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

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

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

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

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

We've partnered with a recently funded AI-for-science startup building autonomous research agents designed to accelerate scientific discovery across domains like drug development, molecular design, and scientific analysis. Backed by significant early funding and operating at the cutting edge of AI infrastructure, the team is scaling quickly after major commercial traction and is now hiring a Principal Platform Engineer to own and scale the infrastructure powering their AI scientist platform. This is a highly hands-on leadership role for someone who has deep Kubernetes expertise, enjoys operating with high ownership in startup environments, and wants to build infrastructure that directly enables breakthrough scientific research. Join a rocket ship at the perfect inflection point. They just signed a major deal and are scaling rapidly, which means massive impact from day one. This would be 4-5 days in-office in Dogpatch, San Francisco. Key Responsibilities: • Architect, build, and operate Kubernetes infrastructure supporting thousands of long-running, stateful AI agent workloads., • Design and implement custom Kubernetes operators and CRDs using tools such as Kubebuilder, Operator SDK, and controller-runtime., • Own the broader infrastructure platform across cloud infrastructure, observability, networking, storage, and scaling strategy., • Lead and mentor a small platform engineering team while remaining heavily hands-on technically., • Partner closely with backend, ML, and research teams to design reliable infrastructure patterns for AI and scientific computing workloads., • Establish production-grade infrastructure practices around monitoring, alerting, observability, and incident response., • Drive infrastructure reliability, scalability, and operational excellence across the platform. Key Qualifications: • 10+ years of experience in infrastructure or platform engineering with deep hands-on Kubernetes expertise., • Proven experience architecting and operating Kubernetes platforms for long-running, stateful workloads rather than only stateless services or short-lived inference jobs., • Strong experience building custom Kubernetes operators and CRDs using Kubebuilder, Operator SDK, controller-runtime, or similar tooling., • Recent startup or small-team experience with end-to-end ownership of infrastructure platforms., • Experience leading or mentoring small engineering teams., • Strong cloud infrastructure experience across AWS, GCP, or Azure, including managed Kubernetes services (EKS/GKE/AKS)., • Familiarity with infrastructure-as-code tooling such as Terraform or Pulumi., • Experience building observability and monitoring systems using tools like Prometheus, Grafana, Datadog, or similar., • Background supporting ML infrastructure, scientific computing, or data-intensive platforms is highly valued., • Strong communication skills and high EQ, with the ability to work cross-functionally with technical and non-technical stakeholders. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform. In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health. What you'll do: • Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units., • Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement., • Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling., • Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring., • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety., • Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data., • Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics., • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling., • Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership., • Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership. In - Office Requirement Statement • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This position is not eligible for relocation assistance. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About the Role Are you ready to make your mark in Marketing? Do you bring analytical thinking? Are you a problem solver? At Ariat, we’re seeking a Strategic plus Data driven minded Marketing Analytics & Measurement Sr Analyst to support Marketing Measurement partners and help streamline market reporting across our growing business. This person will report to the Sr. Data Scientist, Analytics and work closely with the Marketing and Analytics teams to deliver Data that can lead to practical recommendations and solutions. This individual will Own Test Analysis & Learning, Deliver Ongoing Insights, and Improve Reporting & Efficiency. The person in this role will make an immediate impact by helping streamline reporting and reduce manual work by leveraging tools (including AI) to speed up analysis and improve output quality to support our mission and organizational objectives. The person in this role be a core function supporting efficiency. The ideal candidate for this role is passionate about data and analytics. They will primarily support internal leads and external MMM partners. You’ll Make a Difference By • Strongly collaborating with partners, • Creating efficiency, • Identifying trends and areas of improvements, • Work with internal leads and external MMM partners to understand model outputs, • Translate MMM results into clear summaries and actionable recommendations, • Help connect model insights to campaign performance and business context, • Analyze A/B tests and marketing experiments across channels, • Build clear readouts: what worked, what didn’t, and what to do next, • Help maintain a structured test-and-learn approach across marketing, • Support weekly and monthly marketing performance reviews, • Identify trends, opportunities, and areas of improvement, • Answer ad hoc business questions with data-backed insights, • Build repeatable templates for analysis and performance tracking About You • 2–5 years of experience in marketing analytics, business analytics, or similar roles, • Experience with marketing performance metrics and digital channels, • Experience in retail or eCommerce, • Exposure to MMM, attribution, or marketing measurement frameworks (direct or indirect), • Experience analyzing A/B tests or experiments, • Strong analytical and problem-solving skills, • Ability to clearly communicate insights to non-technical stakeholders, • Familiarity in using Gen AI tools like Claude, ChatGPT to improve productivity and analysis, • Familiarity with tools like GA4, Tableau, SQL, or similar About Ariat Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style. The salary range for this position is $110,000 - $120,000 per year. The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future. Ariat’s holistic benefits package for full-time team members includes (but is not limited to): • Medical, dental, vision, and life insurance options, • Expanded wellness and mental health benefits, • Paid time off (PTO), paid holidays, and paid volunteer days, • 401(k) with company match, • Bonus incentive plans, • Team member discount on Ariat merchandise Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice. Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email . Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information. Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust. As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. You are a technical expert and strategic partner who operates with significant autonomy and influence. As a Staff Data Scientist, you set the standard for scientific rigor, mentor senior ICs, and guide cross-functional teams without formal authority. You partner closely with Product, Engineering, Marketing, and Finance to align data science investments with business strategy, while shaping long-term vision for AI-driven personalization and marketplace optimization. This role reports to the VP, Data & Analytics. * Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions * Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces * Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning * Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent * Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation * Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems * Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) * Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) * Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility * Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization * Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies * Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet * 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields * Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) * Proven experience building and operationalizing LTV models for real-time or near-real-time applications * Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL * Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) * Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) * Demonstrated success deploying models that materially impact revenue, efficiency, or user experience * Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders * Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces Preferred Qualifications: * Experience with marketplace optimization, ranking systems, or auction-based environments * Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems * Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) * Domain experience in fintech, marketplaces, growth, or performance marketing * This role will be remote (based in the U.S.). * We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) * Industry-leading medical, dental, and vision health care plans for employees and their dependents * Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown * New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care * Mental health support * Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests * Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution * Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) * Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) * Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities * Hackathons and team events across all teams and departments * Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction * Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) * 401K with 4% company match * Be the first to test and benefit from our new financial products and tools * Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar * Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked___. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this___, as well as the Los Angeles Fair Chance Act, which requires this___. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: * E-Verify Participation Poster___) * Right to Work Poster___ /___ #LI-Remote

