Mathematics jobs in San Francisco, California - Page 4Create job alerts

The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an experienced Senior Manager/Associate Director of Statistical Programming to provide Statistical Programming leadership and expertise in support of clinical development, including oversight of vendors and contract programmers to ensure quality deliverables, and to validate results. In this role, you will: • Lead statistical programming activities across clinical programs, ensuring the development and quality control of tables, listings, figures, analysis datasets. Conduct exploratory statistical analysis to support key decision-making, • Oversee external functional service providers to ensure timely and high-quality programming deliverables, • Develop and maintain standards, guidance, applications, and processes for Statistical Programming operations in adherence with ICH and regulatory requirements, • Drive the adoption of innovative programming technologies and workflows to enhance the efficiency of clinical data review, cleaning, reconciliation, and integration. Additionally, develop analytics tools that enable effective data monitoring and knowledge discovery of clinical data The Team You’ll Join As Senior Manager/Associate Director of Statistical Programming, you'll report directly to the Head of Statistical Programming and will be a key member of the Biometrics Leadership Team. The Biometrics Team is an innovation-driven and execution-minded group of drug development professionals responsible for supporting Recursion's innovative science through novel trial design, data collection, integration, analysis, and enabling data-driven decision making. The Experience You’ll Need • BS/MS degree in life science, computer science, statistics, mathematics, or equivalent relevant degree., • 8+ years of statistics and programming experience with advanced knowledge in pharmaceutical, biotechnology industries, and 5+ years of serving as Lead Statistical Programmer across multiple therapeutic areas., • Demonstrated proficiency in SAS, R, and R-Shiny and mastery of complex graphing techniques to derive analysis datasets, produce tables, figures and listings, and conduct exploratory analyses., • Skilled in developing open-source R packages and visual analytics for exploratory and interactive data analysis, visualization, and insight generation., • Expert knowledge of data standards including CDISC, SDTM, and ADaM, and relevant regulatory guidelines., • Experience with regulatory submissions in the US, Europe, and other regions., • Excellent interpersonal and communications skills including ability of conflict management and resolution. Working Location & Compensation: This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah, or our office in New York City, New York. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $238,400 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DB1 #LI-REMOTE The Values We Hope You Share: • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust., • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action., • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection., • We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day., • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together., • We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ___, or connect on ___ and ___. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Edetek is seeking a highly skilled Senior Statistical Programmer to join our dynamic team. As a leader in data analytics, we are dedicated to providing innovative solutions to our clients in the pharmaceutical and healthcare sectors. In this pivotal role, you will leverage your expertise in statistical programming to ensure the integrity and quality of our data analyses. You will work closely with biostatisticians, clinical data managers, and other cross-functional teams to develop and execute statistical analyses that drive decision-making processes. The ideal candidate will have a strong background in programming languages such as SAS and R, as well as a deep understanding of clinical trial methodology and regulatory requirements. This position offers the opportunity to collaborate on high-impact projects, mentor junior programmers, and contribute to the development of our programming standards. If you are passionate about turning data into actionable insights and have a proven track record in advanced statistical programming, we invite you to apply and become a crucial part of our innovative team at Edetek. • Develop and validate SAS programs to generate SDTM, ADaM datasets, tables, listings, and figures for clinical trial data., • Collaborate with biostatisticians and data managers to understand project requirements and statistical analysis plans., • Perform data manipulation and statistical analyses using appropriate programming techniques., • Develop, review and critique programming specifications and outputs to ensure accuracy and compliance with standards., • Mentor and provide guidance to junior statistical programmers to enhance their skills and productivity., • Participate in the development and implementation of programming standards and best practices., • Contribute to regulatory submissions by preparing documentation and providing support during audits., • Bachelor's degree in Statistics, Biostatistics, Mathematics, or a related field; Master's degree preferred., • Minimum of 5 years of experience in statistical programming within the pharmaceutical or clinical research industry., • Proficiency in SAS programming; experience with R and other statistical software is a plus., • Strong understanding of clinical trial design and regulatory requirements for statistical analysis., • Experience with data management processes and data validation techniques., • Excellent problem-solving skills and attention to detail., • Choice of comprehensive Medical, Vision and Dental Insurance plans, • Paid vacation time and sick days, • Corporate holidays annually, • Participation in the 401K Plan, • Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc., • Health Advocate and Employee Assistance Program

Job DescriptionThe Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow. You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day. What You'll Do * Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph. * User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them. * Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product. * Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems. * Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes. * Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact. Qualifications * Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline. * True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline. * Proficiency in Python and SQL. * Experience working with large-scale user or behavioral datasets. Preferred Qualifications * Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker. Why Triumph? * High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction. * High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth. * High energy. Passionate team who are proud of our work and velocity (16x year over year growth). * Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco. Compensation Range: $200K - $400K

Job Description Are you eager to make a real difference through data and innovation while enjoying flexibility that supports how you work best? Make an impact at the center of California’s workers’ compensation system while benefiting from a hybrid schedule that allows you to work remotely 60% of the time. At the WCIRB, we offer the best of both worlds: the freedom to do deep analytical work from home most days, paired with purposeful onsite collaboration (40%) at our modern San Francisco headquarters. It’s a structure designed to support focus, autonomy and long‑term professional growth. Our actuarial and research teams work on a wide range of workers’ compensation projects, from medical cost trend analysis and classification research that support advisory pure premium rate changes to innovative studies uncovering emerging drivers of system costs. Recent work has explored topics such as employee tenure, long COVID and the effectiveness of experience rating in promoting workplace safety. Our culture is collaborative and mission‑driven and our benefits are designed to support both wellbeing and career development. Employees also enjoy robust retirement offerings, including both a 401(k) and a pension plan. The Workers' Compensation Insurance Rating Bureau of California (WCIRB) is California's trusted, objective provider of actuarially based information and research, advisory pure premium rates, and educational services integral to a healthy workers' compensation system. We are a private, nonprofit association representing more than 400 member companies, funded entirely by membership fees and assessment. We employ approximately 175 people, with our headquarters located in downtown San Francisco. About the Role We are seeking an experienced Lead Actuarial Analyst who is energized by complex analytical challenges, cross‑functional collaboration and the chance to influence methodologies used statewide. This role is central to the WCIRB’s actuarial functions and offers meaningful opportunities for independence, visibility and professional development. Responsibilities • Leads the analysis and evaluation of statistical data pertaining to pure premium rates; identifies trends or cost drivers; prepares materials for committees or rate filings to evaluate impact of various cost drivers on pure premium rates., • Leads actuarial analyses of aggregate data and ratemaking methodologies; recommends adjustments to actuarial ratemaking methodologies to the Vice President, Actuary and Chief Actuary; periodically validates appropriateness of methodologies., • Provides key deliverables and correspondence with WCIRB members and other customers, such as the insurance department and governmental agencies, on complex data and other technical issues, with minimal or no supervision., • Represents the Actuarial department and provides subject matter expertise on actuarial data and data collection processes to representatives of other units of the WCIRB on various cross‑functional projects and issues., • Prepares, reviews, and analyzes various studies of aggregate and classification experience for rate filings and other reports produced by Actuarial Services including those presented to WCIRB Committees and Working Groups., • Leads the Actuarial team’s efforts in collaboration with the IT department on the development and changes to applications used by the Actuarial team and customers to submit, retrieve, and/or analyze data., • Supervises the development and maintenance of data products and oversees the fulfillment of data requirements pursuant to statutory and regulatory mandates., • Performs peer reviews of analysts’ work., • Supervises actuarial analysts in various aspects of analyses; oversees progress of projects and guides projects to completion in an accurate and timely manner. Qualifications • Educational background (Bachelor’s degree or above) in a technical field such as mathematics, actuarial science, applied statistics, or economics., • Five years of experience as an actuarial analyst in a property/casualty insurance company, rating organization, consulting firm, or a state insurance department. Required Skills • Very strong professional communication skills, both verbally and in writing., • Strong listening and interpersonal skills., • A high level of ability in the utilization of mathematical techniques for the analysis of statistical information., • The ability to develop a complete theoretical framework with precisely defined relationships, as necessary in special studies or rate revisions., • Very strong proficiency in the following three areas with six years' experience preferred: mathematics, applied statistics, and programming (in a language such as VBA, SQL, R, or Python)., • Proficiency in Microsoft Office Suite., • Associate of the Casualty Actuarial Society (CAS) or at least six CAS exams with extensive related experience. Benefits Our employees enjoy a state‑of‑the‑art, energy‑efficient, open work environment that nurtures collaboration and creativity. We go the extra mile to keep our employees happy and healthy and are proud to be recognized as a Plan Sponsor of the Year finalist for our commitment to retirement readiness through strong 401(k) and pension offerings. Some of our perks include: • Hybrid work environment (40% onsite / 60% remote), • Medical, dental, and vision benefits, • Commuter benefits, • Competitive PTO program, • 401(k) and pension plan, • Annual incentive plan, • Ten paid company holidays, • Social activities, • Community volunteer involvement The WCIRB supports actuarial credentialing through paid study time, full coverage of exam fees and materials and base salary increases for each exam passed. Equal Opportunity Statement WCIRB is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law. The successful candidate will reside in California and will work from our headquarters in San Francisco at least 40% of the time. We are not able to pay for relocation costs or to sponsor or take over sponsorship of an employment visa at this time. The successful candidate will reside in California and will work from our headquarters in San Francisco at least 40% of the time. We are NOT able to pay for relocation costs for candidates or to sponsor or take over sponsorship of an employment Visa at this time. Thank you for your interest in the WCIRB!

Job Description Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education. We support students of all kinds by building strong partnerships between schools and teachers. As we continue to grow, we are looking to connect with passionate, qualified, and dedicated teachers who may be interested in joining our team! We ensure that all of its teachers have everything that they need to be successful in the classroom. This includes providing a comprehensive curriculum, coaching and mentorship, and professional development at no cost. We are anticipating several openings for the 2026-2027 school year. To prepare for these opportunities, we are searching for candidates interested in teaching Mathematics for middle and high school level students. This is not a job posting, but a general application. The information you include will be used to match you to positions as they come available. Please ensure that you provide all requested information and we will be in contact when we have an opportunity that matches your skillset and location. If what we have shared resonates with you, Kreyco may be your new professional home. We look forward to hearing from you soon! You can learn more about Kreyco and what it is like to work with us by following this link to watch a short video: Kreyco is hiring! Requirements • Bachelor's degree, • Reside in the US and within commutable distance to school, • Authorized to work in the United States, • Reliable transportation to and from job site, • Curriculum provided, • Professional development, • Weekly coaching, • Holiday pay, • Part-time and full-time positions

