measurable KPIs that drive pipeline creation and product adoption * Build competitive intelligence and market landscapes that guide both product and GTM strategy * Interface directly with prospects and users, synthesizing customer insights and converting them into messaging, content themes, and campaign directions * Represent Mithrl at conferences, industry events, and external thought leadership opportunities * Establish product marketing as a core strategic function as part of Marketing for the company and scale it as we grow WHAT YOU BRING Required Qualifications * PhD in biology, bioinformatics, computational biology, molecular biology, pharmacology, or a closely related field * 5 or more years of experience in product marketing at a tech bio, life sciences software, scientific platform, or AI company * Demonstrated success launching products or major features with measurable impact on pipeline, adoption, or revenue * Proven ability to craft narratives that resonate with scientific and technical audiences * Strong writing and communication skills with the ability to simplify complexity without losing accuracy * Experience partnering closely with sales, customer success, product, and engineering * Comfort working in a fast moving, high ownership startup environment * A portfolio of content, launch materials, or campaigns that shows creativity and commercial impact Nice to Have * Experience marketing AI enabled scientific tools or computational biology platforms * Experience selling into enterprise biotech or pharma environments * Familiarity with discovery workflows, omics analysis, or preclinical development * Experience with demand generation or growth marketing * Prior leadership or mentorship experience within marketing teams WHAT YOU WILL LOVE AT MITHRL * You will build the story that drives scientific adoption and commercial growth * You will have significant ownership over GTM strategy and product communication * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Discovery Biotherapeutics and Genetic Medicine (BGM) at AbbVie is seeking a highly motivated Principal Scientist to join the Biotherapeutics group at the AbbVie Bay Area (ABA) site based in South San Francisco, CA. This role seeks a skilled and experienced individual to contribute to and lead therapeutic programs, focusing on biophysical screening to advance biotherapeutics from early exploration through lead identification and optimization. Close partnerships with Oncology will be required to drive transformative ideas to the clinic. The ideal candidate must possess expertise in high-throughput biologics screening and characterization methods (e.g. ELISA, FACS, BLI, SPR, etc.) and have a solid foundation in protein sciences and antibody discovery with a proven ability to work effectively on cross-functional teams. Responsibilities • Lead from the lab to advance large molecule biologics projects from exploratory to optimization stages and drive Go / No Go decisions., • Effectively partner with functional and therapeutic areas to achieve project objectives., • Identify and integrate cutting-edge technologies and methodologies into screening and assay development, anticipating future trends in drug discovery., • Multitask and work within timelines while maintaining a high level of productivity., • Supervise 1-2 scientists, evaluate team performance, and is accountable for the effective performance of teamQualifications, • BS, MS, or PhD with typically 14+ (BS), 12+ (MS), or 6+ (PhD) years of relevant experience., • Experience with biologics, monoclonal antibodies and/or protein therapeutics., • Experience advancing Discovery programs from exploratory to candidate nomination, • Independently develop and execute biosensor and cell-based platforms to evaluate panels of antibody biotherapeutics., • Implement high-throughput epitope binning for large panels of monoclonal antibodies and develop deep knowledge of antibody sequence/function relationships., • Evaluate and integrate biomolecular interaction technologies (e.g., SPR) to guide therapeutic candidate selection recommendations., • Expert in biophysical characterization instrumentation and methodologies such as SEC, MS, HDX-MS, X-ray crystallography, DSF, DLS, etc., • Challenge the status quo and onboard cutting-edge technologies to drive discovery and innovation., • Antibody sequence and structure knowledge., • Structure-based molecular modeling and applications with AI/ML and integrating complex datasets to drive data-based decisions., • CRO and external partner management. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAbout Lean In & The Sandberg Bernthal Family Foundation The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program. Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives. Role Overview We are looking for a Data Scientist who can transform data into meaningful, actionable insight. Someone who is rigorous in analysis, thoughtful in interpretation, and motivated by impact. In this role, you will help us understand our community experience, measure what works, and guide strategic decisions that shape our products, programs, and reach. Your work will directly influence how we serve millions of women and allies around the world. What You’ll Do Turn Data into Insight- Identify trends and patterns in data to uncover opportunities for growth and improvement- Translate complex findings into clear, practical recommendations that inform decisions- Design and conduct analyses to understand user engagement, content effectiveness, and program impact Drive Product and Program Impact- Partner with product, marketing, and program teams to define meaningful metrics and measure success- Develop experimentation frameworks and analyze A/B tests to optimize features and experiences- Build predictive models and recommendation systems that personalize and strengthen user journeys Build Strong Foundations- Create dashboards and visualizations that make insights accessible to both technical and non-technical stakeholders- Build and maintain reliable data pipelines (data engineering experience preferred) - Design and optimize data infrastructure and warehousing solutions- Ensure data quality, governance, and consistency across systems- Work across the full data stack - from raw data ingestion to reporting and storytelling What You Will Bring Required- 3+ years of experience in data science, analytics, or a related field- Strong proficiency in Python or R, SQL, and data visualization tools- Experience with statistical analysis, machine learning, and experimental design- Solid understanding of data engineering principles and data pipelines- Familiarity with modern data tools (e.g., cloud data warehouses, ETL tools, BI platforms)- Ability to communicate complex analyses in a clear, compelling wayStrong problem-solving skills and intellectual curiosity- Excellent collaboration skills and experience working cross-functionally- Deep commitment to Lean In’s mission to inspire and equip women to lead Preferred- Understanding or experience with user experience research - Experience in mission-driven or social impact organizations- Genuine alignment with the broader initiatives of the Sandberg Bernthal Family Foundation, including building resilience and advancing equalityWhat We Will Offer You • Base Salary: $140,000 – $165,000 based on experience, skills, and qualifications, • Performance Bonus: Up to 15% of base salary annually, • Medical, dental, and vision insurance, • 401(k) with a 4% employer match, • Generous paid time off, • Additional benefits designed to support well-being and long-term success Work Location: We believe in the power of in-person collaboration. This role is based in San Francisco, with a hybrid schedule of three days in office per week (currently Monday, Tuesday, and Thursday) and remote flexibility on other days, beginning September 2026. The Sandberg Goldberg Bernthal Family Foundation is committed to Equal Employment Opportunity without regard to age, race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. It’s important to us that people of all identities and backgrounds see themselves represented and included in our work, so we actively encourage people of all identities and experiences to apply.