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

Job Summary Solera is seeking a Data Scientist to join our Insights team. You will work with large-scale claims and product engagement data to answer questions that matter to the business: Does our product improve health outcomes? How much does it save? Where are patients disengaging, and why? Your analyses will directly support enterprise sales, inform product decisions, and shape company strategy. You will work closely with our health economics team to design and execute rigorous analyses that demonstrate real-world value to customers. This is a high-impact role on a small team where your work directly influences business outcomes and product direction. You will be mentored directly by the team lead, with increasing ownership as you grow. Key Responsibilities • Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods), • Conduct analyses to measure the cost and outcomes impact of Solera's programs, • Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes, • Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement, • Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration, • Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights, • Document methodologies and findings clearly enough to withstand external scrutiny, • Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets Education & Experience • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required), • Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design, • 1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count), • Strong foundation in statistical methods: regression, hypothesis testing, study design, • Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience, • Ability to assess data quality, identify inconsistencies, and understand how upstream issues affect downstream results, • Python and SQL proficiency — you will build and maintain analysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark, BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment. Preferred Qualifications • Experience working with messy, real-world datasets (healthcare claims, EHR, insurance, government/public-use data, etc.), • Familiarity with healthcare data concepts (diagnosis codes, episode grouping, cost metrics, FHIR), • Experience with machine learning (scikit-learn, PyTorch, Spark ML, or similar), • Experience with survival analysis or longitudinal data methods, • Exposure to health economics, health services research, or outcomes research — through coursework, research, or industry experience, • Comfort using AI tools to improve productivity (e.g., Claude, Cursor) Core Attributes • Attention to detail: You validate results against expectations and don't hand off work you haven't double-checked., • Eagerness to learn: You seek out what you don't know rather than waiting to be taught., • Reliability: You follow through on commitments and communicate early when things aren't going as planned., • Curiosity: You want to understand the problem, not just complete the task. You ask why, dig into unexpected results, and aren't satisfied with an answer that doesn't make sense., • Communication: You can explain your methodology and results clearly to both technical and non-technical audiences. Location • This is a remote position based in the United States What We Offer • Competitive salary, • Comprehensive medical, dental, and vision coverage starting Day One, • Flexible time off beyond standard company holidays, • 401(k) with company match and financial wellness resources, • Generous parental leave and adoption assistance, • Remote-first work culture with team events and community building, • Phone stipend and wellness perks (Fitbit, fitness/mental health app access) Work Authorization Applicants must be currently authorized to work in the United States on a full-time basis. Solera Health is not able to sponsor or transfer employment visas for this position. Disclaimer: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. Solera Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Solera Health complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team.

Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective.

Machine Learning Data Scientist. Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members.

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team’s services to internal and external clients.

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team’s services to internal and external clients.

