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
10/12/2018
Full time
Big Data Engineer, Spark/Scala Machine Learning & AI Products, RWAS Technology You will join a team of highly talented Engineers and Data Scientists, with your main focus being to write highly performant and scalable code that will run on top of our Big Data platform (Spark/Hive/Impala/Hadoop). As such, you will work closely with the Data Science team to support them in the ETL process (including the cohorts building efforts). A typical day might include: Working in a cross-functional team Building scalable and high-performant code Mentoring less experienced colleagues within the team Implementing ETL and Feature Extractions pipelines Monitoring cluster (Spark/Hadoop) performance Working in an Agile Environment Refactoring and moving our current libraries and scripts to Scala/Java Enforcing coding standards and best practices Working in a geographically dispersed team Working in an environment with a significant number of unknowns – both technically and functionally. Our ideal candidate: Experience BSc or MSc in Computer Science or related field Strong analytical and problem-solving skills with personal interest in subjects such as math/statistics, machine learning and AI Solid knowledge of data structures and algorithms Experience working in an Agile environment using Test Driven Development (TDD) and Continuous Integration (CI) Experience refactoring code with scale and production in mind. Our ideal candidate: Tech Skills Proficient in Scala, Java and SQL Strong experience with Apache Spark, Hive/Impala and HDFS Familiar with Python, Unix/Linux, Git, Jenkins, JUnit and ScalaTest Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Experience with any of the following distributions of Hadoop - Cloudera/MapR/Hortonworks. Bonus points for experience with: Other functional Languages such as Haskell and Clojure Big Data ML toolkits such as Mahout, SparkML and H2O Apache Kafka, Apache Ignite and Druid Container technologies such as Docker Cloud Platforms technologies such as DCOS/Marathon/Apache Mesos, Kubernetes and Apache Brooklyn. The Team This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The Predictive Analytics team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. We are looking for a creative, innovative, intellectually-curious and entrepreneurial Big Data Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The Business Unit: Real-World & Analytics Solutions (RWAS) Technology “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.  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.
IQVIA Brighton, UK
19/11/2018
Full time
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. IQVIA™Real-World & Analytics Solutions (RWAS) is a fast-growing and highly successful business, focusing on delivering tangible results to clients across healthcare value chain internationally. RWAS teams help clients’ lever patient-level healthcare datasets of varying degree of complexity and richness to understand healthcare treatment patterns and outcomes to make more informed decisions, and deliver results. Our approach enables the transformation of the industry utilizing Real-World Evidence (RWE) to provide deeper insight into market dynamics, therapy area changes, outcomes, unmet needs, treatment economics and other scientific and market questions. We are collaborative, intellectually curious, entrepreneurial, and constantly looking for opportunities to harness the value of RWE in a constantly evolving industry. IQVIA™has adopted OMOP/OHDSI as a systematic and standardized approach to RWE. Data are converted into the OMOP Common Data Model, making queries and analytics interoperable and sharable. In addition, the generation of these queries and tools and its execution can be separated, both physically as well as logically, creating the opportunity to develop code for purposes of descriptive statistics or hypothesis testing in the absence of a direct data access to all data assets being targeted. As a consequence, the generation of insights becomes an industrialized process, including the characterization of data and the generation of insights. The RWAS Remote Study team's mission it to deliver world class and globally scalable studies: Simple studies, executed as rapid queries, to assess study feasibility and availability of data Medium complex studies, characterizing the composition of a population: Their demographic structure, the distribution of their comorbidities, the duration between diagnosis and intervention, etc. Complex studies, estimating the association between clinical interventions and their outcomes – benefits and adverse events. Predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions) This requires global leadership across technical and data architecture, data manipulation, analytics script and report generation, software development and data visualization. The solutions are delivered to a variety of clients across life-science, government, payer or provider organizations. The team also curates the largest collection de-identified Real-World Data in the world in OMOP Common Data Model, from different patient care settings in 18 countries worldwide, making it the forefront of “Big Data” in healthcare. Overview of the Role: The candidate would join a high profile and talented team, and act as data scientist for generating studies for various IQVIA RWAS customers. The activities require skills in: Ad-hoc script writing in R and SQL, potentially Python and Spark R package generation, R visualization Development and implementation of solutions for retrospective research studies statistical methods NLP and text mining application Scalable data manipulation: Extraction and transformation SQL query generation and management in various flavors: Oracle, SQL Server, Redshift, Hadoop The candidate would work directly with the RWAS Remote Study team's mission it to deliver world class and globally scalable studies: Simple studies, executed as rapid queries, to