Job DescriptionAbout Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes Why This Role Matters Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. This isn't theoretical—it's real momentum with top-tier biopharma companies. As our BDR, you'll initiate conversations with leading scientists and decision-makers, uncover critical pain points, and open doors to breakthroughs that could lead to life-saving therapies. Join us early, grow fast, and make a meaningful impact on scientific discovery. What You'll Do Core Responsibilities: * Identify and prospect high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) * Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders * Qualify inbound leads and schedule qualified meetings for our sales and science teams * Collaborate with founders and commercial leadership on messaging optimization and market expansion Growth & Learning: * Master the fundamentals of genomics, RNA-seq analysis, and AI applications in drug discovery * Document customer insights to inform product development and marketing strategy * Help build and scale our go-to-market engine from the ground up What We're Looking For Experience: * 2-5 years in SDR/BDR role, preferably in biotech, life sciences, AI, or enterprise SaaS * Track record of meeting/exceeding quota in complex B2B sales environments Core Skills: * Exceptional written communication with ability to simplify complex technical concepts * Strong research and prospecting abilities * Comfortable with ambiguity and rapid iteration * Active listening skills and ability to identify genuine pain points Mindset: * Intellectual curiosity about science and technology * Persistence and resilience in face of rejection * Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline Bonus Points: * Experience with scientific software or life sciences customers * Familiarity with genomics or bioinformatics * Track record in early-stage startup environments Compensation Range: $75K - $120K