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team’s services to internal and external clients. The team consists of staff with specialized experience, such as resea

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

Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 1,900 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists that specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene. We are looking for a sharp Sr. Air Quality Engineer/Scientist (Environmental Permitting and Compliance) to join our team in Northern CA. This is a full-time position at 40 hours per week from one of our Northern CA offices (Berkeley, San Francisco, or San Jose) during our normal business hours. We offer competitive salaries, a full benefits package including Paid Time Off, Holidays, Full Medical/Dental/Vision, along with a 401k program with a generous company match. Position Summary: The Sr. Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned. This is a Senior level position. Positions at this level are assigned to perform the more complex and sensitive duties in the occupational field. The employee in this position may be assigned to train and mentor other employees and/or monitor work produced by other employees. The candidate’s experience and qualifications we are seeking include: • 10-20+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment);, • Experience in the environmental services industry focusing on leading Air Quality services:, • Process and equipment review;, • Air quality permitting under BAAQMD, SCAQMD, SJVAPCD and other Air Districts, including Title V Permitting;, • RECLAIM implementation and reporting;, • Annual Emissions Reporting;, • Air Dispersion Modeling;, • Air Quality Assessments including Data Analysis and Emission Inventories;, • General Air Quality Compliance for facilities in CA., • Ability to manage and lead active team members on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables;, • Ability to manage successful relationships with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality;, • Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies;, • Experience working on-site at client facilities;, • Prepare reports and submissions in timely manner;, • Experience with handling highly technical data and technical data interpretation;, • Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience;, • CA Regulatory/Compliance experience is required. Job Requirements: • B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college (minimum GPA of 3.0);, • Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently;, • Desire to train and share technical expertise in environmental rules and regulations with clients and team members;, • Excellent oral and written communications skills;, • Experience in conflict resolution and crisis management;, • Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions;, • Ability to think critically and develop solutions;, • Software Knowledge:, • Strong Microsoft Excel, Word, Outlook, and Powerpoint skills (required);, • Microsoft 365 Applications, including Sharepoint (a plus), • P.E. Certification (a plus).

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space. What you'll do: • Deep strategic analysisto answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?, • Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment., • Modeling: Build segmentation models to assess supply to inform pricing strategy., • Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc., • Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time)., • Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: • Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience, • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • Strong fundamentals in statistics, experimentation., • Domain knowledge in ecosystem, ads, or real-time-bidding., • Proven ability to apply scientific methods to solve real-world problems on web-scale data., • Proficiency in SQL/Hive/Python. Relocation Statement: This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$164,428—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

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

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do • Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks., • Lead projects on:, • Tradeoffs between organic engagement and advertising., • Deep dives on how engagement metrics impact monetization and retention., • Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes., • Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries., • Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference., • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact., • Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights., • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence., • Use advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization), turning highly ambiguous business questions into clear, testable hypotheses and decision frameworks for Core and Monetization leadership., • Apply AI-assisted analysis and developer tools (e.g., copilot, intelligent dashboards) to accelerate exploration, improve code quality, and scale insight generation, ensuring we can quickly evaluate tradeoffs like ad load vs. Pinner engagement., • Champion responsible and scientifically rigorous use of AI across the ecosystem, setting best practices for instrumentation, experimentation, and metric design so that AI-driven changes balance engagement, revenue, and long-term user trust. What we're looking for • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics., • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark., • Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems., • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes., • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences., • Track record mentoring and growing data talent at the staff/senior IC level., • Cross-functional leadership and the ability to align competing interests towards shared goals., • Proven track record applying machine learning and/or causal inference to complex, ambiguous product or marketplace problems at scale (e.g., ads, recommendations, multi-sided ecosystems), from problem framing and experimental design through to influencing senior stakeholders and driving product or policy decisions., • Hands-on experience with modern AI/ML tools and workflows (such as PyTorch, TensorFlow, scikit-learn, or similar, plus LLM-based assistants or copilots) and comfort rapidly adopting new AI capabilities into day-to-day analysis, prototyping, and experimentation workflows., • Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$164,695—$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale Generative AI experiences - including Pinterest Assistant and Canvas - ensuring these products are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's responsible AI mandate within the Advanced Technology Group (ATG). In this role, you will design and build the data science foundations for automated adversarial testing of our GenAI products - developing attack strategies, evaluation frameworks, and harm-detection methodologies that operate at scale. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety specialists, Policy teams, and Product Managers. You are expected to develop a deep understanding of generative AI vulnerabilities, and generate insights and robust methodologies to proactively surface and mitigate risks. The results of your work will directly influence product safety, policy compliance, and user trust across Pinterest. What you'll do • Design and develop automated adversarial testing methodologies - including single-turn, multi-turn, and multimodal attack strategies - to proactively identify vulnerabilities in Pinterest's Generative AI products., • Build and calibrate hybrid evaluation pipelines combining LLM-based judges, classifiers, and rule-based systems to accurately detect safety violations, policy breaches, bias, and representational harms., • Develop and operationalize harm taxonomies grounded in industry standards and Pinterest's Responsible AI and Trust & Safety threat models., • Design adaptive refinement loops that learn from attack outcomes (near-misses, partial failures) to iteratively surface deeper and previously unknown vulnerabilities., • Bring scientific rigor and statistical methods to the evaluation of AI safety - including benchmark dataset construction, evaluation calibration, and success-metric definition (vulnerability severity, coverage breadth, pre-launch risk reduction)., • Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML engineers, Trust & Safety specialists, policy teams, product managers, and legal partners to ensure safe product launches., • Relentlessly focus on impact, whether through influencing product safety strategy, advancing responsible AI metrics, or improving critical evaluation processes., • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and hands-on experience in one or more of: AI safety, adversarial machine learning, red teaming, responsible AI, or trust & safety., • Deep familiarity with large language models (LLMs), generative AI systems, and their failure modes - including prompt injection, jailbreaks, bias, and safety violations., • Experience designing and calibrating evaluation frameworks for AI systems - including LLM-as-judge, classifier-based evaluation, and benchmark dataset construction., • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines and large-scale experimentation., • Familiarity with AI safety taxonomies and frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) is strongly preferred., • Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership., • Excellent written and verbal communication skills, with the ability to explain complex technical findings to both technical and non-technical partners., • A team player eager to partner across Responsible AI, Trust & Safety, Product, Engineering, Policy, and Legal to turn safety insights into action. This position is not eligible for relocation assistance. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our ___ for a closer look at our company, and learn more about our cultural values ___. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our ___ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