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo. We are looking for a highly experienced technical strategist and innovator who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide, and act. As an AI Specialist SC, you will join our presales team supporting some of our largest global customers. You will focus on our core offerings in machine learning, how do we apply best in class ML, position it appropriately, and have the right technical discussions to be able to drive impact for our global customers. You will collaborate closely with our product teams, sales, domain specialists, business value consultants, customer success, and partners to bring our AI vision to life. • Lead the AI Revolution: Decision-making is moving at an unprecedented speed. You will be at the forefront, helping business leaders move beyond traditional analytics to embrace forecasting automation, agentic workflows, and real-time ML-driven insights., • Drive Transformative Impact: You'll work with decision-makers at leading enterprise organizations, architecting solutions that impact thousands of employees and billions in revenue., • Build Deep Partnerships: You'll straddle the line between our product teams and go-to-market strategies, ensuring customer needs are met while driving technical wins in the sales process., • Define the Future: You'll represent one of the fastest-growing enterprise AI platforms, with a career path to match your ambition. You will be a key voice in applying innovation to solve real-world business challenges., • Be the go-to technical expert for our ML capabilities, across multiple frameworks, data modeling, and planning applications., • Lead technical discovery sessions to uncover critical business needs and identify opportunities for ML & AI-driven transformation., • Present our POV, solutions and value to customers as part of broader sales motions, narrative-driven demos, AI workshops, and proofs-of-concepts., • Coordinate with specialist and product teams to position multi-product solutions and mature complex, AI-focused opportunities to close., • Serve as the voice of the customer to our product and engineering teams, ensuring your insights from the field shape the future of Anaplan's AI platform., • Degree in mathematics, statistics, machine learning, data science, physics, computer science, engineering, or another quantitative field., • Past experience working with Python and SQL (with a focus on data & analytics applications)., • A strong grasp of the forecasting and analytics landscape, including business intelligence, machine learning, how to apply them effectively in different scenarios., • Understanding of cloud-based software from market-leading providers such as AWS, MS Azure, or Google Cloud., • 5+ years of experience in a technical data science role, technical solution engineering, or ML/AI-driven presales role (SaaS/enterprise software preferred)., • Effective communication and presentation skills, particularly the ability to explain complex analytical and machine learning concepts in a comprehensible manner to different audiences, from business managers to technical engineering teams., • Experience with Supply Chain planning processes, with a focus on retail verticals is highly preferred. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead - AI Security Portfolio. CAST conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. In this senior leadership role, you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them. You will report to CAST Founding Director, ___, and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND's broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities. As Portfolio Lead, you will: * Define and drive RAND's research agenda on secure AI systems, establishing priorities across multiple teams and programs. * Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis. * Mentor and manage senior technical staff, project leaders, and researchers across a portfolio of 15-30 people. * Translate technical findings into actionable insights for policymakers, regulators, and industry leaders. * Oversee development of AI-specific threat models, security architectures, and evaluation tools that assess cyber risks and resilience. * Engage directly with senior government and industry stakeholders to ensure RAND's research informs decisions at the highest levels. * Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels. This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact. Qualifications All research leadership positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields. * Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets. * Proven experience designing and delivering complex projects from concept through completion. * Deep understanding of AI ___, system vulnerabilities, and cyber capability evaluation. * Strong ability to communicate complex technical issues to senior non-technical stakeholders. * Familiarity with U.S. cybersecurity policy processes and agencies. * Excellent written and verbal communication skills. Preferred: * Background in leadership at frontier AI labs, startups, or hyper-scalers * Background in AI or cybersecurity R&D, red team operations, or ___ (APT) defense. * Experience developing or overseeing secure infrastructure for AI model training and deployment. * Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow). * Experience working in or with government on AI or cybersecurity policy. * Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program. Education Requirements PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience. OR Master's degree in the fields listed above with 9+ years of professional experience, is required. OR Bachelor's degree in the fields listed above with 12+ years of professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Job Description The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science, and core business decisions. You'll have a direct impact on all facets of the business, applying your quantitative rigor directly to what drives revenue and player experience. You'll build the models and frameworks that power our most critical business decisions. You'd be joining a small, high-output quant team (4 people today) that operates more like a trading desk than a data org. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and interesting as what you'd find at a quant fund - constrained optimization, adversarial dynamics, real-money risk - but with more ownership, faster feedback loops, and direct impact on what gets built. You ship something, and you see it in the numbers the next day. What You'll Do * Develop and optimize core risk-taking and revenue-generating algorithms — the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's business. * Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration. * Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. * Identify high-leverage quantitative problems across the business and drive them from formulation to production impact. * Partner closely with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions. * Design and build machine learning models that directly inform acquisition spend and product decisions. Qualifications * Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline. * True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, computer science, or math. We want spiky people who are confident that they are the best in their discipline. * Proficiency in Python and SQL. * Experience working with large amounts of data. Preferred * Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally competitive in any activity. Some members from our company include national champions in debate, Clash Royale, and Poker. Why Triumph? * High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction. * High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth. * High energy. Passionate team who are proud of our work and velocity (16x year over year growth). * Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco. Compensation Range: $200K - $400K

At Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Engineering Managers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints. This role leads the Core Mobile Experience team, which owns most of Dropbox’s core user-facing mobile surfaces and is foundational to the File Sync and Share experience that underpins customer trust. As Engineering Manager, you’ll lead up to 25 engineers, drive high-impact outcomes through ambiguity, and foster a culture of innovation, ownership, and operational excellence. Working closely with cross-functional partners in a virtual-first environment, you’ll combine strong technical and people leadership to shape strategy and deliver meaningful business and customer impact. In this role, you will partner with a dedicated Product Manager to be the directly responsible individuals for executing on critical company-wide business objectives, with direct oversight from the CEO. They will accountable for the business impact of the same. Our Engineering Career Framework is ___ and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more ___. • Directly manage up to 25 direct reports, as a single execution unit, • Partner with multiple Product Managers to plan roadmaps and sprints, • Responsible for making tradeoffs between feature work and addressing long term technical debt, • Responsible for excellence in software quality, engineering practices and operations., • Lead their team through standard Agile processes, such as backlog management, stand ups, retros, etc, • Review and Approve engineering designs and able to set technical direction (in collaboration with a Technical Lead), • Drive cross-org initiatives while leading execution and actively supporting the career growth and development of your direct reports Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. • BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience, • Minimum of 8 years of people management experience with an engineering team, • Minimum of 10 years as a software engineer or equivalent technical experience, • Must have experience managing engineering organizations of 20 or above, and experience managing managers, • Must have experience being a hands-on mobile engineer at a senior level, • Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc), • Must have experience running a standard Agile process such as backlog management, stand ups, retros, etc, • Setting strategic direction on a consumer-facing product, • Experience building cross platform (iOS & Android) software US Zone 1 This role is not available in Zone 1 US Zone 2$223,400—$302,200 USDUS Zone 3$198,600—$268,600 USD

Open date: May 23, 2025 Most recent review date: Sunday, Nov 30, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Nov 23, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Li Lab - Junior/Assistant/Associate/Full Specialist The Li Lab is seeking a Junior, Assistant, Associate, or Full Specialist. The primary research area will focus on applying advanced MRI methods and/or machine learning to evaluate patients with brain tumors. The candidate will be expected to develop, utilize, and extend innovative imaging and spectroscopic data acquisition, processing, and/or statistical and data analysis tools to analyze multimodal imaging and spectroscopic data. Specifically, the main tasks will involve data collection, management, and analysis, including image segmentation, spectral analysis, multi-parametric cohort analysis, building and training predictive models, and the translational application of the developed tools to study patients with brain tumors and/or other neurological diseases. Required Qualifications: • Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in a related science (biomedical imaging, applied mathematics, engineering, computer science, etc.) or at least four years of research experience., • Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience., • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience., • Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience., • Applicants must meet all the qualifications by the time of hire., • PhD in biomedical imaging, applied mathematics, engineering, computer science, or related field., • Have at least 4 years of research experience using MR imaging. Please apply online at: with a CV and contact information for three references. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter (Optional) * Statement of Research (Optional) Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Position title: Instructor (Non-Senate, Non-Tenure Track) Salary range: The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $1,500 - $4,500 total per course. For an asynchronous Fixed Date Online course, this position is paid $200 - $350 per enrolled student and a reasonable estimate ranges from $1,600 -$5,250 total per course. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors. Percent time: Part-time by agreement on a course-by-course basis. Anticipated start: Some appointments may begin as early as the spring semester. Review timeline: Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply. Position duration: Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 2 days to 8 weeks. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Open date: August 27, 2025 Next review date: Monday, May 11, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Aug 26, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education in Clinical Research, Regulatory Affairs, and Biotechnology to teach one or more online courses each year for our Sciences, Mathematics, and Biotechnology department. Courses are offered online: • Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom). Clinical Research • Introduction to Clinical Research: Clinical Trial Phases and Design, • Clinical Trial Planning: Protocol Development, Data Management and Clinical Site Activities, • Clinical Trial Implementation: Site Initiation, Subject Recruitment, Monitoring and Safety Reporting, • Principles of Regulatory Affairs: Pharmaceuticals and Medical Devices, • Submissions and Commercialization, • Preparation, Submission and Agency Interfacing, • Harmonization Across Worldwide Applications, • Post-Approval Activities, • Principles of Supply Chain and Manufacturing, • Principles of Product and Process Development, • Principles of Quality and Compliance, • Drug Development Process, • Classroom Teaching Experience, • Synchronous Online Teaching Experience (online lectures via Zoom), • For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction., • For asynchronous instruction (fixed date online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director. Regulatory Affairs Program: Clinical Research, Regulatory Affairs, and Biotechnology Courses: Basic qualifications (required at time of application) • Advanced degree Additional qualifications (required at time of start), • U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf. Preferred qualifications, • Doctorate degree or equivalent international degree in course subject., • 3 or more years of teaching, training, or coaching experience in the course subject at a U.S. college/university institution, or within a U.S. Clinical Research, Regulatory Affairs, or other Biotechnology corporate environment., • Knowledge of federal and California state laws and regulations as applicable to the course subject., • Professional license, certification, or credential within a Clinical Research, Regulatory Affairs, or other Biotechnology field., • Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes., • Experience teaching and/or developing academic content for online courses., • Ability to convey conceptual and complex ideas and information., • Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy., • Effective verbal/written communication and presentation skills (English)., • Effective organizational skills with attention to detail., • Ability to collaborate with colleagues and work within a team environment., • Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc). Document requirements Curriculum Vitae - Your most recently updated C.V. * Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Reference requirements UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy, • APM - 035: Affirmative Action and Nondiscrimination in Employment San Francisco Bay Area, California, U.S.A.

Salary range: The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $3,250 - $6,000 total per course. For an asynchronous Start Anytime Online course, this position is paid $160 - $180 per final student course grade submitted each month; a reasonable estimate ranges from $2,560 - $18,000 total per course; and monthly payments typically begin within 6 months after the course start date. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors. Percent time: Part-time by agreement on a course-by-course basis. Anticipated start: Some appointments may begin as early as the spring semester. Review timeline: Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply. Position duration: Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall/spring semesters, course length typically ranges from approximately 7 to 17 weeks. For the summer semester, course length is typically 8 weeks long. For asynchronous online start anytime courses, agreement length typically ranges from approximately 6-18 months. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Open date: October 2, 2025 Most recent review date: Monday, May 11, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education in Mathematics and Statistics to teach one or more online courses each year for our Sciences, Mathematics, and Biotechnology department. Courses are offered online: • Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom). Mathematics • Analytic Geometry, • Calculus I, • Calculus II, • College Algebra, • Linear Algebra, • Math for Management, • Multivariable Calculus Teaching Experience • Classroom Teaching Experience, • Synchronous Online Teaching Experience (online lectures via Zoom), • For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction., • For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director., • Doctorate degree or equivalent international degree Additional qualifications (required at time of start), • U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf. Preferred qualifications, • Doctorate degree or equivalent international degree in course subject or related area., • 3 or more years of professional or undergraduate-level teaching experience (as the primary instructor) in the course subject., • Experience teaching at a U.S. college/university institution., • Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes., • Experience teaching online and/or developing academic content for online courses., • Ability to convey conceptual and complex ideas and information., • Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy., • Effective verbal/written communication and presentation skills (English)., • Effective organizational skills with attention to detail., • Ability to collaborate with colleagues and work within a team environment., • Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google tools (email, calendar, docs, sheets, slides, etc). Document requirements Curriculum Vitae - Your most recently updated C.V. * Statement of Teaching - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. * Teaching Evaluations - Please include your most recent student course evaluations. * Cover Letter (Optional) Reference requirements UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy, • APM - 035: Affirmative Action and Nondiscrimination in Employment San Francisco Bay Area, California U.S.A.

