Senior Real World Data Scientist

The Epidemiology and Real World Science team in Alexion-AstraZeneca's Rare Disease Unit accelerates patient access to innovative medicines by advancing the scientific use of Real World Data (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best practices and standards.

Responsibilities

• Deliver/implement and support advanced secondary analyses of data from EMR, claims, and primary observational data required by Therapeutic Area (TA) RWE strategies.
• Work in a rapid analytics environment alongside stakeholders to ideate and implement appropriate and impactful analyses.
• Provide clear technical input, options, and directions to support strategic decisions made by AZ observational study teams on study design, data partner selection, and best practices in RWE data utilization.
• Monitor work performed by contract personnel and vendors.
• Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.
• Demonstrate best practice in Real World Data Science across multiple domains and/or stakeholder groups.

Qualifications

• Minimum of a master's degree in Biostatistics, Epidemiology, Public Health, Statistics, Mathematics, Data Science, or a related field with at least 3 years of experience in the pharmaceutical industry, biotechnology, or consulting environment.
• Work is conducted in an office environment; employees must be able to use a computer, engage in communications via phone, video, and electronic messaging, solve problems and engage in non linear analysis and dialogue, collaborate with others, and maintain general availability during standard business hours, with or without accommodations.

Preferred Qualifications

• Hands on role - be excited to code.
• Enthusiastic about building on and learning new methods and ways to use real world data to change the practice of medicine.
• Demonstrated ability to build long term relationships with stakeholders, understand relevant scientific/business challenges at a deep level, and translate them into a program of data science activities that deliver value to the business.
• Hands on experience with EMR, disease registries, and/or insurance claims databases.
• Experience with clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/SNOMED).
• Experience supporting pharmacoepidemiology studies with a proven track record of advancing approaches with statistics, machine learning, and data science.
• Ability to lead and handle multi disciplinary data science projects.
• Proficient in SQL.
• Proficient in at least one of R or Python.

We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments and accommodations to help all candidates perform at their best. If you have a need for any adjustments or accommodations, please complete the section in the application form.