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, England, UK
23/04/2019
Full time
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.  Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.   We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change.  We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine.  Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.  Minimum Requirements: BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar). Relevant work experience, including full time industry experience or post-doctoral research. Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning. Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning. Programming proficiency with Python or R; version control (Git/Bitbucket). Experience contributing to the research community through publication and conferences. Experience working with biological or health data e.g. genomics. About the job In AstraZeneca Oncology our data scientists are embedded throughout our research organization.  As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning.  We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.  Typical research will focus on applying machine intelligence, natural language processing and deep learning for: Feature engineering/extraction for genomics, CRISPR, and phenotypic assays. Representation and modeling of multi-modal patient data for precision medicine. Retrieving and harnessing prior-knowledge to augment machine intelligence. The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community.  You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field.  You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries. You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery.  You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
AstraZeneca Cambridge, UK
23/04/2019
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 extremely 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 inspires innovation and collaboration.  Our vision of a great place to work is one in which all our employees are engaged and inspired 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. Lead a team of data and reporting engineers focused on developing cutting edge 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 shaping 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 deliverables. 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, 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, 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
17/04/2019
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 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 inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and passionate about 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. Manage 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 deliverables. 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 Macclesfield, England, United Kingdom
14/03/2019
Full time
Pharmaceutical Sciences   at AstraZeneca is developing a   digital transformation   strategy to drive innovation, optimization of the drug development process and   data-driven decision making . We are now recruiting two highly skilled and motivated scientists to specialise in   the application of artificial intelligence (AI) and machine learning (ML)   in the Early Chemistry Development (ECD) function within the Pharmaceutical Sciences function. One role will focus on   synthesis planning   and one role will be a   data scientist in process design . At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. The Pharmaceutical Sciences’ mission is to transform molecules into investigational medicines, meeting the unmet needs of future patients. Our portfolio of projects covers all AstraZeneca’s therapy areas, spanning traditional small molecules, proteins, oligonucleotides and RNA based therapeutics. The ECD group is a multidisciplinary function comprising chemistry, analytical, biopharmaceutics, solid state and predictive sciences. We provide input into compound design & selection, as well as API route and process design from discovery up to and including Phase II clinical studies. As a Senior Scientist/Associate Principal Scientist within the Computational Pharmaceutics team, you will lead scientific development in one of following areas. Synthesis planning:    Developing synthesis planning approaches for route selection and process design using AI & ML approaches.  This role is focused on reaction optimization and route design to support drug development. The role will exploit internal and external databases to develop route selection workflows optimized for AstraZeneca chemists. The role is placed either in Macclesfield (UK) or in Gothenburg (Sweden). Data scientist for process design :    Working with the Pharmaceutical sciences community to adopt a data-first culture, recognizing opportunities to utilise AI & ML to generate knowledge and innovation and work alongside scientific experts to design projects to optimize underlying data structure. The role will focus on data extraction, analysis and capture strategies to support data-driven decision making. As the lead Data Scientist in ECD you will maintain awareness of state -of-the art applications of AI and engage with AZ leadership to design and influence strategic decisions. The role is placed Gothenburg (Sweden). Major Duties and Responsibilities In these roles, you will work across the Global Pharmaceutical Sciences departments along with other senior scientists to   pro vide scientific leadership and drive innovation. You will be responsible for engaging with key internal and external stakeholders to identify and validate impactful solutions, through the use of machine leaning, data analysis and statistical techniques. You will be at the forefront of the digital transformation within AstraZeneca and drive the development of the digital transformation Pharmaceutical Sciences strategy. Specific responsibilities include: You will work in chemical development projects, and platform capability teams to identify opportunities to deliver solutions using machine learning, advanced data mining and predictive modelling. Develop novel algorithms, techniques and curate datasets to answer relevant drug development challenges. Impact chemical development projects by efficiently and pro-actively applying machine-learning to route and process design challenges. Establishing academic collaborations to access and drive the development of machine learning to process chemistry. Represent Pharmaceutical Sciences modelling and simulation externally to drive scientific excellence and AstraZeneca’s reputation in the field. The candidate will be expected to plan, write and publish high quality scientific papers. Act as a role model and mentor to scientists with less experience in machine learning and champion FAIR data practices. Develop training material and provide training to AstraZeneca user groups. Requirements PhD in a relevant area e.g. machine learning, computational chemistry, computer science, data science, mathematics or similar and typically with post-doctoral experience. Programming proficiency and experience with relevant software tools such as Python, R or similar), version control (Git/Bitbucket) and database tools. Excellent awareness of recent literature within field of expertise and relevant publication record. Good track record of professional achievement and recognition in own field. Understanding of pharmaceutical R&D and the wider business. Able to think beyond boundaries of own job, challenging status quo and seeking opportunities for business improvement. Capable of making effective decisions, acting courageously and communicating with conviction and inspiration at all levels. Excellent team working, networking, communication and influencing skills. Specific technical requirements Synthesis Planning: (i) Detailed knowledge of a chemoinformatic toolkits, (ii) University level of chemistry will be a minimum requirement. Data scientist for process Design: (i) Broad experience in data science, statistics, data models/structures, machine learning and AI. (ii) A foundation level knowledge of organic chemistry is desirable. If you are interested, apply now! For more information please contact recruiting manager   Anders Broo , PhD on +46 722 108177 Welcome with your application no later than   April 14, 2019 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, England, UK
14/03/2019
Full time
At AstraZeneca when we see an opportunity for change we seize it and make it happen, because an opportunity no matter how small can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.  The   Oncology Bioinformatics   group work within cross-disciplinary drug project teams throughout the discovery and translational pipeline, specializing in NGS and multi-omic data analysis to drive new target discovery, pre-clinical and clinical research.  Excitingly the group is continuing to expand to harness diverse data science within our research, spanning probabilistic and   mathematical   modelling techniques,   machine learning , artificial intelligence (AI), knowledge graphs.  We have a fantastic opportunity for a talented and motivated individual to join the team and apply their mathematical skills to drive innovation in our portfolio, working alongside resident domain expertise and the burgeoning data science   community   across AZ. Main duties and responsibilities: Collaborate with drug project bioscience and translational scientists to understand their scientific and technical challenges and identify where data science can best impact. Collaborate with IT and quantitative science teams to devise innovative data science solutions. Draw actionable insight by developing and implementing ML/AI and mathematical techniques to big data spanning clinical genomics, pre-clinical assays, and published knowledge. Build models predicting new drug targets, biomarkers, and drug combination mechanisms. Publish and engage the AZ and external data science communities. Proactively engage in knowledge and code sharing and peer support. Implement and train our bench community in FAIR data practices to augment AI. Your skills and qualifications will ideally include: Strong quantitative background with a PhD or equivalent (e.g. Master’s degree plus 2 years’ experience) in mathematics, computational statistics, physics, data science, engineering, or similar. Strong applied background in one or more of Linear Algebra, Probability Theory (Bayesian, Gaussian logic etc.), and Optimization techniques. Broad experience in supervised and unsupervised machine learning methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods (probabilistic programming, Gaussian processes). Experience in at least one of the following areas of advanced AI: deep learning, reinforcement learning, natural language processing. Programming proficiency and experience with relevant software tools such as R, Python or MATLAB), version control (Git/Bitbucket), and databases (SQL as well as NoSQL). Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure). Excellent communication and presentation skills. 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.