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

Position title: Instructor (Non-Senate, Non-Tenure Track) Salary range: The compensation model varies depending upon the course delivery format. For a synchronous Classroom (In-Person) or Live Online course, a reasonable estimate for this position is $2,750 - $6,800 total per course. For an asynchronous Start Anytime Online course, this position is paid $180 - $200 per final student course grade submitted each month; a reasonable estimate ranges from $900 - $20,000 total per course; and monthly payments typically begin within 6 months after the course start date. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors. Percent time: Part-time by agreement on a course-by-course basis. Anticipated start: Some appointments may begin as early as the spring semester. Review timeline: Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply. Position duration: Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall/spring semesters, course length typically ranges from approximately 9 to 18 weeks. For the summer semester, course length typically ranges from approximately 7 to 9 weeks. For asynchronous online start anytime courses, agreement length typically ranges from 6-18 months. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Open date: October 6, 2025 Next review date: Monday, May 11, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Monday, Oct 5, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education in Biology, Chemistry, and Physics to teach one or more in-person and/or online courses each year for our Sciences, Mathematics, Biotechnology, and Health Sciences departments. Courses are offered in-person and online. • Classroom instruction takes place in the San Francisco Bay Area (California, U.S.A.), including Alameda County and San Francisco County. We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For a complete list of courses and course descriptions, please refer to the departmental links below. Biology • General Biology I lecture and lab (cell structure + function, prokaryotes, eukaryotes, metabolism, molecular genetics, classification, animal development, form + function), • Introductory Biology With Lab, • General Biology II lecture and lab (fungi + plant development, population genetics, ecology, conservation, origin of life, evolution, classification), • Biochemistry, • Biology of Aging, • Biology of Human Cancer, • Biostatistics, • Cell Biology, • Current Topics in the Biosciences, • Developmental Biology, • Endocrinology, • Epidemiology, • Genetics, • Genomic or Personalized Medicine, • Hematology, • Human Anatomy/Neuroanatomy lecture and lab, • Human Nutrition, • Immunology, • Kinesiology (Introduction to Kinesiology, Mechanical Kinesiology), • Medical Terminology, • Microbiology/Infectious Disease (Microbiology lab, Medical Microbiology lecture, Principles of Infectious Disease lecture), • Molecular Biology, • Neuroscience, • Parasitology, • Pathophysiology, • Pharmacology, • Physiology (Lecture/Lab: general human, Lecture Only: mammalian + systemic, cardiac + respiratory, exercise), • Stem Cell Biology, • Toxicology, • Chemistry for the Health Sciences, • General/Inorganic Chemistry I lecture and lab, • General/Inorganic Chemistry II lecture and lab, • Introduction to Chemistry, • Introduction to Organic Chemistry, • Organic Chemistry I lecture and lab, • Organic Chemistry II lecture and lab, • Concepts of Physics, • General Physics I lecture and lab Teaching Experience • Classroom Teaching Experience, • Synchronous Online Teaching Experience (online lectures via Zoom), • For synchronous instruction (classroom or live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction., • For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director. Chemistry and Physics Course Descriptions: Clinical Laboratory Science Course Descriptions: Basic qualifications (required at time of application) • Doctorate degree or equivalent international degree. Additional qualifications (required at time of start), • U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf. Preferred qualifications, • Doctorate degree or equivalent international degree in course subject or related area., • 3 or more years of professional or undergraduate-level teaching experience (as the primary instructor) in the course subject., • Experience teaching at a U.S. college/university institution., • Experience teaching and/or developing academic content for online courses., • Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes., • Ability to convey conceptual and complex ideas and information., • Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy., • Effective verbal/written communication and presentation skills (English)., • Effective organizational skills with attention to detail., • Ability to collaborate with colleagues and work within a team environment., • Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc). Document requirements Curriculum Vitae - Your most recently updated C.V. * Cover Letter * Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop. Open the document using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete all six (6) pages, save, and upload the PDF form to your AP Recruit application. Reference requirements UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy, • APM - 035: Affirmative Action and Nondiscrimination in Employment San Francisco Bay Area, California, U.S.A.

• Implementation of consulting projects on accounting and back-office issues in fast-growing companies, • Operational accounting, preparatory accounting as well as interim management, e.g. as accountant, • Execution of monthly closings and management of accounts receivable and accounts payable, • Development and implementation of best-in-class accounting and document management tools, • Execution of accounting tasks as well as posting of accounting issues, e.g. accruals, personnel costs, bank clarification, open items, posting of incoming and outgoing documents, • Review and optimization of interfaces to tax advisors and banks, • A degree or training in economics, finance, mathematics or similar is a nice to have, not a must have, • Additional qualifications, e.g. completed training in balance sheet accounting, • You have relevant professional experience, e.g. as team lead accounting, preferably in a start-up or consulting environment, • You have experience in process automation and digitization and are familiar with various finance and accounting tools, • You are very good in Excel and/or Google Sheets, • You can lead and manage teams (approx. 2 FTE), as well as be responsible for simple projects independently, • You have very good accounting skills and very good knowledge in at least one accounting system, e.g. DATEV, • You have experience in other special accounting topics, such as OSS, intercompany accounting, IFRS, Payroll, additional software systems such as Lucanet., • You have first experience as an interface to different stakeholders, e.g. handling tax consultancies, tax office and auditors, • You have good communication skills in German (approx. C1) and English (min. A2), • You have experience and/or desire for varied project-related work, • An attractive compensation package as well as a varied job with many opportunities to shape the company and a high degree of personal responsibility., • Free choice of your working hours. It's the results that count., • Work completely remote or from our office in Bochum - you decide!, • Company events and regular team events (offline, e.g. Mallorca, and online), • Payment of all costs for trainings and events, • Provision of the hardware you need (Mac, Windows), • Open feedback culture with regular 1:1 meetings and development discussions, • Work in an open-minded, cooperative, dynamic and international team, • The opportunity to play a leading and entrepreneurial role in the exciting phase of building the fastest growing boutique in Germany.

Open date: July 7, 2025 Most recent review date: Tuesday, Jul 22, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Jan 7, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Assistant/Associate/Full Specialist in Brain Imaging and Network Neuroscience Study brain network mechanisms of chronic pain and pain relief from neuromodulation Job Summary We are seeking a brain imaging researcher and data analyst to join a multidisciplinary lab focused on understanding the brain network mechanisms underlying chronic pain and therapeutic relief through brain stimulation. The ideal candidate will have training and experience in the analysis of human brain imaging data, including functional MRI (fMRI) and diffusion tensor imaging (DTI), and a strong interest in translational neuroscience. Our research aims to identify reproducible brain network signatures of chronic pain and to understand how these networks change in response to therapeutic neuromodulatory interventions such as transcranial magnetic stimulation (TMS). Successful candidates should be scientifically motivated self-starters, comfortable working in a highly productive academic environment, and keen on applying cutting edge network neuroscience concepts to clinical brain imaging data. Working closely with a collaborative team of clinicians and neuroscientists, the candidate will be involved in the acquisition, preprocessing, and analysis of high resolution structural and functional brain imaging data from patients with chronic pain. We are particularly interested in candidates seeking to apply advanced network neuroscience concepts (e.g., precision functional mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems neuroscience, pain medicine, and clinical neuroimaging. Successful candidates will interface with a large group of researchers applying neuromodulation (e.g., TMS, deep brain stimulation, focused ultrasound) and advanced imaging methods across neuropsychiatric disorders. The appointment will be with the Motzkin Lab, which is part of the Department of Neurology at UCSF. Required Qualifications: • Assistant Specialist: Master's degree or a baccalaureate degree in Neuroscience, Bioengineering, Computational Biology, Mathematics, Statistics, Psychology, or a related field with three or more years of research experience., • Associate Specialist: Master's degree (or equivalent degree) in one of the above disciplines or five to ten years of relevant experience., • Full Specialist: Terminal degree (or equivalent) in one of the above disciplines or ten or more years of relevant experience., • Proficiency in conventional MRI processing and analysis tools, including fMRIPrep, QSIPrep, AFNI, FSL, and/or SPM., • Strong programming skills in Python, Unix/Linux shell scripting, MATLAB and/or R., • Demonstrated experience conducting and managing neuroimaging analysis pipelines, including quality assurance and batch processing of datasets., • MS or PhD in a relevant field, • Experience with network neuroscience, graph theory, or connectomics, • Familiarity with high-performance computing environments For other inquiries, please contact: See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$194,800. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter - letter of interest * Statement of Research (Optional) * Statement of Teaching (Optional) Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Math Instructor / Teacher (K–8 After-School Enrichment) San Francisco Bay Area San Francisco (near Muni & BART), Pacifica, San Mateo, Oakland, Menlo Park, Palo Alto, Sunnyvale, Hayward, San Jose, Marin. Part-Time | In-Person | Weekday Afternoons (3–6 PM) Why You’ll Love Teaching With Us • Safe, supportive classrooms on school campuses, DLC’s own center, or community centers, • Paid training, on-the-job coaching, & ready-to-use curriculum, books & teaching supplies—we’ve got your back, • Flexible part-time schedule (weekday afternoons + optional weekends), • Casual, relaxed, inclusive work environment, • Opportunities to grow with a fast-expanding education company, • Make a real impact on students’ confidence, skills, and love of learning What You’ll Do as a Math Instructor / Teacher • Teach engaging K–12 math classes using our enrichment-focused curriculum, • Lead small, interactive groups that encourage problem-solving and curiosity, • Create a positive, inclusive, and student-centered learning environment, • Review homework, assess progress, and personalize instruction, • Share lesson recaps and homework with parents, • Track and report student progress each semester, • Communicate clearly with families and offer make-up sessions when needed, • Mentor students to think logically, ask great questions, and enjoy math Who We’re Looking For • Strong math background (Bachelor’s in math, science, engineering, or related field preferred), • Talented undergraduates majoring in math or related fields welcome to apply, • Experience teaching or tutoring elementary or middle school students strongly preferred, • Experience with math enrichment programs or competitions is a big plus, • Confident communicator with strong classroom presence, • Passion for helping students grow academically and emotionally Schedule Snapshot • Teach 1–2.5 hours per day (most commonly 1.5+ hours) on mutually agreed weekdays, • Classes run between 3–6 PM on weekdays, • Our teachers usually teach 2-10 hours per week, over 1-5 days per week, based on your availability, student needs, and tenure with us Example schedule: Mondays, Tuesdays & Thursdays 3:30–5:00 PM Ready to Inspire Young Mathematicians? Whether you’re an experienced educator or an aspiring instructor who loves mentoring kids, we’d love to meet you. Apply today and help shape the next generation of confident, curious problem-solvers—one math class at a time! Job Types: Part-time, Contract

