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Strong analytical and critical thinking skills.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of Defense since 2001.Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services.Spaldin

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.

At Komodo Health, our mission is to reduce the global burden of disease.And we believe that smarter use of data is essential to this mission.The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our part

Champion data quality, accessibility, and the democratization of data across the organization. Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously. Analytics, Data Science, or a related field.

This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. We offer competitive salaries with a comprehensive b

Renew Home is seeking a talented and self-driven Senior Data Scientist to join the growing Product Analytics team.

CDI was founded as a remote-first organization, and we work hard to maintain a strong team culture across vast distances.

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment.The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems.The Principa

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.You will build data products to extract valuable business insights, analyze trends and help us make better decisions.We expect you to be hig

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.Our comprehensive platform offers automated customer service handling, seamless returns/exchange manage

Thumbtack helps millions of people confidently care for their homes.Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience.Every day in every county of the U.Thumbtack to complete urgent repairs, season

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data.

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ ___ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. #LI-Remote

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an Azure Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Cloud Platform practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Azure solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities * Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team. * Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders. * Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met. * Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft Azure including security, networking, applications services, Artificial Intelligence and data management. * Contribute to expanding our Microsoft partnership & Azure practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources. * Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft Azure services, including best practices, implementation strategies, and complex architectures. * Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. * Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Azure PaaS & SaaS offerings including Azure SQL Service, Azure App Services. * Azure Resource Manager (ARM) templates, Azure CLI, and Terraform. * Azure Virtual WAN, Azure Firewalls, and Virtual Networks plus general networking including TCP/IP, DNS, VPN, dynamic routing, and load balancing. * PowerShell, Azure CLI, Python, or other scripting languages. * Azure Sentinel and Azure Security Center. * Azure Cost Manager dashboards and methodologies to optimize costs. * Containerization and orchestration technologies, such as Docker and Kubernetes. * DevOps and CI/CD tools, such as Azure DevOps * Microsoft Fabric, Databricks, and/or Azure database services, such as Azure SQL Database or Azure Cosmos DB. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Azure Administrator Associate (AZ-104) * Azure Solutions Architect Expert (AZ-305) * Azure Network Engineer Associate (AZ-700) * Azure Security Engineer Associate (AZ-500) * Azure Developer Associate (AZ-204) * Azure DevOps Engineer Expert (AZ-400) Additional Requirements * A business and technology mindset that can identify ways to grow our org and expand our capabilities. * Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders. * The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team. * Strong organizational skills and the ability to own customer engagements including pre-sales architecture and design, scoping and Azure consumption estimates, solution implementations, project management, communications, and documentation. * Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics. * Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations. Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications * Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs. * Experience building datacenter solutions that include compute, storage, networking and virtualization that provide the ability to translate on prem solutions into cloud solutions and/or hybrid solutions. * Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0. * Experience with Microsoft Azure Government, and/or Microsoft 365 GCC High in support of regulated environments including the Defense Industrial Base. * Deep knowledge of developing advanced PowerShell and/or Azure CLI scripts for automating critical tasks during implementations, migrations and assessments. * The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300). * The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600). * Any experience with 3rd party solutions that integrate with Microsoft Azure including but not limited to Palo Alto Networks, F5, Okta, Cloudflare, Rubrik and/or Zerto. HR Information * Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow.Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere.Its modular, flexible, and scalable technology enables leading comp

Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation.

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

Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 20

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. On any given day, you will have the opportunity to interface with business

Ability to design and implement scalable pipelines and analytical solutions that enable data-driven decision-making. Swiftly is searching for a data scientist that will tackle some of the most challenging and impactful problems that are transforming how we recommend products to users. This role will

You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. And 3+ years of industry experience in machine learning and data science. Strong domain knowledge in Women's Health

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. As a Senior Full Stack Data Scientist at Stitch Fix, you will design, implement, and validate improvements to

The Computational Genetics team is seeking a full-time Data Scientist who will focus on extracting insights from primarily population genomics data.

You’ll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. Influence Ads Product & Engineering to define the measurem

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns.

Exposure to health economics, health services research, or outcomes research — through coursework, research, or industry experience. Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience.

Role Model: Set the standard for the team in terms of analytical thinking and excellence.

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 focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • 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 instrumenting ML pipelines, writing evaluation harnesses, 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 in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. 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 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.