Job DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. ABOUT THE ROLE We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products. The role requires a deep, first-principles understanding of data science and machine learning — not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role — you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions. You will work closely with Data Engineering, Product, and go-to-market teams. WHAT YOU'LL DO * Write and own production-quality Python code end-to-end — well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets * Design, build, and deploy measurement models and statistical frameworks that power Samba’s campaign measurement, reach/frequency estimation, and cross-platform attribution products * Apply the right statistical and ML technique to the right problem — drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage — and clearly articulate the reasoning behind your choices * Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods — counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation — to advertising and viewership measurement problems * Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready * Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team * Mentor junior Data Scientists through code review, pairing, and structured technical feedback — raising the team's technical floor * Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients WHO ARE YOU * 5-7 years of professional data science experience — hands-on, delivery-focused, and measurable in shipped models and production systems * Expert-level Python — clean, modular, testable, production-ready code is your standard, not your aspiration * Advanced PySpark and Databricks — comfortable building and optimizing data pipelines and ML workflows on billion-row datasets * Deep, first-principles command of statistics and ML — you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions * Solid grasp of experimental design — A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate * Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production * Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes * Strong ownership mindset — you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding. * Clear communicator — able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership * Experience with multi-touch attribution (MTA) or multi-channel attribution modeling — understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives * Hands-on experience with Causal ML methods — counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation — applied to advertising or media measurement outcomes * Direct exposure to TV or digital viewership data — ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT) * Familiarity with the measurement * t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks) * Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field — or equivalent depth demonstrated through work Samba expects to offer a base salary between $150,000 - $180,000 USD per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Job DescriptionResearch Scientist – Post Training — AfterQuery Location: San Francisco, CA (Onsite) Compensation: $150,000 – $250,000 base | $250,000 – $450,000 total comp + equity About AfterQuery AfterQuery is an AI infrastructure company building training data and evaluation systems used by leading frontier AI labs. They work directly with top labs to improve model performance through high-signal datasets and experimentation. $30M raised at ~$300M valuation. Founding team from Jane Street, Citadel, Google, Goldman Sachs, and Stanford AI Lab. About the Role This is a post-training research role focused on proving that data drives measurable improvements in model performance. You will design and run controlled experiments to isolate the impact of datasets on LLM behavior — working directly at the edge of model development. The focus is not theoretical research but building, running, and validating experiments that produce clear, defensible results tied to model capability improvements. What You'll Own • Design and run controlled SFT and RL experiments to measure dataset impact on model behavior, • Isolate performance improvements across reasoning, tool use, long-horizon tasks, and domain workflows, • Quantify lift and performance changes across capabilities; interpret messy experimental results, • Prove that specific datasets lead to measurable improvements under defined conditions, • Translate results into clear, defensible outputs for partner AI labs, • Collaborate with internal teams to iterate on dataset quality and build shared experimental infrastructure, • Communicate findings directly with partner AI labs; support relationship building and revenue through validated resultsRequirements, • Strong familiarity with LLM training and evaluation methods including SFT and RL post-training, • Ability to design and execute lightweight experiments quickly, • Strong analytical instincts with ability to work through messy data, • Comfort working across domains including finance, software, policy, and enterprise workflows, • Bias toward building and execution over theory, • Undergraduate or master's research background preferredNice to Have, • Experience at RL environment companies, AI safety organizations, or benchmarking groups, • Experience running controlled training experiments end to end, • Published work in model evaluation, post-training, or data curation, • Strong software engineering skills alongside research experienceThis Role Is NOT For, • Pure research profiles without hands-on execution or shipping experience, • Those who prefer narrow domain focus, • Candidates unable to operate in ambiguous, experimental environmentsLogistics, • Role is fully onsite in San Francisco — please only apply if you can commit to this

Job Description Location: San Francisco, CA (Hybrid) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and Behind-The-Meter (BTM) battery storage. You will play a critical role in shaping our modeling and analytical data layer, leveraging machine learning techniques, supporting optimization modeling infrastructure, and developing scalable approaches to power Verse's software offerings. This position emphasizes strong technical depth in Python, machine learning, and analytical modeling, along with the ability to independently scope and execute complex projects end-to-end. Experience in electricity markets and energy systems is preferred. Key Responsibilities • Lead End-to-End Data Science Projects: Own and drive large projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions with minimal oversight., • Statistical & Machine Learning Modeling: Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product capabilities., • Analytics Engineering & Data Modeling: Perform complex data transformations and develop well-structured analytical data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets, with an emphasis on dimensional modeling and reproducibility (e.g., dbt-style workflows)., • Software Development & Productionization: Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems and model deployment pipelines in a cloud-based environment., • Exploratory Data Analysis & Insight Generation: Apply statistical methods and data exploration techniques to uncover insights, validate assumptions, and inform modeling approaches., • Machine Learning and MLOps: Contribute to Verse's machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production., • Cross-Functional Collaboration: Partner with product, engineering, and business stakeholders to ensure models and insights are aligned with user needs and effectively integrated into workflows., • Master's degree or higher in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field. A bachelor's degree with significant relevant experience may be considered., • 5+ years of professional experience in data science, machine learning, or a related field, • Proven track record of independently leading and delivering complex modeling or data science projects, • Experience deploying and maintaining models in production environments, • Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow), • Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation, • Experience in energy, climate tech, or related domains (not required), • Familiarity with optimization methods or operations research, • Experience with real-time or streaming data systems, • Prior experience mentoring or leading technical teams, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $190,000 - $230,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