Core Qualifications - 3+ years of research, academic, or industry experience in Machine Learning, or Data Science, or Software Engineering, or Computer Science, or Statistics, or Biology, or Electrical/Mechanical/Civil Engineering, or Physics, or Chemistry, or Mathematics, or Materials Science, or o

Under the direction of an Advising Unit Coordinator and as part of the College of Natural and Agricultural Sciences Undergraduate Academic Advising Center (CNAS UAAC), this position will be responsible for academic advising of undergraduate students in the Life Science majors (Biochemistry, Biological Sciences, Biology, Plant Biology, Neuroscience, Cell, Molecular, and Developmental Biology, Entomology, and Microbiology) or Physical Science (Mathematics, Statistics, Chemistry, Earth Sciences, Environmental Sciences, Physics) majors using the principles of developmental, academic advising and knowledge of teaching and learning theory working to promote student development and academic success. The primary areas of responsibility include: advisement of potential and enrolled students; monitoring of each student's progress toward degree completion; informing students, academic advisors, faculty and staff members of the policies and procedures pertaining to undergraduate student affairs; referring students to appropriate support services; analyzing academic trends and working with other professional academic advisors and departments to meet student advising needs. Participates in the preparation and/or maintenance of descriptive materials for majors. Responsible for preparation and submission of catalog copy and quarterly Schedule of Classes. Facilitates processes for undergraduate course revision and program changes. Responsible for representing the CNAS UAAC at outreach and retention activities, including recruitment, orientation, and advising events, including, but not limited to, Highlander Orientation, Academic Success Workshops, Discover/Welcome Days, and college fairs. The resulting distribution of job functions is approximately 80% academic advising (administration of enrolled student majors), 15% academic advising support, and 5% other duties as assigned. The full salary range for the Student Academic Advisor 2 is $24.71 - $41.67 per hour. However, the expected pay scale for this position is $24.71 - $28.01 per hour. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs. Applicants must have current work authorization when accepting a UCR staff position. Currently, we are unable to sponsor or take over sponsorship of an employment Visa for staff. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The Research Tools Technical Lead serves as the principal technical leader and application expert for tools overseen by the Research Tools team, including (but not limited to) UCSF's REDCap (Research Electronic Data Capture) research data management platform, while also providing enterprise-level IT architecture leadership across multiple technical initiatives. This role combines deep technical expertise in research informatics with strategic architecture capabilities, automation implementation, and technical project leadership. This position operates at the intersection of research support, infrastructure automation, and technical innovation-serving as both the lead administrator for critical research data systems and a staff-level technical leader for cross-functional projects requiring advanced architectural guidance. This role will use AI/LLM driven technologies to accelerate development when possible and sensible, and may deploy or build new AI technologies as part of the growing Research IT footprint in this area. % of time Essential Function (Yes/No) Key Responsibilities (To be completed by Supervisor) 40 • Serve as lead and driver for platform availability, data integrity, security compliance, and optimal performance of the UCSF REDCap instances across 24/7 research operations, • Design, implement, and maintain REDCap infrastructure including server architecture, database optimization, module management, API integrations, and additional module deployment and risk analysis, • Perform system upgrades, patch management, capacity planning, backup/recovery procedures, and disaster recovery testing in coordination with infrastructure teams, • Establish and enforce governance policies for user access, project approval workflows, data retention, compliance auditing (eg HIPAA, 21 CFR Part 11, FISMA, GDPR), and institutional security requirements, • Provide advanced technical support for complex REDCap projects including custom data collection instruments, branching logic, calculated fields, survey distribution, data quality modules, and external system integrations, • Develop and maintain comprehensive documentation for system configurations, standard operating procedures, troubleshooting guides, and best practices, • Monitor system metrics including usage patterns, performance statistics, storage utilization, and user adoption trends; generate regular reports for stakeholders, • Coordinate with REDCap Consortium resources including Community forums, weekly webinars, and annual conferences to stay current with platform capabilities and emerging features 25 • Lead planning and implementation of highly complex technology projects that integrate Research IT systems with enterprise IT and departmental/project-specific research systems, potentially including electronic health records (EHR), clinical trial management systems (CTMS), biospecimen tracking, LIMS, and data warehouses. Projects may include building interconnections of existing systems to accommodate business use cases, as well as the creation or adoption of new systems to add new capabilities to Research IT overall., • Architect automation frameworks using industry-standard tools including (but not limited to) Rundeck (runbook automation), ServiceNow (ITSM integration), and policy engines, and other devops tooling (Github, SonarQube, etc) to streamline operational workflows and reduce manual processes, • Develop technical roadmaps that align REDCap and other research tooling capabilities with institutional research priorities, emerging technologies, regulatory requirements, and long-term strategic goals, • Evaluate and prototype emerging technologies in research informatics, data capture methodologies, API integration patterns, containerization strategies, and cloud deployment models, • Establish architectural standards and technical patterns for research data systems including API design, authentication/authorization frameworks, data exchange protocols, and security architectures, • Collaborate with enterprise architects, security architects, and infrastructure teams to ensure REDCap and related systems align with campus-wide technical standards and compliance requirements, • Conduct feasibility analyses for proposed technical initiatives including cost-benefit assessments, risk evaluations, resource requirements, and implementation timelines 20 • Serve as technical lead for complex, cross-functional projects requiring deep technical expertise, strategic thinking, and coordination across multiple teams and leadership, • Provide staff-level engineering leadership including technical direction setting, architectural decision-making, code/design reviews, and technical mentorship to project teams, • Act as the technical liaison between engineering teams and executive leadership, translating business requirements into technical specifications and communicating technical constraints to non-technical stakeholders, • Lead technical strategy discussions for projects involving data integration, system migrations, security enhancements, compliance initiatives, and infrastructure modernization, • Resolve technical disputes and architectural disagreements through expertise-driven consensus building, prototyping, proof-of-concept development, and objective evaluation, • Design and document technical solutions for high-impact initiatives including system architectures, data models, integration patterns, security controls, and operational procedures, • Coordinate with product managers, research operations teams, compliance officers, and clinical stakeholders to ensure technical solutions meet functional requirements and regulatory obligations, • Establish technical best practices, coding standards, documentation requirements, and quality assurance processes for research informatics projects 10 • Design and implement automation solutions using Rundeck for operational runbook automation including incident response procedures, change management workflows, provisioning tasks, and diagnostic automation, • Develop ServiceNow integrations enabling self-service capabilities, automated ticket workflows, change request automation, and bi-directional communication between ITSM and technical systems, • Implement policy-based automation using RBAC (Role-Based Access Control) and ABAC (Attribute-Based Access Control) engines to automate access provisioning, compliance checking, and security policy enforcement, • Create webhook-based automation triggers connecting ServiceNow incidents/changes to Rundeck job executions for automated remediation, diagnostic data collection, and system health checks, • Develop scripted automation for REDCap administrative tasks including user provisioning, project template deployment, audit report generation, and data quality monitoring, • Establish CI/CD pipelines for REDCap module deployments, configuration management, and infrastructure-as-code practices using tools such as GitHub Actions, Ansible, or similar platforms, • Build monitoring and alerting automation using tools like InfluxDB, Grafana, Prometheus, or similar platforms to proactively identify system issues and performance degradation 5 • Provide specialized consulting services to research teams, departments, or external collaborators requiring advanced REDCap expertise, custom development, or complex data architecture, • Support billable project engagements including study design consultation, custom instrument development, data migration services, and specialized training programs, • Develop project proposals, effort estimates, and technical specifications for consulting engagements requiring advanced technical capabilities, • Collaborate with research administrators and financial teams to track billable hours, deliverable completion, and project milestones for funded consulting work, • Maintain documentation and knowledge transfer materials for consulting engagements to support ongoing client relationships and institutional knowledge retention 0% (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) Academic Research Services (ARS) serves the needs of the UCSF research community by providing an integrated repository of HIPAA compliant clinical and life sciences data and a centralized, secure, professionally managed infrastructure for the storage and management of research data. ARS empowers medical scientific investigations by offering secure computing environments, data capture, management and analysis tools, and support services that meet researcher's needs. This position is part of the ARS Research Tools group, which has a history of successfully deploying technology to enable cutting-edge work by researchers across many domains by providing quality solutions that leverage our affinity for our customers alongside first-in-class design patterns and modern tooling. Our team members have opportunities to provide direct impact for real-world efforts across the basic sciences, socio-behavioral studies, epidemiology, and public and global health initiatives. Key responsibilities include, but are not limited to: Technical leadership Lead planning and implementation of highly complex technology projects that integrate Research IT systems with enterprise IT and departmental/project-specific research systems, potentially including electronic health records (EHR), clinical trial management systems (CTMS), biospecimen tracking, LIMS, and data warehouses. Projects may include building interconnections of existing systems to accommodate business use cases, as well as the creation or adoption of new systems to add new capabilities to Research IT overall. Serve as technical lead for complex, cross-functional projects requiring deep technical expertise, strategic thinking, and coordination across multiple teams and leadership • Provide staff-level engineering leadership including technical direction setting, architectural decision-making, code/design reviews, and technical mentorship to project teams, • Architect automation frameworks using industry-standard tools including (but not limited to) Rundeck (runbook automation), ServiceNow (ITSM integration), and policy engines, and other devops tooling (Github, SonarQube, etc) to streamline operational workflows and reduce manual processes, • Develop technical roadmaps that align REDCap and other research tooling capabilities with institutional research priorities, emerging technologies, regulatory requirements, and long-term strategic goals, • Evaluate and prototype emerging technologies (including AI) in research informatics, data capture methodologies, API integration patterns, containerization strategies, and cloud deployment models Establish architectural standards and technical patterns for research data systems including API design, authentication/authorization frameworks, data exchange protocols, and security architectures REDCap operations Serve as lead and driver for platform availability, data integrity, security compliance, and optimal performance of the UCSF REDCap instances across 24/7 research operations. • Design, implement, and maintain REDCap infrastructure including server architecture, database optimization, module management, API integrations, and additional module deployment and risk analysis, • Develop and maintain comprehensive documentation for system configurations, standard operating procedures, troubleshooting guides, and best practices, • Develop and maintain comprehensive documentation for system configurations, standard operating procedures, troubleshooting guides, and best practices Provide specialized consulting services to research teams, departments, or external collaborators requiring advanced REDCap expertise, custom development, or complex data architecture Site reliability engineering Design and implement automation solutions for operational runbook automation including incident response procedures, change management workflows, provisioning tasks, and diagnostic automation. For example: • Establish CI/CD pipelines for REDCap module deployments, configuration management, and infrastructure-as-code practices using tools such as GitHub Actions, Ansible, or similar platforms, • Build monitoring and alerting automation using tools like InfluxDB, Grafana, Prometheus, or similar platforms to proactively identify system issues and performance degradation, • Use APM or other application monitoring tools to tune php-fpm, nginx, and other web server tools to support stability and observability of a pseudo-clustered, monolithic application. Our team is distributed across the United States, and strives to protect a workplace with a strong focus on work/life balance. We work hard to appreciate the diverse backgrounds and life experiences of each of our team members. Our team culture includes an understanding that there can be many pathways for all of our journeys; in support of this we encourage applications from folks with a rich and varied background, including those re-entering the workforce. KNOWLEDGE, SKILLS, AND ABILITIES Required • 4 or more years experience using modern devops tools for security scanning, CI/CD, and controlled code release practices, • 4 or more years experience managing code versioning and development workflows with a modern source control system such as Github; working knowledge of production system change control processes., • Demonstrated experience owning and driving sophisticated technical projects in a complex organization or operating environment., • Demonstrated knowledge of and at least 4 years of professional experience using modern data science and data engineering orientated high level programming languages, including SQL and at least one of Python, Julia, PHP, and/or Node.js., • Demonstrated ability to effectively communicate with end users and diverse stakeholders in appropriately technical and non-technical terms, • Experience writing and executing application test plans or utilizing test-driven design practices., • Experience managing documentation with Wikis, markdown, and/or document assemblers such as MkDocs., • Demonstrated experience responding to highly visible security issues associated with an application Preferred • Demonstrated ability to interconnect existing open source or commercial software libraries using standardized API-driven processes, • Demonstrated knowledge administering infrastructure and/or application stacks using Linux (specifically RHEL and/or Ubuntu) and MySQL or MySQL variants (especially MariaDB)., • Proven experience deploying tools or solutions leveraging foundational modern engineering tooling (for example, building or architecting a full-stack clustered/containered application or redeploying a monolithic application into a scalable architecture)., • Experience delivering platform-quality tools or experiences to a user community, preferably composed of researchers and/or developers., • Working knowledge of microservice or service mesh technologies, • At least 4 years experience working with open source libraries as a contributor and/or community leader., • Demonstrated ability to harden open source tools to be deployed in a secure environment, preferably one with specific compliance mandates This position will sit on one of the areas in UCSF's Research IT apparatus responsible for evaluating, building, and deploying AI tools for the research community. As a result, there may be additional preferred knowledge, skills, or abilities, associated with AI technologies and engineering that will change rapidly over time. This position will work to stabilize and fully operationalize a PHP based application which leverages php-fpm and requires substantial tuning; as a result, experience with php-fpm, APM (or other php-specific application monitoring), and monitoring tools (e.g. ELK, DataDog) is preferred. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as ___. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available ___. Join us to find a rewarding career contributing to improving healthcare worldwide. Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Salary Information The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. To learn more about the benefits of working at UCSF, including total compensation, please visit: ___ Our team is distributed across the United States, and strives to protect a workplace with a strong focus on work/life balance. We work hard to appreciate the diverse backgrounds and life experiences of each of our team members. Our team culture includes an understanding that there can be many pathways for all of our journeys; in support of this we encourage applications from folks with a rich and varied background, including those re-entering the workforce. KNOWLEDGE, SKILLS, AND ABILITIES Required • 4 or more years experience using modern devops tools for security scanning, CI/CD, and controlled code release practices, • 4 or more years experience managing code versioning and development workflows with a modern source control system such as Github; working knowledge of production system change control processes., • Demonstrated experience owning and driving sophisticated technical projects in a complex organization or operating environment., • Demonstrated knowledge of and at least 4 years of professional experience using modern data science and data engineering orientated high level programming languages, including SQL and at least one of Python, Julia, PHP, and/or Node.js., • Demonstrated ability to effectively communicate with end users and diverse stakeholders in appropriately technical and non-technical terms, • Experience writing and executing application test plans or utilizing test-driven design practices., • Experience managing documentation with Wikis, markdown, and/or document assemblers such as MkDocs., • Demonstrated experience responding to highly visible security issues associated with an application Preferred • Demonstrated ability to interconnect existing open source or commercial software libraries using standardized API-driven processes, • Demonstrated knowledge administering infrastructure and/or application stacks using Linux (specifically RHEL and/or Ubuntu) and MySQL or MySQL variants (especially MariaDB)., • Proven experience deploying tools or solutions leveraging foundational modern engineering tooling (for example, building or architecting a full-stack clustered/containered application or redeploying a monolithic application into a scalable architecture)., • Experience delivering platform-quality tools or experiences to a user community, preferably composed of researchers and/or developers., • Working knowledge of microservice or service mesh technologies, • At least 4 years experience working with open source libraries as a contributor and/or community leader., • Demonstrated ability to harden open source tools to be deployed in a secure environment, preferably one with specific compliance mandates This position will sit on one of the areas in UCSF's Research IT apparatus responsible for evaluating, building, and deploying AI tools for the research community. As a result, there may be additional preferred knowledge, skills, or abilities, associated with AI technologies and engineering that will change rapidly over time. This position will work to stabilize and fully operationalize a PHP based application which leverages php-fpm and requires substantial tuning; as a result, experience with php-fpm, APM (or other php-specific application monitoring), and monitoring tools (e.g. ELK, DataDog) is preferred.

