Harness the Power of Human Data Science

At IQVIA, we have a vision. Where every healthcare decision is based on evidence. Where data science and human science come together to improve the health of people, not just when they are patients. Where new and creative solutions aren’t just possible – they are expected.

Healthcare is an industry designed to help humans. As a global community, we continuously invest and commit to advancing human health. To deliver value and real outcomes. To rise to the challenge to find the next breakthrough by making the most of increasingly limited resources.

IQVIA London, UK
16/09/2019
Full time
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. Healthcare Data Scientist Predictive Analytics, Real-World & Analytics (RWAS) Technology We are looking for a creative, innovative, intellectually curious and entrepreneurial Data Scientist with experience in applying Machine Learning algorithms to solve real-world problems to join our London (Kings Cross) team. This is an exciting opportunity to work in one of the world's leading human data science teams working with real world insights to help our clients answer specific questions globally, make more informed decisions and deliver results. The role We are looking for a Data Scientist who is keen to apply data engineering and machine learning tools and products at the cutting-edge of life sciences. The primary focus of the role is: Use and understand client requirements to apply ML-focused solutions to highly complex, rich patient-level medical data Communicate technical concepts and analytical outputs to a diverse set of stakeholders (internal and external) Own the delivery of client-facing projects from a technical perspective: Working closely with data engineers, data scientists and consultants in an agile environment to deliver work that adheres to the processes and quality standards set by the team Proactively provide feedback on existing processes and identify areas for improvement across the workflow. Our ideal candidate will have: An appetite for applying new and existing technologies to challenging problems in health care, i.e. motivated by solving the problem Postgraduate degree or higher in a technical or scientific domain Experience of analytical / machine learning projects in academia or commercial sector Experience in scientific programming languages such as Python and R Knowledge of supervised machine learning methods, such as regularised regression, ensemble tree-based models (e.g. xgboost), support vector machines, deep learning methods, etc. Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling. Excellent organisation skills with an appetite for working a fast-paced environment Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc. A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently, able to work as part of a cross-functional team. Bonus points for: Knowledge of healthcare patient-level data Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilisation, etc. Work in bioinformatics Knowledge of healthcare / life science issues involving Real-World Evidence Experience with patient-level, longitudinal data. The Team Our Predictive Analytics team 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, personalised 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 Predictive Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWI 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) Technology Real-World & Analytics Solutions (RWAS) is a market-leading, fast-growing and highly successful business, focusing on delivering tangible business results to clients across healthcare value chain internationally, working with key decision-makers and business managers. RWAS teams help clients leverage 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 visualisation, 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 organisations. RWAS 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 team is at the forefront of “Big Data” in healthcare. Through its mission and skills, the RWAS organisation is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes. We invite you to join IQVIA™. 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. 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! We invite you to join IQVIA™
IQVIA London, UK
16/09/2019
Full time
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. Join us on our exciting journey! The Analytics Center of Excellence A core part of R&D Solutions Applied Data Science Center, our Analytics Center of Excellence (ACOE) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. This is a new unit within our business, integrated within Clinical Operations. We’re using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery. This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Center of Excellence is a chance to revolutionize the clinical research industry. Principal Accountabilities: As a Data Analytics & Insights NEMEA Lead with balanced analytics, technology, and consulting experience, you will serve as the primary liaison providing direct support and connection between ACOE Analytics and IQVIA R&D Solutions' organizations and related external organizations primarily in NEMEA to drive digital innovations. Embedded in the R&D Solutions’ key business processes, you will lead business stakeholder engagements to identify and prioritize business problems to be addressed with data analytics. You will oversee and coordinate your team members in the design, development and delivery of data analytics solutions to address identified business problems, working with other ACOE team members, e.g. GSM (Global Solutions Manager) as needed. This role is a key analytics interface between stakeholders and Analytics and must have the ability to interpret requests and provide insights to support the overall business needs. Specific activities include: Embedded in the R&D Solutions’ key business processes, identify and prioritize business problems to be addressed with data analytics; In collaboration with ACOE Global Solutions Managers and R&D Solutions business owners, build country-/region-level analytics team capabilities that will develop and deliver clinical analytics leveraging country-level IQVIA data assets to support R&D Solutions needs; Lead analytic execution by managing local country / region and off-shore analytics teams on project; Develop and execute the regional team’s strategies aligned with the wider ACOE strategies; Provide methodology and data leadership to offerings development team to build out new