The Sanjana Lab at the New York Genome Center (NYGC) and New York University (NYU) is looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, bioengineers, human geneticists and computational biologists. The successful candidate will be mentored by Dr. Neville Sanjana on a project related to functional genomics and gene editing. Potential projects include Cas13-based profiling of noncoding RNAs in human neurons, in vivo CRISPR screens for immune and cancer phenotypes, protein design of new gene editors and cell therapies, and massively-parallel perturbations of enhancers and other functional noncoding genome elements. About the lab The Sanjana lab works at the intersection of genomics, synthetic biology and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, find vulnerabilities in cancer cells using patient-derived organoids and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. Potential projects will combine cutting-edge human genetics and genome technology development. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. Required Skills The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, biochemistry, computational biology and/or functional genomics and will have first-author publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are, protected veterans, and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

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.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

About the Satija Lab Dr. Satija's lab studies the causes and consequences of cellular heterogeneity in complex biological systems. His group is particularly interested in single cell genomics, with active development in both the dry and wet lab. The lab integrates novel statistical and machine learning-based methods with experimental analysis in order to better understand how cells work together to drive biological processes and behaviors. Position Description ___We are seeking an experienced and highly organized Lab Manager to join the Satija Lab. This is a key operational role responsible for ensuring the smooth day-to-day functioning of the laboratory. The Lab Manager will oversee lab administration, equipment, consumables, safety compliance, and onboarding, and will serve as the central point of contact for operational and logistical needs across the team. The successful candidate will work with mammalian and invertebrate based model systems in combination with next generation sequencing and CRISPR technology and will work closely with other scientists in the lab. This is an exciting opportunity to learn about the latest developments in the growing space of single cell genomics while contributing to new research in cancer immunology and developmental neuroscience. Key Responsibilities include, but are not limited to: • Oversee day-to-day lab operations, ensuring an organized, well-maintained, and efficient working environment;, • Manage ordering and inventory of reagents, consumables, and equipment, and maintain relationships with vendors, • Track and manage lab budgets for supplies, equipment, and service contracts in coordination with the PI and NYGC administration, • Maintain and organize lab databases, shared drives, and documentation including protocols, SOPs, and regulatory records Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change. Requirements & Qualifications • B.Sc or M.Sc in biology, molecular biology, biotechnology, or related fields;, • Strong organizational skills and attention to detail, with demonstrated ability to manage multiple priorities simultaneously, • Strong organizational skills and attention to detail, with demonstrated ability to manage multiple priorities simultaneously, • Experience with lab inventory management, vendor relations, and procurement, • Familiarity with the Illumina sequencing platform preferred;, • Familiarity with flow cytometry techniques preferred Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. The pay range for this position is $70,000 - $85,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is not eligible for visa sponsorship or relocation assistance.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools. Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions. The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process. Job Description/Preferred Qualifications Summary KLA seeks a technology leader to lead strategic marketing for the Surfscan portfolio, collaborating closely with R&D and customers. This new role combines strategic marketing with advanced technology development, focusing on guiding long-term R&D, technology roadmaps, and future product architectures. This role offers a unique opportunity to shape the future of semiconductor process control and position the successful candidate for potential advancement into a Business Unit Manager role. The Surfscan group encompasses a diverse and innovative set of technologies, including: * Unpatterned Wafer Inspection: Industry-leading platforms such as the SPx series for surface defect detection and quality assurance. * Shape Metrology: Advanced solutions for measuring wafer shape across both patterned and unpatterned substrates. * Chemical Metrology: Precision tools for monitoring and controlling electroplating, etch, and clean chemistries. * Specialty Instruments: Inspection and metrology systems tailored for niche substrates and benchtop applications in industrial and academic settings. The group is powered by a multidisciplinary team of physicists, chemists, engineers, data scientists, and business professionals, all working together to deliver breakthrough solutions to the semiconductor ecosystem. Key Responsibilities The Head of Strategic Marketing will serve as a critical thought leader and business driver, responsible for: * Defining and executing roadmaps across Surfscan portfolio * Identifying, assessing, and championing advanced technologies (optical, sensor, computational, algorithmic, materials, and subsystem innovations) for integration into future products to address inflections. * Working with internal research organizations, external partners, and university collaborators to shape the next decade of product lines * Driving market