AstraZeneca is a leading global biopharmaceutical company, headquartered in Cambridge and with a deep-rooted commitment to the UK. A global pharmaceutical company with a major UK presence. Our purpose is to push the boundaries of science to deliver life-changing medicines. The best way we can help patients is to be science-led and share this passion with the scientific, healthcare and business communities of the UK.

 

AstraZeneca Cambridge, UK
12/02/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions. You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists. If you would like to discuss flexible working or part-time working, we would be happy to hear from you. Key responsibilities Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions. Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform. Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs. Challenge the norm, and push the team to forget the easy route and go after the impossible. Lead technology processes from concept development to completion of project work you're doing. Desirable technical skills & experience Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark), Experience of ETL techniques and tools (we currently use Talend for ETL), Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI), Experience of building scalable high availability analytics solutions, Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL), Experience of building unit tests, integration tests, system tests and acceptance tests, Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), Experience of data analysis – profiling, investigating, interpreting and documenting data structures, Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema), Agile practices, especially being a SCRUM Master, AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca Cambridge, UK
12/02/2019
Full time
At AZ we push the boundaries of science to deliver life-changing medicines. Science and Enabling Units IT actively partners across AZ Business stakeholders to deliver cutting-edge IT capabilities closely aligned with AstraZeneca’s bold ambition - improving the lives of millions of patients across the globe. The ambition of Science and Enabling Units IT is to provide world-class expertise and leadership in technological solutions, enabling the “Best IT for the BioPharma Industry”. We define “best” as agile, fit-for-future capabilities that make it possible for our scientists to discover and develop life-changing medicines. Our goal is to position IT as a strategic-enabler and we do this by focusing on close business partnership, defining and executing business-aligned strategies, and hiring and developing the best IT talent in the industry. Your career at AstraZeneca will allow you to use leading edge technology to roll back the frontiers of science, delivering next-generation solutions, driving transformation as strategic business partners and enabling breakthrough drug discovery. It means a career that’s focused on improving lives across the world – both for our workforce in 90 countries and for the wider global population. You could be implementing state of the art cloud or AI technology, and thinking about the ‘Work and Workforce of the Future’ and how technology will support an even more diverse workforce including robots, the crowd and gig workers. You might be involved with the systems that enable our Legal team to protect the patents on our life-changing medicines. Or you could be capturing the data that enables us to demonstrate we do business in the right way, and continue to push the boundaries for the benefit of our planet and patients. You’ll harness the latest advancements in technology to deliver against this diverse portfolio and develop our capabilities for the future. This will see you working across a variety of exciting business functions and thriving in our diverse team and with a culture of opportunities. What you'll be doing You'll work in Enabling systems IT as a Senior Business Analyst Team Lead. You will have an opportunity to lead change in our financial, HR, Legal and Global Sustainability systems. You will lead a small team of business analysts who work directly with our partners across a wide range of enabling systems. Your team will be focused on a wide range of financial, human resource, legal and global sustainability systems. You will have the opportunity to help continuously improve our ways of working and directly influence the performance and development of our team. As well as leading the Enabling Units BA team, your role will also have a focus on our Finance systems. Finance as a business function have a vision to be “Trusted Partners, Building Value, Leading Change”. They are contributing to the AZ strategy by providing insights to enable clear portfolio and pipeline decisions. They are actively identifying in-market opportunities and driving investment strategy alongside simplifying their financial processes and enhancing productivity. Finance is helping our company to achieve Group Financial Targets by driving financial improvement plans, improving profitability and increasing cash flow. You'll be based in Cambridge, the hub of Science and Technology and will support our Enabling capability across our three core sites in Cambridge UK, Gothenburg Sweden and Gaithersburg US. An idea may start on one site but our organisation is expecting global solutions that scale; on any business case or a project you'll be part of making that happen. In our IT organisation, you will: Lead a small team of experienced Business Analysts (5-10) Be part of a larger team of Business Analysts across Science and Enabling Units Work with your Business Analysts to build out and mature the BA Capability Work with Portfolio leads, Business Engagement teams and Lead Architects to ensure portfolios are aligned to our strategy and will be impactful to our business Understand needs and partner on solutions with the business for the Finance function Partner with wider IT Service/DevOps teams to build sustainable services Strive to be make us more agile in the fast-changing digital landscape You will be part of a leadership team predominantly based in Cambridge A bit about you: The BA role sits at the intersection of people, business and technology. We want someone who can Work independently and deliver value to Finance as a Business Analyst Supplement the above with leading and developing an engaged Business Analysis team that can excel Embed value into what we commit to delivering both at a project and portfolio level Come join our team as a key leader in transforming Business Analysis within IT for Finance and the wider Enabling Units in ways the biopharma industry has never seen. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca Cambridge, UK
