DescriptionClinical Analytics Engineering, Senior Manager About Astellas: At Astellas we can offer an inspiring place to work and a chance to make your mark in doing good for others. Our expertise, science and technology make us a pharma company. Our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society. Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners. Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division. Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity. We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership. Our aspiration is to bring the best brains together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit. The Opportunity:As a Clinical Analytics Engineer at Astellas, you will be responsible for providing programming and analytic support for developing and testing applications to answer disease, health, and value questions across Astellas. These applications will be integrated into a larger platform to efficiently analyze Real World Data (RWD) and other data sources. Your role reports to the Clinical Analytics Engineering Lead. Key Responsibilities:
Developing programs that execute analyses on a common data platform for quick, reliable information about patient populations in the US and globally. Designing R shiny applications that are user-friendly and meet customer requirements. Automate application testing and manually complete workflow tests. Reviewing peer’s programming code to ensure high quality and thorough documentation. Collaborating closely with teammates to share best practices and support development. Meeting regularly with internal stakeholders to define requirements and to help them effectively use the tools.
Essential Knowledge & Experience: Experienced programmer in R, Shiny, and SQL. Demonstrable knowledge of common medical code sets, including ICD-10, CPT, and NDC. Experienced with code quality review and testing methodologies. Developed and executed analyses with various types of patient-level RWD data sources, including insurance claims. Familiar with reproducible research practices like version control and literate programming. Experienced in software development lifecycle (SDLC). Preferred Experience: Excellent organizational, people, project, and time management skills. Experienced in working on project teams and managing projects within a matrix environment. Solid oral, written, and presentation communication skills (e.g., able to communicate statistical and epidemiological issues and methods to statisticians and non-statisticians). Work experience in support of biopharmaceutical R&D activities. Knowledgeable in the following areas: OMOP Common Data Model/OHDSI software including ATLAS and HADES / automated testing frameworks /Posit products including Posit Workbench and Posit Connect / AWS Workspace and Amazon Redshift / Agile software development/machine learning and artificial intelligence. Education/Qualifications: Bachelor’s degree in statistics, analytics, programming, or equivalent. Additional Information: This is a permanent, full-time position. This position is based in the EU or Canada. This position follows our hybrid working model. Role requires a blend of home and a minimum of 1 day per quarter in our local office. Flexibility may be required in line with business needs. Candidates must be located within a commutable distance of the office. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
