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We are seeking a skilled and motivated Field Application Scientist to join our Bioprocessing team. This role will serve as a key resource for Ecolab’s customer base and provide technical support to help customers develop efficient purification processes leveraging Purolite Resin’s innovate portfolio of chromatography products. The successful candidate will serve as a subject matter expert for Purolite Resins, partnering closely with Sales Managers, Product Management, Quality, and R&D teams to position Purolite Resins as a powerful, high-performance solution for downstream purification workflows. What You Will Do: * Provide technical leadership by demonstrating application and theoretical knowledge of chromatography and downstream purification to design-in Purolite Resins. * Deliver scientific support for purification activities at all scales—including discovery, process development, pilot, and cGMP manufacturing—as well as column packing assistance. * Work directly with end-users to understand purification objectives and address critical challenges. * Partner with Sales Manager to develop new opportunities and unlock maximum territory value. * Demonstrates strong critical thinking abilities, effectively communicates technical issues, addresses complex problems, and recommends scientifically sound, efficient, robust, and scalable solutions. * Develop and maintain business and technical relationships with accounts through effective communication on a frequent basis * Consistently maintain the CRM to reflect the current state of development within the territory. * Strategically position Purolite Resins in the context of addressing customer needs and process solutions. * Deliver technical seminars, training, hands-on bench work, product demonstration, conference engagements and technical customer service activities to support Commercial objectives. * Internal cross-functional responsibilities include liaising with Product Management, Marketing, R&D, and other functions. * Willingness to travel within the territory on a regular basis Minimum Qualifications: * BS required in biochemistry, Chemical Engineering, biotechnology, biology, chemistry or related and 12 years of experience * 5 years of relevant direct chromatography development experience in Process Development (PD) and/or MSAT. * Strong fundamental and practical knowledge of chromatographic techniques in protein/ large molecule purification. * Ability to operate and interpret data from an AKTA or alternative bench-scale chromatography development system and/or automated high throughput development systems, such as Tecan. * Experience in small-scale, pilot-scale and large-scale chromatography operations. * Knowledge of analytics used to support purification development activities including HPLC, ELISA, SDS-PAGE and spectroscopy and proficiency to interpret data. * Understanding of Design-of-Experiment (DOE) and/or statistics. * Strong written and oral communication skills * Ability to travel 50% of the time * No Immigration Sponsorship available for this role Preferred Responsibilities: * MS or PhD preferred * Good understanding and knowledge of the Biopharmaceutical/ Biotech industry. * Experience with small-scale, pilot-scale and large-scale column packing. * Experience in non-GMP Pilot plant and cGMP production operation. * Experience with filtration and other downstream unit operations. * Ability to effectively multi-task and manage multiple priorities at one-time. * Experience working in an external-facing role (FAS, Product Specialist, etc.) Annual or Hourly Compensation Range The total Compensation range for this position is $157,900-$236,900 which includes base pay and target incentive based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. ___ to see our benefits. If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to: • Undergo additional background screens and/or drug/alcohol testing for customer credentialing., • Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website. Our Commitment to a Culture of Inclusion & Belonging At Ecolab, we believe the best teams are inclusive. We are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants and recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran. In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Clinical Data Scientist – Hybrid or Remote Overview A growing organization in the healthcare and life sciences technology space is seeking a Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis‑ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail‑oriented, technically versatile, and passionate about delivering high‑quality clinical data. You will work closely with cross‑functional teams—including Clinical Operations, Data Platform Engineering, and AI/ML teams—to ensure accuracy, traceability, and compliance across all data outputs. This role may be hybrid or fully remote; candidates in the SF Bay Area are preferred but not required. Key Responsibilities Data Transformation & Delivery • Convert raw, manually abstracted, and AI‑processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models., • Perform comprehensive data cleaning and validation checks., • Partner with engineering teams to automate data cleaning and validation workflows., • Follow all applicable privacy, security, and compliance requirements (e.g., HIPAA)., • Promote ethical handling of sensitive clinical data. Qualifications Education • Strong proficiency in SAS, R, Python, and SQL., • Familiarity with version control (Git) preferred., • Experience with CDISC SDTM/ADaM standards., • Demonstrated expertise in cleaning and stitching complex datasets., • Ability to work with unstructured text or NLP‑derived outputs is highly desirable., • Exceptional attention to detail and accuracy., • Strong written and verbal communication skills., • Travel: Up to 5%, • Compensation: Competitive salary range based on experience, qualifications, and location., • Eligible for equity, annual performance bonus, and comprehensive benefits.

Clinical Data Scientist Redwood City, CA (Hybrid potentially remote options) Salary: $140,000-$180,000 No Sponsorship Available About the Role We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives. In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems. You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally. This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development. What You’ll Do • Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models., • Ensure outputs meet quality, compliance, and traceability standards., • Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using R or Python., • Perform robust data cleaning and QC checks., • Investigate anomalies and troubleshoot issues across the data pipeline., • Distinguish between upstream extraction issues and true clinical variations., • Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic., • Serve as an early user and feedback partner for internal data tools., • Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides)., • Support compliance and regulatory submission needs., • Complete internal and external analysis requests to support clinical insights, client value, and platform performance., • Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance. What You Bring • Education:, • BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field., • Experience:, • 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech., • Technical Strengths:, • SAS, R, Python, SQL, • Experience with Git/version control preferred, • Industry Knowledge:, • Familiarity with clinical trial workflows, • Strong understanding of CDISC SDTM/ADaM, • Oncology endpoints (RECIST, survival) and RWD experience is a plus, • Data Wrangling:, • Comfort “stitching together” messy, real‑world clinical datasets, • Experience with unstructured text or NLP outputs is desirable, • Soft Skills:, • Exceptional attention to detail, • Clear, structured communicator, • Proactive, self‑directed, collaborative

Scientist, iPSC Differentiation San Francisco Bay Area About Oculus is partnered with a Bay Area biotech creating advanced iPSC‑based technologies designed to enable new applications in human biology and long‑term health innovation. You will use mouse-derived stem cell platforms, including both embryonic and induced pluripotent lines, to establish robust methods and produce consistent datasets that can be adapted for studies in human models. This role calls for someone with substantial hands‑on expertise in guiding stem cells through differentiation and a solid grasp of developmental biology. The Role • Develop and refine methods for generating and maintaining new induced pluripotent stem cell (iPSC) lines in model systems, • Culture, differentiate, and genetically modify pluripotent stem cells using modern genome‑engineering approaches, • Improve and standardize differentiation workflows to produce diverse cell types from pluripotent sources, • Lead experimental planning, troubleshooting, and protocol development for complex in‑vitro cell‑based studies, • Analyze experimental data, present findings to the team, and contribute to broader process optimization, • Maintain thorough documentation, data tracking, and clear communication of progress across projects Qualifications • PhD in Cell, Developmental, or Stem Cell Biology, • Expertise in iPSC/ESC differentiation into complex cell types, • Strong foundation in developmental biology and stem cell biology, ideally in mouse systems, • Experience with computational techniques such as scRNAseq, Smart-seq2, ATAC-seq, • Strong scientific foundation evidenced by first-author publications in top journals, • Mission-driven mindset and enthusiasm for high-impact work

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.

