Principal, AI Platform and Machine Learning Solutions

IQVIA
IQVIA

Job Overview

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.Join us on our exciting journey!IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.Principal, Artificial Intelligence & Machine Learning SolutionsRWAS TechnologyThe roleWe are looking for a passionate technology and product-focused evangelist for this UK or US-based position.In this senior role for our Real World Artificial Intelligence & Machine Learning Solutions you will be key in creating the product strategy, working closely with Product Managers, and the Software Development & Data Science teams who are building innovative AI & ML solutions on Real World Data in healthcare; Solutions which turn learning health systems from concept to reality, levering computer science to address some of healthcare’s most pressing issues, such as under-diagnosis of rare disease, under-treatment of complex patients.These exciting products and solutions can be customized to meet specific client needs, and you will have the relevant expertise to identify such opportunities.You’ll work closely with and across the leadership our RWAS Technology Team including RWAS VPs and Directors owning different product lines and software engineering cells, as well as Sales and Principals across Global RWAS and the local business units.To be successful in this role, you will;Drive innovation through stakeholder and client feedback cycles.Build strong relationships with development staff, product owners, senior executive and clients alike; bridging the gap between business ‘wants’ and customer ‘needs’.Be comfortable in multiple, often seemingly conflicting roles: from sales support to product demos and speaking engagements, project management to financial ownership of service and product lines.Be prepared to react to a fast-changing industry using insights gained from a wide variety of sources.Our ideal candidate: ExperienceCommercial awareness and good understanding of the pharmaceutical commercial field and healthcare technology gained through experience on a global scale.Offering development for AI and ML platforms-as-a-service, software-as-a-serviceHealthcare technology sales in either software or technology services.Selling and supporting off-the-shelf and custom healthcare technology solutions, especially related to outcomes research and clinical trials.Proven hands-on leadership in pharmaceutical and/or healthcare technology innovation.Our ideal candidate: AbilitiesExcellent understanding of innovative disruptive technology, Real World Data, especially related to healthcare dataLeadership experience and ability to use influencing skills at all levelsA collaborative mindset and excellent communication skillsProven ability to build strong business relationshipsFluency in English and excellent oral presentation and writing skills.The TeamOur Machine Learning & Artificial Intelligence team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.You will join this high-profile team to work on ground-breaking problems in health outcomes across disease areas including Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Machine Learning & Artificial Intelligence Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.The Business Unit: Real-World & Analytics Solutions (RWAS) TechnologyReal-World & Analytics Solutions (RWAS) is a market-leading, fast-growing and highly successful business, focusing upon delivering tangible business results to clients across healthcare value chain internationally, working with key decision-makers and business managers. RWAS teams help clients lever complex clinically rich patient-level healthcare datasets to understand healthcare treatment patterns and outcomes to make more informed decisions, and deliver results.The RWAS Technology mission is to deliver world class and globally scalable technology platforms and analytics applied to complex and large scale clinical datasets, to support IQVIA’s ongoing and rapid growth in Real World Evidence, as well as the development of new product lines – this requires global leadership across technical and data architecture, software development and data visualization, privacy management, analytical methods, data science, machine learning, deep learning and natural language processing (NLP) – building upon 100s of novel technologies and methods either published in peer reviewed journals or patented by our team.The solutions are delivered to a variety of clients across life-science, government, payor or provider organizations. The CoE also curates the largest collection of de-identified Real-World Data in the world, from different patient care settings in 18 countries worldwide – the RWES Tech CoE is at the forefront of “Big Data” in healthcare. Through its mission and skills, the RWES is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes.We invite you to join IQVIA™.We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.Whatever your career goals, we are here to ensure you get there!IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. individual employees the opportunity to maximize their personal potential.Join UsMaking a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.Forge a career with greater purpose, make an impact, and never stop learning.IQVIA is an EEO Employer – Minorities/Females/Protected Veterans/DisabledIQVIA, Inc. provides reasonable accommodations for applicants with disabilities.  Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at [email protected] to arrange for such an accommodation.Full time

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