Staff Data Scientist

ClinChoice is a global, full-service CRO committed to professional development, excellent work-life balance, and a quality-focused, collaborative “one-team” culture. We are currently seeking a Senior Clinical Research Associate (Senior CRA) to join our team on a full-time, permanent basis. This is a remote position based in Spain, with Barcelona as the ideal location. Regular travel to clinical trial sites is required. In this role, you will support 2–3 clinical trials and be responsible for site monitoring activities, including study start-up, conducted both on-site and remotely. You will have the opportunity to work across a diverse portfolio of projects for clients ranging from small and emerging companies to large pharmaceutical, biotechnology, medical device, and consumer health organizations. Previous experience working for a CRO is required. Join our team: you can be part of making a difference in people’s lives and experience a fulfilling and rewarding career! Main Job Tasks and Responsibilities: Keep professionally abreast of all scientific, regulatory and operational aspects relevant to the clinical projects assigned. Assist in the selection of sites, site evaluation visits, initiation visits and ensure follow-up by obtaining pre-study documentation to ensure good start-up of the investigation sites. May act as Feasibility Associate. Train site staff in all study procedures. Conduct periodic monitoring visits, including completion of monitoring visit report. Review at each visit the accuracy, legibility, completeness and quality of the Case Report Forms (CRF). Conduct source data verification and in-house review of clinical data and ensure timely resolution of data queries to guarantee reliable clinical data. Manage the investigational products (storage, inventory, dispensing records, packaging and labelling) and the trial material (Investigator Study File (ISF), CRF, questionnaires, diaries, etc.) to ensure timely and correct supply to the sit

Job Requisition ID # 26WD101331 Position Overview The Business Operations Management Program Manager is responsible for driving complex, cross-functional initiatives across Deal & Partner Operations. This role leads programs and projects from definition through implementation, translating business and subject-matter requirements into scalable processes, work instructions, and operational solutions that support organizational priorities. Working closely with Deal & Partner Operations leadership and stakeholders across Autodesk, you will identify process gaps, evaluate risks and trade-offs, align parallel workstreams, and guide programs toward measurable outcomes. You will independently navigate complex and evolving requirements, influence without direct authority, and communicate recommendations, progress, and challenges to audiences at multiple levels of the organization. You will also support organizational readiness and change adoption, strengthen subject-matter expertise across the organization, and use data, business applications, automation, and AI to improve efficiency, decision-making, and communication. This role reports to the Senior Manager of Business Operations Management and Chief of Staff to the Vice President of Deal & Partner Operations. The position is based in Barcelona and follows Autodesk’s hybrid work model. Responsibilities Lead complex, cross-fu

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transform how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every box - we’re looking for lifelong learners and people who can improve us with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Security team’s mission is to strengthen Okta’s position as the leading Identity-as-a-service solutions provider by identifying and resolving risks to employees, products, and, most importantly, our customers. With the ever-increasing pace of cloud application adoption, companies are struggling to find ways to accurately assess risk and act at the speed of their business. The Staff Product Security Engineer, PSIRT position is crucial in ensuring that Okta’s systems and services meet the highest security standards and align with our customers’ requirements. This position requires leadership, an innovative mindset, and expertise in security operations, responsible disclosure, vulnerability management, and program management. This position is available to candidates in Ireland and Spain. What You Will Do R

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, dee

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. This role is for a current vacancy. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine lea

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. The impact you will have: Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations a