Experimental Design jobs near me - 86 jobs

Mercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance across a range of machine learning tasks. We are seeking Machine Learning Researchers and PhDs. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. ## **Key Responsibilities** - Compile external ML competitions into challenging tasks that reflect real-world responsibilities. - Validate implementations against original plans and mark discrepancies. ## **Ideal Qualifications** - 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. - Strong understanding of ML research methodologies, experimental design, and evaluation practices. - Excellent analytical and technical writing skills. - Experience with reproducibility or benchmarking in ML research preferred. - Detail-oriented and able to deliver high-quality, structured feedback independently. ## **Engagement Details** - **Type:** Independent contractor - **Mode:** Fully remote and asynchronous - work from anywhere, on your own schedule. - **Commitment:** 20-40 hrs/week (Can go upto 80hrs/week depending on your performance) ## **Compensation & Contract Terms** - **Hourly Pay Rate:** Up to $120/hour - **Payment:** Weekly via Stripe Connect - **Contract Type:** Independent contractor engagement - **Structure:** Remote, milestone-based evaluation with flexible scheduling - **Application Process** - Submit your resume or CV highlighting relevant ML research or engineering experience. - Complete a short AI-based interview and a brief questionnaire about your experience. - Selected candidates will receive detailed onboarding materials and access to the project environment. ## **About Mercor** Mercor is a global talent marketplace connecting exceptional professionals with leading AI labs and research organizations. Our mission is to empower experts to contribute directly to the most influential and technically advanced AI projects worldwide. Mercor is backed by investors including Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines - from research and engineering to law and design - have joined Mercor to build the next generation of artificial intelligence systems.

* $75,000 - $85,000 base salary range + annual bonus potential! * 100% remote in the United States Do you hunger for more? Potbelly Sandwich Shop is looking for friendly and outgoing people who enjoy working in a fast-paced, friendly environment. We are where good vibes and great careers are a way of life! What started as a small antique store in 1977 has become a nationally recognized neighborhood sandwich shop with over 400 locations across the United States. But toasty sandwiches are only as good as the people behind them. And yeah, we've got the best. Ready to join our growing Potbelly Nation? What's In It For You: * Competitive pay with performance-based annual raises! * Medical, Dental & Vision Insurance * Domestic Partnership Benefits * Paid Parental Leave * FSA and HSA with Employer Contribution * Commuter Benefit Program * Retirement Savings 401(k) WITH company match * Employee Assistance Program * Paid Time Off * Discount Program * Flexible Work Schedule * Career growth opportunities If hired, you must meet and maintain all eligibility requirements to qualify Purpose At Potbelly, we believe in feeding smiles - and that starts with understanding and connecting with our guests through data, insights, and innovation. The Growth Analyst, Digital Product & CRM (Loyalty) transforms data into meaningful insights that drive guest engagement, digital adoption, and loyalty growth. You'll sit at the intersection of product, marketing, and analytics - using data to shape strategy, fuel experimentation, and deliver experiences that make every digital interaction count. This role influences the digital product roadmap through behavioral and loyalty insights, partners with product managers and UX to measure and improve feature performance and adoption, and uses experimentation and analytics to optimize our digital experiences across app, web, and ordering platforms. You'll balance both marketing and product KPIs, helping Potbelly create seamless, guest-centered experiences that deliver measurable business impact. What You'll Do 1. Lead a Culture of Experimentation * Design and execute A/B and multivariate tests across digital product features, CRM, and loyalty channels. * Develop structured testing roadmaps prioritizing high-impact hypotheses and ensuring statistical rigor. * Define success metrics for feature launches, campaigns, and guest engagement initiatives. * Embed experimentation frameworks into both marketing and product development cycles. 2. Elevate Product Analytics * Partner with Product and UX to define KPIs and measure feature adoption, engagement, and retention across digital touchpoints. * Translate user behavior, journey flow, and loyalty data into actionable insights that influence the digital product roadmap. * Identify friction points and growth opportunities across app, web, and online ordering experiences. * Conduct post-launch analyses to evaluate feature success and guide future iterations. 3. Analyze and Optimize Campaign & Loyalty Performance * Monitor CRM, loyalty, and digital campaign performance to identify lift drivers and engagement trends. * Build dashboards and reports that balance marketing and product KPIs - from conversion rates and redemptions to feature adoption and guest lifetime value. * Conduct control group and lift analyses to measure impact across channels and audiences. * Recommend optimization strategies for targeting, offers, and personalization based on test results. 4. Strengthen Data Infrastructure & Collaboration * Work closely with Data and Martech teams to enhance measurement, testing, and reporting capabilities. * Ensure consistency and accuracy of data across loyalty, CRM, and product analytics systems. * Automate dashboards and standardize KPIs for a unified view of digital performance. * Partner cross-functionally to align data insights with business, product, and marketing goals. 5. Communicate Insights that Drive Action * Present insights in clear, compelling narratives that connect data to guest behavior and business strategy. * Influence decisions across Marketing, Product, and Leadership through data storytelling. * Act as a trusted advisor on experimentation, performance management, and digital optimization. What We're Looking For Education * Bachelor's degree in Analytics, Mathematics, Statistics, Engineering, Economics, or a related quantitative field. Experience * 4+ years of data analysis experience using SQL, R, Python, or similar tools. * 4+ years of dashboarding experience (Tableau, Power BI, or similar platforms). * 2+ years in product analytics, CRM, or loyalty analytics - ideally in hospitality, retail, or fast-casual dining. * Proven success designing, executing, and analyzing A/B tests and growth experiments. * Experience translating behavioral and loyalty insights into product roadmap recommendations. Skills & Strengths * Deep knowledge of experimental design, hypothesis testing, and statistical evaluation. * Strong understanding of product, marketing, and loyalty performance metrics. * Ability to connect quantitative insights to guest experiences and business outcomes. * Excellent communication and data storytelling skills. * Collaborative, curious, and self-starter mindset. * Passion for food, hospitality, and delivering experiences that make guests smile. Preferred * Experience with Snowflake or similar data warehouses. * Advanced SQL/Excel skills and familiarity with data automation. * Hands-on experience with analytics tools like Amplitude, Mixpanel, or GA4. * Familiarity with omnichannel attribution and campaign measurement frameworks. Why Potbelly? We're more than sandwiches - we're a community built on warmth, curiosity, and care. At Potbelly, your work helps us understand and engage millions of guests every day. You'll join a team that values creativity, collaboration, and experimentation - turning data into experiences that feed smiles, one guest (and one sandwich) at a time. Application Deadline: We accept applications for this position until 3/31/2026. We encourage all individuals to submit their applications. Potbelly actively creates and promotes an environment that is inclusive of all people and their unique abilities, strengths, and differences. We respect and embrace diversity in each other, our customers, suppliers, and all others with whom we interact as an essential component in the way we do business. Diversity only strengthens our Potbelly vibe, who we are, and how we work. We're an equal opportunity employer. Each applicant will be considered for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, national origin, veteran status, or any other basis protected by applicable federal, state or local law.