15/01/2019
Full time
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a rare workplace culture that encourages innovation and partnership, employees are empowered to express different perspectives and are made to feel valued, energized and rewarded for their ideas and creativity. Department – Data & Analytics, S&EUIT Science and Enabling Units IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal and Global Business Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico. Data & Analytics provides analytics and data insight services and solutions critical to the Data & AI/ML emerging strategy and mission of S&EUIT and AZ. D&A is organized into teams specializing in Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance. Role The role holder should deliver tangible and measurable value to S&EUIT partners by taking a data analysis role in the delivery of the major D&A solutions. The primary task will be to design and build Global Medical Excellence(GME) end-to-end reporting support system that helps demonstrating execution of clinical strategy. You will be responsible for (i) identifying the source data sources and objects in existing reporting systems; (ii) build mapping and models from existing data sources; and (iii) validating the mappings and models from data hubs by further devising metrics effective in analysis and reporting clinical strategy. Key will be profiling the data to understand data format and quality. Once the data is understood and documented, the data analyst will work closely with Information Architects in crafting the target state model, Engineers in crafting any ETL required, and BAs/business data stewards on quality issues which will be a blocker to the analytics requirements. The DA will be an integral and respected part of the global team, whose input and expertise will be instrumental in ensuring the success of this delivery. The role will invariably be one of a ‘data detective’, understanding where data is in the estate, the suitability of the data to the problem in hand, the restrictions on using that data and documenting to enable re-use. Key Accountabilities Provision of data understanding (structure, provenance, quality) to Info Architects, Data Engineers and Data Scientists to support use in D&A projects. BI or regular reporting experience – demonstrable experience of using data to track and then drive business performance. Evidence that they have built a validated understanding of source systems. Strong SQL skills – especially building customer reports / solutions. DML (Data Manipulation) statements are the priority – it’s an analytical role, not a DBA. Any modelling / data warehouse design experience also a bonus. Work with business & IT partners to understand data requirements in projects Documentation of data in the S&EUIT data lake to support downstream use (Data Dictionary curation) Support the design & testing of conformed data models in downstream analytics applications Support the data preparation, curation and analytical pipeline Testing of data in analytics applications, to ensure data validity and reconciliation to source systems Support the design of data structures for archiving, to optimise both ingest and extraction of data from the archive. Expect the development of domain expertise in sub-domains of the Science & Enabling Unit portfolio – understanding of business process, data flows, data provenance, data restrictions and data use. Support data impact assessments of service or project driven changes to systems. Make recommendations for improvements in our data services, enabling improved data access. Any Salesforce/Veeva experience would obviously be useful but not a requirement provided you can demonstrate the points above. Matrix capability leadership of data analysts offshore – supporting methodology, standard methodology, continuous evolution of capability. Candidate Knowledge, Skills and Experience BI / D&A Data Analysis experience Ideally some domain knowledge (processes & data): Pharma R&D and Clinical WorkflowExperience of working with a range of BI & analytics architectures: traditional warehousing, curation, data mapping, and validation of reporting generated. Experience with & knowledge in key D&A Tools used within AZ: ANSI SQL, Talend Metadata Manager, Talend Data Preparation, Excel VBA Experience with & knowledge of broader base of D&A tools which maybe required: Spotfire, Talend Data Services, AWS Aurora, Redshift, Glacier, Informatica Powercentre, Informatica Data Quality, Informatica MDM, SAP MDM / MDG, Oracle DRM, Cisco CIS, SAP HANA/other appliances/MPP technologies, (etc) Experience and familiarity with Information Architecture models and artefacts. Experience of working with data scientists and their methods: understanding of how data needs to be prepared for use by data scientists. Experience of delivering D&A Solutions within IT projects delivered through Agile and Waterfall methodologies. In addition, you will be expected to demonstrate the following Leadership Skills Business Leadership – ability to partner and collaborate across both IT and Science teams to inform on the best Information Architecture. Attention to detail Influencing and innovation skills Superb communication and facilitation skills AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca Cambridge, UK