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

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Ready to Ignite your career and work alongside some of the brightest and most innovative professionals in cutting-edge data and cloud technologies? Join us and unleash your potential in an Agile, mission-driven environment supporting the men and women dedicated to safeguarding the American people and enhancing the Nation’s safety, security, and prosperity. As a Databricks Subject Matter Expert, you will lead modernization efforts across enterprise data platforms, migrating legacy environments into scalable cloud-native architectures. You will design, build, and optimize advanced data pipelines and analytics solutions using Databricks, PySpark, and modern cloud tools—driving real-time insights and powering mission-critical applications. This role blends strategic architecture, hands-on engineering, and collaboration across cross-functional teams to deliver high-impact outcomes for national security missions. Your Role • Modernize the data warehouse environment by migrating the platform to Databricks., • Work with database developers and administrators across multiple product teams., • Serve as a data and technology expert across a broad and diverse set of mission critical applications., • Design, develop, and maintain robust and scalable data warehouse architectures and ETL/ELT data pipelines using Databricks, PySpark, Python, SQL., • Automate ETL/ELT data pipelines using Continuous integration, Continuous Deployment (CI/CD) tools and technologies., • Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes., • Analyze project-related problems and create innovative solutions involving technology, analytic methodologies, and advanced solution components., • Optimize and troubleshoot data pipelines and warehouse performance to ensure efficient and reliable data processing., • 3 year check for felony convictions, • 1 year check for illegal drug use, • 1 year check for misconduct such as theft or fraud, • 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, • 3–5 years of Databricks experience., • Alternative/equivalent technologies such as Snowflake, Google BigQuery, or Microsoft Azure Synapse Analytics will also be considered., • Proven expertise with Databricks, including extensive hands-on experience with PySpark, Python, SQL, Kafka, and Databricks notebooks., • Strong experience with data modeling techniques (e.g., dimensional modeling, data vault) and database design., • Experience building and optimizing data pipelines for batch and/or streaming data., • Experience with cloud platforms (e.g., AWS, Azure, GCP) and services related to data storage and processing (e.g., S3, ADLS)., • Experience automating ELT data pipelines using Continuous Integration, Continuous Deployment (CI/CD) tools and technologies., • Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies., • 5–10 years of DHS, DoD, or IC experience working in complex data environments, including the architecture and optimization of data schemas, terabyte-scale ETL, etc., • 5–10 years of experience applying a range of analytical techniques including statistical, geospatial, link, temporal, and predictive analysis, for DHS, DoD, or IC agencies., • 3–5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment., • Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure., • Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst., • Ability to apply advanced principles, theories, and concepts, and contribute to the development of innovative principles and ideas. Ignite IT offers a comprehensive salary and benefits package to include Medical, Dental, and Vision; Short Term/Long Term/Life Insurance; 401K with matching and fully Vested 100%; PTO; Holiday; Training; and much more… Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT 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. Applicants selected must be able to possess and maintain a government clearance as required for access to classified information. US CITIZENSHIP REQUIRED If located within 40 miles of Ashburn, VA, candidate is expected to work 1 day per week in-office • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Flexible schedule, • Flexible spending account, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Professional development assistance, • Referral program, • Retirement plan, • Tuition reimbursement, • Vision insurance