assess study feasibility and availability of data Medium complex studies, characterizing the composition of a population: Their demographic structure, the distribution of their comorbidities, the duration between diagnosis and intervention, etc. Complex studies, estimating the association between clinical interventions and their outcomes – benefits and adverse events. Predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions) This requires global leadership across technical and data architecture, data manipulation, analytics script and report generation, software development and data visualization. The solutions are delivered to a variety of clients across life-science, government, payer or provider organizations. The team also curates the largest collection de-identified Real-World Data in the world in OMOP Common Data Model, from different patient care settings in 18 countries worldwide, making it the forefront of “Big Data” in healthcare. Candidate Requirements: Masters or higher education with at least three years of experience in writing analyzing healthcare data Experience in manipulating and querying data at scale Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling. Software engineering experience including agile methods, programming skills in languages such as Python, R, C++, Spark, potentially Scala, Matlab, and data visualization Exposure to epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, Good knowledge of healthcare / life science issues involving Real-World Evidence or experience with patient-level, longitudinal data. A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently. Flexible and adaptable in a client focused, results driven environment. Ability to manage team members effectively on or off-shore Experience of a fast-paced, consultancy environment. Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWAS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. 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 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.
IQVIA London, UK
19/11/2018
Full time
We are looking for a confident, energetic and intellectually curious Product Business Analyst to join our London-based team. This is an exciting opportunity to be part of one of the world's leading Machine Learning Products in Healthcare teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The role The Product Business Analyst will be responsible for eliciting, analyzing and managing the requirements needed for building Machine Learning applications for clients, in the capacity of a Product Manager role. The PBA will be responsible for arranging meeting with clients, understanding requirements, creating and maintaining the product backlog for each product.  The PBA will be required to support running the scrum processes, bridging between the client requirements and the product development team.  The will run the sprint planning meetings and work with both the developers and QA team to ensure the requirements are fully met and validated.  The PBA will provide demos to the stakeholders at the end of each sprint and work with the stakeholders to priority the next sprint’s work; will be coordinating and facilitating UAT testing to make sure the product meets user expectations; will be responsible for the day-to-day operations of the project and provide status updates to management when requested. The PBA will support with proposal and product materials preparation, blending innovation with pragmatism.       Our ideal candidate Knowledge of healthcare patient-level data, e.g. claims data, HER, hospital episodes, etc.or longitudinal data and studies Passion and keen interest for developing cutting-edge Machine Learning products on healthcare data to server our clients Background in epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc. Knowledge of healthcare / life science issues involving Real-World Evidence. Ability to perform day-to-day project management Ability to gather requirements/business rules Our ideal candidate: Tech Skills Knowledge of UI development in plotly, javascript, CSS, Rshiny, tableau, qlikview Knowledge of overall software development process Knowledge of Team Foundation Server (TFS) or other backlog management system Strong familiarity with Scrum/agile methodology Bonus points for: Background in bioinformatics. The Team   Our 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) Technology Real-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 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. 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.
IQVIA Reading, UK
17/11/2018
Full time
Within IQVIA, our   Real-World Analytics Solutions  ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.   Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.  While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members.  They may also lead direct negotiations with customer, maintaining strong relationships at all times. Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members.  They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution.  They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents. DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account  and supporting the RFP process. There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions. To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials. You’ll also need: Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology) Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology Knowledge of operating procedures and work instructions and the ability to apply them in practice Knowledge of Good Clinical Practices and relevant regulatory guidelines Excellent communication, interpersonal, customer service, and teamwork skills. Next steps: You will be contacted by one of our recruiters to arrange a prescreen call should your background be relevant for this opportunity who will be able to give you more information on this team and the opportunity and also explain the assessment process to you for this role.