14/01/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. Role As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions. You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists If you would like to discuss flexible working or part-time working, we would be happy to hear from you. Location: UK(Cambridge), US(Gaithersburg), Sweden(Gothenburg) Key responsibilities Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions. Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform. Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs. Challenge the norm, and push the team to forget the easy route and go after the impossible. Lead technology processes from concept development to completion of project work you're doing. Desirable technical skills & experience Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark), Experience of ETL techniques and tools (we currently use Talend for ETL), Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI), Experience of building scalable high availability analytics solutions, Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL), Experience of building unit tests, integration tests, system tests and acceptance tests, Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), Experience of data analysis – profiling, investigating, interpreting and documenting data structures, Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema), Agile practices, especially being a SCRUM Master, AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca Cambridge, UK
11/01/2019
Full time
AstraZeneca is one of the world’s most exciting bio-pharmaceutical companies. From scientists to sales, lab techs to legal, we’re on a mission to turn ideas into life-changing medicines that improve patients’ lives and benefit society. We’re constantly moving forward as a company – agile and purposeful in our work. We are currently recruiting for a Global Head of Data Engineering, within our Data and Information Engineering (D&IE) team. The Data and Information Engineering team is responsible for the creation, implementation and refinement of delivery standard methodologies for data and Business Intelligence (BI) applications across AstraZeneca. With user self-service as a main objective, D&IE works with industry guides to keep tabs on data technology advancements and develop a roll-out strategy which includes adoption and training. Data solution governance across the Enterprise Data and Analytics (EDA) programme in partnership with global and local stakeholders, is fundamental to our remit. About the Role Collaborating with the Head of IT Data Enablement, the D&IE Lead is accountable for designing and delivering AstraZeneca’s and ensure the propagation of knowledge as well as implementation of standards. This role is focused on delivery of data management and business intelligence solutions for improved data operations while building strong relationships with data partners. The role requires an inquisitive and innovative approach to solving information management and data technology issues. You will lead the D&IE team in all its activities and provide mentoring and guidance on data engineering to the team members; You will be responsible for the design patterns established and used across the enterprise, leads the central repository of reusable DI components. You will ensure CFIT projects are maximizing the use of existing DI components in CFIT projects Lead the development of the strategy, delivery framework and training practice for improved and frictionless data operations; You will lead the creation of a centralized management function to administer the ingestion, MDM, and curation processes into the enterprise and CFIT data lake environments. Develop and lead practices, standards and guidelines; Develop an information access practice to support business understanding of data assets and how it can be applied to achieve business goals; Establish data engineering performance metrics for tracking the quality and efficiency of data solutions and continuous improvement Partner with enterprise architecture and other meaningful technology groups for developing road-maps and necessary delivery governance practices to enable business goals; Provide data and business intelligence expertise to business partners for annual work programmes and long-term business objective realisation; You will Partner with the Data and Information Governance team to ensure that data governance standards are adhered to in all data and business intelligence solutions; You will lead the team and partner relationships to effect development and implementation of data management practices; You will lead the data engineering solution forum demonstrating the required leadership to increase the business value of data and information assets; Assist the Head of Data Enablement to: Reduce the cost and improve the efficiency of data solutions and build an elite data practice; Partnering with the business to continuously improve data delivery and data asset utilisation; You will partner with the business and D&IG to demonstrate / implement data search capabilities and metadata solutions; Lead efforts to optimise the data management and business intelligence landscape. Deploy tangible, business enhancing solutions demonstrating Agile methodologies Skills and Knowledge - Essential Possess a blend of experience in good information practice and business processes; Experience of global working environment and leading across cultures Experience in industry data innovations and technology agnostic data engineering practices Experience in the development and optimisation of information management delivery practices and data architectures Evidence of leading and developing innovative solutions Experience with developing global data practices and partnering with stakeholders to implement these practices Experience of leading data solutions architecture and implementation across a wide range of on premise and cloud solutions Experience leading multi-stakeholder solutions forums, representing multiple business units across multiple countries Experience in collecting complex business requirements translating into data solutions for meeting business needs Solid grasp of