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets. We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance. About the Role At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, powering decisions from risk modeling and capital allocation to growth strategy. As a Principal Data Analyst, you will be a cornerstone of our analytics organization, partnering closely with Credit/Risk and Capital Markets to drive real financial outcomes. Your work will directly influence lending decisions, portfolio optimization, and the strategies behind our capital markets platform. You will connect analysis to the bigger picture across markets, products, and mission, combining analytical rigor with business intuition to help leaders understand what is happening and why it matters. You will also elevate our toolkit by building intuitive Tableau dashboards, writing performant BigQuery SQL, and designing frameworks that make insights repeatable and scalable across the company. What You'll Do Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision-making through data-driven insights. Partner with cross-functional leaders to shape the questions that matter most, then answer them through thoughtful analysis and storytelling. Design and maintain robust Tableau dashboards that translate data into actionable narratives. Write and optimize BigQuery SQL to extract, transform, and analyze large-scale datasets. Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance. Apply statistical and experimental methods to test hypotheses, quantify uncertainty, and inform strategic trade-offs. Communicate findings clearly and persuasively to senior stakeholders. Champion a culture of data accuracy, curiosity, and continuous improvement. What We Look For 7+ years of experience using data to drive measurable business impact. Deep proficiency in SQL (preferably BigQuery) and expertise with complex joins, subqueries, and recursive logic. Advanced experience with Tableau; you know how to build dashboards that influence decisions, not just report them. Strong understanding of risk modeling, credit analytics, or capital markets data structures. Proven experience in fintech or financial services environments. Working knowledge of Python for data manipulation, automation, or modeling. Appreciation for statistical concepts like causal inference, bias detection, and experimental design. Clear, confident communication with both technical and non-technical audiences. Comfort navigating ambiguity and setting analytical direction in fast-moving environments. A natural curiosity about how finance, technology, and data intersect to drive innovation. Bonus Points Experience supporting product analytics or growth initiatives. A passion for problem-solving; you can't resist finding out why a metric behaves the way it does. You embrace learning from mistakes and are energized by challenges that don't have an obvious answer. Salary Compensation Range: $158,400-$198,000/yr 25% annual bonus target, paid quarterly Equity stock options package This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs Benefits Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans Company HSA, FSA, Dependent Care, 401k, and commuter benefits Employer-funded life and disability insurance coverage 11 Observed Holidays & PTO plan Up to 12 weeks paid family leave Continuing education reimbursement Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. #LI-MM1 #LI-Hybrid

Why Join Us? Be a hero for our rare disease patients At Ultragenyx, we fundamentally believe that taking real impactful action to care for the needs of patients and our people is always the right thing to do. To achieve this goal, our vision is to lead the future of rare disease medicine. For us, this means going where other biopharma companies won't go - challenging the status quo and creating a new model that advances our field so more patients and caregivers can benefit from life-changing treatments. We do this by following the science, applying a novel rapid development approach, making innovative medicines at fair and reasonable prices, and creating a collaborative ecosystem to reach patients in ways that are most meaningful for them. Our commitment and care for patients extends to our people, so culture is an essential cornerstone for Ultragenyx. We remain continuously focused on creating a supportive and inclusive environment of profound learning and growth - so employees can thrive in all areas of their lives, in and outside of work. Ultimately, we want to be an organization where we would be proud for our family, friends and children to work. If you want to have a meaningful impact, do the best work of your career, and grow a lot, both professionally and personally, come join our team . Position Summary: ultra focused - Work together to fearlessly uncover new possibilities The Senior Vice President, Biostatistics and Statistical Programming is responsible for the statistical aspects within the Global Development organization including clinical trials, experimental design, statistical analysis and reporting. This experienced and innovative biostatistician will work collaboratively with clinicians, regulatory leads, clinical operations, data managers, and biostatisticians in the planning and analysis of clinical studies and disease monitoring programs. This position will oversee Biostatistics/Epidemiology and Statistical Programming groups and will provide overall leadership to this team. Reporting to the CMO, this role will sit on the CMO's leadership team and play a critical role in the biostatistical strategic planning for all clinical programs at the company. Work Model: Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed. Responsibilities: Lead the Biostatistics/Epidemiology and Statistical Programming teams Ensure statistical integrity of clinical studies conducted to support projects across the portfolio Set strategy for the department, including enhancing technical expertise in support of drug development and enabling development of staff Build/drive relationships and teamwork across the Biostatistics and Programming teams in support of the programs ensuring proper statistical strategies, and understanding of priorities between the project teams and the teams Provide statistically/epidemiologically sound scientific methodology leadership in experimental design and data analyses Review statistical analysis sections of protocols, statistical analysis plans, study reports, regulatory documents or scientific publications, generates/reviews study sample size/power estimations Provide leadership in the interpretation and reporting of the results of statistical analyses. Mentor lead statisticians/epidemiologists in presenting the statistical concepts, evidence, interpretations, and logical arguments to the project team and senior management Independently pursue analyses suggested by the data; Propose new/novel statistical methodological approaches leading to improvements in the efficiency and sensitivity of study results Contribute to the advancement of research in clinical trials methodology. Establish a healthy culture in the department, including collaboration and quality mindset Develop and evaluate options for meeting project team goals under time and budgetary constraints and can change course quickly Requirements: Ph.D. in Applied Statistics, Statistics, or Biostatistics 20+ years of experience applying statistics and epidemiology methods in a biopharmaceutical industry Demonstrated statistical knowledge with the ability to apply this to scientific and clinical problems with experience in computational simulation, analysis of biomarkers, analysis of clinical imaging results such as X-Ray Experience in designs and Bayesian data analyses, rare disease global clinical development and applying epidemiological methodology to support delivering rare disease therapies for patients Has influenced external environment through contributions to presentations, and publications with demonstrated scientific productivity in advancing the state-of-the-art in applied statistical and epidemiological methodologies Experience in management, collaboration, and communication to managers, colleagues, team members, CROs, external statistical / medical experts, and external collaborators Experience with regulatory guidance and guidelines, and general knowledge of industry best practices. Expert knowledge in Health Authority interactions and submission strategies, IND/BLA/NDA/MAA submissions, and writing technical and management documents #LI-CS1 #LI-Remote The typical annual salary range for this full-time position is listed below. This range reflects the characteristics of the job, such as required skills and qualifications and is based on the office location noted in this job posting. The range may also be adjusted based on applicant's geographic location. This position is eligible for annual bonus and equity incentives. Actual individual pay is determined by demonstrated experience and internal equity alignment. Pay Range$371,300-$458,600 USD Full Time employees across the globe enjoy a range of benefits, including, but not limited to: · Generous vacation time and public holidays observed by the company · Volunteer days · Long term incentive and Employee stock purchase plans or equivalent offerings · Employee wellbeing benefits · Fitness reimbursement · Tuition sponsoring · Professional development plans * Benefits vary by region and country Ultragenyx Pharmaceutical is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital and veteran status, and any other status or classification protected by applicable federal, state, and/or local laws. Reasonable accommodation will be provided for all protected statuses or classifications protected by applicable law, including individuals with disabilities, disabled veterans, for pregnancy, childbirth, and related medical conditions, and based on sincerely held religious beliefs. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, you may contact Talent Acquisition by emailing us at ********************************. See our CCPA Employee and Applicant Privacy Notice . See our Privacy Policy . It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note to External Recruiters: All candidate activity and open positions are managed strictly through our Human Resources Department. Our Human Resources Department kindly requests that recruiters not contact employees/hiring managers directly in an attempt to solicit business and present candidates. Please note that failure to comply with this request will be a factor in determining a professional relationship with our organization. Submission of unsolicited resumes prior to an agreement set in place between the Human Resources Department and the recruiting agency will not create any implied obligation. Inquiries on developing a recruiting relationship with us, may be directed to : ******************************** .

