Senior Manager, Clinical Analytics Engineering
About Astellas:
At Astellas we are a progressive health partner, delivering value and outcomes where needed.
We pursue innovative science, focussing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under-served disease areas and in life-threatening or life-limiting diseases and conditions.
We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.
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.
We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real-world evidence to inform the best decisions for patients and their care-givers, to ensure the medicines we develop continue to provide meaningful outcomes.
Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.
The Opportunity:
As a Clinical Analytics Engineer at Astellas, you will be responsible for providing programming and analytic support for the development and testing of applications to answer disease, health, and value questions across Astellas.
These applications will be integrated into a larger platform to efficiently conduct analysis on Real World Data (RWD) and other data sources.
This role reports to the Clinical Analytics Engineering Lead.
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.
- Automating 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 organisational, 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 clearly communicate statistical and epidemiological issues and methods to statisticians and non-statisticians)
- Work experience in support of biopharmaceutical R&D activities
- Knowledgeable in 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 EU or Canada.
- This position is 100% home/remote based.
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.