data governance and metadata practices Validated social, communications, assertiveness and negotiation skills Strong leadership and interpersonal skills at all levels Influencing skills to enable effective management of internal partners Demonstrable record of success in process and/or project management Validated change management skills Evidence of critical thinking, goal setting and delivery, and long-range planning Experience in leading delivery-focused high performing teams, providing strategic direction, leadership and motivation Experience in developing Data and Information delivery standards / information management delivery frameworks, rules, standards and guidance Experience with the implementation of data standards in data solutions Expert knowledge of data and information engineering System Development Life Cycles (SDLC), data governance, Information Life Cycle Management (ILM), Master Data Management (MDM), and data security standard methodologies including policy-driven data security methods and tools Authoritative knowledge of electronic records rules and regulations, applied to information management practices in the pharmaceutical industry or similar global, regulated industry Knowledge of data taxonomy and metadata management implementation practices and tools Ability to influence and persuade subtly, to obtain desired outcomes while maintaining effective, positive, organizational relationships You will have confirmed leadership ability motivating and empowering others to accomplish individual, team and organizational objectives Ability to work with multi-functional working groups across multiple countries Proven record of team leadership, capability building and ongoing development University Degree in IT, Business Administration, Information Science or related discipline or extensive experience in information related role at a leadership level Skills and Knowledge - Desirable Experience in establishing global centres of perfection in the information management related field Ability to lead expectations and solutions across complex groups Experience leading data solutions and data architecture teams Validated ability to explain in a simple way, complex/technical concepts to business leaders Experience creating and delivering training and education Experience of business process analysis and improvement, preferably on global scale Implementation knowledge of data quality data governance solutions AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or reassignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law
AstraZeneca Royston, England, United Kingdom
02/01/2019
Full time
At AstraZeneca, we’re not afraid to do things differently. We’re demonstrating we are a new kind of organisation, resetting expectations of what a bio-pharmaceutical company can do and following the science. We’re continually exploring new ways to work, pioneering cutting edge approaches and bringing diverse teams together to deliver exceptional results which are changing the way diseases are treated. At AstraZeneca, we don't follow the crowd and we don’t expect our people to either. To develop life-changing medicines and make a difference to patients we approach problems in a different way – agile and nimble, and focused on what our people need to make ground-breaking discoveries and accelerate the development and launch of new medicines. The decisions that AstraZeneca makes throughout its value chain are best when informed by data. As part of the Global Medicines Development (GMD) Transformation initiative, AstraZeneca is investing in data science to drive efficiencies, optimize our workflows, and improve our decision making. GMD started its transformation journey in 2016, launching several programmes which are already achieving significant benefits. GMD will accelerate its transformation along four strategic areas, making us more efficient, faster, and delivering medicines at even higher quality by: Innovating the approach to drug development programmes (e.g., automated and digitized patient and investigator data collection, eliminating manual data handling post data capture) Laying the foundation for new evidence generation beyond RCTs (e.g. using registry data) Automating manual processes by more than 50% to free up time for scientific activities (e.g. automated case handling, auto population of submission relevant materials) Making a step change towards higher-quality and more predictive decisions based on integrated data as a foundation (e.g. simulate trials and select sites and patients based on predictive analytics) The Advanced Analytics Centre (AAC) is a GMD hub of data science experts, partnering with Clinical Operations so that we can all achieve more together. We aim to transform our site and country selection process, making it more effective and efficient by integrating historical data compiled from multiple data sources, with local insights from Marketing Companies, to inform study design planning scenarios, and refine trial execution. We will use advanced predictive techniques and fit-for-purpose decision frameworks. In parallel we will establish real-time in-depth multivariate statistical metrics and visualizations for in-flight clinical trial monitoring We need your insight, expertise and leadership to help craft a future in which data will exponentially increase in volume, be more accessible and the opportunities for value creation will be endless. That will require state of the art analytical methodologies to optimize decision making. Principal Data Scientist will: You will provide assistance on overall strategy and management of Data Science activities You will advise on and investigate the feasibility of data science solutions and ideas You will utilise your expertise to establish standards and the best data science practices Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements Lead Change management related to advanced analytics, using methodologies as agreed by change management lead Conduct hands-on data mining/machine learning projects based on specific datasets and customer problems You