⚡ Recruiting Partner 🌎 San Francisco Bay Area, USA (onsite) 💸 $120,000 - $180,000 salary + bonus The role Recruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not a typical "recruiter" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab. In a high-growth environment, the "bottleneck" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with "white-glove" precision. Responsibilities: 1. High-Volume Coordination & Scheduling (Primary Focus) • The "Scheduling Engine": Manage the complex, multi-stage interview calendars for all regional and international roles. This includes coordinating across multiple time zones., • Panel Optimization: Work with People Operations and Team Leads to ensure interview panels are balanced, diverse, and technically aligned. -Candidate Experience: Act as the primary point of contact for candidates, ensuring they are briefed, prepared, and supported from initial outreach to offer. 2. Full-Cycle Research Recruiting • Strategic Sourcing & Market Mapping: Conduct deep-market research and mapping to identify and engage world-class PhD talent across core and emerging AI domains, including Reinforcement Learning (RL), Post-training, Vision-Language Models (VLM), Diffusion, World Models, and Infrastructure., • End-to-End Search Management: Lead the full recruiting lifecycle from initial intake sessions with hiring managers to final closing. Develop tailored hiring strategies for niche research roles., • Stakeholder Management: Partner directly with Research Leadership and Team Leads to define role requirements, refine job descriptions, and calibrate candidate profiles through regular feedback loops., • Consultative Candidate Management: Serve as a brand ambassador and consultant to candidates, articulating the lab’s unique mission and technical roadmap to convert high-passive talent. 3. Talent Operations & Infrastructure • Compliance & Audit Readiness: Ensure all recruiting processes, documentation, and data tracking are fully compliant with federal and state labor laws (e.g., EEO, CCPA, and relevant California labor codes). Maintain an "audit-ready" environment for all hiring records and candidate data., • ATS Mastery: Take full ownership of our Applicant Tracking System. Ensure 100% data integrity, manage the referral pipeline, and provide weekly "Health of the Pipeline" reports to leadership., • Process Building: Evaluate and improve our hiring workflows. You will build the templates and playbooks that allow us to scale significantly., • Brand Ambassadorship: Help represent the lab at top-tier conferences to build our local and global talent brand. Requirements: • 8+ Years of Experience: Proven track record in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms., • Research Literacy: You must understand the difference between a "Software Engineer" and a "Research Scientist." Familiarity with the ML research ecosystem and PhD hiring cycles is essential. • Mastery of Complexity: Exceptional organizational skills. You should thrive in the "logistical puzzle" of scheduling multiple complex interview rounds per day without errors. -Communication: Ability to communicate with high-seniority executives and elite academic researchers with professional poise. • Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus), LinkedIn Recruiter, and productivity suites. Why apply: • Opportunity to build out a new division at the forefront of AI innovation, • FAANG competitive salary & package, • Work alongside superstars from FAANG labs & leading AI companies, • Medical, Dental and Vision Insurance, • Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at

Kelly® Science & Clinical is seeking a Scientist for a future opportunity with a client in the Bay Area. If you are driven by the prospect of translating cutting-edge scientific discoveries into tangible advancements and are poised to advance your career, join us as we pioneer progress in the biotechnology and medical device industries. Workplace: Onsite in the San Francisco, Bay Area Position Title: Scientist Position Type: contract Pay rate: $45-65 per hour Overview A rapidly growing biotechnology start-up is seeking highly motivated scientists with advanced degrees (M.S. or Ph.D.) and 1–3 years of experience in the biotech or pharmaceutical industry. This is an exceptional opportunity for individuals passionate about technology-driven innovation to join a dynamic and collaborative team dedicated to advancing human stem cell applications. Qualifications • Demonstrated expertise in mammalian cell culture, including human and rodent cell lines, stem cells, primary cells, and their various workflows., • Hands-on experience designing, developing, and optimizing reporter assays to industry standards., • Proficiency in flow cytometry, cell sorting, quantitative PCR (qPCR), and immunocytochemistry (ICC) techniques., • Proven track record developing and executing in vitro cell-based assays across 2D, 3D, spheroid, and organoid models., • Meticulous technical writing skills and strong oral communication ability, complemented by excellent organizational acumen., • Significant experience with human stem cell research and stem cell culture techniques., • Comprehensive knowledge of cell-based assay design and data interpretation., • Familiarity with GMP/GLP laboratory practices and quality systems is advantageous., • Exposure to cell culture automation technologies is a strong plus. Ready to accelerate your biotech career in one of the world’s leading innovation hubs? Apply today! If your qualifications align with the requirements of this role, we invite you to apply and take the next step in your career journey. Rest assured, even if this opportunity isn't the perfect match, your profile will remain within our network, ensuring you're connected to a wealth of future opportunities in the field of science and clinical research

Our client is a VC-backed startup developing in vivo genetic medicines to engineer the transcriptome and genome of diseased cells. They are combining protein and nucleic acid engineering, high-throughput screening, genomics, and computational biology to build a platform for rapid development and optimization of new therapies. The Opportunity: We are seeking a Head/Snr. Director of Computational Sciences to lead our client's full computational function: software/informatics infrastructure (LIMS), embedded research informatics, bioinformatics, machine learning and scientific computing. This role manages a team of approximately six scientists and engineers, including a Sr Fellow (Informatics), a Principal Scientist, 2 Staff Scientists, and 2 Senior Scientists. The Head/Snr. Director’s highest-leverage contributions will be in driving execution across the computational stack, managing people development for the full team, and leading the infrastructure and bioinformatics functions. This person will be a technical leader across the organization—not only managing the computational team but driving improvements in experimental design and data practices across R&D, while building the software tools and infrastructure that make those improvements practical and sustainable. ML strategy is set collaboratively with the COO; the Head/Snr. Director translates that direction into team priorities while bringing their own technical depth to software systems, data architecture, and analytical rigor. This role has a clear growth trajectory toward VP/Head of Research Technology as the company scales. Primary Responsibilities: People Management & Strategic Contributions • Manage a team spanning a wide range of seniority, disciplines, and working styles; foster a culture of commitment to craft, rigor, transparency, and collaboration, • Navigate interpersonal dynamics constructively, modeling productive conflict resolution, • Build productive partnerships across the R&D organization, combining technical leadership—driving adoption of principled experimental design, standardized workflows, and computational best practices—with strong product discipline around requirements gathering, user training, and iterative delivery of tools and pipelines that scientists actually use, • Provide leadership on the evaluation and implementation of AI productivity tools across R&D, including coding agents and chat-based assistants, ensuring adoption is practical, secure, and integrated into team workflows, • Provide hands-on technical leadership for our client's custom LIMS and supporting software infrastructure, • Own the LIMS and infrastructure roadmap execution, with clear milestones and a structured process for capturing and prioritizing feature requests, • Collaborate with the Senior Fellow (Informatics) and other members of the LIMS team on roadmap, technical architecture decisions, and software engineering best practices, • Manage bioinformatics team members, ensuring pipelines meet the quality, rigor, and turnaround requirements of therapeutic programs and platform technology development projects, • Oversee guide/primer design, sequencing analysis, off-target analysis, flow cytometry analysis automation, and genomic characterization workflows, • Partner with the COO on ML strategy—particularly around active learning and statistical experimental design—and translate that into team execution plans, • Oversee predictive model development, data pipelines, and computational tools that support therapeutic programs and platform technology development Qualifications: • 10+ years in computational biology, bioinformatics, or research software engineering in biotech/pharma, with 4+ years managing multi-disciplinary technical teams, • Strong software engineering background: application development, database design, API architecture, cloud infrastructure (AWS preferred), • Working knowledge of ML concepts with the ability to manage ML scientists and translate strategic direction into execution; deep ML expertise is a plus but not required, • Experience with bioinformatics pipelines (amplicon, WGS, RNA-seq, or similar) and LIMS or research data platforms, • Working knowledge of AI productivity tools, including chat-based assistants and coding agents, with a perspective on how to deploy them effectively in a research software environment, • Strong communication skills with the ability to influence across technical and scientific audiences, from computational engineers to bench scientists to executive leadership, • Track record of managing and developing scientists and engineers across disciplines and seniority levels, including senior ICs Education: PhD in computational biology, bioinformatics, computer science, or related discipline with 10+ years industry experience; or MS with 14+ years. Background spanning software systems and quantitative biology strongly preferred. Preferred Qualifications: • Experience in gene therapy, gene editing, or genetic medicine development, • Direct experience developing custom LIMS or research software platforms, • Familiarity with molecular cloning and construct design workflows, NGS library preparation, and common sequencing approaches (amplicon, long-read, whole-genome), • Familiarity with active learning, Bayesian optimization, or statistical experimental design in biological engineering, • Experience in a fast-paced, resource-constrained startup environment

