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
12/02/2019
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. 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 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. We are looking for a creative, innovative, intellectually curious and entrepreneurial Senior Data Scientist / Machine Learning expert to join our team. This is an exciting opportunity to be part of one of the world's leading RWE teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The team You will join this high profile team to 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 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 role This is an exciting role for a subject matter expert in Machine Learning who is keen to lead, shape and grow a high profile and highly motivated Data Science team at the cutting-edge of life science. The primary focus of the role is to design and oversee the delivery of machine learning projects, such as developing algorithms to find undiagnosed patients with rare conditions. Most projects have an important research component, so a strong academic background is essential (the role includes opportunity to publish and participate in academic conferences). In addition, there is scope for development in other key areas: Product Development - Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries Business Development - Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc.). At IQVIA we appreciate and nurture individual talent. Therefore, the exact blend of responsibilities and individual career development will in part depend on the skill set and aspirations of the successful candidate. Our ideal candidate: Experience PhD and peer-review publications involving machine learning Extensive experience leading the design and delivery of advanced machine learning projects in the commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and writing reports / manuscripts. A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently. 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. Flexible and adaptable in a client focused, results-driven environment. Our ideal candidate: Tech Skills Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc. Strong programming skills in Python and/or R. Experience with Spark or Scala is beneficial. Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape. Bonus points for: Knowledge of 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 (RWE). Experience with patient-level, longitudinal data. 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
11/02/2019
Full time
Summary of Essential Job Functions Independently lead the development of medium to large system components Contribute to the design and development of new features and applications. Identify opportunities for process and tooling improvements and drive implementation Unit testing and functional testing of new functionality. Support customers and professional services as required to address any questions or resolve any issues related to the DrugDev Spark platform. Mentor more junior engineers and perform peer code review. Review of functional specifications and other validation deliverables. Coordinate release management activities, including alignment with quality and validation processes Serve as the back-up to senior engineering staff for releases and other duties when others are unavailable Support recruitment of new team members Provide technical thought leadership and help evaluate emerging technologies and 3rd party products Other duties as assigned Competencies Technical/functional expertise Communication Decision making Customer focus Conflict management Energy, motivation and work rate Skill Requirements Python and Linux/Mac RESTful API development Knowledge of web frameworks such as Flask, Django Experience in creating unit tests, TDD (test driven development) Familiarity with Elastic Search, Pandas, and/or Numpy a plus Experience in an agile development environment preferred Familiarity working in a regulated environment, CFR Part 11 validation knowledge preferred
IQVIA London, UK
31/01/2019
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 London, UK
31/01/2019
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! 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 Ideally you will have: 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™. 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. 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 Brighton, UK
29/12/2018
Full time
Imagine a world where every healthcare decision is the right one. This is our vision. Where data science and human science come together to provide creative solutions for healthcare companies, for patients, for everyone. We view each day as a journey, led by our 56,000+ employees in more than 100 countries, working together with clients to bring us closer to achieving this vision to transform healthcare. Software Engineer – Brighton, UK Real-World & Analytics Solutions (RWAS Technology) Job Description E360™: A revolutionary, scalable and extensible web-based platform for delivering Real-World Insights, that features the world’s largest unparalleled health data collection. To find out more about E360™, please watch the YouTube video here:   http://bit.ly/2w2wlfh In a rapidly growing IT team of 90, you as a Software Engineer will be playing a vital part in an agile development scrum team. Each multi-functional scrum team consist of 5 people, where you will be involved in creating and enhancing E360’s core health analytics software, that furthers and advances the pharmaceutical and governments research capabilities. What to expect Software Engineering using C#, Microsoft SQL Server and participating in the full software development process Participating in Agile practices such as daily stands ups, sprint planning, sprint refinements, and retrospectives Working to fortnightly sprints and taking part in bi-weekly demos Working alongside other team members such as Product Owners and Software QA to write clear and comprehensive code Very friendly and informal working environment Regular Innovation weeks – Where the IT team is given the chance to work on their own projects and showcase their work at the end of the week Our ideal candidate will have Experience with .Net framework and building software using C# Experience with HTML, CSS, XML, JavaScript, jQuery, Ajax Previous experience working in a commercial Agile team Proven experience in modern web application development based on current Microsoft technology Self-motivated and keen to contribute new ideas Disciplined yet creative approach to problem-solving, with good attention to detail Effective and clear communicator Bonus points for If you are a Full Stack Software Engineer Experience working with Microservices Experience using JavaScript frameworks such as ReactJS Experience using of .Net core, ASP.Net core Paired programming Experience using GIT Version Control System Bachelor’s Degree in a relevant subject The Team The RWAS Technology & Data Science 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 RWAS Solutions, 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 RWAS Tech CoE is at the forefront of "Big Data" in healthcare. Through its mission and skills, the RWAS is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes. Our E360™ software suite forms the core of our offering, providing an unprecedented single access point to a broad range of data. 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. It's an exciting time to join and reimagine what's possible in healthcare. Moving healthcare forward. Together. 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