will capture feedback from customers to adapt approaches to new insights based on data findings Clearly and objectively communicate results, as well as their associated uncertainties and limitations Develop and pilot analytical tools, algorithms and methods in collaboration with other groups Constructively collaborate with a diverse set of users (global functions and local marketing companies) and partners, enabling effective consensus, conflict resolution and alignment to project goals Collaborate with the design and planning workstream to agree and deliver mutual goals Develop, test, implement and refine advanced analytics methods across available clinical study and real-world data to improve our ability to identify, select and work with the right sites for a specific protocol Define and establish a decision framework that facilitates clear decision making, taking into account all meaningful data, information and expert knowledge Essential Skills MSc or PhD statistics, mathematics, informatics, computer science, the physical sciences or related subject Experience leading machine learning algorithmic development and tools Experience Coaching junior scientists Deep understanding of life sciences, with a preference for clinical drug development and the pharmaceutical environment Computing skills: scientific computing and scripting (R, Python, Perl, Jupyter, Hadoop, AWS), software development, database design and coding Understanding of algorithm design, development, optimization, scaling and application Experience in data mining; machine learning; statistics and visualization Customer focus - dedicated to meeting the expectations and requirements of internal and external clients Integrity and trust -- unwavering commitment to "doing the right thing" Experience of end-to-end software tool/solution development and lifecycle management ideally including the RFI/RFP process, and experience with SCRUM/agile is desirable To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law
AstraZeneca Royston, England, United Kingdom
02/01/2019
Full time
At AstraZeneca, we’re not afraid to do things differently. We’re demonstrating we are a new kind of organisation, resetting expectations of what a bio-pharmaceutical company can do and following the science. We’re continually exploring new ways to work, pioneering cutting edge approaches and bringing diverse teams together to deliver exceptional results which are changing the way diseases are treated. At AstraZeneca, we don't follow the crowd and we won't expect you to either. To develop life-changing medicines and make a difference to patients we approach problems in a different way – agile and nimble, and focused on what our people need to make ground-breaking discoveries and accelerate the development and launch of new medicines. The decisions that AstraZeneca makes throughout its value chain are best when informed by data. As part of the Global Medicines Development (GMD) Transformation initiative, AstraZeneca is investing in data science to drive efficiencies, optimize our workflows, and improve our decision making. GMD started its transformation journey in 2016, launching several programmes which are already achieving significant benefits. GMD will accelerate its transformation along four strategic areas, making us more efficient, faster, and delivering medicines at even higher quality by: Innovating the approach to drug development programmes (e.g., automated and digitized patient and investigator data collection, eliminating manual data handling post data capture) Laying the foundation for new evidence generation beyond RCTs (e.g. using registry data) Automating manual processes by more than 50% to free up time for scientific activities (e.g. automated case handling, auto population of submission relevant materials) Making a step change towards higher-quality and more predictive decisions based on integrated data as a foundation (e.g. simulate trials and select sites and patients based on predictive analytics) The Advanced Analytics Centre (AAC) is a GMD hub of data science experts who develop and deliver ground breaking methods which address critical scientific and business questions in drug development, partnering with Clinical Operations so that we can all achieve more together. We aim to employ advanced predictive techniques and fit-for-purpose decision frameworks. In parallel we will establish real-time in-depth multivariate statistical metrics and visualizations for in-flight clinical trial monitoring We need your insight, expertise and leadership to help shape a future in which data will exponentially increase in volume, be more accessible and the opportunities for value creation will be endless. That will require state of the art analytical methodologies to optimize decision making. Senior Data Scientist will: You will conduct hands-on data mining/machine learning projects based on specific datasets and customer problems You will seek feedback from customers to adapt approaches to new insights based on data findings Clearly and objectively communicate results, as well as their associated uncertainties and limitations You will be responsible for developing and piloting analytical tools, algorithms and methods. Constructively collaborate with a diverse set of users (global functions and local marketing companies) and partners, enabling effective consensus, conflict resolution and alignment to project goals You will partner with the design and planning workstream to agree and deliver mutual goals Develop, test, implement and refine advanced analytics methods across available clinical study and real-world data to improve our ability to identify, select and work with the right sites for a specific protocol Establish a controlled learning environment where model iteration and continual improvement is normal practice Define and establish a decision framework that facilitates clear decision making, taking into account all meaningful data, information and expert knowledge Essential Skills MSc or PhD statistics, mathematics, informatics, computer science, the physical sciences or related subject Experience in data mining; machine learning; statistics and visualization Computing skills: scientific computing and scripting (R, Python, Perl, Jupyter, Hadoop, AWS), software development, database design and coding Understanding of algorithm design, development, optimization, scaling and application Experience in data mining; machine learning; statistics and visualization Customer focus - dedicated to meeting the expectations and requirements of internal and external customers Integrity and trust -- unwavering dedication to "doing the right thing" Experience of end-to-end software tool/solution development and lifecycle management ideally including the RFI/RFP process, and experience with SCRUM/agile is desirable To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law