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

The Opportunity We're building the data layer that every AI drug discovery will run on. Backed by an Nvidia VP. Working with top AI labs, global tech company and global pharma. Growing fast. We need a scientist who can lead—not just manage. The Role You'll be the person who ensures our data is world-class. • Run day-to-day operations across multiple concurrent projects — tracking progress, hitting deadlines, nothing falls through the cracks, • Own data quality end-to-end — personally examine, validate, and enforce scientific rigor at every stage, • Manage a distributed network of PhD expert contractors — recruit, brief, review, and iterate, • Translate client scientific needs into precise data specifications and collaborate with AI engineers to improve data generation pipelines You're a scientist first. You understand the science. You ensure the quality. You build the system. You • Hands-on experience managing expert contributors and owning data quality delivery at a tech-enabled scientific data or AI training data company (required), • Proven ability to run multiple complex projects simultaneously under real deadline pressure (required), • PhD in life sciences — biology, bioinformatics, pharmacology, or related (strong plus), • Pharma/biotech domain experience (strong plus), • Detail-obsessed, fast-moving, builder mentality Why Join • Founding team. Real equity. Real impact., • The intersection of AI + drug discovery. The most exciting space in biotech., • Backed by Nvidia VP. Working with Google, OpenAI, top pharma., • Your work will train the AI models that discover the next breakthrough drug. Apply If You're a scientist who's tired of big pharma bureaucracy. You want to build infrastructure that matters. You want to be early at a company that's going to be big.

Research Engineer – Formal Methods & Reasoning Systems (AI Safety Focus) Acceler8 Talent is working with an AI research lab to explore new directions in AI alignment and interpretability, with an emphasis on moving beyond purely empirical techniques toward more rigorous, structured approaches. They are interested in incorporating ideas from fields such as programming languages, formal verification, and program analysis to better understand and reason about model behavior. This position is well-suited for individuals who may not have a traditional machine learning background but bring strong expertise in formal systems, abstraction, and rigorous reasoning, and are interested in applying those skills to AI safety challenges. Key Responsibilities • Investigate how concepts from formal verification and program analysis can be applied to understanding the internal behavior of machine learning models, • Develop experimental tools that integrate structured reasoning techniques with interpretability methods, • Work closely with research teams to design new abstractions for analyzing and constraining model behavior, • Prototype approaches that move toward verification-inspired safety assurances for AI systems, • Contribute to shaping emerging research directions within the organization Example Areas of Work • Adapting compiler-inspired abstractions to represent and analyze internal model computations, • Creating structured methodologies for reasoning about activation-level behavior and model circuits, • Building tooling that combines interpretability techniques with constraints influenced by verification principles, • Exploring program analysis techniques to identify potentially unsafe reasoning patterns within models Qualifications • Strong background in areas such as programming languages, compilers, systems research, formal verification, or related fields, • Experience in theorem proving, security research, operating systems, or similar domains is valuable, • Demonstrated ability to think abstractly and build novel research systems or tooling from the ground up, • PhD is preferred

Our On-Demand Talent Solutions team is partnering with our trusted client to identify a Director-level Clinical Scientist. Our client is a biopharmaceutical company developing next-generation targeted therapies for cancer. This role is ideal for a drug development professional passionate about translating innovative science into meaningful clinical outcomes. Summary: The Clinical Scientist will lead aspects of protocol development, study planning, data generation, analysis, and reporting as well as work cross-functionally to deliver high-quality data and insights that move programs forward. Responsibilities: • Lead design and execute clinical deliverables to support the CDP, including INDs, protocols, IBs, and study documents (CRFs, SAPs, data listings)., • Oversee clinical data generation, validation, and review, including query resolution, patient eligibility, and protocol deviation management., • Perform study subject-level data analysis to inform clinical development strategy and reporting., • Partner with medical teams, advisors, and Health Authorities, including support for HA/IRB interactions and responses., • Contribute to therapeutic area research, KOL/investigator engagement, and development of scalable clinical processes. Qualifications: • A minimum of 8 years of relevant experience and an advanced degree (PharmD, PhD, MD, MSN, PA, MPH, etc.), • Strong background in small molecule therapies and oncology clinical development., • Experience in hematology required., • Experience in early phase clinical trials required.

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do • Perform bioinformatics analysis and provide drug development expertise for assigned work., • Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome), • 3+ years of bioinformatics research experience Offer Details • Commitment: 15–30 hours/week (with overlap in PST), • Compensation: Highly competitive, top 10% of industry rates, • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

We are hiring a Senior Associate Scientist to review analytical data and electronic notebook entries for accuracy and adherence to SOPs. This is a fully remote part-time position with flexible working hours that requires strong organizational skills, clear communication, and a high level of attention to detail. This is a 12-month contract position offering 20-30 max hours per week. Responsibilities • Review analytical assay data for adherence to SOPs and accuracy., • Review electronic notebook entries for completeness and accuracy., • Track shipping details for vendor-supplied samples., • Draft and update data analysis templates to reflect new and updated analytical methods and for continuous improvement., • Maintain organized records of review status of notebook entries and analytical data., • Contribute to reports, certificates, and other documentation supporting process development., • Collaborate effectively with team members and contribute to cross-functional activities. Qualifications • BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience., • At least 2 years of experience in an analytical development or quality control role., • Prior experience running colorimetric assays is required., • Prior experience with SEC-MALS is required., • Prior experience with SDS-PAGE is required., • Excellent attention to detail, organizational skills, and record-keeping abilities., • Ability to work both independently and collaboratively in a fast-paced environment., • Commitment to integrity, professionalism, and safety in all aspects of work. Pay • $56.00-$62.00/hr R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Role: Product Development Scientist /Food Scientist Location: Emeryville, CA 94608 (3-5 days a week) Duration: 7 months What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: • Food science, science, or engineering ideally in a fast-moving consumer goods market, • Working on teams and independently with the guidance of a manager, • Personal drive and organization, • Prioritizing and managing activities, • Planning and executing work plans with some supervision, • Identifying problems proactively and creating and implementing solutions independently (problem solving), • Applying fundamental technical understanding to interpret and analyze data to reach clear conclusions, • Communicating effectively verbally and in writing, including technical writing, • Putting the consumer at the heart of development activities More about this role What you need to know about this position: You will be working at Client's, the leading bar brand in the category. Great learning with experienced developers and best performing team. You will experience a wide range of projects including: • Innovation: near term innovation and renovation, • Core maintenance: Resolve quality issues, BCP, Margin and support plant performance improvement, and other duties as assigned, • Making benchtop samples to support development work; shipping and receiving samples and ingredients Education: • BS in Food Science, Chemical Engineering or related field Job specific requirements: • 1-3 years of experience in related field, • Strong technical foundation and technical curiosity, • Participate in cross functional teams to identify and resolve technical issues., • Write process specifications that deliver consistent, high-quality products across numerous manufacturing facilities., • Excellent written and oral communication

Business Development Manager – Antibody Platform Licensing San Francisco Bay Area A rapidly growing biotechnology organization with a cutting edge antibody discovery platform is seeking a Business Development Manager to support global partnering and licensing efforts. This is a unique opportunity for a scientifically driven professional to transition into a commercial role - no prior BD experience required, full training provided! 🔬 The Role You will work at the intersection of science and business, helping to position proprietary antibody platforms and assets to pharmaceutical and biotech partners. This role is ideal for someone with deep antibody discovery expertise who is interested in moving into a client-facing, strategic partnering role. 🧪 Key Responsibilities • Support licensing and partnering discussions for antibody discovery platforms and therapeutic assets, • Translate complex scientific data into clear, compelling value propositions for external partners, • Engage with biotech and pharma companies to understand pipeline needs and align platform capabilities, • Participate in partner meetings, presentations, and scientific discussions, • Collaborate cross-functionally with R&D and leadership to shape partnering strategy ✅ Requirements • PhD (Pharmacology, Immunology, Cancer Biology, or related biomedical field), • Strong hands-on experience in antibody discovery and early development, including:, • Target validation, • Hit-to-lead optimization / early discovery workflows, • Data interpretation (affinity, specificity, in vivo efficacy), • Familiarity with antibody modalities (monoclonal antibodies, bispecifics, ADCs), • Ability to translate scientific insights into therapeutic and partnering narratives, • Strong communication and presentation skills with the ability to engage diverse stakeholders, • Strategic mindset with interest in external partnerships and licensing 🌟 Why This Role? • Opportunity to transition from bench to business, • Work with a highly differentiated antibody platform, • High visibility role with exposure to global pharma partnerships, • Strong career growth within a rapidly expanding organization *Starting salary $110k with a review after completion of training also end of year bonus on top.

$65 - $130/hourpaystatistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Data Scientist Consumer Growth, Quantitative Modeling & Applied ML 📍 San Francisco, CA — On-site 5 Days/Week 💰 Base Salary: Up to $400K + Significant Equity 🚀 Visa Sponsorship & Relocation Available Triumph Labs is a profitable, hyper-growth consumer entertainment platform processing billions in annual volume across two #1 App Store products. We are hiring a high-impact Data Scientist to join a small elite quantitative team focused on monetization, experimentation, retention, pricing systems, and predictive modeling. You will work closely with leadership and directly influence revenue, growth, and product strategy. What You’ll Do • Analyze large-scale user data to uncover insights driving retention, monetization, and growth, • Build dashboards, experimentation frameworks, LTV models, and predictive analytics systems, • Design and optimize pricing engines, payout structures, and revenue-driving features, • Partner closely with product and engineering teams to launch data-driven initiatives, • Run A/B tests and measure real business impact, • Mentor junior team members and help scale the data organization Must Haves 1. Experience • 2 + years of experience in data science, analytics, quantitative research, or applied ML, • Strong background from:, • High-growth Series B+ startups, • Top consumer tech companies, • Quant trading firms Examples: Uber, TikTok, Netflix, Robinhood, Optiver, Jane Street, Citadel, etc. 2. Technical Skills Required • Advanced Python proficiency, • Strong SQL proficiency Deep Expertise In At Least One: • Probability, • Statistics, • Applied Machine Learning 3. Education • Bachelor’s degree in a quantitative field:, • Computer Science, • Mathematics, • Statistics, • Physics, • Engineering, • Strong academic background in a quantitative discipline from a top-tier university preferred Examples include Stanford, MIT, Berkeley, Caltech, Carnegie Mellon, Princeton, etc. Ideal Candidate Archetypes Archetype 1 — Generalist Senior Data Scientist (Most Preferred) Broad analytics and growth experience with ability to mentor others and operate as a right-hand partner to the Head of Data Science. Archetype 2 — Consumer / Marketplace Data Scientist Strong B2C growth experience with hands-on work in dashboarding, LTV modeling, experimentation, and measurable revenue impact. Archetype 3 — Quant Trader / Researcher Strong probability, game theory, optimization, or quantitative trading background. Archetype 4 — ML Engineer / Applied Scientist Hands-on model deployment experience with predictive systems, recommendation models, or experimentation infrastructure. Why Join Triumph Labs • Profitable company with millions of users and hundreds of millions in revenue, • Raised $65M+ from General Catalyst, Drive by DraftKings, and Goodwater Capital, • Small elite team with massive ownership and visibility, • Real-time impact on products used by millions of users, • Fast interview process with strong compensation and equity upside Interview Process • 15-minute intro call, • 45-minute technical interview, • Final on-site interview in San Francisco

We are looking for a scientist with hands-on experience in animal models to support the development of gene-based therapies for oncology applications. This individual will play a key role in planning and carrying out preclinical studies, contributing to the advancement of internal research programs. The role suits someone with expertise in tumor biology and pharmacology who enjoys working across teams in a fast-paced research environment. Qualifications of the In Vivo Scientist • PhD in a relevant life sciences field such as immunology, cancer biology, or related discipline, • Several years of practical experience working with tumor-bearing animal models in either academic or industry settings, • Proven ability to independently design and execute studies and draw meaningful conclusions from data, • Experience with in vivo techniques such as surgical procedures and compound administration, • Familiarity with cell-based assays, tissue processing, and analytical methods such as flow cytometry; additional histological techniques are beneficial, • Experience with cell culture systems, • Strong attention to detail and organizational skills, • Effective communicator with the ability to work collaboratively across functions, • Exposure to regulated research environments is advantageous Key Responsibilities of the In Vivo Scientist • Plan and carry out in vivo studies in partnership with multidisciplinary teams, ensuring alignment with project timelines and objectives, • Identify and implement suitable animal models and experimental approaches to assess therapeutic activity, safety, and biological mechanisms, • Conduct laboratory-based animal work, including dosing via multiple routes, tumor model establishment, imaging techniques, and routine monitoring, • Handle and process biological samples, including cell isolation and analysis using flow cytometry and immunoassays, • Analyze and interpret experimental findings, maintaining clear and thorough documentation, • Coordinate with external research organizations and collaborators as needed