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. About Apollo.io Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides an end-to-end go-to-market platform that enables sales and marketing teams to source prospects from our database of 210 million B2B contacts and 35 million companies, execute personalized email outreach campaigns, automate booking flows, and manage deals-all within one unified platform. Apollo raised a Series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers-and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Your Role & Mission As a Staff AI Engineer on our AI Engineering team, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You'll work on critical Apollo capabilities including our AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features that directly impact millions of users' productivity. The mission of our AI teams is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation. What You'll Be Working On AI Assistant & Agent Systems Agent Architecture & Implementation: Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows Context Management: Develop systems that maintain conversational context across complex multi-turn interactions LLM and Agentic Platforms: Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem Backend Systems: Build back-end systems necessary to support the agents. AI features: Conversational AI, Natural Language Search, Personalized Email Generation and similar AI features Classical AI/ML (Optional Focus) Search Scoring & Ranking: Develop and improve recommendation systems and search relevance algorithms Entity Extraction: Build models for automatic company keywords, people keywords, and industry classification Lookalike & Recommendation Systems: Create intelligent matching and suggestion engines Key Responsibilities Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions Required Qualifications Core AI/LLM Experience (Must-Have) 8+ years of software engineering experience with a focus on production systems 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools) Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques Technical Engineering Skills Python Proficiency: Expert-level Python skills for production AI systems Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure) Quality & Evaluation Focus Testing & Evaluation: Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics A/B Testing: Understanding of experimental design for AI system optimization Monitoring & Reliability: Experience with production monitoring, alerting, and debugging complex AI systems Data Pipeline Management: Experience building and maintaining scalable data pipelines that power AI systems What Makes a Great Candidate Production-First Mindset You've built AI systems that real users depend on, not just demos or research projects You understand the difference between a working prototype and a production-ready system You have experience with user feedback, iterative improvements, and feedback systems Technical Depth with Business Impact You can design end-to-end systems, including back-end systems, asynchronous workflows, LLMs, and agentic systems You understand the cost-benefit trade-offs of different AI approaches You've made decisions about when to use different LLM providers, fine-tuning vs prompting, and architecture choices Evaluation & Quality Excellence You implement repeatable, quantifiable evaluation methodologies You track performance across iterations and can explain what makes systems successful You prioritize safety, reliability, and user experience alongside capability Adaptability & Learning You stay current with the rapidly evolving LLM landscape You can quickly adapt to new models, frameworks, and techniques You're comfortable working in ambiguous problem spaces and breaking down complex challenges Working at Apollo We are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward. At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core-we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. Our AI Impact at Apollo Join a team that's already making significant impact: Our AI Assistant helps sales teams automate research, scoring, and outreach processes Assisted Prompting Mode allows users to leverage AI power-ups without being prompt engineering experts Our AI email assistant processes hundreds of thousands of words monthly for Professional plan users We help users "book more meetings in less time by automating research, scoring, outreach, & more with embedded AI sales assistants" If you're looking for a place where your AI engineering work directly impacts millions of users, where you can push the boundaries of what's possible with LLMs and agents, and where your career can thrive in the AI-native future-Apollo is the place for you. The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Annual Pay Range$200,000-$280,000 USDWe are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers-and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You'll Love Working at Apollo At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core-we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you're looking for a place where your work matters, where you can push boundaries, and where your career can thrive-Apollo is the place for you. Learn more here!

