Sr. Clinical Data Science Lead- Remote ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking a Senior Clinical Data Science Lead to join our diverse and dynamic team. As a Senior Clinical Data Science Lead at ICON, you will play a pivotal role in leading the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. You will contribute to the advancement of innovative treatments and therapies by overseeing data science initiatives and ensuring data quality and integrity across studies. What You Will Be Doing: - Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting. - Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs. - Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes. - Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements. - Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research. Your Profile: - Advanced degree in a relevant field such as data science, biostatistics, or life sciences. - Extensive experience in clinical data science, with a strong focus on data management and analysis in clinical trials. - Strong leadership skills and a proven ability to manage cross-functional teams in a fast-paced, matrix environment. - Expertise in data analysis tools, statistical software, and data visualization techniques. - Excellent communication, interpersonal, and stakeholder management skills, with the ability to influence and drive change in a complex organization. Nous recherchons actuellement un Senior Clinical Data Science Lead pour rejoindre notre équipe diversifiée et dynamique. En tant que Senior Clinical Data Science Lead chez ICON, vous jouerez un rôle clé dans la direction de l’analyse, de l’interprétation et de la gestion des données cliniques afin de contribuer au succès de nos essais cliniques. Vous participerez à l’avancement de traitements et de thérapies innovants en supervisant les initiatives de data science et en garantissant la qualité et l’intégrité des données à travers les études. Vos missions : - Diriger le développement et la mise en œuvre de stratégies de gestion des données cliniques afin d’optimiser la collecte, l’analyse et le reporting des données. - Collaborer avec des équipes transverses pour assurer l’intégration précise des techniques de data science dans la conception des essais cliniques. - Superviser l’analyse des données cliniques afin de fournir des insights exploitables permettant d’éclairer les décisions et les résultats des études. - Fournir une orientation stratégique en matière de gouvernance des données, de contrôle qualité et de conformité aux exigences réglementaires. - Établir des partenariats avec les principales parties prenantes afin de tirer parti des dernières avancées en data science et en technologies appliquées à la recherche clinique. Votre profil : - Diplôme universitaire de niveau avancé dans un domaine pertinent tel que la data science, la biostatistique ou les sciences de la vie. - Expérience significative en data science clinique, avec une forte expertise en gestion et analyse des données dans le cadre des essais cliniques. - Solides compétences en leadership et capacité avérée à encadrer des équipes transverses dans un environnement matriciel dynamique. - Maîtrise des outils d’analyse de données, des logiciels statistiques et des techniques de visualisation des données. - Excellentes compétences en communication, en relations interpersonnelles et en gestion des parties prenantes, avec la capacité d’influencer et de conduire le changement au sein d’organisations complexes. What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: - Various annual leave entitlements - A range of health insurance offerings to suit you and your family’s needs. - Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. - Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being. - Life assurance - Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Your Impact As the lead practitioner of the Value Engineering function at DISCO, they leverage deep-dive business discoveries and robust financial modeling to build compelling, data-driven business cases for change, directly bridging technical capability with strategic business outcomes. This individual acts as the leading expert in Value Engineering for DISCO, building and refining the methodologies and deliverables used to assess, model, and present compelling financial cases to executive stakeholders across law firms and corporations. What You'll Do - Department Strategy and Leadership: Collaborates with Sales Leadership to define value engineering strategy for strategic opportunities and allocates resources appropriately. Ensures deliverables meet expectations and are delivered on time and perform against SLAs and KPIs. - Value Methodology & Business Case Development: Utilizes and refines established methodologies to quantify business value, creating bespoke ROI models and Total Cost of Ownership (TCO) analyses that resonate with executives. Partners with Sales to develop high-impact business cases that articulate the economic and strategic benefits of our platform for specific prospect environments. - Collaborative Discovery & Solutioning: Leads in-depth discovery sessions with prospects to identify operational bottlenecks, quantify current "pain points," and model the financial benefits of transitioning to our solutions. Works closely with Solutions Architects to ensure technical capabilities