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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 ___. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale Generative AI experiences - including Pinterest Assistant and Canvas - ensuring these products are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's responsible AI mandate within the Advanced Technology Group (ATG). In this role, you will design and build the data science foundations for automated adversarial testing of our GenAI products - developing attack strategies, evaluation frameworks, and harm-detection methodologies that operate at scale. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety specialists, Policy teams, and Product Managers. You are expected to develop a deep understanding of generative AI vulnerabilities, and generate insights and robust methodologies to proactively surface and mitigate risks. The results of your work will directly influence product safety, policy compliance, and user trust across Pinterest. What you'll do • Design and develop automated adversarial testing methodologies - including single-turn, multi-turn, and multimodal attack strategies - to proactively identify vulnerabilities in Pinterest's Generative AI products., • Build and calibrate hybrid evaluation pipelines combining LLM-based judges, classifiers, and rule-based systems to accurately detect safety violations, policy breaches, bias, and representational harms., • Develop and operationalize harm taxonomies grounded in industry standards and Pinterest's Responsible AI and Trust & Safety threat models., • Design adaptive refinement loops that learn from attack outcomes (near-misses, partial failures) to iteratively surface deeper and previously unknown vulnerabilities., • Bring scientific rigor and statistical methods to the evaluation of AI safety - including benchmark dataset construction, evaluation calibration, and success-metric definition (vulnerability severity, coverage breadth, pre-launch risk reduction)., • Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML engineers, Trust & Safety specialists, policy teams, product managers, and legal partners to ensure safe product launches., • Relentlessly focus on impact, whether through influencing product safety strategy, advancing responsible AI metrics, or improving critical evaluation processes., • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and hands-on experience in one or more of: AI safety, adversarial machine learning, red teaming, responsible AI, or trust & safety., • Deep familiarity with large language models (LLMs), generative AI systems, and their failure modes - including prompt injection, jailbreaks, bias, and safety violations., • Experience designing and calibrating evaluation frameworks for AI systems - including LLM-as-judge, classifier-based evaluation, and benchmark dataset construction., • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines and large-scale experimentation., • Familiarity with AI safety taxonomies and frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) is strongly preferred., • Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership., • Excellent written and verbal communication skills, with the ability to explain complex technical findings to both technical and non-technical partners., • A team player eager to partner across Responsible AI, Trust & Safety, Product, Engineering, Policy, and Legal to turn safety insights into action. This position is not eligible for relocation assistance. #LI-NM4 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Title: Associate Scientist Location: South San Francisco CA – 100% onsite Duration: 12 Months with possible extension Terms: Contract W2 Description: 100% onsite in South San Francisco, CA. 1 year initial contract, possibility of extension Flexible scheduling available (typical core hours around 9:00 AM–5:00 PM; earlier schedules such as 7:00 AM–4:00 PM or 6:00 AM–3:00 PM acceptable). Team focus is cell surface biology research. The ideal candidate will have strong hands-on tissue culture experience within a biotech, pharmaceutical, or advanced academic laboratory setting, with demonstrated exposure to molecular biology techniques and flow cytometry workflows. Candidates with experience supporting high-throughput tissue culture systems, 96-well assay formats, RNA-based workflows, organoids, or next-generation sequencing support activities will be highly competitive. The hiring team is seeking an adaptable, technically strong laboratory professional with broad assay exposure, excellent bench skills, and the ability to operate effectively in a highly collaborative, onsite research environment. Responsibilities – • Prepare key tissues and samples for transcriptomic and proteomic assays, • Culture in vitro models including cell lines and organoids for discovery efforts, • Prepare and implement molecular and biological tools for experimental studies, • Contribute to profiling experiments, including transcriptomics, proteomics, imaging, and cytometry-based assays, • Make actionable decisions as a technical expert, • Collaborate closely with other team members on experimental design and execution, • Present research findings at internal team meetings Education Preferences • Master’s degree strongly preferred., • Bachelor’s degree candidates may still be considered if they possess strong hands-on laboratory experience and relevant industry exposure. Top 3 Must Have Skill Sets: tissue culture RNA/DNA molecular biology flow cytometry Intake notes: Technical Skills • Strong tissue culture experience required., • Molecular biology background required, including RNA/DNA handling., • Flow cytometry experience required., • Experience supporting high-throughput tissue culture environments strongly preferred., • Familiarity with 96-well plate-based assays preferred., • Demonstrated laboratory research experience required.

Senior Andrologist (California CLS Required) – Fertility Clinic Job Summary The Senior Andrologist is responsible for performing and overseeing advanced andrology and reproductive laboratory procedures within a fertility clinic setting. This role supports male fertility evaluation, endocrine testing, and assisted reproductive technologies (ART) by performing semen analyses, sperm preparation, and hormone testing while ensuring compliance with California laboratory regulations. The Senior Andrologist also supervises andrology laboratory operations, maintains quality control standards, and collaborates closely with reproductive endocrinologists, embryologists, and clinical staff to support patient care. Key Responsibilities Andrology Laboratory Testing • Perform diagnostic semen analysis according to WHO guidelines and laboratory protocols., • Conduct advanced sperm function testing including:, • Morphology assessment, • Motility and vitality analysis, • Sperm concentration and total motile count, • DNA fragmentation testing when applicable, • Prepare sperm samples for assisted reproductive technologies (ART) including:, • Intrauterine Insemination (IUI), • In Vitro Fertilization (IVF), • Intracytoplasmic Sperm Injection (ICSI), • Process surgical sperm retrieval samples including TESA, PESA, and micro-TESE. Endocrinology & Hormone Testing • Perform and oversee reproductive endocrinology testing related to fertility diagnostics., • Operate immunoassay analyzers including Roche Cobas e411 for hormone testing (e.g., FSH, LH, Estradiol, Progesterone, AMH, Testosterone, hCG, Prolactin)., • Perform linearity verification and calibration verification (CALVER) as required by laboratory validation protocols., • Conduct and document CAP Proficiency Testing (PT) in compliance with CLIA and CDPH regulations., • Troubleshoot analyzer performance issues and perform corrective actions as needed., • Perform routine and scheduled instrument maintenance, calibration checks, and functional verification of the analyzer., • Monitor assay performance and maintain quality documentation for regulatory inspections. Sperm Banking & Cryopreservation • Perform sperm cryopreservation and thawing procedures for fertility preservation and donor banking., • Maintain specimen tracking and chain-of-custody documentation., • Ensure compliance with CAP, CLIA, FDA tissue regulations, and California Department of Public Health (CDPH) requirements. Laboratory Operations & Quality Management • Maintain compliance with California Clinical Laboratory licensing regulations., • Implement and maintain laboratory quality assurance and quality control programs., • Perform method validation, verification, and instrument performance checks., • Assist with preparation for CAP, CLIA, and CDPH laboratory inspections., • Maintain laboratory documentation, standard operating procedures (SOPs), and regulatory records. Leadership & Training • Supervise and train andrology and laboratory technologists., • Ensure staff competency and continuing education compliance., • Assist in development and updates of laboratory SOPs., • Participate in laboratory audits and regulatory readiness activities. Clinical Collaboration • Work closely with reproductive endocrinologists, urologists, embryologists, and nursing staff., • Provide consultation regarding male fertility testing, sperm preparation methods, and endocrine laboratory results., • Participate in multidisciplinary patient case discussions and treatment planning. Required Qualifications Education • Bachelor’s degree or higher in Clinical Laboratory Science, Biology, Biochemistry, or related field. Licensure • Active California Clinical Laboratory Scientist (CLS) License issued by the California Department of Public Health (CDPH). Experience • 5+ years of laboratory experience, preferably in fertility, andrology, or reproductive medicine laboratories., • Experience performing semen analysis, sperm preparation for ART, and hormone immunoassay testing., • Experience operating and troubleshooting Roche Cobas e411 or similar immunoassay analyzers. Preferred Qualifications • Experience working in IVF or assisted reproductive technology laboratories., • Familiarity with CAP accreditation standards, CLIA requirements, and CDPH regulations., • Experience with instrument validation, proficiency testing programs, and regulatory inspections. Key Skills • Advanced knowledge of male fertility diagnostics and semen analysis techniques, • Expertise in ART sperm preparation methods, • Strong knowledge of endocrinology testing and immunoassay instrumentation, • Ability to troubleshoot laboratory instruments and perform technical maintenance, • Thorough understanding of CAP, CLIA, and CDPH regulatory compliance, • Strong attention to detail and laboratory documentation practices, • Effective leadership and communication skills Work Environment • Fertility clinic laboratory setting, • Handling of human reproductive specimens and biological materials, • May require early morning, weekend, or on-call work depending on clinical schedules