We're driven by curiosity, passion, optimism, and the belief that everybody can grow. The Marketing Analytics team within Consumer Bank Data & Analytics division is responsible for measuring the effectiveness and promoting the strategy of Chase's Consumer Bank marketing campaigns. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to promote future campaigns and to optimize Chase's multimillion dollar marketing spend. This role is focused on analyzing performance and informing optimal strategy for marketing campaigns for newly onboarded and tenured customers that promote long-term account engagement, relationship deepening, and customer retention for the Consumer Bank. As a Vice President Data Scientist Marketing Analytics within the Consumer Bank Marketing Analytics team, you will be at the forefront of promoting our marketing strategy. You will have the opportunity to analyze performance and inform optimal strategies for marketing campaigns, mentor junior data scientists, and lead innovation projects. Your insights will have a significant impact on our customer and business outcomes. We encourage you to bring your intellectual curiosity, strategic thinking, and excellent problem-solving skills to our inclusive team environment. Job Responsibilities Own the analytics strategy, planning, and execution for Onboarding & Engagement marketing campaigns. Provide leadership and mentorship to junior data scientists across Marketing Analytics organization. Consult on experimental design, data collection, and develop new strategies in collaboration with stakeholders. Interpret results and present to stakeholders and senior management. Continuously lead innovation projects to drive more advanced analytics. Recruit and train talented data professionals from diverse backgrounds. Maintain a rigorous controls environment to ensure accurate and timely results. Required Qualifications, Capabilities, and Skills 5+ years of experience in applying statistical methods to real-world problems including experience with SQL. Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields). Experience with visualization techniques for data analysis and presentation Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.). Exceptional written, oral communication, and presentation skills with experience communicating concisely and effectively with all levels of management and partners. Highly organized and able to prioritize multiple tasks. Excellent communicator and able to build relationships with key stakeholders. Preferred Qualifications, Capabilities, and Skills A highly independent leader with a growth mindset. Intellectually curious and eager to learn new things with an eye towards innovation. A strategic thinker and the ability to focus on business goals. Excellent at solving unstructured problems independently. Marketing analytics experience preferred. Python preferred. Tableau preferred.

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Salary: $76,000.00 - $104,500.00 Location: Austin,TX You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. Skills/Experience * Cognizant of safety and able to design test equipment with safety first in mind. * Ability to read engineering drawings & perform test fixtures design and develop engineering drawings user manuals for the automated test equipment. * Automated test equipment development and experience knowledgeable of electromechanical assemblies and sensor technologies (vacuum sensors, accelerometers, thermocouple etc.) * Data acquisition hardware & software expertise. Ability to understand and write code (C, C#) is a plus * Excellent organizational, interpersonal & communication skills. Pays attention to details able to work in lab environment. * Able to work independently and in team environment with limited supervision. * Ability to troubleshoot electronics and electro-mechanical systems, experimental design circuitry, prototype, tools and test fixtures. * Provide test fixture support on all installed base test fixtures * Collaborate with new product engineers, capture test requirements, good communication skills and excellent customer service. * Knowledgeable in AMAT vacuum Robots, COBOTs and industrial automation. Key Responsibilities * Provide TF sustaining support for deployed fixtures to ensure minimal down time and customer impact. Coordinates/Performs test fixture PM and Calibration activities as scheduled and follows-up on OOT issues as required. * Interfaces with other test engineers and BU customers to coordinate the deployment of new test fixtures. Begin evaluating, designing and project managing own test fixture projects and solicit assistance as needed. Documents and tracks deployment issues to closure and initiates appropriate engineering change request as required. * Uses basic engineering and DFx principles to estimate and reduce test fixture development costs and improve delivered fixture quality; * Develops and uses test procedures. Assists with the definition of test specifications with design, software, and manufacturing engineering. May assist in the coordination and/or execution of test fixture sourcing activities. * Gathers operational and test data and evaluates results; may take corrective/continuous improvement actions. * Evaluates work methods, procedures and policies. Participates in the development and maintenance of new and existing business processes; updates as necessary to ensure current practices are documented. * Determines root cause and corrective action analysis for issues that arise during design and deployment of test fixtures and provides failure analysis report as required. * Performs Process Failure Mode, Effects and Criticality Analysis when working with New Product/Fixture Development. Functional Knowledge * Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities Business Expertise * Understands key business drivers; uses this understanding to accomplish own work Leadership * No supervisory responsibilities but provides informal guidance to new team members Problem Solving * Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents Impact * Impacts quality of own work and the work of others on the team; works within guidelines and policies Interpersonal Skills * Explains complex information to others in straightforward situations #LI Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_****************, or by calling our HR Direct Help Line at ************, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

As a Field Application Scientist (location - Detroit) you will be engaging with customers daily and delivering system usage training at customer sites, while providing experimental design, data analysis, logistical, and troubleshooting support across your region. You will be a key contact, in conjunction with in-house Technical Support, for responding to issues and maintaining relationships with customers. The primary goals of this position are to ensure rapid adoption and maximum customer success with 10x Genomics' products. What you will be doing- Communicate: - Acting as the main point of contact between the customer and company - Keep customers apprised and trained on advancements in 10x technology and software - Coordinate and perform customer site trainings and demonstrations - Identify, document and communicate customer issues; complaints or concerns to management - Contribute to documentation with the goal of expanding support content Connect: - Scientifically partner with customers as they develop their research utilizing 10x technologies - Collaborate in scientific discussions with customers, cultivating long term relationships - Create and maintain positive working relationships with customers (Key, is the ability to manage expectations while exceeding the customer's needs) - Gather and deliver strategic and competitive customer feedback, communicating customer use cases beyond initial product scope to Marketing and Product Development teams Support: - Troubleshoot issues related to user's technical skills, sample preparation and processing, biochemistry/assay design, experimental design, software and instruments - Interpret customer needs and identify the proper issue escalation pathway within 10x - Support field sales team at trade shows, seminars and technical symposiums (including presentations and networking with thought leaders) - Handle potentially stressful situations calmly and adroitly Minimum Requirements: - Extensive experience in molecular biology, biochemistry, genomics or genetics - Demonstrable knowledge and experience with NGS workflows and data analysis software and associated analysis software - Hands on proficiency with common molecular biology bench techniques - Hands-on proficiency with histology techniques including tissue processing, sectioning, and embedding - Clear vision of and commitment to providing outstanding customer service - Excellent organizational, analytical, and systematic troubleshooting skills - Strong written and verbal communication skills - Outstanding presentation and training skills - Ability to maintain records for customer sites and provide high level feedback to management - Willingness to travel up to 60% Preferred Qualifications: - Ph.D. or 6-8 years' experience preferred in Chemistry, Biochemistry, Molecular Biology or Genetics - Experience with spatial gene expression or protein assays is highly desirable - Previous customer facing experience - Familiarity with SFDC software - Ability to work independently and as part of a team towards corporate goals Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company's total compensation package. Pay Range$92,400-$125,000 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As an AI Tutor - Statistics Specialist, you'll play a key role in advancing xAI's mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance. All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions-tasks with which candidates must be comfortable. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modeling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses. Interpret, analyze, and execute tasks based on given instructions. Required Qualifications Must have either (a) a Master's or PhD in Statistics (or Mathematics with a specialization in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation. Preferred Qualifications PhD in Statistics or a closely related quantitative field. Peer-reviewed publications in statistics, probability, or applied statistical modeling. Previous AI Tutoring experience and/or experience teaching college-level statistics courses. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $75/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