We’re transforming the United States Government and we know that takes a dream team. We believe customer experience starts with employee experience, so we take care of our employees. We offer competitive pay and benefits, invest in employee growth, and offer a culture you can’t find anywhere else. At Rise8, we continuously achieve unreached heights through next-level tech, and on-the-level collaboration. Together, we create continuous impact. We turn breakdowns into breakthroughs, make small steps into giant leaps, and deliver game-changing products through culture-changing process. We pair Risers with their customer counterparts and practice pairing at every moment to elevate people and teams and deliver results fast and forever. We work in small teams and rotate between them frequently so that we are able to meet new challenges and explore new ideas. Our methodology is about experimenting and learning, and our culture is empowering. We subscribe to an ethos of kindness. We make a point to bring empathy to each and every project and are guided by a promise and a purpose: to deploy critical outcomes to prod in order to drive relentless progress. Not just an idea. But an outcome. A better world. A world where every day, fewer bad things happen because of bad software. Rise8 is certified as___ with 100% of employees saying they love working here. • You want to make tomorrow better than today., • You enjoy daily decision making and real product delivery on a balanced team of product management, design, and engineering., • You help ensure project success and client satisfaction., • You enjoy collaborative teams, pairing with team members, and inviting your clients to participate., • You like to work alongside, and learn from, lean and agile leaders., • You are a creative problem solver who is comfortable with uncertainty and can lead the design effort to make better product decisions., • You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge. The Department of Defense (DoD) SkillBridge internship program is for military service members transitioning from federal service to commercial industry only. For DoD SkillBridge participants, we offer a 40 hr/wk apprenticeship where you will work alongside one of our professionals on product or in business operations. Length: 120-180 days preferred Location: Remote or on-site (Tampa or LA) Product Roles: Cloud Infrastructure/Cloud Platform, Security, and Application Development Roles: Product Manager, UX Designer, Software Engineer, Cloud Engineer, Platform Engineer, Security Engineer/Security Analyst, Data Engineer/Data Scientist Business Operation Roles: Brand, Marketing, Sales, Administration, Executive Leadership • Currently on active duty and eligible for SkillBridge, • Possess a growth mindset., • Demonstrated grit, resilience, and determination to overcome obstacles and achieve goals., • Entry level experience or certifications for the role you are applying for. All of Rise8’s work in this area is with Federal Government customers that require our employees involved with their projects be U.S. citizens. As such, this role requires U.S. citizenship. If hired, you would also be required to go through a background investigation. Rise8 is an Equal Employment Opportunity employer that will consider you for this role regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world. Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people. Clubhouse was our first app, and we’ve been quietly growing that while building our next set of products. We have years of runway, millions of users, and find ourselves at a very interesting time, where AI is making entirely new things possible with voice. If you are a talented builder who’s interested in joining us, we’d love to talk. * You'll be the senior technical anchor for our data science function, shaping how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. * You’ll own data strategy across the company. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Your work will be high-leverage and visible. * You’ll provide mentorship and thought partnership to our senior data scientists, and operate with the autonomy that comes with setting direction, not just executing within it. * We are a remote friendly-company — with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. * You're technically deep. You have 7+ years of experience as a data scientist. You're highly fluent in SQL and Python — not just for analysis, but for influencing engineering decisions, defining data infrastructure standards, and being a credible technical voice in system design conversations. You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. You've designed and analyzed experiments, know the difference between a well-run test and a noisy one, and have deep expertise in predictive modeling and ML techniques. * You think like a product partner, not a service org. You don't wait for requests – you proactively identify what questions matter, size opportunities, and help product managers figure out where to place bets. You have a healthy skepticism about data and know when something doesn't add up and dive deeper towards the right solution. * You communicate with clarity. You can take a messy analysis and turn it into a clear recommendation. You write well. You build dashboards and visualizations that people actually use to make decisions. * You thrive with autonomy. You will set the agenda for what the team works on and helps shape which bets the company makes. You thrive in turning ambiguity into a roadmap. * You ship. You have a bias toward getting things done. You'd rather have a good-enough answer today than a perfect one in two weeks. * You are a team player. You have a low-ego, put the team’s success first, and believe that fostering a collaborative and diverse environment is not only integral to the team's well-being but also crucial for driving innovation and achieving long-term success. * Own our experimentation framework and standards across squads. Define how we design, run, and evaluate experiments, setting the bar for what a well-run test looks like, driving consistency across the org, and directly owning the highest-stakes analyses. * Drive strategic opportunity sizing across the company. You’ll proactively identify where we should place bets and make data proactive product partners. You’ll synthesize signals across product areas and help leadership prioritize before roadmaps are locked. * Own company-wide, top line metric strategy and drive the data changes needed to ensure high data coverage and accurate metric forecasting for our quarterly and yearly goals. * Lead our predictive modeling and ML work. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills. * You’ll grow, teach, and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, and growing your skills on a daily basis. * You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together to help everyone have a life filled with great friendships. Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or make any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at ___.