AstraZeneca Cambridge, UK
31/12/2018
Full time
AstraZeneca’s Innovative Medicines & Early Development organisation (IMED) is seeking a leader who will position data, AI, digital and hypothesis free discovery at the heart of drug discovery and development.  We are looking for a talented individual to come in as the most senior IMED Data Science leader to drive and shape this change. This is an unique role with responsibility for creating and maintaining a sustainable group to support our ongoing growth and the rapidly changing drug discovery and development pathway. The Head of IMED Data Science is accountable for building a leading AI platform including knowledge graphs and defining the bioinformatics expertise critical to the support of our therapy areas and genomics initiative. The successful individual is likely to have proven expertise in defining data strategies and delivering capabilities covering: data generation, management & use data mining artificial intelligence & cognitive computing bioinformatics mathematical and computational methodological expertise The jobholder is responsible for providing internal and external scientific, technological, computational expertise and strategic thinking for drug discovery & development programmes, operational and business problems to enhance the utilization and exploitation of data & analytics in evidence-based decision making.  The jobholder is accountable for the initial evaluation of the advances but also the solution delivery to the organisation to ensure true business benefit.  The role will need to establish a cross IMED data strategy including the organisation of key data types and the standardisation and deployment of core metadata and masterdata standards defining these data types, aligned, where appropriate, with wider Science, Enterprise and external data standards and ontologies.  The role will need to establish and operate the appropriate access, retention, privacy and use controls around IMED data.  In addition, a data quality framework for adherence across IMED processes, involving data generation and processing will need to be established. The role is accountable for driving the identification, development and implementation of cutting-edge advances in the various fields of data science, AI, Machine Learning and Knowledge Management.  The role is also accountable for recruiting, developing and integrating expertise to support these activities on a global basis within IMED and will have well-recognised external presence in at least one domain. The job holder must have credible and wide-ranging external profile and ability to attract and retain talent in this extremely niche and highly competitive area.  The pace of innovation in data and analytics is substantial, and the job holder is responsible for ideation and execution of innovative projects that drive significant value into the IMED and broader AZ organisation.  To that end the successful candidate must be adept at forging collaborative relationships and integrating data strategies across all areas of IMED, IT and wider AZ organisation.  Accountabilities Reporting to the EVP, IMED and Business Development, the IMED Head of Data Science and Artificial Intelligence will be accountable for: Set the direction for the IMED from a data perspective as the senior most Data Scientist Sit on the IMED Leadership Team and reports directly to EVP, IMED and Global Business Development Direct artificial intelligence and machine learning approaches that aid our scientific and clinical problem solving Define an IMED data strategy that encompasses data vision, engineering, process architecture, ontology, analytical platforms and transfer/reinforcement frameworks. Evaluation of internal and external technological advances steering solution delivery to the organisation to ensure true business benefit Collaborate, influence and learn from non-IMED science and IT teams in the delivery of data science Collaborate with Science IT in the delivery of D & A solutions, Data Operation services and ensuring deployed information architecture is in line with IMED data standards and requirements Build a strategic data science network crossing leading external institutes and influencing technological innovation towards IMED value Grow and develop a team of talented data science/data governance hires - attract and retain top-tier talent in statistics, informatics, mathematics, data mining, data sciences and computational sciences. Leads the IMED Data Science Centre of Excellence, and is ‘functional’ lead of data scientists resident in other IMED areas, ensuring functional excellence practices for the data science & bioinformatic staff in the IMED who represent a niche and highly difficult group of experts to attract and retain Develop the IMED data governance approach alongside the wider AZ requirements Work with IMED leaders to ensure that resource and expertise are appropriately deployed to provide maximal impact to the business across multiple areas Lead and project manage change initiatives relating to new approaches and methodologies. Contribute to enterprise-wide collaborations Skills and Knowledge  Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, physics, computer science, OR a science field with direct statistics application) Reasonable industry experience in data science and machine learning, 5+ years of industry data strategies, architectures, standards and business control of data Credible and wide-ranging external profile.  