Position title: Part-Time Instructor, Education Salary range: a reasonable range for this position is: credit-bearing courses: $1,500 to $5,000 per section non-credit: 10-30% of enrollment fee per enrollment Anticipated start: January 2026 Position duration: Intermittent: Beginning January 2026 through December 2026 Open date: December 2, 2025 Most recent review date: Tuesday, Dec 16, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Dec 3, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. UC Merced Professional & Continuing Education is seeking experienced and qualified candidates to provide instruction in closely related fields of Education. Courses may be offered in academic credit and non-credit options. Sample courses: • CalTPA 1 Support for Multiple and Single Subject Candidates, • CalTPA 2 Support for Multiple and Single Subject Candidates, • GMAT Study Guide & Test Prep, • LSAT Study Guide & Test Prep, • MCAT Study Guide & Test Prep, • Single Subject Methods: English Language Arts, • Single Subject Methods: History & Social Sciences, • Single Subject Methods: Mathematics, • Single Subject Methods: Science, • Teacher Exam Preparation Bootcamp For a full list of active courses being offered in Education, please visit: In addition to teaching the course(s), the instructor is responsible for creating a syllabus, holding weekly office hours (2 hours/week), and grading examinations and/or papers. UC Merced Professional & Continuing Education anticipates hiring multiple part-time instructors for the courses listed above throughout the year based on the course sections scheduled and/or planned. Part-Time UNEX Instructors are hired on an as need basis with a start date within one year from this job posting. Hired instructors may remain eligible to teach for up to 5 years on an intermittent basis. About UC Merced PACE: UC Merced Professional and Continuing Education (PACE) offers access to the university's academic courses through Open University and provides professional courses in a variety of industry fields (education, business, technology, renewable energy, healthcare, etc.). UC Merced PACE partners with regional community initiatives and organizations to boost economic and social development with a focus on delivering courses in convenient and flexible formats, including fully online, hybrid, in-person, and custom modalities. UC Merced PACE offers workforce-responsive, non-degree credentials and credential pathways that provide opportunities to upskill and re-skill. We can develop and deliver skills-based, alternative credential programs that align with employer needs and high demand jobs. Alternative credentials are non-degree, professional credit, certificate, stackable, micro-credentials, bootcamps, etc. UC Merced PACE is growing exponentially including new certificates, courses, and other forms of microcredentials. In the last two years, the division has introduced over 60 new courses and 5 new programs. To learn more about PACE please visit: . Basic qualifications • A master's degree in relevant field of Education., • Minimum of 5 years of professional experience in the closely related field or publish research in the closely related field, • Demonstrated theoretical and practical knowledge in the designated topic area Preferred qualifications, • Experience teaching or providing professional development in the closely related field Document requirements Curriculum Vitae - Your most recently updated C.V. * Cover Letter * Authorization to Release Information Form - As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. Required Authorization of Information Release may be found here. Please complete, sign, and upload the required Authorization of Information Release to your application. * Statement of Teaching Reference requirements As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. Please complete, sign, and upload the required Authorization of Information Release to your application: Required Authorization of Information Release Form. Candidates must possess valid authorization to work in the United States. UC Merced is not currently able to sponsor individuals residing outside the United States who would require a new H-1B visa for employment. Applicants who do not hold valid U.S. work authorization are presently ineligible for this position. Additional links: UC Sexual Violence and Sexual Harassment Policy, the UC Anti-Discrimination Policy, and APM 035: Affirmative Action and Nondiscrimination in Employment. The University of California, Merced, is the newest of the University of California system's 10 campuses. Ranked as one of the best public universities in the nation by U.S. News and World Report and recently designated as an R1 institution by Carnegie, UC Merced is committed to innovation and excellence in research. With over 9,000 undergraduate and graduate students (Center of Institutional Effectiveness), UC Merced provides outstanding, inclusive educational opportunities to highly qualified students from the heart of California, the nation, and abroad. The campus has special connections to nearby Yosemite National Park; is on the cutting edge of sustainability in construction and design; and supports the economic development of Central California. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. This includes the University of California Policy on Vaccination Programs. In-person, Hybrid, or Remote