IQVIA London, UK
17/11/2018
Full time
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. Position Summary We are recruiting a technically proficient, adaptive person who has experience analysing, designing and developing information solutions to support health and clinical data analytics. This person will be part of an expert technical team and cross-functional country deployment team, responsible for the technical analysis, deployment, testing and customization of a solution to support an oncology data network across Europe. Responsibilities Independently lead the development of consistency quality rules (syntactic rules and semantic rules) and other small to medium system analytics and data enhancing components Implement complex reference data logic and transformation rules between real world data and conformed standards Contribute to the design and development of new features and applications Refine the business logic with the input of the business and data architect Incorporate internal team and client feedback into the development, refinement and definition of business logic Unit testing, functional and automated testing of new functionality Review of functional specifications and production of design artefacts Coordinate release management activities, including alignment with quality and validation processes Communicating, collaborating and supporting the core development team, distributed country development teams, participating vendors and other stakeholders Provide technical thought leadership and help evaluate emerging technologies and 3rd party products Other duties as assigned Required Skills & Experience 5+ years professional software development experience 3+ years professional experience using R and Python, ideally with some additional Java integration experience Demonstrable ability to understand and script / program mathematical and statistical analytical methods including non-linear, probabilistic (Bayesian network learning, Monte-carlo etc.) and time-series analysis, implemented using Python and/or R and/or Java scripting Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or other related field Ideally has experience with REST API’s, XML and XSD Ideally has experience with Natural Language Processing (NLP) Experience with at least one RDBMS (Oracle preferred) Ideally possesses experience with development of data warehouse and multi-dimensional database solutions, including staging, ETL and reporting/analytics Able to develop queries/procedures in SQL (e.g. PL/SQL, T-SQL) Experience with data profiling tools (e.g. Talend) and data quality methods Exposure to both Windows and Linux environments Experience in creating unit tests, TDD (test driven development) Experience in an agile development environment preferred Experience of Master & Reference Data Management Excellent communication and technical documentation skills Preferred Experience Exposure to healthcare \ life sciences \ clinical trials \ pharmaceutical data is highly preferred Experience with HL7 based data exchange would be beneficial Location Will be based at the London office 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   whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™.
IQVIA London, UK
14/11/2018
Full time
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. Position Summary We are recruiting a technically proficient, adaptive person who has experience analysing, designing and developing information solutions to support health and clinical data analytics. This person will be part of an expert technical team and cross-functional country deployment team, responsible for the technical analysis, deployment, testing and customization of a solution to support an oncology data network across Europe. Responsibilities Independently lead the development of small to medium system components Contribute to the design and development of new features and applications Unit testing, functional and automated testing of new functionality Review of functional specifications and production of design artefacts Coordinate release management activities, including alignment with quality and validation processes Communicating, collaborating and supporting the core development team, distributed country development teams and participating vendors Provide technical thought leadership and help evaluate emerging technologies and 3rd party products Other duties as assigned Required Skills & Experience 5+ years professional software development experience 3+ years professional experience backend Java development Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or other related field Experience with REST API’s, XML and XSD, including development of Experience with Event-driven Messaging and SOA approaches, including one or more of: Apache Kafka/Camel, Pentaho, Talend, Mulesoft, Tibco Ideally possesses experience with integration of analytical packages such as Python, R – experience with the latter beneficial Experience with at least one RDBMS (Oracle preferred) Ideally possesses experience with development of data warehouse and multi-dimensional database solutions, including staging, ETL and reporting/analytics Able to develop queries/procedures in SQL (e.g. PL/SQL, T-SQL) Exposure to both Windows and Linux environments Experience in creating unit tests, TDD (test driven development) Familiarity with Apache open-source frameworks Experience in an agile development environment preferred Experience of Master & Reference Data Management Excellent communication and technical documentation skills Preferred Experience Exposure to healthcare \ life sciences \ clinical trials \ pharmaceutical data is highly preferred Location Will be based at the London office 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   whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™.
