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 Livingston, UK
15/04/2019
Full time
Q2 Solutions is a leading clinical trial laboratory services organization with end-to-end laboratory services and secure, enterprise-wide biospecimen and consent management solutions. With a relentless focus on quality and innovation, Q2 Solutions uses its global experience and scientific expertise to transform science and data into actionable medical insights that help customers improve human health.  A joint venture of IQVIA (formerly QuintilesIMS) and Quest Diagnostics, Q2 Solutions combines the best of each parent organization’s clinical trials laboratory services capabilities to fulfill its mission of treating each sample as if a life depends on it. PURPOSE A Lab Data Analyst that provides clinical lab data expertise as part of a team to develop and maintain Laboratory Data Management (LDM) for the studies awarded to Quintiles laboratory and meets the external client data reporting needs. RESPONSIBILITIES Serve as Data Team Lead (DTL) for regional and global studies or serve in a leadership role to a specific DM Task. Manage delivery of projects through full data management study life-cycle. With minimal guidance, manage project timelines and quality issues, and identify and justify out-of-scope Serve as back-up for other Data Team Leads. Perform comprehensive quality control procedures. Provide input for negotiations with customer. Independently bring project solutions to the LDM team Identification of the database set up and programming gaps and solves issues through using the global issue escalation/communication policy. Understanding and verification of error logs generated by the QLIMS Data Transmission creation programs and communicate effectively to the programming/support team to resolve if any issues in the Data Transmission. Create and/or review of all appropriate data management documents Understand and comply with core standard operating procedures and working instructions Meet objectives as assigned Develop and maintain good communications and working relationships with LDM team Interact with internal and external team members to negotiate timelines and responsibilities. Train and mentor junior DTL staff in DM expertise Ensure service and quality meet agreed upon timelines and deliverables in data transmission agreements Review own work for accuracy and completeness Ensure quality checks performed on data files before transmission and obtain peer-review where required Record all evidence of the data transmission process from data file definition to closure of study Ensure that all specification and design documentation are filed and stored according to company policy Ensure the internal and external customer queries are timely addressed and resolved effectively. Multiple communication styles and skill to effectively broker, audience specific [peers, senior team members, internal/external customers] business and interpersonal relationships that lead to positive outcomes and successful business results. Perform other duties as directed by the functional manager REQUIRED KNOWLEDGE, SKILLS AND ABILITIES Strong customer-focus perspective with skill to guide customer communications and customer management. Self-driven; keen attention to detail to anticipate, address and/or escalate issues, with aptitude to embrace and be conduit for change. Project and task management capabilities to meet/exceed deliverables. Effective problem-solving skills as well as ability to proactively identifying process improvements which reduce operational costs and maintain quality. Quality conscious with high degree of ethics and integrity carrying out duties in accordance to laws, regulatory standards, and with company policies and procedures. Computer proficiency including word processing, spreadsheet and Power Point applications. Good understanding of medical, clinical research, and Lab Data Management process and terminology. Knowledge on elicitation of the data requirements and authoring specifications. Knowledge on various regulatory requirements such as FDA, ICH, ISO HL7, and GLP (Good Laboratory Practices)   MINIMUM REQUIRED EDUCATION AND EXPERIENCE Bachelor’s degree or educational equivalence in computer/life science or related field with relevant work experience; or equivalent combination of education, training and experience.  
IQVIA Brighton, UK
01/04/2019
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. 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 Data Scientist will be playing a vital part in an agile Data Science team. The Data Science team consists of 8 people, where you will be involved in creating E360’s core health analytics software, further enhancing life sciences and healthcare research . What to expect Development of data science methods within a best practice software engineering framework using Python Working alongside other team members such as Product Owners and Software QA to write robust and scientifically credible data science routines 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 Very friendly and informal working environment Regular Innovation weeks – Where the data science and development teams are given the chance to work on their own projects and showcase their work at the end of the week Our ideal candidate will have; At least an MSc or PhD in Statistics, Data Science, Mathematics etc Experience in a commercial data science environment Experience of writing production quality code (not necessarily in a data science context) Understanding of full stack web development, ideally with some hands on experience 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 Bonus points for; Experience working in an agile development structure Experience analysing datasets in Python Experience of working with healthcare data Experience working with software development tools such (Git, JIRA etc) 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. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
IQVIA London, UK
18/03/2019
Full time
This AdTech company, in the media arena, can proudly claim to work some of the biggest and most loved brands in the UK and is looking to better utilise its data assets for commercial gain. They have direct access to a broad portfolio of datasets and a culture of fast-paced technology delivery thus are seeking a Data Engineer to help them build and operate large-scale data pipelines that are capable of withstanding their growth ambitions.  Role & Responsibilities  You’ll be working within the Data Team, who currently provide data and analytics to many teams across the organisation.  Assist the team to expand their Big Data analytics and streaming capabilities.  Manage increased throughput and complexity.  Help set the direction for how data pipelines are built and deployed in general.  communicate with a range of technical and non-technical stakeholders around the business  Keen to try new technologies and concepts  Experience & Skills Required  Demonstrable experience as a data or software engineer in a highly scalable environment such as messaging or streaming highly desirable.  Have experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets  Confidently monitor data reliability and infrastructure performance  Undertake agile methodologies and continuous delivery alongside large-scale streaming data (Kafka, Kinesis, etc.)  Proficiency of the following advantageous:-   Cloud services (ideally AWS)  Programming languages (Python, etc.)  Big Data systems (Spark, Hadoop, Pig, etc.)  SQL databases (Relational, Snowflake, etc.)  Structured or custom ETL management (Airflow, Luigi, etc.)  If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.  Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