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. FSO Assurance - Technology Risk (Senior) (Multiple Positions) (1691682), Ernst & Young U.S. LLP, San Francisco, CA. Perform IT-related external and internal audit and attestation procedures for private and public companies. Consistently apply professional standards, including PCAOB rules and regulations and AICPA attestation standards. Work on financial audit engagements to assess IT-related internal controls over financial statement reporting. Collect and analyze data to detect unmitigated risks, identify deficient controls, duplicated effort, or non-compliance with laws, regulations, and management policies. Understand the client's industry and recognize key performance drivers, business trends, and emerging technology and industry developments. Stay informed of general business and economic developments and their effect on the client. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues. Demonstrate technical capabilities and knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Full time employment, Monday - Friday, 40 hours per week, 8:30 am - 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Business, Management, Engineering, Mathematics, Accounting, Finance, Computer Science, Information Systems, or a related field and 2 years of related experience working as an IT auditor or IT risk adviser for a public accounting firm, a professional services firm, or within industry. Alternatively, must have a Master's degree in Business, Management, Engineering, Mathematics, Accounting, Finance, Computer Science, Information Systems, or a related field, and 1 year of related experience working as an IT auditor or IT risk adviser for a public accounting firm, a professional services firm, or within industry. Of the required experience, must have 1 year of experience in a supervisory capacity focused on financial audit IT in public company audits. Must have 1 year of experience supervising audit professionals performing the IT portion of the audit (IT general controls, ERP, application knowledge, system implementation, audit knowledge, and similar). Must have 1 year of experience supervising the integration with the financial audit team on application controls, IPE, and IT dependent manual controls. Requires travel up to 50%, of which 15% may be international, to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search", "See All", then "Experienced Professionals" (Job Number - 1691682). What we offer We offer a comprehensive compensation and bene?ts package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $141,378.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our ?exible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, ?nancial, and emotional well-being. • Continuous learning: You'll develop the mindset and skills to navigate whatever comes next., • Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way., • Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs., • Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at . This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) Join Our Innovative Team at Stanford Health Care! Position: Certified Medical Dosimetrist (CMD) Location - East Bay: Berkley, Oakland, Emeryville Employment Type: Hybrid (Full-Time) - Primary schedule onsite. Stanford Health Care (SHC) is excited to announce Certified Medical Dosimetrists openings to join our dynamic and growing team! If you are passionate about advancing cancer care and possess experience in Proton therapy or any of the procedures below, we want to hear from you! Why Stanford Health Care? What we offer -- * Collaborative Environment: Work alongside a dedicated team of Dosimetrists, Physicists, and IT professionals who are committed to innovation and excellence in patient care. * Skill Development: Expand your expertise in a variety of advanced treatment modalities and contribute to pioneering solutions that shape the future of oncology. * Hybrid Work Model: Enjoy the flexibility of a hybrid work environment, allowing you to balance your professional and personal life effectively. At SHC, our team of 14 skilled Dosimetrists operates across four network locations in the Bay Area, providing exceptional service across multiple lines of care, including but not limited to: * External Beam Therapy including special procedures (TBI, TLI, TSEI, etc.) * Linac SBRT/SRS * Cyberknife SBRT/SRS * MR-Linac Adaptive Services (ViewRay) * PET-Linac (RefleXion) * High Dose Rate Brachytherapy This is a Stanford Health Care job. A Brief Overview Under the general supervision of the Chief Dosimetrist, the Clinical Chief Physicist, and the Director-Radiation Oncology Operations, the Medical Dosimetrist develops optimal treatment plans for cancer patients that maximize the dose to the tumor while minimizing dose to normal organs under the direction of the radiation oncologist. Also provides support and assistance for other activities related to patient care, staff and student (radiology oncology residents) education. Dosimetrists are members of a radiation oncology treatment team that plays a key role in the management of cancer. They use their knowledge of mathematics, medical physics, science, and critical thinking to measure and generate radiation dose distributions and calculations for patients and are thoroughly familiar with the physical and geometric characteristics of the radiation equipment and radioactive sources commonly employed. Dosimetrists are responsible for designing a treatment plan and carrying out calculations with mathematical accuracy for the delivery of radiation treatment based on the radiation oncologist's prescribed course of radiation therapy. This treatment plan takes into consideration tumor pathology, tumor volume, and inherent dose-limiting structures surrounding the tumor. The treatment plan and radiation field-placement techniques are constructed utilizing sophisticated computer equipment and technology. The Dosimetrist, along with the Radiation Oncologist and Medical Physicist, will work to construct a treatment plan that will meet the prescription written by the oncologist, ensuring that the patient will not lose important healthy organ function and that the radiation delivered will not affect healthy surrounding tissue. These treatment plans not only include the use of radiation, but in many cases, involve the use of radioactive elements during interstitial brachytherapy procedures. Once the treatment plan is complete, the Dosimetrist will work closely with the radiation therapists in the implementation of the prescribed plan. The Dosimetrist also advises the radiation therapists during simulation and treatment on optimal patient immobilization and setup reproducibility as well as the correct use of devices and field arrangements. Level Descriptors ? Medical Dosimetrist This is the entry, developmental, and intermediate working level. ? Certified Medical Dosimetrist This is the fully qualified, full proficiency, and career level. Locations Stanford Health Care What you will do * Design an optimized patient treatment plan by means of computer and/or manual computation with optimal beam geometry to deliver a prescribed radiation dose and spare critical structures in accordance with the Radiation Oncologist's prescription. * Identify and contour normal and dose-limiting structures by utilizing images from one or more data sets. Assumes proficiency in image registration with various image data sets to include CT, MRI and PET. * Create and transfer reference images and localization markers for portal verification and treatment delivery to include DRRs, CBCTs and other IGRT methods, as specified. * Supervise, perform, or assist in simulations and tumor localization using specified imaging devices including, but not limited to CT, MRI, and PET. * Supervise, perform, or assist in the planning and implementation of the fabrication of compensation filters, custom shields, wedges, and other beam modifying devices. * Supervise, perform, or assist in the planning and implementation of the production of moulds, casts, and other immobilization devices. * Communicate with the radiation therapist(s) and assume an advisory role in the implementation of the treatment plan including: the correct use of immobilization devices, compensators, wedges, field arrangement, and other treatment or imaging parameters. * Perform calculations for the accurate delivery of the prescribed dose, document all pertinent information in the patient record, and verify the mathematical accuracy of all calculations by an approved method. * Provide assistance and technical support to the Medical Physicist, in radiation safety and protection, qualitative machine calibrations, quality assurance of treatment plans and radiation oncology equipment. * Operates and performs quality assurance, under the direction of the Chief Dosimetrist, on the treatment planning computer(s). * Supervise, perform, or assist in the application of specific methods of patient and/or beam dosimetry as directed by the Chief Dosimetrist. * Assist in brachytherapy procedures by performing treatment planning and dose calculations. May perform or assist in the receiving, loading, and shipping of radioactive materials. * Utilize radiation monitoring devices to measure radioactivity and perform assays. * Teach applied aspects of medical dosimetry to students, radiation therapists and residents. * May also be responsible for assisting or providing technical or physics support to the medical physicist. This responsibility may include (but is not limited to) assistance in radiation protection measures, equipment calibrations, and performance of radiation quality management and quality assurance practices. * Participate in clinical research. * Participate in continuing education. * Participate in quality improvement processes. * Performs other related and incidental duties as needed or assigned. Education Qualifications Met by being employed in the classification of Senior Dosimetrist (job title discontinued) with Stanford Health Care as of 08/31/14. or * Possesses any combination of education, training, and experience that demonstrates to the satisfaction of the Chief Dosimetrist and Director of Radiation Oncology that he/she meets the specific eligibility criteria of the Medical Dosimetrist Certification Board () currently in effect to sit for the (CMD) certification examination within two (2) years of appointment. Required Knowledge, Skills and Abilities * Knowledge of anatomy, physiology, clinical oncology, tumor pathology, radiobiology, radiation physics, and radiation safety. * Knowledge of medical dosimetry techniques and procedures * Knowledge of the technical aspects of radiation oncology and medical physics and ability to develop optimal treatment plans and communicate these aspects to the Radiation Oncologist for plan approval and to the Radiation Therapist for plan implementation. * Knowledge of healthcare informatics-including the resources, devices and methods to acquire, store and retrieve data. * Knowledge of and proficiency in the use of personal computers and business software applications, including those used to develop treatment plans. * Possess good communication and interpersonal skills to facilitate the exchange of information with patients, family members, and the radiation oncology treatment team as well as outside entities. * Possess high level critical thinking and problem solving skills. * Ability to operate and perform quality assurance on the treatment planning systems. * Ability to work independently, with minimal supervision, consulting with the Radiation Oncologist and Medical Physicist as needed/required. * Knowledge of radiation safety principles and practices as well as current rules and regulations of the Nuclear Regulatory Commission and other regulatory agencies. * Ability to interpret criteria and develop treatment plans as defined by relevant treatment protocols. * Possess mathematical skills, including algebra, trigonometry, and introductory calculus. * Ability to visualize objects in three-dimensional concepts to facilitate the treatment planning process. Licenses and Certifications SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: * Know Me: Anticipate my needs and status to deliver effective care * Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health * Coordinate for Me: Own the complexity of my care through coordination #LI-BS1 Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $79.21 - $104.97 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage. At Stanford Health Care, we seek to provide patients with the very best in diagnosis and treatment, with outstanding quality, compassion and coordination. With an unmatched track record of scientific discovery, technological innovation and translational medicine, Stanford Medicine physicians are pioneering leading edge therapies today that will change the way health care is delivered tomorrow. As part of our spirit of discovery, we also leverage our deep relationships with luminary Silicon Valley companies to develop new ways to deliver preeminent patient care. Learn about our awards () and significant events () .

• Role: Engagement Manager – Credit Strategy, • Location: San Francisco, CA (Hybrid - min 3 days/week in office) As the Engagement Manager – Credit Strategy, you will design, deploy, and optimize end-to-end credit strategies that balance growth, profitability, and credit risk for a small-business lending portfolio. You will develop policy frameworks for approvals, segmentation, limits, and pricing; embed forward-looking risk signals; and build monitoring to keep portfolio performance within loss tolerances. You will partner with client and internal leaders across Risk, Product, Engineering, and Underwriting to operationalize decisioning, enable rapid experimentation, and create resilient portfolios that are attractive to debt investors on a risk-adjusted basis. • Design and deploy innovative approval, qualification, and segmentation strategies that maximize application approval rates while achieving credit loss targets, • Develop and maintain underwriting policies that define minimum acceptance criteria and policy declines for segments outside client's risk appetite, • Create statistically grounded credit limit assignment frameworks that optimize lifetime customer value while managing downside risk, • Design pricing and interest rate strategies, including testing frameworks, to ensure adequate loss coverage, strong borrower selection, and high customer take-up rates, • Optimize data collection strategies by balancing the information value of data against customer friction and operational cost, • Partner closely with the manual underwriting team to build a hybrid risk framework that integrates analytical strategies with expert manual review, ensuring consistent execution and continuous feedback loops. This would require innovative credit strategy tooling to create differentiated credit pathways for applications based on their profile, loan amount exposure and complexity of underwriting required, • Collaborate with Product, Engineering, and Data Science teams to design and deploy scalable infrastructure that enables rapid iteration and refinement of credit strategies, • Establish robust portfolio monitoring and reporting processes to track approval rates, credit performance, and risk metrics against expectations, • Apply a thoughtful, forward-looking approach to portfolio construction to ensure assets are resilient across economic cycles and attractive to debt investors on a risk-adjusted basis, • Incorporate macroeconomic trends and forward-looking risk signals into credit strategy to ensure ongoing relevance in evolving market conditions Candidate Profile: • 7+ years of hands-on experience designing, calibrating, and managing credit strategies for cash advance / short-duration small business credit products; prior MCA credit strategy experience, • Strong experience overseeing model deployment, execution, and monitoring within a production environment; ML Ops experience is highly preferred, • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline, • Strong SQL and Python proficiency; ability to work with large datasets and build reproducible analytical workflows., • Excellent communication, presentation, and story-building skills in a consulting/client-facing setup., • Demonstrated ability to lead cross-functional initiatives end-to-end and coordinate with offshore delivery teams., • Bachelor's degree in a related quantitative field such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required., • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline is a plus

About the SchoolSince 2011, Brightworks has redefined education by saying, Yes to student inquiry and ambition, whether its launching weather balloons or building sail cars. We view children as instinctual learners and act as partners, rather than just instructors, in each childs educational journey. By prioritizing student agency, we empower our community members to explore bold ideas and bridge the gap between the classroom and the world. At Brightworks, we dont just belong in our community; we work together to strengthen it. The RoleBrightworks is seeking experienced candidates for the teaching position of Upper School Math Collaborator. As Upper School Math Collaborator, you are the architect of the students mathematical experience. You will be responsible for working with fellow educators and students to design and implement a holistic interdisciplinary math curriculum. Candidates will have a deep familiarity with, or a strong desire to master, inquiry-based frameworks like Dan Meyers Three Act Math, Jo Boalers You Cubed, and Desmoss Middle School Curriculum. Status: Full Time, ExemptYour responsibilities include:Curriculum Co-Creation: Designing interdisciplinary, real-world projects based on student interests.Accountability & Mentorship: Guiding students while setting high standards for independent study and pacing complex projects.Narrative Assessment: Documenting the learning journey through weekly parent communications and student-led portfolios.Equity in Action: Engaging in deep work on power and privilege to maintain an anti-racist, equitable, gender-inclusive, neurodiversity-safe, and radically welcoming environment.Develop Multi-Modal Approaches: Ability to share mathematical learning and build fluency with different learning styles.Who You AreExperienced Educator: You have Experience teaching math to students in grades 7-12, a background in progressive, inquiry-based education, and a deep respect for student agency.Professional Communicator: You bridge the gap between "candid" and "kind," writing compelling narratives of student growth.Flexible Adapter: You can find different approaches for different learners, never offering a one-size-fits-all lesson. Project Manager: You have a strong work ethic and the ability to help students navigate uncertainty to reach concrete goals.Social Justice Advocate: You actively leverage conversations about identity to build equitable spaces.Lifelong Learner: You possess high EQ, a growth mindset, and a spirit of mutual aid.Reflective & Adaptive: You possess a high degree of self-awareness, regularly seeking feedback and pivoting your approach as student needs or project directions evolve.Employment RequirementsRequiredExperience: 2-3 years working with school-aged children Experience with Dan Meyers Three Act Math, Jo Boalers You Cubed, and Desmoss Middle School CurriculumCompliance: Ability to pass background screening and compliance training, CPR/First Aid certification, pass TB testing, and provide 3 professional references from direct supervisors when requestedTech Literacy - Proficient in Google SuitePhysical Demands - Ability to lead students on off-site excursions around the city or via public transportation for off-site learning PreferredA background working with diverse learning stylesBonus points for ability and willingness to advise on lower school mathematics curriculum developmentCompensation and BenefitsBrightworks offers an experience-based salary ranging from $70,583.87 $110,775.36, alongside comprehensive medical, dental, and vision options. Employees receive life/disability insurance and a 4% retirement match with immediate vesting.How to ApplyPlease submit the following as PDF documents via our application portal.Cover Letter: Tell us where you learned about the open position, your journey, why Brightworks, and a recent project that excited you.Resume: Focused on relevant educational and professional experience.Writing Samples: Lesson plan for a project-based learning experience and a professional communication sample to a former parent or parents. (e.g., newsletters or family correspondence). recblid gejioa07p2wbsbhtverk6thj7n3g15

