Job Title

Overview Real World Data Scientist At Astellas, we strive to become a cutting-edge, value-driven life science innovator. This means working at the forefront of healthcare change to turn innovative science into VALUE for patients. Real World Data (RWD) Scientist , Markham, ON, Astellas Canada Real World Data Scientist. From the first day in role, everyone at Astellas has a responsibility for creating a brighter future for patients around the world. We nurture exceptional relationships with our employees to allow them to thrive, foster innovation, and deliver exceptional business results. Our focus is on patients, pioneering innovation, a collaborative culture, and the passion of our people. We are a global pharmaceutical company with a rich pipeline and a patient-centered approach, pursuing scientific progress and meeting unmet medical needs. We are looking for candidates who will thrive in our entrepreneurial and empowering environment where talent and leadership flourish. Do your values align with our Astellas Way - patient focus, ownership, results, openness and integrity? From day one, everyone at Astellas has a responsibility for creating a brighter future for patients. We foster innovation and encourage brave ideas while maintaining accountability and a solutions-oriented mindset. Astellas Pharma Canada (APCA) Real World Data Scientist Description We are hiring a Real-World Data Scientist to join our Real-World Data Science (RWDS) team. You will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. You will also collaborate with RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Responsibilities Execute (program and analyze) observational studies using (mostly in-house) RWD Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation, including protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Follow and participate in the upkeep of best practices related to methods, tools/macros, and standards for data and data analysis Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Qualifications A doctorate or master''''s degree in statistics, data science, pharmacoepidemiology or a similar discipline More than 3 years of pharmaceutical industry hands-on experience in analyzing RWD, including major EHR and claims databases from the US, UK, EU, and/or Japan Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilization, cost, outcomes, and effectiveness Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial Well-versed in data visualization, statistical analysis, and preferably machine learning methodologies Proficiency in planning analyses for non-interventional studies, preferably for primary data collection (i.e., prospective) as well as secondary use of data Committed to seeking innovative methodology to generate data-driven insights Ability to work across geographies with globally distributed teams Self-starting performer with the demonstrated capacity to operate both independently and collaboratively in a fast-paced, team-oriented setting Good communication and collaboration, and experienced working in cross-functional teams Working Environment This position is remote and is based in Canada. Hybrid working solution with flexibility to work from home; hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines. Salary Range $110,000-$160,000 CAD annually per year (final compensation will be determined based on a variety of factors, including but not limited to proficiency levels and organizational equity considerations). The salary range applies to Canada only and does not apply to any other locations outside of Canada. Benefits Medical, Dental and Vision Insurance Generous Paid Time Off options, including Vacation, Sick time and national holidays Registered Retirement Savings Plan Program (RRSP) Company paid life insurance Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions Long Term Incentive Plan for eligible positions Wellness programs Astellas may use artificial intelligence-enabled tools at various stages of the recruitment and selection process. Additional Information Astellas Pharma Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the hiring process. No telephone inquiries, in-person applications, or agencies please. While we appreciate all applications, only candidates under consideration will be contacted. Category Quantitative Sciences & Evidence Generation Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans #J-18808-Ljbffr