IQVIA London, UK
18/03/2019
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
25/02/2019
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. The Company IQVIA - the Human Data Science Company - is grounded in three interconnected forces: human data, human science and data science. IQVIA contributes to the advancement of human health globally through timely research, insightful analysis and scientific expertise applied to granular non-identified patient-level data. Fulfilling an essential need within healthcare, IQVIA delivers objective, relevant insights and research that accelerate understanding and innovation critical to sound decision making and improved human outcomes. With access to institutional knowledge, advanced analytics, technology and unparalleled data, IQVIA works in tandem with a broad set of healthcare stakeholders to drive a research agenda focused on Human Data Science, including government agencies, academic institutions, the life sciences industry and payers. IQVIA has approximately 55,000 employees in more than 100 countries, all committed to making the potential of human data science a reality. The Team IQVIA Real-World & Analytics Solution (RWAS) teams work with clients worldwide to help them use complex, clinically rich, patient-level healthcare datasets to answer their specific research questions, make more informed decisions, and deliver results. We are collaborative, intellectually curious, entrepreneurial, and constantly looking for opportunities to harness the value of Real-World Evidence (RWE) in a constantly evolving industry. Specifically, you will be working in the RWAS Enriched Studies Development Team. The RWAS Enriched Studies Development Team is responsible for advancing the IQVIA capabilities to deliver Enriched Studies through targeted internal investment activities, client business development and oversight for study delivery. Enriched Studies integrate two methods of data collection (primary and secondary) to build a comprehensive patient record and increase both the availability and depth of researchable data. Enriched Studies are innovative in their use of secondary data (e.g. electronic medical records, health claims) and provide a number of benefits to our clients.  Enriched Studies are typically deployed as a method for delivering observational studies, although are also being explored for delivering clinical trials as well.  The content area of the team encompasses a broad range of activities related to Enriched Studies: Geographic data source and technical assessments to support capability expansion. Enhancing data management and analysis capabilities of both primary collected information and existing databases. Proactive business development, including development of proposals. Supporting multi-country study delivery. Development of standard processes. Technical enablement of our study delivery Role We are looking for a Business Analyst who will support the Enriched Studies investment and technical initiatives focusing on business requirements documentation, test plan documentation and execution, and general analytical support. As a Business Analyst you will join a high profile, talented and fast paced team supporting the technical enablement of the delivery of Enriched Studies. You must thrive in a collaborative environment where you can liaise with business functions, Enriched and technical teams in developing business process flows and translate into technical requirements.  Assignments will range in complexity and may require working across business units. The successful candidate will be able to achieve professional development and learning, which includes skills specific training courses as well as on-the-job training.   Our ideal candidate is someone who has demonstrated success in a business analyst role producing effective detailed requirements documentation, traceable test plans.  We have a strong entrepreneurial culture, and seek an individual who can excel in a growth-oriented, global business. The role is a global role but based out of the UK office.  Principal Accountabilities Elicit, analyze, validate, specify, and verify business requirements for initiatives involving healthcare data and technology Create Business Requirements Documents (BRDs) and traceable test plans Collaborate with supervisor, subject matter experts, product owners to find the best approaches to address requirements Define and document business processes Conduct and/or synthesize market research Track issues and resolution Liaise with the Technical teams and business stakeholders in translating business requirements into technical requirements following the Agile Scrum methodology Support testing as a proxy for business and analytical customers when needed. Work independently and collaboratively as required Support business case development Provide project management office support to the Project Management Office Lead in the design and execution of the Enriched Studies investment strategy as directed, e.g. tracking resource assignments, reviewing project documentation, tracking project progress and completing project reports. Desired Skills and Experience Demonstrated success in preparing business requirements documentation for healthcare related projects Mastery of MS Office tools  Understanding of Software Development Lifecycles (SDLC) Experience working closely with project managers Exposure to healthcare data (i.e. claims, EMR, longitudinal prescriptions) desired Sound analytic, problem solving, and quantitative skills Strong desire to learn Effective oral, written and communication skills Good organizational skills and the ability to handle multiple activities with changing priorities simultaneously Knowledge of the healthcare industry landscape, including bio-pharma Proven team player; strong relationship building skills with internal and external stakeholders. Experience in global roles; understand cultural sensitivities and time zones preferred Experience in Agile Scrum methodology an advantage, but not mandatory Qualifications  Bachelor’s degree Minimum of 5 years’ experience working in an analyst role in healthcare, healthcare technology, or big data sector Some project management experience or training is desired, but not essential 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™