IQVIA London, UK
13/11/2018
Full time
Senior Software Engineer Machine Learning & AI Solutions, RWAS Technology We are serious about data. We don’t have ping pong or a snooze room. We have a dedicated, collaborative team with meaningful shared goals who can use the most cutting-edge technology, the largest data sets, and the best analytics tools to achieve them. And we have fun on the journey! We invite you to be part of a recognized global leader still willing to challenge the status quo to improve patient care. You will be in good company, amongst some of the finest minds in Technology and Healthcare. The Role Play an essential role as part of a product engineering team, who develop healthcare web applications with machine learning components. You will lead the development of an analytics platform, both front-end and back-end components, focusing on creating an informative, smooth, and beautiful experience for the users, along with rapid customisation to client needs. You’ll build upon our microservices architecture and modular UI, ensuring the possibility of deployment in the cloud and on premise. You will work closely with our big data and machine learning teams to achieve the vision. The ability to learn extremely fast and rapidly build skills in cutting-edge technologies is essential; you will need to bring a depth of experience in full stack development and web technologies, be open about your strengths and weaknesses, and quickly identify how to move you and your team to the next step. A broad understanding of the latest data science technologies is a plus but not a requirement. You will need to understand the full range of tasks involved in constructing effective and beautiful user-facing applications, from the underlying processing to the end-user experience. If you are highly collaborative, innovative, flexible, excellent at communication, writing high quality code and taking initiative, please apply without delay! Our ideal candidate: Experience You will have a strong background in commercial software development, and will have worked on multiple web applications, both back-end and front-end, with modern languages and frameworks. You have experience working with Agile methodology such as Scrum or Kanban and familiarity with software development practices such as Continuous Integration, Behaviour-Driven Development and DevOps. You will have strong opinions on how to design high-quality, maintainable code for the long-term. You will have had some commercial experience of data exploration, cleansing, and the processing of messy data and experience working with very large datasets in SQL databases. You will have a degree in a quantitative discipline (computer science, mathematics, physics, artificial intelligence or similar). Additionally, knowledge of the latest developments in machine learning and some experience of engineering with the relevant technologies on commercial or large academic projects is welcome. Our ideal candidate: Tech Skills Significant experience (ideally long-term commercial projects) developing in at least two of the following: Go, TypeScript, JavaScript (ideally ReactJS), Python, Scala, Java, or C++. You might have a lot of experience in just one of these, but ideally you will have at least dabbled in one more. Experience working with REST architectures and API design, or GraphQL. Experience (at least one project) working with a variety of data storage and processing technologies such as SQL, Oracle, PostgreSQL, MariaDB, Redis, MongoDB, Hadoop, Spark, Kafka, Cassandra. Bonus points for working with cloud technologies such as AWS, GCP, Azure and also container systems like Docker and Kubernetes. The Team: Machine Learning & AI Solutions This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. We are looking for a creative, innovative, intellectually-curious Senior Data/Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The Business Unit: Real-World & Analytics Solutions (RWAS) Technology “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.  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.
IQVIA Reading, UK
12/11/2018
Full time
Data Team Lead Home based or office based in UK, Ireland, France, Italy, Spain or Portugal Within IQVIA, our   Real-World Analytics Solutions  ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.   Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.  While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members.  They may also lead direct negotiations with customer, maintaining strong relationships at all times. Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members.  They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution.  They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents. DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account  and supporting the RFP process. There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions. To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials. You’ll also need: Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology) Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology Knowledge of operating procedures and work instructions and the ability to apply them in practice Knowledge of Good Clinical Practices and relevant regulatory guidelines Excellent communication, interpersonal, customer service, and teamwork skills. Next steps: You will be contacted by one of our recruiters to arrange a prescreen call should your background be relevant for this opportunity who will be able to give you more information on this team and the opportunity and also explain the assessment process to you for this role.