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. * Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. * Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. * Microsoft Purview, including Information Protection and Rights Management. * Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. * Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. * Microsoft 365 Copilot and Copilot Studio. * Power Platform, including Power Automate and Copilot Agents. * Azure Virtual Desktop and Windows 365 Endpoint management. * Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Microsoft 365 Certified: Administrator Expert (MS-102) * Cybersecurity Architect Expert (SC-100) * Security Operations Analyst Associate (SC-200) * Identity and Access Administrator Associate (SC-300) * Information Protection Administrator Associate (SC-401) * Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint. Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

___ If you are a current and active PHI employee, do not use this site to apply for positions. You must apply using the ___ tile from our internal PeopleSoft system. Job ID2130 LocationWork From Home - USA Full/Part TimeFull-Time Regular/TemporaryTemporary ______ The Public Health Institute (PHI) is an independent, nonprofit organization dedicated to promoting health, well-being, and quality of life for people throughout California, across the nation and around the world. As one of the largest and most comprehensive public health organizations in the nation, we are at the forefront of research and innovations to improve the efficacy of public health statewide, nationally, and internationally. PHI was distinguished as one of the top 50 "Best Non-Profit Organizations to Work For" by the Non-Profit Times in a national search. SUMMARY: About Tracking California Tracking California, a program of the Public Health Institute in collaboration with the California Department of Public Health, mobilizes data for public health action. We track and analyze data on sickle cell disease, environmental health, and related health outcomes to protect California communities. Our core values are scientific integrity, transparency, sustainability, equity, and partnership. We are committed to building an inclusive team that reflects the populations we support, and we actively seek applications from individuals from marginalized or underrepresented communities. About the Internship This internship project focuses on researching available data, including outreach to data stewards, to create a more complete, standardized inventory of California's agricultural land use data to support ongoing surveillance of pesticide use near sensitive populations. The intern would lead efforts to enhance Tracking California's Pesticide Linkage Service by collating relevant geospatial datasets and helping produce agricultural pesticide application estimates at a fine geographic scale. This work directly supports Tracking California's mission to understand environmental exposures and protect vulnerable communities. Under the supervision and mentorship of a research scientist, the intern will gain direct experience in geospatial data management and public health surveillance methodology. They will have the opportunity to connect with Tracking California staff and attend program meetings, including the Tracking Implementation Advisory Group (TIAG) meeting with partners from community-based organizations, government, and academic institutions. They will also build or strengthen skills in geospatial data management, GIS software, and reproducible data documentation practices. This is a temporary, full-time position with a work schedule of 40 hours per week. The internship is expected to last up to 89 days, starting in June and ending in August 2026. The position is primarily remote with an option to attend in-person meetings if the intern is located in the San Francisco Bay Area, CA. Applicants who are available to work during core business hours for the Pacific Time zone are preferred. Full pay range for this position: $20.22 to $27.55 per hour. The typical hiring range for this position is from $20.22 (minimum) to $23.88 (midpoint) per hour. The starting wage is determined using a variety of factors, such as the candidate's knowledge, skills, and experience, as well as internal equity consideration and budget availability. Employment Type: Full Time Measurable Goals and Outcomes: • Produce an inventory and evaluation of available agricultural land use datasets across California, including an assessment of completeness, accuracy, and feasibility for exposure assessments at the sub-county or field level scale., • Attend Tracking California Staff Meetings, • Become familiar with Pesticide Use Reports datasets and associated tools for California and the role these datasets have for environmental health tracking work and impact, • Collect, link, and manage multi-source geospatial datasets, • Perform outreach to data stewards (e.g. California County Agriculture or GIS Departments) to identify and access relevant datasets, • Extract or create metadata, document key variables and methodologies, and standardize datasets across counties and years, • Evaluate and analyze datasets for completeness, accuracy and feasibility to link to related data, • Present completed work to Tracking California and PHI colleagues at the end of the internship, • Produce interactive mapping application showing available datasets by county Minimum Qualifications • Currently enrolled in the fourth year of a bachelor's degree program in science or quantitative field, or after graduation of the program. Other Qualifications • Demonstrated experience managing or analyzing spatial datasets, • Experience working with GIS software (e.g., ArcGIS, QGIS, R), • GIS coursework and/or related independent project using geospatial data, • Ability to communicate and document data structures and methodologies, • Experience with R or Python for data management and analysis is a plus For further information regarding Equal Employment Opportunity, copy and paste the following URL into your web browser: To apply for any position, you must create an account on the Public Health Institute's job application site. After creating your account, you may search the open positions and apply for the specific position that interests you. Please note, mailed and emailed applications will not be accepted. We're so pleased the Public Health Institute is an organization you would like to work with. Do you have questions about this opportunity? If so, email our recruitment team at ___. Additional information about PHI's benefits and compensation offerings can be found ___. The Public Health Institute is committed to providing access and reasonable accommodation in its services, programs, activities and employment for individuals with disabilities. To request disability accommodation in the application process, contact the Recruitment Team at least 48 hours in advance at ___.