We are looking for a Senior Product Insights Analyst to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You'll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to building predictive models, and to improving patient engagement and clinical efficiency. You'll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance. About Talkiatry:Talkiatry transforms psychiatry with accessible, human, and responsible care. We're a national mental health practice co-founded by a patient and a triple-board-certified psychiatrist to solve the problems both groups face in accessing and providing the highest quality treatment. 60% of adults in the U.S. with a diagnosable mental illness go untreated every year because care is inaccessible, while 45% of clinicians are out of network with insurers because reimbursement rates are low, and paperwork is unduly burdensome. With innovative technology and a human-centered philosophy, we provide patients with the care they need-and allow psychiatrists to focus on why they got into medicine.You will: Proactive Insights & Storytelling Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors. Help Product teams maximize impact, by working with PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities. Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems. Frame analyses and estimates in terms of “so what” for the practice to ensure findings don't just inform, but influence the team. Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams. Anticipate questions our teams should be asking and bring forward insights before they're requested. Modeling & Prediction Build, evaluate, and productionalize models to forecast outcomes such as patient retention, no shows, demand patterns, and more. Balance technical sophistication with pragmatic application, recognizing when simpler analyses can achieve the same business impact. Experimentation & Measurement Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks. Ensure appropriate statistical power, so results are both valid and actionable. Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions. Applied Analytics Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership. Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don't stay one-off, but become institutional knowledge. Collaboration Collaborate with Data Engineering and BI teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling. Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking. You have: 4+ years of experience in product insights, analytics, or related fields, with a track record of delivering measurable business impact. Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery). Strong foundation in experimental design, causal inference, and statistical methods. Practical understanding of ML modeling trade-offs: when to deploy advanced models vs. when a well-structured analysis is the right tool. Understands the spirit of George Box's reminder that “all models are wrong, but some are useful” and applies that judgment to build solutions that balance sophistication with pragmatism. Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders. Experience in DBT is a plus, but not required. Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus. Strong applied experience in data science is essential; a Master's or PhD in a quantitative field is a plus Why Talkiatry: Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care Collaborative environment: be part of building something from the ground up at a fast-paced startup Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands. It all comes back to care: we're a mental health company, and we put our team's well-being first Talkiatry 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. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Role Description As a Senior Lead of Acquisition Growth Campaigns within the Integrated Marketing organization, you will drive the marketing-led acquisition strategy and experimentation agenda for Dropbox across both product-led (PLG) and sales-led (SLG) motions. You will define strategic priorities, develop integrated campaign frameworks, and guide a disciplined, insight-driven experimentation program to identify and scale high-impact growth opportunities. In this highly cross-functional role, you will partner closely with channel marketing, content, PMM, product, data science, and sales teams to bring acquisition initiatives to market with clarity, consistency, and excellence. You will shape audience strategy, oversee cross-channel messaging and positioning, and inform investment decisions through rigorous analysis and performance insights. This role requires a strong blend of strategic leadership, analytical depth, and collaborative influence. You will provide direction, structure, and standards that elevate Dropbox's acquisition programs-ensuring they are customer-centric, data-driven, and aligned to broader business goals. Responsibilities Own Dropbox's end-to-end Campaign acquisition strategy across PLG and SLG, setting the roadmap for how we drive top-of-funnel demand, high-intent traffic, and pipeline acceleration across all product surfaces and segments. Lead a cross-functional growth experimentation engine, designing the strategy and operating model for rapid testing across messaging, creative, channels, audiences, and product entry points. Define and evolve the early-journey customer architecture, identifying high-leverage opportunities across web, product, paid, email, and partner motions. Set the acquisition performance framework, partnering with Data Science and Channel Leads to define targets, optimize spend allocation, and drive material improvements in conversion and CAC. Translate experiment learnings into durable, scalable growth programs that can be operationalized across teams, channels, and product surfaces. Drive cross-functional alignment with PMM, Sales, PM, Channels, and Brand to ensure a cohesive and consistent acquisition narrative that aligns with business strategy, customer needs, and market opportunities. Champion the use of AI in acquisition workflows-from targeting and segmentation to creative optimization and predictive scoring-ensuring Dropbox's growth engine remains modern and efficient. Requirements 10+ years of experience in growth, demand generation, or acquisition marketing within B2B SaaS, with proven impact across both PLG and SLG environments. Demonstrated ability to lead acquisition strategy, set priorities, and drive alignment across complex, cross-functional teams. Deep understanding of funnel dynamics, audience segmentation, early-journey conversion levers, and growth experimentation methodology. Proven experience partnering with channel, content, PMM, and product teams to deliver integrated, high-performing marketing campaigns. Strong analytical skills with experience in forecasting, attribution, experimental design, KPI development, and performance optimization. Familiarity with AI-enabled marketing tools for audience targeting, creative optimization, and automation. Exceptional communication and stakeholder management skills, with the ability to influence senior partners and clearly articulate insights and recommendations. Preferred Qualifications Experience scaling acquisition programs in high-growth SaaS or freemium environments Proficiency in experimentation and automation platforms (e.g., Jira, Confluence) Strong understanding of paid media strategy, lifecycle handoff, and pipeline measurement frameworks Exposure to AI-driven personalization, predictive lead scoring, or generative content workflows Strategic marketing/analytics background Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$167,500-$226,700 USDUS Zone 3$148,900-$201,500 USD