Strong awareness of and understanding of R&D business priorities, with the vision and ability to apply new computational and technological methodologies and approaches to solve scientific problems, operational and business problems in AZ 4+ years of experience managing data science teams, incl. managing/grooming managers beneath you 3+ years of experience partnering with executive staff on data topics Evidence of successfully scoping, delivering and selling data strategies in a way that shifts the agenda of a large organization Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Extensive experience of deep learning and natural language processing techniques Extensive experience of FAIR data practices and structured and unstructured infrastructure Extensive experience in the Biopharmaceutical or other relevant Healthcare industry, working in Informatics or related discipline, with proven record of delivery Broad and comprehensive understanding of drug discovery & development, external data sources and methodologies for the most up to date approaches for evidence generation For more information about the position please contact the IMED Talent Scout, Tarquin Bennett-Coles on tarquin.bennett-coles@astrazeneca.com with your application no later than January 30th, 2019 . For more information about life in Gothenburg visit www.movetogothenburg.com . We aim to be flexible, responsive, open and honest and look for people from companies who share our collaborative spirit and high scientific standards. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca Cambridge, UK
31/12/2018
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is reducing. We have a strong pipeline of potential new medicines, so we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of an outstanding place to work is one in which all our employees are engaged and encouraged by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. Role We have an exciting opportunity for a talented individual to join our growing Analytics team which is delivering industry-leading analytics solutions to global functions in AZ. The role will partner with the Global Analytics Insight (GAI) function to help them deliver their remit of providing forecasts, competitive intelligence and insight. The GAI function is organized around the therapy areas of focus for AZ: oncology, cardiovascular and metabolism diseases, respiratory and infection and neuroscience. The ideal candidate will possess a blend of mathematical expertise, computational science skills, strong communication skills and experience of successfully applying data science in a commercial environment. This individual will deliver tangible value to the the GAI function using statistical analysis, machine learning or other methodologies with market research and real-world data (RWD). You will be able to manipulate and prepare data (structured and unstructured) prior to analysis, develop advanced modelling algorithms, present the findings and bring the insight to life. You could be developing a patient journey using RWD, forecasting sales trends or predicting a physician segmentation. Key Accountabilities Establishing strong working relationships with the Global Analytics and Insights team to develop an in-depth understanding of business priorities and early insight into changing needs Translating unstructured, complex business problems into the appropriate model and algorithm solutions Developing a robust understanding of relevant AZ data sources and their provenance, quality and structure Working with engineering and architecture to support large scale data preparation, the optimization of analytics platforms and the industrialization of proven analytics methods Working with suppliers as needed to augment the AZ capability in analytics Undertaking business analysis and business process analysis as part of solution design process Being an active member of the Analytics team. You will benefit from, and contribute to, our expanding bank of Data Science algorithms and work efficiently with our data science workstations. You will get involved in testing and assessing the quality of new tools. It’s also likely you’ll get involved in team recruitment, training provision and coaching Developing, maintaining and applying ongoing knowledge and awareness in trends, best practice and new developments in analytics and data science Ideal Candidate Knowledge, Skills and Experience Commercial experience with practical examples of success in implementing data science PhD or MSc in Computer Science, Statistics, Operations Research, Mathematics or related quantitative field Scientific background and understanding Expertise in machine learning using unsupervised and supervised methods Knowledge of analytical techniques for deriving knowledge from unstructured text Use of Data Science Modelling Tools eg. R, Python, Hadoop, Spark, SAS and Data Science Notebooks (e.g. Jupyter) Experience and knowledge of visualization tools (e.g. R, PowerBI, Spotfire) and ability to tell a story with the data Data manipulation/preparation skills: Eg. SQL, Python, VBA Sufficient knowledge of the oncology domain to enable the individual to have credibility with the business and work independently with relevant data sources, systems and tools to enable project progression Ideally, hands-on experience of interrogating real-world datasets to gain insight Sound understanding of market research, forecasting and competitive intelligence in a commercial environment Ability to explain complex methods and techniques to a non-technical audience In addition, candidates will be expected to demonstrate: Project delivery and Business Analysis experience Influencing and innovation skills Good communication and facilitation skills with the ability to work with others to achieve objectives Good written and verbal skills, fluent English. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.