capabilities leveraging data and analytic methodologists to address R&D business objectives based on local country data and methods; Support business partnership and empower data-driven decisions by working with structured and unstructured data sets, building analytics solutions and advising business stakeholders on data solutions development; Lead data innovation task force and guide the development and delivery of high value and differentiating analytic insights to enhance trial strategy and execution; Integrate custom analytics (e.g. clustering, predictive, prescriptive) to support data-driven decision making using advanced computing tools; Translate and communicate results, recommendations and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations; Stay updated on IQVIA offerings and newly acquired assets for developing R&D Solutions opportunities and identify new areas of growth, outside the scope of existing solutions, e.g. data exploration, data acquisition, visualization; Proactively continue to strengthen subject matter expertise within business partnership; Direct analytical methodology research, project execution, streamlining processes and efficiencies. Qualifications and capabilities: Our ideal candidate will have: A Bachelor’s or Master’s degree in Statistics, Economics, Econometrics, and Computer Science or a related field – alternatively, a relevant combination of education, training and work experience; At least five years of relevant quantitative experience analyzing data; Experience working with large volumes of complex health / claims data; A good understanding of data modelling, visualization, e.g. Spotfire, Tableau, Power BI; Experience with R or Python (Python preferable); Experience with Spark, SparkR, and PySpark within distributed environment is preferred; Strong SQL and/or Hive skills; A solid understanding of data science, ML / AI with a sound foundation in statistics; Strong people and performance management experience; Ability to bridge the technical expertise of data engineers and data scientists with the operational expertise of business functions and business managers; Strong understanding of local / regional health sector and data; Demonstrated project leadership; Strong interpersonal skills, communication and presentation skills; Local language skills, to an advanced level (spoken and written), with complete fluency in English. 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! We invite you to join IQVIA™
IQVIA London, UK
16/09/2019
Full time
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. 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. The role As a Data Analytics & Insights Senior Consultant with balanced analytics, technology, and consulting experience, you will provide data analytics expertise to IQVIA R&D Solutions' organizations and related external organizations to drive digital innovations. Embedded in the R&D Solutions’ key business processes, you will work with business stakeholders to identify and prioritize business problems to be addressed with data analytics. You will design, develop and deliver data analytics solutions to address identified business problems, working with other ACOE team members, e.g. GSM (Global Solutions Manager) as needed. This hands-on role is a key analytics interface between stakeholders and Analytics and must have the ability to interpret requests and provide insights to support the overall business needs. What a typical day might look like: Embedded in the R&D Solutions’ key business processes, identify and prioritize business problems to be addressed with data analytics; Support business partnership and empower data-driven decisions by working with structured and unstructured data sets, building analytics solutions and advising business stakeholders on data solutions development; Contribute to data innovation task and the development and delivery of high value and differentiating analytic insights to enhance trial strategy and execution; Leverage large volumes of complex internal and external data using a variety of technologies, including tools like Python, R, SQL, Spark, HDFS; Integrate custom analytics (e.g. clustering, predictive, prescriptive) to support data-driven decision making using advanced computing tools; Translate and communicate results, recommendations and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations; Stay updated on IQVIA offerings and newly acquired assets for developing R&D Solutions opportunities and identify new areas of growth, outside the scope of existing solutions, e.g. data exploration, data acquisition, visualization; Proactively continue to strengthen subject matter expertise within business partnership; Contribute to analytical methodology research, project execution, streamlining processes and efficiencies. Our ideal candidate: Bachelor’s or Master’s degree in Statistics, Economics, Econometrics, and Computer Science or a related field, five years of relevant quantitative experience analyzing data – alternatively, a relevant combination of education, training and work experience; Experience working with large volumes of complex health / claims data; A good understanding of data modelling, visualization, e.g. Spotfire, Tableau, Power BI; Experience with R or Python (Python preferable); Experience with Spark, SparkR, and PySpark within distributed environment is preferred; Strong SQL and/or Hive skills; A good understanding of data science, ML / AI with a sound foundation in statistics; Ability to bridge the technical expertise of data engineers and data scientists with the operational expertise of business functions and business managers; Sound understanding of local / regional health sector and data; Strong communication and presentation skills; Ability to manage a workstream / project; Local language skills, to an advanced level (spoken and written), with complete fluency in English. The Analytics Center of Excellence A core part of R&D Solutions Applied Data Science Center, our Analytics Center of Excellence (ACOE) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. This is a new unit within our business, integrated within Clinical Operations. We’re using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery. This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Center of Excellence is a chance to revolutionize the clinical research industry. We invite you to join IQVIA™. Join Us Making 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. Join Us Making 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.