Company Description HealMint is revolutionizing healthcare by creating a next-generation platform that integrates all aspects of an individual's medical needs into one intelligent system. Rather than simply monitoring health, HealMint actively manages it, enabling users to focus on living their lives to the fullest. We aim to streamline health management with cutting-edge technology and a patient-centric approach. We are a team and advisors from Stanford University Hospital and top 10 national health insurance company. We are backed by the Stanford incubator, top national healthcare incubator and VC. Join us in shaping the future of proactive and personalized healthcare. Role Description We are seeking a high-level Clinical Data Scientist to architect the next generation of our predictive healthcare engine. You will be responsible for the deployment of high-performance models using large-scale, longitudinal clinical data. You have the chance to build the most powerful predictive healthcare modeling with the top hospitals and report to CEO directly. Qualifications Technical Qualifications: • Advanced Modeling Stack: Expert-level proficiency in Stacked Ensembles, Gradient Boosting (XGBoost etc.), Random Forests and Survival Modeling/Survival Analysis., • Clinical Data Architecture: 2+ years of direct experience working with EHR/EMR datasets. Expert fluency in ICD-10, SNOMED-CT, CPT, and HL7/FHIR standards. LLM & NLP Pipelines: Experience building RAG pipelines and working with Large Language Models for clinical data extraction and synthesis. • Explainability & Attribution: Mastery of SHAP or similar frameworks for model driver attribution and interpretability., • Data Engineering: Elite Python and SQL skills with experience in production-grade ETL pipelines and multi-modal data harmonization (Labs, Pharmacy, Procedures, Vitals). Requirements: • Professional Experience: 2+ years of direct experience in clinical data science or health informatics., • Education: M.S. or PhD in Bioinformatics, Clinical Informatics, healthcare data engineeimg from a top university., • Logistics: Full-time (8:00 AM – 5:00 PM), in-person at the Mountain View, CA office (5 days a week). Compensation: $3,000 – $5,000/mo starting stipend for the intial project with rapid salary scaling based on performance.

About Us Deciphr Health is a seed-stage biotech developing programmable DNA nanostructures for next-generation point-of-care diagnostics. Our first clinical application targets preeclampsia screening — a condition that affects 1 in 25 pregnancies with no adequate rapid test. We're building from our R&D lab in San Carlos, CA. The Role You'll own the aptamer discovery pipeline end-to-end: from SELEX campaign design through NGS-based candidate selection to biochemical characterization of lead binders. This is a hands-on bench role with high autonomy — you'll be the team's go-to expert on nucleic acid selection, modification, and bioconjugation. You'll also contribute to our broader DNA nanostructure platform (with internal training provided). What You'll Do • Design and run SELEX campaigns (affinity-based and capture-release formats) against clinically relevant protein targets, • Perform site-specific bioconjugation of oligonucleotides to proteins, fluorophores, and surface chemistries, • Purify and QC modified oligos and conjugates (HPLC, FPLC, spin-column), • Prepare and manage NGS libraries to identify top aptamer candidates from selection rounds, • Monitor selections via qPCR/RT-PCR and develop binding validation assays, • Support fabrication and testing of DNA nanodevices following internal protocols What We're Looking For • PhD in Biochemistry, Molecular Biology, Chemistry, or related field — or MS with 3–5+ years of hands-on industry experience, • Deep, demonstrated expertise in SELEX (not just familiarity — you've run campaigns), • Strong oligo handling skills: purification, chemical modification, conjugation chemistry, • Proficiency with HPLC, qPCR, and NGS library prep workflows, • Comfort working in a startup environment with minimal infrastructure and high ownership Nice to Have • Exposure to DNA nanotechnology or structural DNA assembly, • Experience with phage display, cell-SELEX, or tissue-based selections, • HPLC instrument maintenance and troubleshooting Compensation Base salary commensurate with experience + meaningful early-stage equity. Location San Carlos, CA (on-site; this is a lab-based role).

Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 1,400 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists that specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene. We are looking for a sharp Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) to join our team in Northern CA. This is a full-time position at 40 hours per week in the bay area. We currently have offices in Berkeley and San Francisco but may open a new office based on candidate location. We offer competitive salaries, a full benefits package including Paid Time Off, Holidays, Full Medical/Dental/Vision, along with a 401k program with a generous company match. Position Summary: The Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned. This is a Principal level position. Positions at this level are assigned to perform the more complex and sensitive duties within air quality consulting. The employee in this position will be assigned to develop business, write proposals, train and mentor other employees, and/or monitor work produced by other employees. The candidate’s experience and qualifications we are seeking include: • 15-25+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment);, • Experience in the environmental services industry focusing on leading Air Quality services:, • Process and equipment review;, • Air quality permitting under BAAQMD, SCAQMD, SJVAPCD and other Air Districts, including Title V Permitting;, • Annual Emissions Reporting;, • Air Dispersion Modeling;, • Air Quality Assessments including Data Analysis and Emission Inventories;, • General Air Quality Compliance for facilities in CA., • Ability to manage and lead active team members on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables;, • Ability to manage successful relationships with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality;, • Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies;, • Experience working on-site at client facilities;, • Prepare reports and submissions in timely manner;, • Experience with handling highly technical data and technical data interpretation;, • Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience;, • CA Regulatory/Compliance experience is required. Job Requirements: • B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college;, • Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently;, • Desire to train and share technical expertise in environmental rules and regulations with clients and team members;, • Excellent oral and written communications skills;, • Experience in conflict resolution and crisis management;, • Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions;, • Ability to think critically and develop solutions;, • Software Knowledge:, • Strong Microsoft Excel, Word, Outlook, and Powerpoint skills (required);, • Microsoft 365 Applications, including Sharepoint (a plus), • P.E. Certification (a plus).

Senior Environmental Inspector/Biologist About A-T-S: Applied Technology & Science (A-T-S) is an integrated engineering and environmental firm headquartered in San Francisco. Our focus is water and energy infrastructure planning, design, construction management and compliance, natural resource management and data sciences and technology development including the use of geospatial and AI for public and private sector clients. Our portfolio of work includes projects and partnerships with public agencies, municipalities, private and non-profit organizations. A-T-S is accepting applications for an Environmental Inspector (EI)/Project Biologist/Environmental Scientist. As part of the Construction Management Team, the EI inspects, evaluates, verifies, and documents the compliance of construction activities according to environmental conditions and requirements contained in the CEQA documents, Mitigation Monitoring and Reporting Plan (MMRP), federal, state and local permits and construction documents/specifications. As part of the job, the EI, as the client’s representative, also provides recommendations to contractors to keep them in compliance. The EI is expected to understand BMP, storm water management, air quality, dust and noise minimization and coordinate the specialty expertise personnel in these areas. Responsibilities: • Conducts daily or routine inspections of environmental parameters and provides environmental awareness training., • Prepares daily environmental inspection logs and maintains compliance tracking materials., • Works closely with contractors and applies knowledge of permits and other project related documents to make quick decisions., • Establishes relationships with the client, contractors and other stake-holders., • May assist with other tasks as needed, including attending meetings to obtain and provide project updates, monthly and/or annual reporting, and assistance with the development of various plans (e.g., relocation, burrow protection, refueling, contractor submittals)., • May assist with non-EI related projects to perform plant and/or wildlife surveys, vegetation management monitoring, and contractor monitoring. Requirements: • 8+ years of consulting experience in the natural resources management field, 2 years of experience in construction monitoring and inspection., • Bachelor’s degree in Environmental Planning, Biology, Ecology, Environmental Studies, or a related field., • For candidates with biology degree, the experience level to be qualified/approved by CDFW and/or USFWS for species-specific work., • Experience working with and understanding CEQA (California Environmental Quality Act) requirements various environmental regulations., • Knowledge and experience with field data collection practices, data management, and preparation of technical documents., • Excellent communication and organizational skills (both written and verbal)., • Willingness to adapt to schedule changes (e.g., extended hours, shifting start and end times, night work, weekends), sometimes on short notice., • Ability to mentor and supervise junior staff., • Team player, self-directed, and detail oriented., • Can travel to project site(s) within the San Francisco Bay Area. Preferred (but not required) Qualifications: • Experience with various permits and for biologists holding a California Scientific Collector’s Permit, federal recovery permit, and/or a Memorandum of Understanding., • Master’s degree in environmental planning, Biology, Ecology, Environmental Studies, or a related field.