Job Description The Sr. Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned. This is a Senior level position. Positions at this level are assigned to perform the more complex and sensitive duties in the occupational field. The employee in this position may be assigned to train and mentor other employees and/or monitor work produced by other employees. The candidate’s experience and qualifications we are seeking include: • 10-20+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment);, • Experience in the environmental services industry focusing on leading Air Quality services:, • Process and equipment review;, • Air quality permitting under BAAQMD, SCAQMD, SJVAPCD and other Air Districts, including Title V Permitting;, • RECLAIM implementation and reporting;, • Annual Emissions Reporting;, • Air Dispersion Modeling;, • Air Quality Assessments including Data Analysis and Emission Inventories;, • General Air Quality Compliance for facilities in CA., • Ability to manage and lead active team members on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables;, • Ability to manage successful relationships with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality;, • Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies;, • Experience working on-site at client facilities;, • Prepare reports and submissions in timely manner;, • Experience with handling highly technical data and technical data interpretation;, • Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience;, • CA Regulatory/Compliance experience is required. Job Requirements: • B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college (minimum GPA of 3.0);, • Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently;, • Desire to train and share technical expertise in environmental rules and regulations with clients and team members;, • Excellent oral and written communications skills;, • Experience in conflict resolution and crisis management;, • Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions;, • Ability to think critically and develop solutions;, • Software Knowledge:, • Strong Microsoft Excel, Word, Outlook, and Powerpoint skills (required);, • Microsoft 365 Applications, including Sharepoint (a plus), • P.E. Certification (a plus);Company DescriptionJoin Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 2,200 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists who specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene.Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 2,200 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists who specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene.

Job DescriptionPrincipal Clinical Scientist, MCED About the Role We are seeking a Principal Clinical Scientist to lead execution of key components of clinical development for our multi-cancer early detection (MCED) program. This role is central to driving study design, clinical data review, and scientific insights across multiple studies. You will serve as a clinical science lead within cross-functional teams – partnering with Clinical Operations, Biostatistics, Medical Affairs, and Regulatory to advance study execution and shape clinical strategy. This is a high-impact role for someone who can operate independently, manage complexity across studies, and influence decision-making at the study and program level. PRIMARY RESPONSIBILITIES Lead Clinical Development & Study Design * Lead substantial aspects of MCED clinical studies or multiple studies * Drive study design, including objectives, endpoints, eligibility criteria, and schedules of assessments * Author and review protocols, ICFs, CRFs, and study documents * Contribute meaningfully to clinical development strategy and study-level decision-making * Contribute to process improvements and development of best practices Drive Data Review & Strategic Insight * Lead medical and clinical data review to ensure data quality and integrity * Analyze complex datasets to identify trends, risks, and opportunities * Translate data into actionable insights that inform study and program decisions * Partner with safety and medical teams on signal detection and escalation Lead Cross-Functional Execution * Lead cross-functional study teams and coordinate execution across functions * Collaborate with Clinical Operations, Biostatistics, Medical Affairs, and Regulatory * Influence decisions and align stakeholders across competing priorities * Represent Clinical Science in internal and external forums (e.g., investigators, KOLs) Drive Study Performance & Program Value * Oversee enrollment, site performance, and key study metrics across studies * Identify risks and proactively adjust study-level strategies * Prioritize activities across studies to ensure quality, timelines, and program impact * Contribute to forecasting, planning, and milestone delivery Advance Scientific Communication * Lead development of abstracts, presentations, and manuscripts * Translate clinical and statistical results into clear scientific narratives * Support internal decision-making and external evidence generation Required Qualifications * Advanced degree (PhD, PharmD, MD, or equivalent; MS/RN with experience considered) * 8–12 years of experience in clinical research, clinical science, or related field * Strong experience leading clinical studies and contributing to study design * Experience with clinical data review and interpretation Preferred Qualifications * Experience in oncology, diagnostics, or early cancer detection * Experience working across multiple studies or programs * Track record of scientific publications and conference presentations Key Competencies * Ability to lead complex clinical studies or multiple workstreams independently * Strong analytical skills with ability to synthesize complex data into decisions * Effective influencer across functions and senior stakeholders * Strong ownership mindset with ability to prioritize across competing demands * Excellent scientific communication skills * Ability to operate effectively in a fast-paced, ambiguous environment The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$187,800—$234,800 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