are mapped directly to financial value drivers. - Strategic Sales Support & Presentation: Delivers professional, data-driven presentations to legal and corporate stakeholders that simplify complex financial insights into actionable strategic narratives. Acts as a key advisor to the sales team on strategic accounts, using value-based selling techniques to overcome "no-decision" outcomes and accelerate the sales cycle. - Cross-Departmental Partnership: Collaborates with Product Management and Sales Leadership to provide insights on market trends and financial drivers that should influence the product roadmap. Who You Are - 10+ years of experience in a customer-facing role within enterprise software/SaaS, with a focus on Value Engineering, Management Consulting, or Strategic Pre-sales. - 5+ years of experience in a Value Engineering role, building financial models and business cases for complex, high-contract-value (ACV) deals. - Experience in the legal tech, eDiscovery, or the enterprise SaaS space - Experience as a team lead or manager within a Value Engineering function. - Deep technical acumen with the ability to understand complex software solutions and articulate - their value to both technical and non-technical audiences. - Exceptional communication and presentation skills, with the ability to command executive - presence and build strong stakeholder relationships. - Strong business acumen and understanding of various business processes and financial models. - Analytical mindset with the ability to leverage data to drive insights and inform strategy. - Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities. Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers. Perks of DISCO - Open, inclusive, and fun environment - Benefits, including medical, dental and vision insurance, as well as 401(k) - Competitive salary plus RSUs - Flexible PTO - Opportunity to be a part of a company that is revolutionizing the legal industry - Growth opportunities throughout the company About DISCO DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us! We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Data Scientist to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. Responsibilities - Machine Learning & Data Science - Develop, evaluate, and deploy predictive and generative models for real production use cases - Perform feature engineering and data preparation for modeling workflows - Translate business and product questions into analytical solutions - Generative AI - Build and maintain LLM powered features and services - Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases - Integrate LLMs with APIs and internal tools using structured function calling - Finetune foundation models with parameter efficient approaches (e.g., LoRA) - Evaluate model quality, detect hallucinations, and implement safety guardrails - Use synthetic data to improve model performance, testing, and fairness - Optimize inference performance and cost across different model providers - MLOps & Production Systems - Deploy and operate machine learning and GenAI models in production - Build CI/CD pipelines for models and data workflows - Monitor performance, data quality, and model drift - Design versioning, rollback, and retraining strategies - Partner with platform and infrastructure teams to ensure reliability and scalability - RealTime Analytics - Build low latency data pipelines and real time decisioning systems - Work with streaming data and event driven architectures - Support systems with strict uptime and response time requirements - Contribute to feature stores used for both real time and batch inference Qualifications - 3–6 years of experience in data science, machine learning, or applied AI - A degree (Master's or better preferred) in Computer Science, Data Science or related fields - Strong Python and SQL skills - Hands-on experience deploying models into production - Familiarity with cloud platforms (AWS, Azure, or GCP) - Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn) - Exposure to LLMs, embeddings, and GenAI workflows - Ability to communicate clearly with engineers, product managers, and non-technical partners Nice to Have - Experience with streaming data systems - Experience operating models at scale - Knowledge of MLOps tools and observability practices - Experience building AI solutions that support customer facing products Physical Demands and Working Conditions - While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. - The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. - May be required to sit and/or stand for long periods of time. - Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. - May be required to lift or move 10+ pounds. Pay Range USD $116,400.00 - USD $198,200.00 /Yr.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join Healthcare Analytics Solutions (HAS) to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. - Partner with clinicians, engineers, and product teams - Deliver robust, compliant, and well‑documented models that impact patient care and downstream products - Fully remote, minimal travel required - Strong emphasis on hands‑on production experience and pragmatic problem solving Company Description Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets. - Pharma - Clinical Trials - Health Plans/Payers - Hospitals/Health Systems - Public Health agencies