Computational Scientist III - Scientific Affairs - Hybrid SSF Overview As a Computational Scientist III in Scientific Affairs, you will work at the interface of product development and evidence generation to advance the performance, clinical adoption, and patient access of Myriad's products. You will use your computational biology expertise, in collaboration with internal R&D and clinical teams, to carry out studies using Myriad's Precise MRD, as well as other existing or nascent technologies/products. Your focus on quality and innovation will be critical to Myriad's successful partnerships with leading academic centers and biopharma companies and will help our products reach their full potential. Responsibility * Analyze data from research and biopharma studies, present results to internal stakeholders and to external partners, and ensure successful completion of the studies * Develop custom analysis algorithms and pipelines with good testing and documentation practices * Distill learnings from research and clinical data to identify areas of improvement in our assays, and as appropriate, actively implement those improvements * Author and review scientific manuscripts, abstracts, and conference presentations to communicate key findings and innovations from Myriad's research efforts * Use technical expertise to stay current with advancements in genomics, bioinformatics, and oncology, ensuring Myriad remains at the forefront of diagnostic innovation Qualifications * PhD with 3+ years of industry experience in applying genomic technologies for clinical applications or product development * Proficient computational skills in Python and use of software-engineering best practices; familiarity with R for statistical analysis and data visualization is a plus * Demonstrated experience developing analysis methods, algorithms, and pipelines, particularly with next generation sequencing (NGS) data * Demonstrated critical scientific thought, independent problem solving and excellent technical communication skills. * Working knowledge of nucleic acid chemistry and genetics * Preferred experience in R&D with non-invasive technologies, oncology, and regulated clinical diagnostic products (CLIA, FDA) Bay Area has a higher salary midpoint due to local market conditions. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 EEO We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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.

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 Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space. What you'll do: • Deep strategic analysisto answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?, • Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment., • Modeling: Build segmentation models to assess supply to inform pricing strategy., • Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc., • Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time)., • Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: • Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience, • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • Strong fundamentals in statistics, experimentation., • Domain knowledge in ecosystem, ads, or real-time-bidding., • Proven ability to apply scientific methods to solve real-world problems on web-scale data., • Proficiency in SQL/Hive/Python. Relocation Statement: This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-JT6 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$164,428—$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.

All locations Hartford, United States; New York, United States; San Francisco, United States; Location: Hartford, San Francisco, or New York City Job Description The Insure AI Underwriting team is an experienced business unit structuring risk-transfer solutions for corporates and start-up companies utilizing AI as part of their product, services, or processes. In particular, we seek to drive insurance for the uncertainty of machine learning model errors, including GenAI applications. Your focus will be on working with data science teams at corporates and start-ups to assess the quality of the implementation of the machine learning systems and estimate the probability of predictions falling short compared to the actual outcomes or quantify the hallucination rate of GenAI applications. In addition, you will build relationships with leading research institutions in the area of statistics and computer science, contribute to the team's research and academic publications, and you will keep the team up to date with the latest developments in the area of machine learning risk quantification, e.g. model error or hallucinations rate assessments, copyright infringement by GenAI models, and AI discrimination risk. We are looking for a Research Scientist who combines a strong background in statistics or computer science with a business oriented mindset to develop financial solutions for AI risk and who will help us shape Munich Re's future. The position can be based either in the Bay Area, or in New York City or Hartford, CT. Education and Experience • PhD degree in Statistics, Computer Science, Data Science or related fields, • Minimum of 5 years of relevant experience in a data scientist role with start-up companies or as part of a graduate degree in Statistics, Computer Science, Data Science or related fields Knowledge and Skills • Excellent understanding of modern machine learning and GenAI techniques, best practices in their implementation at scale and performance evaluation, • Excellent understanding of conformal prediction and other distribution-free uncertainty quantification approaches and their limitations, • Excellent networking and stakeholder management skills, • Excellent abstract reasoning and communication skills, • Ability to reduce complexity and communicate concisely the most important points of a deal opportunity to senior management, • Excellent project management skills, • Strong negotiation skills, • Strong ability to quickly understand new and complex business cases, • Good working proficiency in Python, or comparable programming languages, • Fluency in English is a must, fluency in German a plus, • Highly ambitious, entrepreneurial, and innovative mindset, curiosity and drive, • Didactic and intercultural competence, • Willingness to work in deal teams distributed across different time zones and continents We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are 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 or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. The Company is open to considering candidates in numerous locations, including California. The salary ranged posted below applies to the Company's Hartford, CT location. • The salary range for this position is $ 138,400 - $203,000, plus opportunity for company bonus. In addition, the company provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO)., • The salary estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

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 ___. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform. In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health. What you'll do: • Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units., • Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement., • Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling., • Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring., • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety., • Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data., • Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics., • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling., • Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership., • Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership. 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 position is not eligible for relocation assistance. #LI-NM4 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.

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 ___. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale and unify our foundational AI models across every recommendation surface, rigorously measuring the system-level impact of these advances is essential to our ability to ship with confidence and compound gains over time. We are looking for a Senior Data Scientist to serve as the measurement backbone for Pinterest's foundational model initiatives within the Advanced Technology Group (ATG). In this role, you will design the evaluation frameworks, experimentation strategies, and system-level metrics that quantify how improvements to our largest and most complex models translate into real user and business outcomes. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Applied Scientists, Product Managers, and ML Platform engineers. You are expected to develop a deep understanding of Pinterest's recommendation ecosystem, from representation learning to retrieval, ranking, reinforcement learning, and beyond, and bring the analytical rigor necessary to decompose, attribute, and communicate the impact of foundational model changes across this interconnected system. The results of your work will directly influence model investment decisions, launch criteria, and the pace of innovation across ATG and Pinterest. What You'll Do • Design and execute system-level measurement frameworks for foundational model improvements spanning offline evaluation benchmarks, online A/B experiments, and longitudinal impact tracking across surfaces., • Define, and own the success metrics that quantify foundational model value., • Build causal inference methodologies to isolate the incremental impact of individual model components within a complex, multi-model production system where changes co-occur and interact., • Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor is embedded in every model launch., • Relentlessly focus on impact, whether through sharpening investment decisions with data, raising the bar for launch criteria, accelerating experimentation velocity, or surfacing hidden inefficiencies in the model ecosystem. What We're Looking For • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and hands-on experience in one or more of: ML system evaluation, recommender system measurement, A/B experimentation at scale, causal inference, • Deep familiarity with large-scale recommendation or ranking systems and their evaluation including an understanding of how representation learning, retrieval, ranking, and re-ranking stages interact and compound in production., • Experience designing and executing A/B experiments for complex ML systems, including multi-surface holdouts, metric decomposition, long-run effect estimation, and interference/spillover mitigation., • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines, feature stores, and large-scale experimentation platforms., • Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership in a fast-moving research-to-production environment., • Excellent written and verbal communication skills, with the ability to translate complex system-level findings into clear narratives for technical and non-technical partners including leadership-level investment recommendations., • A team player eager to partner across teams to turn measurement insights into better models and faster launches. This position is not eligible for relocation assistance. #LI-NM4 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.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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 Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do • Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks., • Lead projects on:, • Tradeoffs between organic engagement and advertising., • Deep dives on how engagement metrics impact monetization and retention., • Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes., • Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries., • Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference., • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact., • Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights., • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence., • Use advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization), turning highly ambiguous business questions into clear, testable hypotheses and decision frameworks for Core and Monetization leadership., • Apply AI-assisted analysis and developer tools (e.g., copilot, intelligent dashboards) to accelerate exploration, improve code quality, and scale insight generation, ensuring we can quickly evaluate tradeoffs like ad load vs. Pinner engagement., • Champion responsible and scientifically rigorous use of AI across the ecosystem, setting best practices for instrumentation, experimentation, and metric design so that AI-driven changes balance engagement, revenue, and long-term user trust. What we're looking for • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics., • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark., • Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems., • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes., • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences., • Track record mentoring and growing data talent at the staff/senior IC level., • Cross-functional leadership and the ability to align competing interests towards shared goals., • Proven track record applying machine learning and/or causal inference to complex, ambiguous product or marketplace problems at scale (e.g., ads, recommendations, multi-sided ecosystems), from problem framing and experimental design through to influencing senior stakeholders and driving product or policy decisions., • Hands-on experience with modern AI/ML tools and workflows (such as PyTorch, TensorFlow, scikit-learn, or similar, plus LLM-based assistants or copilots) and comfort rapidly adopting new AI capabilities into day-to-day analysis, prototyping, and experimentation workflows., • Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). 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. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 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$164,695—$339,078 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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 ___. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. What you'll do: • Write production code in Python., • Design, launch, and analyze experiments to optimize ad campaigns., • Create reporting and analytics tools for the Data Science Team's customers., • Translate insights from reporting tools into tvScientific's Data Science Product. What we're looking for: • Ability to write and review production-level code in Python., • Strong statistics and ML fundamentals., • Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process., • Experience defining and measuring the utility of new reporting and analytics tools., • Ability to quickly translate between DS Analytics & DS Product team., • Strong track record of providing high-quality service to the DS team's customers/stakeholders., • Adtech or CTV experience., • Teaching experience is a plus., • Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus., • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___page to learn more about our working model. #LI-SM4 #LI-REMOTE 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.