• Role: Engagement Manager – Credit Strategy, • Location: San Francisco, CA (Hybrid - min 3 days/week in office) As the Engagement Manager – Credit Strategy, you will design, deploy, and optimize end-to-end credit strategies that balance growth, profitability, and credit risk for a small-business lending portfolio. You will develop policy frameworks for approvals, segmentation, limits, and pricing; embed forward-looking risk signals; and build monitoring to keep portfolio performance within loss tolerances. You will partner with client and internal leaders across Risk, Product, Engineering, and Underwriting to operationalize decisioning, enable rapid experimentation, and create resilient portfolios that are attractive to debt investors on a risk-adjusted basis. • Design and deploy innovative approval, qualification, and segmentation strategies that maximize application approval rates while achieving credit loss targets, • Develop and maintain underwriting policies that define minimum acceptance criteria and policy declines for segments outside client's risk appetite, • Create statistically grounded credit limit assignment frameworks that optimize lifetime customer value while managing downside risk, • Design pricing and interest rate strategies, including testing frameworks, to ensure adequate loss coverage, strong borrower selection, and high customer take-up rates, • Optimize data collection strategies by balancing the information value of data against customer friction and operational cost, • Partner closely with the manual underwriting team to build a hybrid risk framework that integrates analytical strategies with expert manual review, ensuring consistent execution and continuous feedback loops. This would require innovative credit strategy tooling to create differentiated credit pathways for applications based on their profile, loan amount exposure and complexity of underwriting required, • Collaborate with Product, Engineering, and Data Science teams to design and deploy scalable infrastructure that enables rapid iteration and refinement of credit strategies, • Establish robust portfolio monitoring and reporting processes to track approval rates, credit performance, and risk metrics against expectations, • Apply a thoughtful, forward-looking approach to portfolio construction to ensure assets are resilient across economic cycles and attractive to debt investors on a risk-adjusted basis, • Incorporate macroeconomic trends and forward-looking risk signals into credit strategy to ensure ongoing relevance in evolving market conditions Candidate Profile: • 7+ years of hands-on experience designing, calibrating, and managing credit strategies for cash advance / short-duration small business credit products; prior MCA credit strategy experience, • Strong experience overseeing model deployment, execution, and monitoring within a production environment; ML Ops experience is highly preferred, • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline, • Strong SQL and Python proficiency; ability to work with large datasets and build reproducible analytical workflows., • Excellent communication, presentation, and story-building skills in a consulting/client-facing setup., • Demonstrated ability to lead cross-functional initiatives end-to-end and coordinate with offshore delivery teams., • Bachelor's degree in a related quantitative field such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required., • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline is a plus

May serve as an Advisory teacher to a grade level cohort of students, acting as the primary trusted adult and family liaison and supporting students in community building, character development, and academic progress monitoring. We seek teachers that are excited by the possibility of transforming th

We’re looking for a Data Science Manager to lead our growing AI product data science function. Computer Science, Mathematics, Physics, Data Science, etc. Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload.

Strong engineering background or degree, preferred in fields such as Physics, Mathematics, RF/Signals Engineering, Systems Engineering, Telecommunications Engineering, or Electrical Engineering. The Field Engineering Team is seeking an experienced engineer to join our team in the development and cus

Strong engineering background or degree, preferred in fields such as Physics, Mathematics, RF/Signals Engineering, Systems Engineering, Telecommunications Engineering, or Electrical Engineering. The Field Engineering Team is seeking an experienced engineer to join our team in the development and cus

Encourage curiosity, logical thinking, and confidence in mathematics. Mathematics, Engineering, Computer Science, Physics, Economics, or related fields.

Mathematics, Engineering, Computer Science, Physics, Economics, or related fields. Encourage curiosity, logical thinking, and confidence in mathematics.

Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in a related science (biomedical imaging, applied mathematics, engineering, computer science, etc. Li Lab - Junior/Assistant/Associate/Full Specialist. The Li Lab is seeking a Junior, Assistant, Assoc

Job Description TITLE: Senior Network/PC Analyst LOCATION: Oakland, CASystem Center Configuration Manager (SCCM)/Endpoint Manager)Windows Deployment Server (WDS)Wyse Management Suite Pro (WMS)SUMMARY: This is the lead and/or specialist level in the Network/PC Analyst series. Under general supervision, incumbents may serve in a lead capacity, responsible for assigning and reviewing the work of lower level staff, and/or may serve as specialists who work independently and deal with complex assignments; including but not limited to monitoring and identifying network issues; proposing fixes; installing patches and updates on networks, operating systems, servers and related hardware; administering user accounts, groups, and permissions and backing up and restoring network configurations and computer data.EXAMPLE OF DUTIES: • Monitors, investigates, troubleshoots, and resolves issues with network equipment, servers, workstations, and related equipment., • Confers with end-users to troubleshoot and resolve user problems and identify user needs., • Writes system and user documentation., • Installs, configures and tests applications, upgrades, and hardware (servers, workstations, etc.)., • Prepares schedules and timetables for projects and systems maintenance., • Prepares and/or reviews specifications, evaluates equipment and applications, and recommends implementation of new or upgraded software and hardware., • Analyzes network performance and recommends performance improvements, • Patches network connections and performs basic switch and router configurations., • Creates and administers Network Operating System user accounts, groups, and permissions., • Performs periodic systems maintenance on computer and network equipment., • Provides lead direction to lower-level staff by providing guidance on technical and procedural issues and assigning and reviewing work assignments., • Performs related duties as required.MINIMUM QUALIFICATIONS:, • Education/Training: Equivalent to an associate degree from an accredited college or university with a major in Computer Science, Mathematics, or a related field., • Experience: Four (4) years’ experience installing, maintaining, and troubleshooting issues with computer hardware and software, two (2) years of which involved performing a variety of tasks in support of a network using Microsoft Windows workstations or two (2) years of professional experience administering and monitoring computer/ network hardware and software.Knowledge Of:, • Principles and practices of computer networks, hardware, and/or software in client-server, Microsoft Windows Operating Systems, • Current operating platforms and related operating systems, • Systems design, set-up, connectivity, configuration, testing and troubleshooting procedures, • Scripting to automate routine tasks, • Security access proceduresAbility To:, • Maintain, troubleshoot, and resolve issues with networked systems, databases, PCs and telecommunications equipment, • Intune Device Management, • Develop and administer system security, • Review and analyze user requirements and specifications, • Write documentation, user information and training materials, • Install new hardware, programs, and upgrades, • Prepare time estimates for projects, • Research and make recommendations regarding implementation of new technologies and/or programs, • Supervise or provide work direction to assigned subordinate staff on a project of task basis, • Work flexible and non-standard hours as neededPHYSICAL REQUIREMENTS: (1) Must maintain the physical condition necessary to perform tasks in an office setting operating a personal computer, keyboards, and other peripheral equipment(2) must maintain mobility in order to safely drive a District vehicle to travel between District facilities; (3) must maintain the physical condition necessary to perform the following physical movements: frequently stand, walk, lift and transport light objects weighing up to fifteen lbs., push, bend, balance, kneel, crouch, access constricted spaces, and make fine motor movements with the hands, fingers, and arms; and occasionally lift and transport objects weighing up to fifty (50) lbs., pull, climb, crawl, twist, and reach.LICENSES/CERTIFICATIONS/SPECIAL REQUIREMENTS:, • License/Certification: Must possess and maintain a California Class C Driver License, and safe driving standards., • Special Requirements: Must be available for 24-hour on-call emergency assignments that may include weekends and must be willing to travel to any worksite.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Education Expert Type: Contract Compensation: $50/hour Location: Remote Role Responsibilities • Evaluate the accuracy and depth of AI-generated content in Mathematics to strengthen reasoning and rigor in model outputs., • Review complex mathematical content for alignment with domain principles and methodologies., • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance., • Develop evaluation rubrics and benchmarks for assessing AI-generated mathematical tasks and solutions., • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets. Must-Have • 5+ years of experience in Mathematics education or related field., • Proficiency in AI model evaluation and improvement., • Upload resume, • AI interview based on your resume

Job Description This role is not eligible for visa sponsorship. Krew is on a mission to transform credit-servicing with the industry’s most advanced AI credit-servicing agents. We are backed by Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua), and strategic angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures). We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain, the United Nations, UChicago, and Oxford engineers and researchers. Our omnichannel agents are supporting >100,000 consumers on their pathways to financial wellness. And we're just getting started - our goal is to resolve more than $1 trillion in outstanding consumer delinquencies worldwide with an empathetic, human-centric approach to financial wellness. Job Responsibilities: * Work alongside CxOs at leading NBFIs and FIs to deploy and integrate Krew's platform * Support with change management and PMO objectives * Develop software integrations with our partners * Ship user-facing features end-to-end (from data model to API to UI) * Collaborate closely with design, ops, and risk/compliance to ship safe, compliant features * Write tests, enforce code quality, and participate in design/review discussions * Help evolve our engineering standards and product development process Minimum Qualifications: * Internship or full-time work experience in full-stack or backend engineering * Internship or full-time work experience in investment banking or consulting * BA/BS or MA/MS in Computer Science, Physics, Mathematics, or another quantitative science * Experience with backend development (Python, Go) * Strong code quality habits (testing, reviews, docs) and a product mindset Preferred Qualifications: * Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory * Experience with LLM/AI-powered products, event-driven systems, or data pipelines * Experience at Palantir, tier-1 investment bank (Goldman Sachs, JP Morgan, or Morgan Stanley), or tier-1 consulting firm (McKinsey, BCG, or Bain) * Bonus points if you were an ex-founder Compensation Range: $150K - $250K