adoption of next-generation solutions through deep customer engagement and ecosystem insight. * Translating complex technical capabilities into compelling value propositions for global customers. * Partnering with product development, applications, sales, and executive leadership to align strategy with execution. * Leading cross-functional initiatives that shape product positioning, pricing, go-to-market strategy, and long-term portfolio planning. * Acting as a player-coach-mentoring a high-performing team while remaining hands-on in strategic initiatives. Ideal Candidate Profile The successful candidate will bring: * Proven Leadership: A track record of deep technical experience in semiconductor equipment design and development; Extensive understanding of semiconductor process technologies and how inflections impact equipment designs. * Commercial Acumen: Demonstrated ability to launch and scale innovative products in inspection, shape, or chemical metrology. * Industry Expertise: Deep familiarity with the semiconductor manufacturing landscape and a strong network across the ecosystem. * Technical Credibility: Ability to engage with engineering and scientific leaders, and synthesize complex technologies into business impact. * Executive Presence: Strong communication, influence, and decision-making skills, with the ability to represent Surfscan at the highest levels. This role is ideal for a strategic leader who thrives at the intersection of technology, business, and customer impact-and who aspires to broader general product portfolio management responsibilities in the future. Minimum Qualifications * Doctorate (Academic) and a minimum of 10 years of relevant experience OR * Master's Level Degree and a minimum of 13 years of relevant experience OR * Bachelor's Level Degree and a minimum of 15 years of experience Base Pay Range: $0.00 - $0.00 Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your 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.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We are looking for a Principal Scientist to be the senior scientific voice across Wiley's Clinical Outcome Assessment (COA) work, part of our AI and Data Analytics organisation. The role exists to make sure that the science underpinning every instrument we work with is sound, current, and well-represented, and that decisions across our business reflect the views of clinical authors and instrument developers. The role works closely with the medical societies and academic authors who originated these instruments, supports their continued scientific development, and represents Wiley credibly in the clinical outcomes community. It is an opportunity to do real scientific work alongside commercial, product, partnership, and publishing colleagues, and reports to the Senior Director, Clinical Outcome Assessments. Job Responsibilities • Provide expert scientific assessment of instruments across the portfolio, evaluating psychometric properties, validation evidence, and regulatory precedent in line with current measurement science., • Work closely with the medical societies, instrument authors, and academic groups behind the instruments in our portfolio, supporting their scientific work and acting as a senior point of contact for scientific questions., • Support the continued scientific development of instruments alongside their authors and Scientific Affairs colleagues, including evidence updates, validation work, and considered translation and adaptation programmes., • Provide scientific guidance to colleagues across the business so that customer conversations, product builds, and partnership decisions all reflect sound clinical measurement principles., • Represent Wiley as an active and credible participant in the clinical outcomes community, including at ISOQOL, ISPOR, CPATH, and other professional forums., • Provide scientific input to clinical platform product development, ensuring the platforms are built on sound clinical foundations and respect the integrity of the underlying instruments. Required Qualifications • Postgraduate degree (MSc, PhD, or equivalent) in clinical outcomes research, psychometrics, health economics and outcomes research (HEOR), epidemiology, clinical psychology, or a closely related discipline. Strong academic background combined with substantial practical experience in clinical measurement science is also acceptable., • 5+ years working with Clinical Outcome Assessments in a scientific, regulatory, or commercial context, including roles in pharmaceutical clinical development, CRO scientific affairs, health outcomes consultancy, academic research in psychometrics or patient-reported outcomes, or regulatory science., • Demonstrated ability to evaluate the psychometric properties and clinical utility of measurement instruments., • Familiarity with the regulatory landscape for COAs, including FDA Patient-Focused Drug Development guidance, EMA qualification, and ICH standards., • Strong literature review and evidence synthesis skills., • Familiarity with psychometric validation methodologies (classical test theory, item response theory, Rasch analysis)., • Ability to communicate complex scientific and psychometric concepts to both technical and non-technical audiences, with credibility among clinical and academic peers. Preferred Qualifications • PhD in psychometrics, HEOR, or clinical outcomes research., • Published research in COA-related fields., • Experience working across multiple therapeutic areas., • Track record of contributing to instrument development, validation, or regulatory submission, ideally in collaboration with academic or society partners., • Experience with systematic evidence review or meta-analysis., • Familiarity with CDISC standards for COA data., • Active engagement with ISOQOL, ISPOR, CPATH, or equivalent professional communities., • Familiarity with electronic COA implementation and the impact of mode of administration on measurement properties., • Knowledge of AI-assisted evidence synthesis approaches. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 53,000 GBP to 75,867 GBP#LI-JG2 Job Posting Title: Principal Scientist, Clinical Outcomes Location: Oxford, GBR