PLEASE NOTE:This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. • ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs., • HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains., • Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition(e.g., ___, ___, ___)., • Education:PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field., • Professional Background:1-3+ years of experience as a Machine Learning Engineer or Data Scientist., • Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus., • Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration., • Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology., • Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions., • Flexible Schedule: Set your own schedule, with flexible 10-40 hour weeks that fit around your life and other commitments., • Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location., • Apply: We review applications on a rolling basis., • Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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 ___. Are you passionate about applying GenAI to improve efficiency and accelerate business execution-grounded in strong data foundations? Join Pinterest's IT Enterprise Systems team to build analytics engineering and GenAI capabilities that power our go-to-market and corporate operations. You'll create trusted data models and pipelines across core enterprise platforms and layer in LLM-enabled workflows with clear evaluation, observability, and guardrails. What you'll do: • Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms)., • Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety., • Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI-then translating into clear technical plans., • Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications., • Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery., • Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning)., • Partner closely with business stakeholders, turning ambiguous questions into well-scoped requirements, success metrics, and deliverables; communicate tradeoffs and constraints clearly., • Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification., • Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization. What we're looking for: • 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience)., • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience)., • Strong understanding of LLM fundamentals and practical tradeoffs, including:, • Capabilities, limitations and common failure modes., • Tokenization, context windows, latency/cost considerations., • RAG vs. fine-tuning vs. prompting/tools for use cases., • Expert SQL skills (complex joins, window functions, CTEs, query optimization)., • Hands-on experience with dimensional modeling (star schemas, SCD Type 2) and workflow orchestration tools such as Airflow, dbt., • Demonstrated ability to validate AI-assisted output., • High integrity and ownership to handle sensitive enterprise data appropriately and remain accountable for final outputs., • Strong stakeholder communication with the ability to explain technical constraints to non-technical partners., • Experience with GenAI coding tools (e.g., Cursor, Claude Code) to accelerate development while maintaining code quality and maintainability. Relocation Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. In-Office Requirement Statement: • This role will need to be in the office for in-person collaboration 1-2 times/quarter every 6-months and therefore can be situated anywhere in the country., • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 #LI-REMOTE 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.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Position Title: Scientist, Complex in Vitro Systems (Lung Focus) Work Location: South San Francisco, CA, 94080 Assignment Duration: 12 Months Work Arrangement: Onsite (M-F, 8 h a day) Position Summary: The Complex in Vitro Systems (CiS) Lab within the Department of Translational Safety is seeking a highly motivated Scientist to develop, characterize, and qualify advanced complex in vitro models to support The Organization's mission of delivering safe and efficacious medicines. The CiS group partners closely with colleagues across Development Sciences, Translational Medicine, and Research to establish and implement innovative platforms that enable target assessment, lead optimization, and safety evaluation across a dynamic portfolio, novel modalities, and emerging therapeutic areas. Background & Context: In this lab-based role, you will provide scientific and technical expertise to support the development and implementation of human lung complex in vitro models (CIVM), including lung organoids, air-liquid interface (ALI) cultures, and lung microphysiological systems for drug development. Key Responsibilities: • Development, qualification, and implementation of innovative in vitro lung model systems (e.g., airway and alveolar organoids, ALI cultures, lung-on-a-chip co-culture platforms) to support disease modeling and lung safety risk assessment., • Designing and executing experiments to characterize lung models, including evaluation of cell viability, morphology, and barrier integrity and function, using techniques such as cytotoxicity assays, confocal and high-content imaging, transepithelial resistance/permeability assays, and transcriptomic and proteomic analyses., • Collaborating closely with cross-functional teams within and outside gRED to align on complex model building with therapeutic strategies and program needs., • Analyzing, interpreting, and clearly communicating study results to collaborators and stakeholders, and contributing to internal and external scientific presentations as appropriate., • Maintaining comprehensive electronic documentation in accordance with departmental Standard Operating Procedures (SOPs) and contributing to study reports, safety assessments, and final deliverables., • Culturing and characterizing state-of-the-art lung CIVM models, designing and executing model qualification and characterization studies (e.g., advanced imaging, transcriptomics, and functional and phenotypic assays), analyzing and interpreting complex datasets., • Sharing scientific insights across functional teams, contribute to cross-disciplinary collaborations, and support internal and external publication efforts. Qualification & Experience: • PhD in Bioengineering, Cell Biology, Molecular Biology, Toxicology (or related fields) with 0-5 years of experience post-PhD with hypothesis-driven research in industry or academia., • Experience in culturing multiple lung cell types, including relevant lung primary cells and cell lines., • Proven expertise in developing, qualifying, and applying airway or alveolar organoids, co-culture systems, and microphysiological or microfluidic platforms, to support drug discovery and translational research., • Proficiency with quantitative and qualitative characterization techniques such as qRT-PCR, RNA-seq, proteomics, immunofluorescence and confocal microscopy, live-cell and time-lapse imaging, high-content imaging/screening, and analysis of data generated from these assays., • Strong experimental design skills, with demonstrated ability in troubleshooting, method development, and protocol optimization for complex in vitro systems., • A collaborative, team-oriented scientist who prioritizes shared objectives and communicates effectively across disciplines, with a strong work ethic grounded in scientific rigor, attention to detail, and a commitment to excellence. Preferred Qualifications: • Experience lung biology and immunology is a strong plus., • Advanced proficiency in MATLAB and/or Python for image processing, algorithm development, and large-scale data analysis.