Associate

Job Title: Associate

Career Level - C2

Introduction to role

Are you ready to disrupt an industry and change lives? As an Associate, you will be at the forefront of GCC’s Sampling Allocation Service, developing and implementing analytical programs that optimize sampling distributions for AstraZeneca's branded products. This role is both managerial and hands-on, requiring proactive consultation with brand team collaborators and guiding the internal GCC Sampling team to ensure deliverables meet specifications. You'll work with brand teams to understand rules, requirements, and sampling strategies, applying your proficiency across multiple commercial datasets for proper implementation. Your efforts will feed into the sample ordering and distribution system, directly impacting our ability to develop life-changing medicines.

Accountabilities

In this dynamic role, you'll bring to bear your strong analytical skills and excellent communication abilities to forge effective business partnerships that drive tangible business impact. You'll continuously evaluate new quantitative analysis methods and technologies, manage sample allocation priorities across brands and therapeutic areas, allocate resources based on demand, liaise with AZ Sampling Stakeholders, and pull through analytics and coding standard methodologies. Your understanding of AZ core therapy areas and familiarity with core

functions within AZ will be crucial as you lead a talented team.

Essential Skills/Experience

• Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD).
• 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
• 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically:
• Data Mining, Predictive Modelling algorithms.
• Optimisation & Simulation.
• 2+ years of recent experience and proficiency with Python, R, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc.,).
• Understanding of the Veeva system and Veeva data, Alignment, Personal and Non-personal interactions and channels.
• Working knowledge of data visualisation – PowerBI, VBA or similar tools.

- Experience in MS Office products - PowerApps, Excel and PowerPoint skills required.

• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient-level data sets.
• Expertise in managing and analysing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background
• ML a plus
• Experience with IQVIA datasets as well as sales-related data sets such as targeting and alignment, HCP eligibility (blocking), and call data
• Experience with data visualisation methods and tools
• Ability to derive, summarise and communicate insights from analyses
• Organisation and time management skills

Desirable Skills/Experience

• Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
• Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with the Commercial Leadership Team.
• Strong organisational skills and time management; ability to manage a diverse range of simultaneous projects.
• Knowledge of the AZ brand and science is mandatory
• Experience using Big Data is a plus. Exposure to SPARK is desirable
• Should have Excellent Analytical problem-solving ability. Should be able to grasp new concepts quickly

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 we need 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.

At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining brand new science with leading digital technology platforms and data. Our dynamic environment offers countless opportunities to learn and grow through hackathons, exploring new technologies, and transforming roles forever. With a diversity of expertise unique to AstraZeneca, you'll dive deep into groundbreaking technology while broadening your understanding of our wider work.

Ready to make a meaningful impact? Apply now to join our team!

Date Posted

Closing Date

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.