: Merkle is a data-driven, technology-enabled, global performance marketing agency specializing in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that inspire people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology guide improved marketing results and competitive advantage. With over 9,000 employees worldwide across locations in US, EMEA and APAC, Merkle is part of the Dentsu Aegis Network. For more information, visit *************** Job Description: As Senior Manager of Data & Analytics Strategy, you'll report to the Director, Data & Analytics Strategy. You'll provide analytics solutions and measurement strategies for client programs, transforming complex data into clear, applicable insights that support business growth. As an individual contributor, you'll focus on the intersection of CRM, loyalty, and promotions. You'll collaborate with teams to implement measurement frameworks, build analytics projects, and deliver reporting and data-driven recommendations. These efforts will strengthen client performance. You will offer the opportunity to contribute to analytics plans while supporting client relationships, ensuring the data strategy aligns with client goals to create meaningful impact on how global brands connect with their customers. This is a remote position. Responsibilities: Analytics Delivery & Client Support You will implement measurement strategies and reporting that align with client goals You will participate in client meetings to document program goals, define goals and identify data-driven opportunities You will present complex findings in clear, applicable ways that promote decision-making Analytics Execution & Project Management You will implement analytics projects from problem identification through solution delivery You will brief technical analytics work by offshore and third-party teams Conduct data analysis using statistical techniques to analyze experiments and user behavior Identify gaps and challenges in data collection and develop viable approaches to address them Measurement & Innovation You will provide subject matter expertise in measurement, analysis, and data-driven solutions You will develop learning agendas that identify opportunities to use data to inform new marketing tactics You will support progress in experimental design and marketing testing programs You will partner with other disciplines to refine and support recommendations Qualifications Bachelor's degree or higher in a quantitative field (STEM, Business, Finance, or Marketing) 3+ years of experience in analytics/data science delivering campaign measurement, predictive analytics, and applicable insights Experience querying large datasets and using big data platforms (Redshift, BigQuery, Snowflake, or Databricks) Experience with CRM (Salesforce, Braze) and CDP tools (Hightouch, Amplitude) Expertise in loyalty analytics, A/B testing, and marketing experiments Familiar with predictive modeling and machine learning libraries (NumPy, scikit-learn) Proficient in visualization tools (Tableau, Power BI) and dashboard/report building Knowledge of digital marketing analytics (Amplitude, Adobe, Google Analytics) Bonus: AI-driven efficiency and advanced analytics Additional Information At dentsu, we believe great work happens when we're connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office. The annual salary range for this position is $94,000 - $152,375 annually. We base placement within the salary range on a variety of factors, including relevant experience, and other factors permitted by law. Benefits available with this position include: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including providing time off according to the Colorado Healthy Families and Workplaces Act, following its plans and policies. For further details regarding Dentsu benefits, please visit *************************** To begin the application process, please click on the "Apply" button at the top of this job posting. We will review applications on an ongoing basis, and we will contact qualified candidates for next steps. #LI-BB1 Location: USA - Remote - North Carolina Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future. What We Offer Salary: $29.00 - $39.60 Location: Santa Clara,CA At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You'll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Description Has advanced and specialized expertise in an analytical/scientific method or operational process, typically developed through a combination of job-related training and considerable on-the-job experience. Completes assignments and facilitates the work activities of others; may coordinate work beyond own area. Proposes improvements to processes and methods. Acts as a lead, coordinating the work of others, but is not a supervisor. Works autonomously within established procedures and practices. Key Responsibilities Performs complex electro-mechanical technical functions and activities such as design, test, checkout, fabrication, modification, troubleshooting and assembly of electronics and electro-mechanical systems, experimental design circuitry, prototype models, specialized test equipment, tools and test fixtures. Tests and troubleshoots system level and component level problems in electrical and mechanical systems and sub-systems with minimal supervision. Assignments require solution of difficult problems by application of technical knowledge. May perform more complicated or complex new system and NPI installations and field upgrades. May work from limited or no documentation. Investigates, compiles data, documents and recommends changes using applicable reporting process to enhance product performance. Compiles logbooks and test procedures documentation utilizing good writing skills. Assists in revising, developing and implementing documented procedures. Writes complex technical reports and test procedures. Performs mechanical, electrical, pneumatic & vacuum and process testing on AMAT platforms to Engineering and Manufacturing documentation and specifications. Observes all safety standards. Maintains a secure, safe, clean and healthy work environment. Attends required health and safety training and follows safety and security policies, procedures and practices. Promptly reports accidents, injuries, safety hazards, or emergencies to supervisor or Safety dept. Follows operating instructions, uses protective equipment when required, and uses equipment and materials properly. Actively strives to prevent accidents and injuries. Requires full understanding of the company's manufacturing and/or engineering processes, as well as excellent interpersonal and communication skills to effectively interface across departmental/functional lines. Provides management with technical input in order to correct problems both at the system level and in the manufacturing process. Provides training to lower level Engineering Technicians. Recognized as technical resource for a particular platform or product. Highly proficient at troubleshooting and resolving issues. Effective at providing standard work and workmanship skills training. Works closely with Engineering in the development of procedures and documentation for NPI. May serve as a 'Quality Lead'. Functional Knowledge * Has developed advanced specialized expertise within a analytical/scientific area to perform the most complex work Business Expertise * Has a good understanding of how related teams coordinate their efforts and resources to achieve objectives Leadership * May act as a lead for the team, may allocate work and provide subject matter guidance to more junior team members Problem Solving * Exercises judgment, based on previous experience, practices and precedents, to identify and solve problems that arise with little or no precedent Impact * Impacts the effectiveness of own team and closely related teams Interpersonal Skills * Exchanges ideas and information effectively; uses tact and diplomacy when dealing with others Qualifications Education * Associate's Degree * 4 - 7 Years of Experience Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: No Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_****************, or by calling our HR Direct Help Line at ************, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Job Posting Title: Laboratory Research Assistant II ---- Hiring Department: Department of Marine Science ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Non-Exempt ---- Earliest Start Date: Feb 02, 2026 ---- Position Duration: Expected to Continue Until Jan 30, 2027 ---- Location: PORT ARANSAS, TX ---- Job Details: General Notes A Laboratory Research Assistant position is available to work with Dr. Kelly Dorgan at The University of Texas Marine Science Institute in Port Aransas, TX, starting in February 2026 (negotiable). Research in the lab integrates ecology, biomechanics (including engineering theory and methods), and invertebrate behavior, morphology and physiology with engineering theory and methods, including development of new instrumentation. This position is intended for a recent graduate (BS) looking to gain research experience before graduate school and will involve field and lab work as well as helping to manage the lab, including purchasing and organizing supplies. The technician will process sediment samples, sort and help identify benthic invertebrate samples, conduct field work in local estuaries and potentially on longer research cruises. The technician may also have opportunities to analyze and synthesize data, work on instrument development and trouble-shooting, and help set up a new innovation workshop Responsibilities · Experimental design, trouble-shooting, and data analysis · Infauna sample sorting (under a microscope) · Processing of sediment samples in lab · Field work to collect infauna and sediments · Other duties as assigned Required Qualifications · High School Diploma or equivalent · Previous research experience in a relevant field · Experience with field work · Programming experience or willingness to learn programming Preferred Qualifications · BS in a relevant field (marine science, biology, geosciences, or other) · Small-boat operating experience · Experience with invertebrates and use of microscopes · Experience with Matlab, R, Arduino, Image Salary Range $31,200 + depending on qualifications Working Conditions · May work in all weather conditions · May work in remote marine or estuarine field sites, under especially hot conditions · May work around standard office conditions · May work around chemicals · May work around electrical and mechanical hazards Required Materials · Resume/CV · Letter of interest · Contact information for 3 work references; at least one reference should be from a former or current supervisor Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