Job DescriptionDescription: About the Company Loop Neighborhood Market is based in Union City, Calif., with stores and stations across California. The company was founded in 1978 and develops real estate and owns and operates gas stations with convenience stores and car washes. Loop Neighborhood Market also has a wholesale division that delivers fuel to dealer locations in the market. Join Our Growing Team at Loop Neighborhood Market! Are you ready to be part of a dynamic, fast-growing organization that's reshaping the convenience store industry? Loop Neighborhood Market is an industry leader looking for passionate, customer-focused individuals to help us redefine the c-store experience. Our mission is simple: to offer high-quality, better-for-you products, paired with exceptional customer service, and create a fantastic experience from the moment you walk into our stores. If you're motivated by innovation and have a passion for delivering outstanding service, we'd love to have you on our team. Apply today and help us change the way people experience convenience! Position Summary: This position calls for people who are adept at both assisting customers and leading a diverse team of individuals. In the role of Team Leader, you'll be responsible for managing all aspects of the store's operation—a responsibility you'll prepare for through a training sequence that teaches you the company in-store retail information system, inventory management and ordering technology. You will be tasked with handling daily paperwork, troubleshooting car wash issues and other gas pump related issues. This leadership role will also include forecasting, ordering, stocking, and merchandising products, reconciling store paperwork, setting the tone for courteous customer service, and managing the store staff. We expect all of our Team Leaders to embody our Core Values: People, Teamwork, Communication, Training, Results Matter, Fun, Customer Centered and Safety. We all win as one. Living our brand is a critical component for all our roles. Below is a general outline of some of the roles and responsibilities expected of our Team Leaders (this list is not all inclusive): Primary Responsibilities: • Train and coach new staff, manage performance, and handle staffing needs, • Create schedules, track time, and ensure accurate store paperwork reconciliation, • Stock products, maintain store cleanliness, and manage product merchandising, • Forecast, order, and control inventory, with a focus on shrinkage control, • Track and manage operating expenses to ensure profitability, • Develop a sales-driven culture using data analysis, goal setting, and in-store operating profit management, • Ensure efficient, courteous customer service for customers, vendors, and staff, • Troubleshoot and resolve car wash and gas-related issues, • Maintain compliance with local, state, and federal regulations and budget requirements, • Maintain a clean, customer-friendly environment inside and outside the store, • High School Diploma or equivalent required, • Six to nine months’ experience as an assistant manager, manager, or an equivalent combination of education and experience, • Strong mathematics ability, • Strong written and oral communication skills, • Desire to be part of a performance-driven team, • Valid driver’s license and insurance, • Employees that are with us for 6 months to 3 years = 0.10 cents off a gallon of fuel, • Employees that are with us for 3 years to 5 years = 0.30 cents off a gallon of fuel, • Employees that are with us for 5+ years = 0.40 cents off a gallon of fuel The Team Leader position requires constant standing, bending and reaching with a moderate amount of manual dexterity. Frequent lifting of 1 to 5 pounds and occasional lifting of up to 40-50 pounds are required. Additional Requirements: • Must be 21+ years of age, • Must be able to work various shifts and days of the week depending on business needsRequirements:

Job Description SJND is always on the lookout for energetic and qualified teachers who would like to be in our Teacher eligibility pool for when positions become open. Courses to be taught are based on student interest and current faculty availability. Our Mission Nestled in a picturesque neighborhood residential community in Alameda, and minutes away from downtown Oakland, Saint Joseph Notre Dame High School (SJND), a Catholic parish high school, provides a dynamic and rigorous college preparatory education. Our faith-filled, diverse, and welcoming community embraces the teachings of Jesus Christ. We develop confident, open-minded, and effective leaders who are ready to live joyful lives of faith, scholarship, and service. Eight Essential Characteristics of a Teacher at SJND Teachers at SJND … • support the values of a Catholic education and the school mission while also respecting religious plurality and cultural diversity;, • love working with young people, are relational and student-centered, and are committed to the success of their whole person;, • take creative initiative, are self-directed, and are solutions oriented;, • engage in colleague collaboration in a spirit of authentic communication;, • are coachable and receive constructive feedback in a spirit of maintaining a growth mindset;, • are reflective in their practice, are able to pivot and adapt, and are comfortable with change and transition;, • are lifelong learners who engage with current educational research and practice;, • are proponents of or aspire toward 21st Century Learning Practices that include: Standards Based Learning, Culturally Responsive Learning, Restorative Justice, Universal Design, and Trauma Informed approaches, all through a lens of Equity and Justice. The Call We have a year round open call for teachers in all subjects including English, Languages Other Than English, Visual and Performing Arts, Sciences, Social Studies, Mathematics, Theology, Physical Education, and Multi-Disciplinary areas. Eligibility • Prior teaching experience working with young people is preferred;, • California Teaching Credential (or a commitment to obtain one within three years of hire) is preferred;, • Bachelor’s Degree in the selected discipline (or closely related field) is required;, • Master’s Degree in Education or related field is preferred; Salary range for this position is between $57,000 and $96,120 and is dependent upon attained education, credentials, qualifications, and experience. The school offers a comprehensive benefit package which includes participation in the Diocese of Oakland pension plan (8% employer contribution) and retirement program (403b), and full medical, visual, and dental plans. The Application Process Please submit a single PDF document containing: 1. A cover letter addressing each of the following items ... • How your own values and passions connect with our school mission;, • How your educational practices align with any of our Eight Essential Characteristics of a Teacher at SJND;, • How you hope to grow as an educator if hired at SJND. 2. Your resume or CV. Applications are accepted on an ongoing basis and we will review them in the order in which they are received. You will be contacted if you are selected to participate in our interview process. Otherwise, if there are no current openings, your materials will be kept on file. We are an equal opportunity employer and we welcome and encourage diverse candidates to join our community.

Finance & Risk Quantitative Analytics Manager. Job Description: As a Manager in our Finance & RiskRisk Analytics practice, you will often be:. Minimum of a Bachelor's Degree in a quantitative discipline such as: Mathematics, Statistics, Econometrics, Economics, Engineering, Quantitative Finance or o

A prestigious university in California is seeking qualified, dynamic instructors for part-time online courses in Mathematics and Statistics through UC Berkeley Extension. This opportunity involves developing online course materials and engaging in both synchronous and asynchronous instruction. The r

Currently enrolled in a graduate program in any of the named fields (Data Science, Statistics, Computer Science, Mathematics, Physics, or other STEM field). Collaborate with Data Science and cross‑functional partners (Engineering, Product, and Client Services) to gather requirements, review result

Job DescriptionGroup and Job Profile Guidance: The Joint Test & Evaluation (JT&E) program considers emerging technologies and the increasingly complex and dynamic joint, multi-domain operational environment to develop non-material solutions intended to enhance the United States’ operational effectiveness, suitability, and survivability in combat. Primary Job Functions: As a member of the Joint Test & Evaluation Support Cell (JTSC) this individual will support the programmatic evaluation and analysis of Combatant Command Test Nominations and subsequent approved execution. -Conduct quantitative and qualitative analysis to support Joint Test & Evaluation (JT&E) projects and enhance operational decision-making.•Apply statistical methods, modeling & simulation techniques, and operations research methodologies to assess joint military operations and improve mission effectiveness.•Develop and implement data-driven solutions to optimize military operations, force readiness, and strategic planning.•Utilize computer-based analytical tools to evaluate operational performance and identify areas for improvement.•Identify risks, limitations, and operational challenges in joint military environments and recommend analytical solutions.•Applying process modeling and analytical techniques to identify operational challenges and develop effective solutions.•Conducting problem decomposition, concept development, and data-driven analysis to support joint military operations.•Providing parametric and non-parametric statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and survey test and evaluation methods. Qualifications and Experience:•Master's Degree in Operations Research, Mathematics, Statistics, Engineering, or a related technical field.•A Master's Degree in a non-technical field may be substituted with 10+ years of ORSA-related experience in military or government civilian experience.•Alternatively, a Bachelor’s Degree in a technical field with an additional 5 years of ORSA-related experience (totaling 10 years) may also be considered.•Proficiency in statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and human factors analysis.•Experience developing test and evaluation plans. (preferred but not required) #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: San Francisco (Hybrid in SF highly preferred, US only) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios. Key Responsibilities • Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques., • Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences., • Software Development & Productionization: Integrate research outputs into Verse's cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development., • Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or, • Bachelor's degree and 2+ years of energy sector experience, • Solid foundations in machine learning and statistical modeling, • Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn), • Familiarity with wholesale electricity market fundamentals and renewable energy technologies, • Direct experience with US or European wholesale electricity markets or utility tariff structures, • Experience with energy procurement, power purchase agreements, or risk management, • Experience modeling the operational and/or economic behavior of solar, wind, or energy storage, • Foundational knowledge of mathematical optimization, • Experience shipping models to production in a commercial or research environment, • Experience developing probabilistic forecasting models and quantifying uncertainty, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $120,000 - $155,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

Job Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to “roll your own” and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues. This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency. * Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow. * Build, test, deploy and maintain production systems. * Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages. * Support maintenance and optimization of cloud-native EDW and ETL solutions. * Maintain and promote best practices for software development, including deployment process, documentation, and coding standards. * Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. * Use extensive experience to build, test, debug, and deploy production-grade components. * Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. * Participate in development of database structures that fit into the overall architecture of Swish systems Qualifications: * Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area * 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs * A proven background in quantitative analytics, trading, or engineering is required for this position * Demonstrated experience developing data science modeling systems and infrastructure at scale * Experience with Python and exposure to modern machine learning frameworks * Proficient in SQL; experience with MySQL * Background and/or interest in Rust preferred * Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback * Strong communication skills when discussing technical concepts with technical and non-technical colleagues Base salary: starting at $160,000 base plus bonus potential Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning, you will be a core contributor to Zyphra’s Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We’re Looking For / Requirements: * Strong research taste and intuition * The ability to work through a research project from conception to execution to write-up * Strong implementation and prototyping skillset * A researcher who can take an idea from conception to experimentation extremely quickly * The ability to work well and cooperate with others in a high-paced research setting * Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: * Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks * Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. * Experience with context-length extension methods * A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning * Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation * Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) * Previously published machine learning research in well-respected venues * Highly proficient with PyTorch and Python * We are excited and able to rapidly learn new fields and implement new ideas * Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

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

Job Description Company Description Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets. Our challenges are unique, and we hope you're comfortable in uncharted territory. Role Overview As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for one or more trading strategies. You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management. Core Responsibilities * Own end-to-end research and production pipelines for a strategy * Lead alpha research initiatives leveraging advanced statistical and machine learning techniques * Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements * Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues * Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics * Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation * Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers * Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks * Lead design reviews and establish data quality and research reproducibility standards * Guide 1–2 junior researchers through project delivery and model development * Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies Execution & Market Microstructure * Design and implement transaction cost analysis (TCA) frameworks to measure and improve execution quality * Build market impact models and optimal execution strategies to minimize slippage across venue types * Develop real-time monitoring systems for latency, adverse selection, and execution performance metrics * Partner with infrastructure teams on ultra-low-latency data feeds and smart order routing algorithms Requirements: * Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus * Expert-level Python skills; able to build production-grade research and trading systems * Strong SQL skills; experience with complex queries on tick databases and time-series datasets * Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling * Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L * Experience processing high-frequency tick data and real-time market feeds * Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research * Track record of mentoring junior quantitative researchers * Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks * Deep understanding of equity/futures market microstructure, order types, and matching engine logic * Experience building sophisticated TCA frameworks with market impact decomposition * Familiarity with FPGA or kernel-bypass networking for latency-critical applications * Minimum of 5 years of experience in quantitative research, systematic trading, or statistical modeling Nice to Have * Proficiency in Rust, C++, or other systems languages for performance-critical components * Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection * Background in derivatives pricing, options market making, or volatility arbitrage * Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure Base salary: $165,000 - 200,000 + Bonus Plan Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.