Senior Real World Data Scientist

This is what you will do:

The Epidemiology andRealWorldScience team in Alexion–AstraZeneca’s Rare Disease Unit accelerates patient access to innovative medicines by advancing the scientific use of Real WorldData (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best practices and standards. Building on AstraZeneca’s strong Real WorldEvidence (RWE) foundation and internal data assets, the team is expanding through a dedicated Real World Data Science capability.

Successful candidates will tackle challenging problems with innovative methods to deliver Real World Insights and Evidence for stakeholders in Clinical Development, Regulatory, and Patient Safety. The ideal candidate is a curious,selfdirectedlearner with a proven record of deriving value from routinely collected healthcare or observational data, delivering health analytics across Public Health, Pharmaceutical R&D, Commercial/Payer, and Patient Safety.

You will providemethodsexpertise,leadand support analyses of RWD, and guide study design, data source selection, and guidelines in RWDutilization, emphasizing patient safety. You will also help shape Alexion/AZ’s RWS data strategy by supporting due diligence on datavendors andoffering informatics support for Therapeutic Area data acquisitions.

You willbe responsible for:

• Deliver/Implement and support advanced secondary analyses of data from EMR, claims and primary observational data required by Therapeutic Area (TA) RWE strategies 

• Comfortable working in a rapid analytics environment alongside stakeholders to ideate appropriate/impactful analysis along with implementation 

• Provide clear technical input,optionsand directions to support strategic decisions made by AZ observational study teams on study design, data partnerselectionand guidelines in RWE datautilization

• 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. 

You will need to have:

• Minimum ofmaster’s degree inBiostatistics, Epidemiology, Public Health,Statistics, Mathematics, Data Science, or related field with at least 3 years in the pharmaceutical industry, biotechnology, or consulting environment.  

• The duties of this role aregenerally conductedin an office environment.  As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.  

We would prefer for you to have:

• This is ahands-onrole – so 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 withstakeholders,understand relevant scientific/business challenges at a deepleveland translate into a programme of data science activities to deliver value to the business 

• Hands-on experience with EMR, disease registries, and/or insurance claims databases 

• Experiencewith inclinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/SNOMED) 

• Experience in supporting pharmacoepidemiology studies with proventrack recordof advancing approaches with statistics/machine learning/data science 

• Ability to lead & handle multi-disciplinary data science projects 

• Proficient in SQL  

• Proficient in at least one of R, Python