The Principal Operations Research Analyst (SME) - Wargaming & LVC serves as the chief analyst for major wargaming efforts (e.g., GLOMO/CS, LDLW, FG, GE) in a Live-Virtual-Constructive (LVC) environment. In this senior role, you will lead enterprise-level OR strategy, design and execute complex experiments, develop analytical frameworks for wargames and exercises, and mentor a team of analysts supporting a high-visibility government customer. You will work closely with government stakeholders, operators, and cross-functional technical teams to deliver rigorous, repeatable, and defensible analysis that informs operational plans, capability development, and strategic decision-making. *This position is contingent upon contract award* Job Duties and Responsibilities: Serve as the chief operations research analyst for designated wargames and LVC events, ensuring analytical rigor from problem framing through final reporting. Lead enterprise OR strategy efforts, translating sponsor objectives and PWS requirements into structured analytical questions, models, and study plans. Design and oversee experimental methodologies for wargames, exercises, and simulations, including treatment/control design, measures of performance/effectiveness, and data collection plans. Develop, implement, and validate quantitative and qualitative models to assess concepts of operations, force design options, and operational risk. Direct the analysis of wargame and exercise data; synthesize findings into clear, actionable insights and recommendations for senior decision-makers. Prepare and deliver briefings, white papers, and technical reports to senior military and civilian leaders. Mentor and coach a team of OR analysts and data scientists; provide technical quality control and professional development guidance. Collaborate with operations, intelligence, and technical SMEs to ensure models, assumptions, and scenarios reflect current doctrine, capabilities, and threat environments. Coordinate closely with government leads to align analytical efforts with the Performance Work Statement (PWS), schedule, and deliverable requirements. Support proposal, capture, and growth activities by contributing OR subject matter expertise and wargaming best practices. Perform other duties as assigned to support mission requirements. Job Requirements (Education/Skills/Experience): Active Secret clearance; eligibility for Top Secret preferred. (U.S. citizenship required due to government contract requirements.) 12+ years of progressively responsible experience in operations research, data science, or a closely related analytical discipline, including significant experience supporting DoD or other U.S. government customers. PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or a closely related field; or a Master's degree in one of these fields with 15+ years of relevant experience. Demonstrated experience leading complex OR studies or campaigns involving wargames, exercises, or simulations (e.g., LVC environments). Proven expertise in experimental design, statistical analysis, and model development for operational or strategic-level problems. Experience advising senior leaders and stakeholders, including developing and presenting concise, decision-focused findings and recommendations. Demonstrated ability to lead and mentor a team of analysts, manage multiple concurrent efforts, and ensure on-time, high-quality deliverables. Preferred Qualifications INFORMS Certified Analytics Professional (CAP). Project Management Professional (PMP) or equivalent project/program management certification. Experience with Department of Defense wargaming constructs, campaign-level analysis, or major exercise series. Familiarity with LVC simulation environments, wargame design tools, and related analytical software. Experience aligning analytical work to government Performance Work Statements (PWS) and reporting requirements. Prior experience supporting Air Force, joint, or combatant command-level analysis is highly desirable. Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC's ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

As a Lead Machine Learning Engineer, you'll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team's work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you'll do: Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases. Develop reliable and scalable production machine learning systems. Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment Provide software and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere's core objectives. What you'll need: At least 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this position is $170,000.00 to $190,000.00 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Behavioral Interview(s) Case Study *Subject to change About Cohere Health: Cohere Health is a fast-growing clinical intelligence company that's improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can't wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal. #LI-Remote #BI-Remote

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better. Reports to: Sr. Manager, Bioinformatics Location: Redwood City, CA or hybrid or remote Primary Responsibilities• Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.• Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.• Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.• Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.• Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating innovative investigation and interpretation of biological data. • Proven proficiency, and understanding of, modern statistics and machine learning.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).• Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.• Familiarity with design of experiments (DOE) approaches to optimize process settings. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