The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): ___. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU’LL DO As a Data Ingestion Specialist on our Data Ingestion & Care Enablement (DICE) team, you’ll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You’ll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Contribute to a complex, self-hosted dbt monorepo: implement transformations, incremental models, tests, documentation, and conventions that scale across deals WHAT YOU HAVE • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what’s happening in our pipelines and identify opportunities to improve transparency and alerting, • Nice-to-have: healthcare data exposure (claims/eligibility/ADT/etc.) WHAT LEADS TO SUCCESS • Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you., • Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps., • Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations. OUR VALUES At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of ___, and always confirm that communications are coming from an official Thyme Care email.

Shift: Monday through Friday, 8:00 AM - 4:30 PM Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives. This is a full-time, onsite, Scientist 2 position located in Hazelwood, MO,Monday through Friday, 8:00 a.m. - 4:00 p.m. Compensation: $23.00 per hour The salary for this position reflects a variety of factors. Compensation will be determined based on the candidate's geographic location, relevant experience, education, skills, and alignment with internal equity. Market conditions, budgetary considerations, and organizational compensation guidelines may also influence the final offer. Make an Impact. Build a Career. At Pace, everything we do is built upon an unwavering commitment to making the world a safer, healthier place.Since 1978,we'vecontinueddevelopinginnovative practices that drive sustainability and empower our partners withaccuratequality data at every critical moment and milestone. That'swhy we need you -- your curiosity, your talents, and your drive -- to help us advance this important work, and your career. We'reseekingcurious, motivated individuals who are passionate about protecting our environment and the communities we serve. Ifyou'relooking to develop your skills, contribute to meaningful scientific work, and build a long-term career in environmental science, Pace could be the perfect place for you. SUMMARY: Responsible for providing or overseeing the analysis, administration and oversight of varied chemistry/biochemistry policies, programs and practices; provides feedback and guidance to regarding the analysis of materials, products and/or devices utilizing using intermediate to complex professional and technical knowledge of chemistry/biochemistry or related instrumentation, testing, and procedures. ESSENTIAL FUNCTIONS: * Provides intermediate to complex analysis in support of various testing materials, products and/or devices utilizing various analytical instrumentation; follows Standard Operating Procedures and methods to perform testing. * Provides intermediate to complex review, analysis, interpretation and documentation of testing results. * Overseeing or reviewing, completing and processing various types of chemistry/biochemistry forms, documents, databases, and related materials and information. * Provides intermediate to complex analysis, interpretation and counsel to staff, management, and functional leaders regarding chemistry/biochemistry policies, programs and practices; involves varied operations and leading implementation and change. * Provides various research, feedback and decisions to resolve management and employee questions and requirements; assists with receiving customer feedback and coordinating resources and responses as required. * Analyzes and reviews intermediate to complex operations, results, feedback and related chemistry/biochemistry information on an ongoing to as needed basis to determine trends, draw conclusions, interpret findings, and presents results, proposals and recommendations to management. * Ensures the accuracy of various tests, equipment, actions, procedures and operational databases, reports, and related details through audits, queries, and operational reviews; works with teams to resolve discrepancies. * Assists with developing or participating in chemistry/biochemistry or cross-functional project or program objectives, which includes proposed budgets, timelines, materials, personnel, and other project requirements, receives direction and presents information to management. * Cleans, maintains, prepares and calibrates equipment, samples, and related areas. * Interprets and applies department policies and procedures and assists with applicable laws, rules, and regulations; receives guidance within these areas as needed. * Contributes to the efficiency and effectiveness of the department's service to its customers by offering suggestions and directing or participating as an active member of a work team. * Promotes and supports the overall mission of Pace Analytical by demonstrating courteous and cooperative behavior when interacting with customers and staff; acts in a manner that promotes a harmonious and effective workplace environment. QUALIFICATIONS: Education and Experience: Bachelor's degree in chemistry/biochemistry, or a closely related field; AND two (2) years of chemistry/biochemistry experience, including experience with complex programs or operations; OR an equivalent combination of education, training and experience. Required Knowledge and Skills Required Knowledge: * Intermediate to complex principles, practices and techniques of chemistry/biochemistry. * Various understanding of the administration and oversight of chemistry/biochemistry programs, policies and