Job Description About Nosis Bio Nosis Bio is an early-stage biotechnology company pioneering the future of receptor-targeted RNA therapeutics. By combining an AI-powered drug delivery and design platform with deep learning, we are unlocking the next generation of siRNA medicines. We are an all-scientist team of biologists, chemists, and machine learning experts that believe targeted extrahepatic delivery is the key to making RNA therapies the standard-of-care for chronic diseases. We combine deep expertise in receptor biology, generative AI, and high-throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics for new tissues. The Role We are seeking a highly driven and strategic Project Leader to spearhead one of our key therapeutic programs. You will be the central operational and scientific driver for this program, responsible for steering it from target initiation through to meaningful developmental milestones. Sitting at the intersection of biology, chemistry, and machine learning, you will ensure our cross-functional teams operate efficiently and hit critical objectives. You will also collaborate closely with executive leadership to ensure that day-to-day program execution seamlessly aligns with the overarching clinical strategy and defined Target Product Profiles (TPPs). Key Responsibilities * Program Leadership: Lead cross-functional project teams to define scope, objectives, and timelines for a key therapeutics program, driving it from initiation to critical developmental milestones. * Cross-Functional Execution: Develop and maintain integrated project plans, ensuring tight alignment across internal research efforts (In Vivo, Biology, Chemistry, and ML). * Strategic Alignment: Partner with clinical and technical leadership to ensure program milestones and scientific outputs support commercial viability and the clinical success criteria of our early-stage assets. * Risk Mitigation: Proactively identify potential scientific risks, operational bottlenecks, and resource constraints; develop actionable mitigation strategies to keep the program on track. * KOL & Advisory Board Leadership: Identify, build, and maintain deep relationships with Key Opinion Leaders (KOLs) and clinical experts across our target indications to validate and refine our internal product strategy. * Communication & Reporting: Serve as the hub for program information. Facilitate regular meetings, capture key decisions, and translate complex updates into clear status reports for the executive team and external stakeholders when necessary. Qualifications * Education: Advanced degree (PhD strongly preferred) in a Life Sciences discipline. BS/MS candidates with exceptional, highly relevant experience will be considered. * Experience: 5+ years of experience in the biotech or pharmaceutical industry, ideally with exposure to early-stage, fast-paced environments. Must have a proven track record of managing early-stage drug discovery or translational programs. * Domain Expertise: Strong foundational understanding of targeted therapeutics; specific experience with RNAi/siRNA or advanced drug delivery modalities is a significant plus. * Leadership Chops: Highly motivated problem-solver capable of leading without direct authority. Must be team-oriented and able to comfortably "speak the language" of biologists, chemists, and data scientists. Location: Ability to work on-site at our lab spaces in the Research Park at Marina Village (Alameda, CA).

Job DescriptionAbout Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Why Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency.About the RoleWe are seeking a highly motivated Marketing Associate to support the execution of marketing initiatives that drive brand awareness, lead generation, and customer engagement. This role is ideal for someone who is passionate about AI, robotics, logistics, and eCommerce innovation and thrives in a fast-paced startup environment.Key ResponsibilitiesCampaign Execution • Assist in planning and executing integrated marketing campaigns (digital, email, events, and content), • Coordinate campaign timelines, assets, and cross-functional stakeholdersContent & Communications, • Develop and manage marketing content including blog posts, case studies, social media, and email campaigns, • Translate complex robotics and AI concepts into clear, compelling messaging for target audiencesDigital Marketing, • Support SEO/SEM initiatives and website updates, • Monitor and optimize paid media campaigns (LinkedIn, Google Ads, etc.), • Track performance metrics and generate campaign reportsLead Generation & Sales Support, • Collaborate with sales to support lead nurturing campaigns and outbound initiatives, • Maintain CRM data hygiene and assist with marketing automation workflowsEvents & Partnerships, • Assist in planning trade shows, webinars, and industry events, • Coordinate logistics, promotional materials, and post-event follow-upsMarket Research, • Conduct research on competitors, industry trends (robotics, supply chain tech, eCommerce), and customer segments, • Identify new growth opportunities and marketing channelsQualifications, • Bachelor's degree in Marketing, Business, Communications, or related field, • 1–3 years of experience in marketing, preferably in B2B, SaaS, robotics, or logistics, • Strong written and verbal communication skills, • Familiarity with digital marketing tools (Google Analytics, HubSpot, Salesforce, etc.)Preferred, • Experience in a startup or high-growth tech company, • Interest or background in AI, robotics, or supply chain technology, • Basic understanding of data analysis and campaign performance metricsKey Skills, • Content creation & storytelling, • Analytical thinking and data-driven decision-making, • Project management and organization, • Adaptability in a fast-paced, evolving environment This position will also receive generous equity! Unlimited Flexible Time OffEnjoy the time you need to travel, rejuvenate, and connect with friends and family.Health InsuranceNimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.Paid Parental LeaveEnjoy paid bonding time following a birth.Commuter BenefitsTake the stress out of commuting with access to fully-paid parking spots. Referral BonusGet a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401kContribute towards a 401k for retirement planning.EquityBe an owner in Nimble through our equity programLink: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. A Lead Data Scientist is responsible for designing and implementi

As the data science team and offerings continue to scale, the Lead Data Scientist will have the opportunity to evolve into a Director of Data Science role, taking on increased responsibility for practice strategy, roadmap and executive-level engagement based on demonstrated impact and leadership. Th

Mentor junior data scientists and provide technical leadership across the project. Analyze healthcare datasets including claims, patient, provider, operational, or clinical data. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.

We are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. Job Description: Lead Data Scientist (Fintech / Banking). Lead, mentor, and grow a team of 5��