Manager, Clinical Pharmacology & Quantitative Pharmacology

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The Manager, Clinical Pharmacology & Quantitative Pharmacology (CPQP), position is responsible for individual contribution and/or management support for CPQP data assembly, data analyses/visualization, modeling/simulation (M&S), and document preparation at all Phases of drug development. The focus of CPQP is to propose and confirm the posology for Alexion’s medicines. The incumbent will coordinate multiple projects and be encouraged to complete activities independently, using internal resources, and/or through management of external CROs. The position requires onsite attendance and participation on cross functional drug development teams. Finally, this role is central to strengthening the internal CPQP capability within Alexion by contributing to continuous improvement of function technical skills, computational infrastructure and the strategic use of M&S methodologies across our programs and disease areas.

Key Responsibilities:

• Leading/contributing to CPQP-related projects, including (but not limited to) data assembly/visualization, NCA, population PK/PKPD analyses, clinical trial simulation, and other model-based analyses when appropriate.
• Applying CPQP analysis results to make significant contributions to decision making for key development achievements in collaboration with other quantitative fields.
• Vendor management, when needed, involving initiation and coordination of outsourced CPQP M&S activities.
• Preparing/overseeing preparation of CPQP documents for use in internal CPSS/CPQP discussions, decision making presentations, regulatory submissions.

Essential Education, Experience & Skills:

• PhD or equivalent degree/experience (totalling 10+ years) in a quantitative science
• 1+ years experience in the health or pharmaceutical industry or another industry such as engineering, math/statistics, or computer science.
• Excellent hands-on experience in R (or other data processing/visualization software) and a good understanding of data structures.
• Good hands-on experience in Matlab or Julia, or another programming language useful for performing QSP, PBPK, and AI tasks.
• Well versed at plotting complex data to identify trends important for drug development.

Desired Experience & Skills:

• Experience in the application of mathematical modeling to hematology, nephrology, and/or neurological disorders and rare diseases.
• Familarity with one or more: Python, Java, NONMEM (or other nlme software).

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.