29/12/2018
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! 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. Data Scientist Global Technology, Real-World & Analytics Solutions Role Purpose Working in an agile data science team, you will be creating and enhancing our core healthcare products that can make a difference to people’s lives. To find out more about the software we build, watch the YouTube video at   http://bit.ly/2w2wlfh Required Skills and Experience Educated to MSc level in Statistics, Data Science etc Experience in a commercial data science environment Proven experience in a data science programming language (Python, R, SAS, Stata etc) Experience building statistical and machine learning models (linear regression, generalised linear models, random forest, k-nearest neighbours, support vector machines, etc) Experience manipulating small-medium sized datasets for analysis Desired Skills and Experience Experience of working in a consulting environment Experience analysing datasets in Python Experience of working with healthcare data Experience working with software development tools such (Git, JIRA etc) 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. 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
24/12/2018
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! 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. 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 developing Machine Learning software 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 build data engineering and machine learning tools and products at the cutting-edge of life sciences. The primary focus of the role is to develop ML solutions on high scale, high complexity rich medical data to predict answers to healthcare challenges. Ideally you will have: Postgraduate degree or higher involving machine learning or computer science Experience of statistical / machine learning projects in academia or commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and report / manuscript writing. Strong programming skills in Python. Experience in pySpark is highly beneficial. Experience developing scalable solutions and pipelines to handle large and complex data. Excellent knowledge of supervised machine learning methods, such as regularised regressions, ensemble tree classifiers (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. Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape. Familiarity with agile software development practices such as Scrum. 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: Peer-reviewed publications involved machine learning 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™. 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 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 Brighton, UK
24/12/2018
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! 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. Job description IQVIA is currently seeking a data oriented Senior Java/Scala Developer, to join the Real-World Analytics Solutions (RWAS) technology team, responsible for leading the creation of new technology solutions that enhance the RWAS customer experience. The Senior Java/Scala Developer who will be part of our world class Observational Medical Outcomes Partnership (OMOP) Factory team, will be responsible for creating new and enhancing existing products and services within RWI’s data conversion team. You will develop technology solutions supporting optimal operational processes and maximum business outcome. This Position will focus on the design, development, and delivery of new systems that are required during the conversion of varied healthcare data sources into the industry standard OMOP format.  Under the direction of the Software Development Manager, the Senior Java/Scala Developer will create flexible, reusable ETL oriented code based on the business rules/requirements spelled out by the Data Analyst for each data source.  This role will also help Senior Architects design and implement new, deployable software products that enhance IQVIA’s information assets. In addition, you will be integrating these technologies into robust product oriented systems which derive rich analytic value to our customers. Our data conversion development teams in Brighton will coordinate activities with similar teams in the US and be collocated with other strategic development teams working on our world class analytic, machine learning and predictive technologies. Responsibilities Designs, modifies, develops, writes and implements software programming applications. Supports and/or installs software applications. Design and develop technical solutions for a defined project Develop and maintain OMOP data conversion ETL code based on ETL business rules Ensure all development standard practices are followed Perform code review on other developers’ code Work with data analysts on refining ETL business rules Work with QA to resolve defects found during the validation of converted data Participate in scrum agile meetings – sprint planning, retro, backlog grooming, daily stand-ups, sprint demo Work with data analysts to prepare demo material for each sprint Create and maintain ETL process documentation Essential Skills and Experience: Highly experienced working with ETL development with excellent command of SQL Skilled with Java in structured programming environments, preferably building deployable information products Strong object-oriented programming skills with experience in several languages such as C#, Objective C, Scala, ASP.NET, JSP, C++, and R Working experience with Big data/Hadoop technology, preferably Cloudera stack Experience with version control systems such as Subversion and Git Strong understanding of relational database design, N-tier architecture and web technologies Strong understanding of client/server technologies and concepts, and their application to and effect on application development Technical skills across platforms, including Unix, Windows and Oracle or SQL Server Scrum Agile experience Strong communication skills and ability to assist in mentoring more junior team members Desired Skills and Experience: Medical and Pharmaceutical patient level data experience Amazon Redshift experience Experience with Jenkins Programming with Python, Scala Experience with Cloudera Data Science Workbench and Spark Knowledge of Kubernetes or similar containerization technologies Strong knowledge of methods for quality assurance and usability testing for information systems OMOP knowledge Experience with R, SAS, or other statistical data analysis tools Experience using Jira and Confluence Experience with performance optimization Bachelor or Master’s Degree in Computer Science, Engineering, or similar discipline You’ll fit right in if you : Are enthusiastic and self-motivated with good decision-making skills. Can drive projects forward through personal initiative. Have the ability and interest in learning new, innovative technologies related to web and application development. Can effectively interact with a range of people throughout the organization of all seniorities. Speak up! We’re very open here, and we want to hear your opinion and ideas about how we can extend our products and do things better. Collaborate and work effectively with cross-functional teams in a fast-paced agile 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. 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™