Providence is seeking a full-time Data Science Product Manager to leverage a robust data science skillset as well as a customer service and process-oriented skillset to assess customer needs, design product roadmaps, lead efforts to build/test/validate/iterate, and maintain data science and analytic products. Execute data science projects, including analyzing large amounts of raw information and preprocessing structured and unstructured data. Build predictive models, conduct experimental designs and web analytics, and build machine learning algorithms using advanced technologies to support Healthcare Research Accelerator initiatives. Exhibit a strong curiosity about data and excels at harvesting insights from highly complex data across multiple data sources. Work closely with Data Engineers and establish the entire project/product life cycle. Employee has option to telecommute full-time from any state in which Providence has an office (currently: AK, WA, OR, CA, NM, MT, TX) Applicants must have: + Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a similar field. + Three (3) years experience in data science or related. + Requires skills and experience in the following: + 3 years of experience with querying large datasets using SQL, Python and/or R, Jupyter Notebook, NumPy, Pandas, Matplotlib/Seaborn, and Spark/PySpark. + 3 years of experience with big data, database query, and analysis languages (e.g., Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks, interactive dashboarding) and data visualization tools (e.g., Power BI, Tableau). + 3 years of experience with Machine learning, deep learning model development, NLP model (Natural Language Processing) development, and other methods to solve complex problems using structured and unstructured data. + 3 years of experience with SciPy, Scikit-learn (SKLearn), Spacy, TensorFlow/Keras, and Docker. + 3 years of experience working with Electronic Medical Record, clinical data, Healthcare standard code sets such as ICD, CPT/HCPCS, LOINC, OMOP. + 3 years of experience working in Microsoft Azure or other major Cloud platforms. + 3 years of experience with Kubernetes, DataBricks, Snowflake, and Azure Data Factory/Airflow. + 3 years of Data architecture experience, including data ingestion, processing, storage and reporting in a big data environment. + 3 years of experience supporting healthcare research projects. Understanding of research project life cycle from planning through implementation and reporting phases. + 2 years of demonstrated expertise in ensuring compliance with healthcare regulations and standards. Knowledge of health data privacy guidelines, including HIPAA de-identification standards. Experience handling Protected Health Information (PHI) and Personally Identifiable Information (PII) with a focus on maintaining confidentiality and security. + 1 year of experience in statistical modeling, including designing and conducting hypothesis testing, survival analysis, probabilistic modeling, with the ability to interpret and present results. + 1 year of experience working with biomarker genomics data and understanding of genomic and proteomic data pipelines. + Experience in product management with a focus on data management, analytics, product design and operations support. Salary Range by Location: + AK: Anchorage: Min: $48.27, Max: $76.22 + AK: Kodiak, Seward, Valdez: Min: $50.32, Max: $79.45 + California: Humboldt: Min: $50.32, Max: $79.45 + California: All Northern California - Except Humboldt: Min: $56.46, Max: $89.13 + California: All Southern California - Except Bakersfield: Min: $50.32, Max: $79.45 + California: Bakersfield: Min: $48.27, Max: $76.22 + Montana: Except Great Falls: Min: $40.19, Max: $61.36 + Montana: Great Falls: Min: $40.19, Max: $58.13 + New Mexico: Min: $40.19, Max: $61.36 + Oregon: Non-Portland Service Area: Min: $45.00, Max: $71.05 + Oregon: Portland Service Area: Min: $48.27, Max: $76.22 + Texas: Min: $40.19, Max: $58.13 + Washington: Western - Except Tukwila: Min: $50.32, Max: $79.45 + Washington: Southwest - Olympia, Centralia & Below: Min: $48.27, Max: $76.22 + Washington: Tukwila: Min: $50.32, Max: $79.45 + Washington: Eastern: Min: $42.96, Max: $67.82 + Washington: Southeastern: Min: $45.00, Max: $71.05 Why Join Providence? Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities About Providence At Providence, our strength lies in Our Promise of "Know me, care for me, ease my way." Working at our family of organizations means that regardless of your role, we'll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable. Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits. Check out our benefits page for more information. Equal Opportunity Employer including disability/veteran Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons. About Providence At Providence, our strength lies in Our Promise of "Know me, care for me, ease my way." Working at our family of organizations means that regardless of your role, we'll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable. The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits. Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Requsition ID: 397279 Company: Providence Jobs Job Category: Data Sciences Job Function: Information Technology Job Schedule: Full time Job Shift: Day Career Track: Business Professional Department: 4007 SS HEALTHCARE RESEARCH ACCELERATOR Address: WA Renton 1801 Lind Ave SW Work Location: Providence Valley Office Park-Renton Workplace Type: Remote Pay Range: $See Posting - $See Posting The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

The Role: The Moderna Research Co-op program is a 6-month experiential training program for students currently working towards an undergraduate or advanced degree in life sciences. During the co-op you will learn about the pharmaceutical and biotechnology industry and gain valuable hands-on experience in one of the most bold and relentless companies currently leading the field in mRNA-LNP science. You will work under the supervision of an experienced Moderna team member and have opportunities for cross-team collaboration, networking, and mentorship. You will develop laboratory skills and learn about lab safety, experimental design, scientific strategy, and record keeping. If you are bold, relentless, collaborative and obsess over learning, a co-op at Moderna will help augment your research experience and accelerate your career. Our spring/summer co-op program is from January 20th-June 26th, 2026. All applicants must be available for the entire duration of the program. Here's What You'll Do: Bacterial Immunology Assist in the execution of bacterial and immunological assays to support the team's bacterial vaccine and therapeutic programs. Assays may include antibody-bacterial binding, antibody-dependent complement deposition (ADCD), serum bactericidal (SBA), adhesion/invasion, opsonophagocytic killing (OPK) and others. Here's What You'll Bring to the Table: Currently enrolled in an undergraduate or advanced degree program in Biomedical Sciences, Biology, Biochemistry, Microbiology, Molecular Biology, Bioengineering, or similar. Basic knowledge of basic lab procedures (such as pipetting) required. Technical experience in any of the following areas desired: bacterial and mammalian cell culture, aseptic technique, protein detection methods (e.g., MSD, ELISA), molecular biology techniques (e.g., PCR, DNA/RNA extractions), cell characterization (e.g., flow cytometry), cell imaging, assay development and troubleshooting. Prior co-op or internship experience is preferred but not required. Self-motivated, enthusiastic, and possess the desire to drive a project to completion. Flexible and capable of working in a fast-paced, team-oriented environment. At Moderna, we are focused on delivering on our mission by enabling talent to thrive. For this role, we are currently unable to offer immigration sponsorship. Candidates must already hold work authorization in US and be able to maintain that status without the need for future sponsorship. At Moderna, we believe that when you feel your best, you can do your best work. That's why our US benefits and global well-being resources are designed to support you-at work, at home, and everywhere in between. Free premium access to meditation and mindfulness classes Subsidized commuter benefits Generous paid time off, including: • Vacation, sick time and holidays • Volunteer time to participate within your community • Discretionary year-end shutdown Location-specific perks and extras! About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. Our Working Model As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. Moderna is a smoke-free, alcohol-free, and drug-free work environment. Equal Opportunities Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Accommodations We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com. Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license. -