procedures. * Intermediate to complex methods to resolve chemistry/biochemistry problems, questions and concerns. * Various understanding of applicable chemistry/biochemistry laws, codes and regulations. * Understanding of various testing tools, equipment, and calibration. * Computer applications and systems related to the work. * Principles and practices to serving as an effective project team member. * Methods to communicate with staff, coworkers, and customers to ensure safe, effective and appropriate operations. * Correct business English, including spelling, grammar and punctuation. Required Skills: * Performing intermediate to complex professional-level chemistry/biochemistry duties in a variety of assigned areas. * Overseeing and administering various chemistry/biochemistry functions. * Training others in policies and procedures related to the work. * Serving as a team member and the development and management of projects. * Operating in a both a team and individual contributor environment. * Interpreting, applying and explaining applicable laws, codes and regulations. * Preparing intermediate to complex functionals reports, correspondence and other written materials. * Using initiative and independent judgment within established department guidelines. * Using tact, discretion and prudence in working with those contacted in the course of the work. * Performing effective oral presentations to large and small groups across functional peers and the department. * Contributing effectively to the accomplishment of team or work unit goals, objectives and activities. * Establishing and maintaining effective working relationships with a variety of individuals contacted in the course of the work. PHYSICAL/MENTAL REQUIREMENTS: The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Mobility to work in a lab and office setting, use standard office and lab equipment and stamina to sit for extended periods of time; exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently to lift, carry, push, pull or move objects; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone. WORKING ENVIRONMENT: Work is performed in a lab and office setting. Work is subject to chemicals, fumes, gases, noxious odors, and related items in a lab and sample setting. Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work. Benefits When you join Pace, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft. Equal Opportunity Employer Pace provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Clinical Research - Flow Cytometrist 1 Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Sponsor-Embedded | Princeton, NJ 100% Onsite | Full-Time Lab-Based Role Are you a hands-on scientist who thrives at the bench and enjoys working in a fast-paced, collaborative laboratory environment? Join our Clinical Flow Cytometry team and contribute directly to critical clinical studies while working onsite within a leading sponsor's laboratory. This role is ideal for someone who takes pride in precision, consistency, and generating high-quality clinical data in a regulated clinical research setting. This is a fully in-lab position where your work directly supports clinical development programs. You'll gain meaningful experience operating within industry standards while building technical depth in flow cytometry alongside an engaged and supportive team. What You'll Do As a Flow Cytometrist I, you will support clinical study assays and daily laboratory operations by: * Receiving and logging clinical specimens with accuracy * Processing samples for analysis or storage according to protocol * Operating flow cytometry instruments under established procedures * Executing structured, high-throughput assay workflows * Applying validated analysis templates to generate consistent datasets * Maintaining inspection-ready documentation in alignment with SOPs and quality standards * Supporting general lab operations to ensure smooth workflow * Completing required training and demonstrating assay competency Your work ensures consistent, high-quality data generation that enables senior scientists to focus on complex assay development and innovation. The Environment & Team Culture This is a highly collaborative, sponsor-embedded clinical laboratory setting. Teamwork is not optional here-it's how the lab succeeds. You will work closely with scientific and operational colleagues every day in an environment that values: * Open communication and mutual respect * Shared accountability and reliability * Structured training and clear expectations * Mentorship from experienced scientists * A team-first mindset where everyone contributes The pace is steady and expectations are high. Engagement, responsiveness, and attention to detail are essential. If you enjoy being part of a focused, supportive group that works together to deliver quality results, you will thrive here. What You Bring Required: * Bachelor's degree in Biology, Immunology, or related scientific field * Hands-on laboratory experience (internship, co-op, or early industry experience) * Foundational experience with flow cytometry (sample preparation, acquisition, or basic operation) * Strong organizational skills and meticulous documentation habits * Comfort working in a regulated laboratory environment * Effective communication and teamwork skills Highly Preferred: * Industry, CRO, biotech, or pharmaceutical laboratory experience * Exposure to immunology coursework or research * Experience with assay execution or validation * Familiarity with FlowJo, FCS Express, or similar analysis software * Experience using electronic laboratory notebooks (ELNs) * Experience working within GLP/GCP-aligned environments Why You'll Love This Role This team takes pride in how they work together. Collaboration is constant, communication