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

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

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

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

About the Role Are you ready to make your mark in Marketing? Do you bring analytical thinking? Are you a problem solver? At Ariat, we’re seeking a Strategic plus Data driven minded Marketing Analytics & Measurement Sr Analyst to support Marketing Measurement partners and help streamline market reporting across our growing business. This person will report to the Sr. Data Scientist, Analytics and work closely with the Marketing and Analytics teams to deliver Data that can lead to practical recommendations and solutions. This individual will Own Test Analysis & Learning, Deliver Ongoing Insights, and Improve Reporting & Efficiency. The person in this role will make an immediate impact by helping streamline reporting and reduce manual work by leveraging tools (including AI) to speed up analysis and improve output quality to support our mission and organizational objectives. The person in this role be a core function supporting efficiency. The ideal candidate for this role is passionate about data and analytics. They will primarily support internal leads and external MMM partners. You’ll Make a Difference By • Working with internal leads and external MMM partners to understand model outputs, • Translating MMM results into clear summaries and actionable recommendations, • Helping connect model insights to campaign performance and business context, • Analyzing A/B tests and marketing experiments across channels, • Building clear readouts: what worked, what didn’t, and what to do next, • Helping maintain a structured test-and-learn approach across marketing, • Supporting weekly and monthly marketing performance reviews, • Identifing trends, opportunities, and areas of improvement, • Answering ad hoc business questions with data-backed insights, • Building repeatable templates for analysis and performance tracking, • Assisting with other responsibilities based on business needs About You • 2–5 years of experience in marketing analytics, business analytics, or similar roles, • Experience with marketing performance metrics and digital channels, • Experience in retail or eCommerce, • Exposure to MMM, attribution, or marketing measurement frameworks (direct or indirect), • Experience analyzing A/B tests or experiments, • Strong analytical and problem-solving skills, • Ability to clearly communicate insights to non-technical stakeholders, • Familiarity in using Gen AI tools like Claude, ChatGPT to improve productivity and analysis, • Familiarity with tools like GA4, Tableau, SQL, or similar About Ariat Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style. The hourly range for this position is $52.00 - $58.00 per hour. The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future. This contract position may be eligible for select benefits through the payrolling agency. Benefits may include medical, dental, and vision insurance options and 401k. Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice. Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email . Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information. Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionAs a Senior Data Scientist, you will be embedded within Gridware’s Fleet team, driving fleet performance optimization across our network of IoT devices. You will work across hardware, firmware, connectivity, and backend systems to understand real-world system behavior and optimize performance end-to-end. A core focus of this role is balancing competing system constraints—such as power consumption, data fidelity, connectivity reliability, and anomaly detection latency—to ensure optimal fleet performance. This role combines modeling, experimentation, and hands-on investigation to ensure reliable, scalable system performance in dynamic, real-world environments.Responsibilities • Develop models and analyses to optimize system performance across competing constraints (e.g., power usage vs data quality vs responsiveness), • Define and implement end-to-end observability, establishing metrics across system components and dependencies, • Design and run experiments (e.g., pre/post, control vs test) to evaluate changes and detect regressions at both component and system levels, • Build and refine anomaly detection and failure analysis methods across complex, real-world data, • Lead ad hoc investigations into system issues, identifying root causes and driving resolution with cross-functional teams, • Translate insights into actionable recommendations across Firmware, Hardware, Software, and Operations, driving measurable improvements in system behavior, • Develop predictive systems for early issue detection and performance forecasting, including in environments with limited historical data, • Continuously evolve analyses into scalable intelligence systems that support monitoring, decision-making, and automationRequired Skills, • 5+ years of experience in data science working on production systems or real-world applications, • Proven experience building, deploying, and maintaining models in production environments, • Strong proficiency in Python and SQL, • Experience working with complex, real-world datasets (e.g., time-series, event-based, or system-generated data), • Strong foundation in statistical analysis, experimentation, and/or anomaly detection, • Proven ability to bring structure to ambiguous, open-ended problems, iterating quickly to drive toward practical, high-impact solutions (80/20 mindset), • Experience working cross-functionally with engineering and operational teamsBonus Skills, • Experience working on distributed hardware/software systems such as robotics, autonomous vehicles, IoT fleets, charging infrastructure, or energy/grid systems