is direct, and everyone plays a meaningful role in lab success. * You'll be part of a close-knit, sponsor-embedded team that values accountability and support * Experienced scientists are invested in training and committed to helping you grow * Quality and teamwork drive decision-making * You'll have consistent, hands-on bench work while building technical depth * Your contributions directly support clinical studies that impact patient care Why Join Us You won't be working in isolation. You'll join a team that believes strong science comes from strong collaboration. * A culture built on mentorship, shared ownership, and professional development * Structured training to build competency and confidence * Direct exposure to sponsor-driven clinical research * A clear foundation for long-term growth in clinical research If you are a motivated, collaborative scientist, and ready to grow within a company that values development and teamwork, we'd love to hear from you! At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. The MRI Physics Group at MSK is seeking a Postdoctoral Research Fellow or Research Scientist in MR-guided Radiotherapy (MRgRT). The successful candidate will work under the direct supervision of Dr. Can Wu and will participate in MRI research activities within the group led by the Vice Chair of Research, Dr. Ricardo Otazo, in the Department of Medical Physics. The primary goal of this position is to develop novel motion imaging techniques, such as 4D MRI, for motion-adaptive radiation therapy of high-risk thoracic and abdominal tumors. Specifically, we aim to develop motion-resolved MRI data acquisition methods (e.g., 3D radial sampling) and deep learning-based image reconstruction techniques to enable rapid 4D MRI reconstruction for treatment planning of tumors affected by respiratory motion, including those in the lung, pancreas, and liver. The work will involve developing and implementing novel algorithms for MRI data acquisition, image reconstruction, and image processing, as well as translating these techniques into clinical practice. In addition, there will be opportunities to pursue research in quantitative MRI methods for assessing treatment response across a range of tumor sites, including head and neck, rectal, gynecologic, liver, and pancreatic cancers in the context of radiotherapy. The selected candidate will have the opportunity to work in a highly collaborative, multidisciplinary environment alongside clinical imaging and radiotherapy physicists, engineers, computer scientists, and clinicians within the Departments of Medical Physics and Radiation Oncology at one of the world's leading institutions in clinical cancer care and research. This collaborative environment offers unique opportunities to contribute to translational research, engage in innovative, cutting-edge projects, and collaborate with a multidisciplinary community dedicated to advancing MRIguided radiotherapy and improving patient care and outcomes. The candidate will benefit from advanced imaging and computing resources, as well as opportunities to advance professionally and share research outcomes through conferences and publications. World-class facilities are available to support the research project, including but not limited to the following: • One Elekta Unity MR-Linac system (which includes a 1.5T Philips MRI scanner) and two 3T Philips scanners (Elition MR7700)., • Five high performance computer (HPC) servers with multiple GPUs for image processing and reconstruction, and deep-learning tasks., • Active research collaborations with Philips and Elekta for MRI sequence development and image reconstruction., • PhD degree in physics, engineering, computer science, or related field, • Strong programming skills (e.g., Python, Matlab), • Expertise in developing deep-learning models for imaging applications, • Experience in MRI data acquisition and image reconstruction (preferred but not required), • A strong track record of peer-reviewed publications, • Highly motivated with the ability to work both independently and collaboratively, • Excellent written and verbal communication skills in English Application Requirements Please submit your CV and any inquiries regarding this position to: Can Wu, Ph.D. Department of Medical Physics Memorial Sloan Kettering Cancer Center Pay Range: $72,000 - $93,730 Salary and benefits will be commensurate with experience and the cost of living in New York City. The office is located on the Upper East Side of Manhattan, within walking distance of the MSK main campus hospital and the David Koch Center for Cancer Care at MSK, where the MRI and MR-Linac machines are located. Subsidized housing near the MSK campus is available for Postdoctoral Research Fellows. Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job Title: Data Scientist Location: Newark, NJ (Hybrid - 3 days/week) Duration: 12 Months (Temp to Hire) As a Data Scientist, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries., • Perform hands-on data analysis, model development, model training, model testing, model deployment., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Write production-level code and partner with machine learning engineers to push development code into production., • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms., • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs., • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required., • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R., • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud., • Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems, • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing)., • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line.

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