Job Title - Analyst - Data Scientist

Career Level - C3

About Astrazeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.

Who we are:

The Global Business Service (GBS) team sits within Finance at AstraZeneca and is a dynamic and results-oriented environment and provides a range of enterprise-wide services. We dare to change the way we work by freeing up the business to push the boundaries of science to deliver life-changing medicines. We aim to do this by freeing up time, freeing up money, protecting AZ’s value and providing new capabilities.

What we do:

A trusted partner to the business, we’re on a mission to make AstraZeneca more agile, efficient and effective. Through our hybrid model of in-house delivery centers and service towers across the globe, we’re reimagining how we work. Here we drive new ways of working and operating models, process simplification and innovative solutions, whilst ensuring that automation and data is at the heart of everything.

How we do it:

Be part of a team building a community. We interact with diverse cultures and perspectives and are united by our sense of belonging. This is the place to learn and grow together.

Why we love it:

• As a growing multi-national company, there’s so much potential to develop. Embrace opportunities at a global business that’s facing new and varied challenges. This is the place to build an exemplary, international CV.

• A fun place to be, we’re creating community hubs that build partnerships, not just working relationships.

• We’re on an exciting journey to take our team to the next stage. This is the place to leave a legacy behind.

• We are a diverse, inclusive and innovative group who identify, build and deliver excellent shared services (which everyone can leverage) to enable AstraZeneca to grow and change at speed. We are passionate about simple process – making it easier to get vital repeatable services done – for our patients, for our customers, for our teams.

• We focus on providing exceptional value that contributes to our company’s success and future by freeing up the business (our customers) to push the boundaries of science to deliver life-changing medicines for patients. With the accomplishments, commitment and passion that you bring, I’m excited about what we will achieve together towards realizing AstraZeneca’s bold ambition.

About the role

Data Scientist in Data Science & Advanced Analytics team is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. The primary focus will be on leveraging advanced analytics techniques and data science methodologies to solve complex business problems, generate disease/treatment insight, support HCP lead generation, and drive business growth. This role will work closely with Marketing, US Commercial leadership, Sales Field Team, and Field Operations. This role will help further build the data science capability supporting Commercial. There will also be an opportunity to help share the data and analytics strategy supporting lead generation and other key business priorities. The position will be reporting to the Director of Data Science and Advanced Analytics Lead.

You will be responsible for:

• Work with the Commercial Cross-functional team to identify opportunities for leveraging internal and external data to drive business solutions.

• Responsible for advanced data science expertise to multiple cross-functional projects and drive delivery of complex data science solutions that drive value to Commercial Organization

• Support the development and deployment of analytical models in statistical forecasting, marketing analytics, Marketing Mix Modeling, Multi Touch Attribution modeling, automation platforms, and Machine Learning

• Leads complex projects using wide breadth of data sciences and advanced techniques

• Leads large scale projects that utilize online & offline data, structured & unstructured data, set top box data (media/behavioral/attitudinal) to build customer centric models and optimization tools

• Create, manage, and maintain scalable analytical models for recurring analyses and future use case

• Conduct analytics against HCP and de-identified patient-level healthcare data to drive disease insight and support HCP lead generation

• Lead the development of statistical and machine learning models to quantify the effect and interactions that affect patients’ and their healthcare journeys

• Develop statistical model-based Omni-channel marketing solutions based on rich and complicated healthcare data to optimize the delivery of messages and maximize the impact across different channels

• Optimize existing and develop new prospecting ML tools/model to support patient finding and HCP identification

• Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting, and other business outcomes

• Collaborates across the Commercial cross-functional team and AI community to develop best practices and cross-functional opportunities that drive value

• Help build team of data scientists to establish in-house advanced analytics capabilities

• Support Ad-hoc Analyses.

You will need to have:

• BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economic) with strong knowledge of statistical analysis and modeling

• 5+ years of work experience with statistical and predictive modeling, preferably in consulting, healthcare, or biopharmaceuticals

• Strong communication skills and ability to communicate complex methods and results to diverse audiences.

• Deep experience with analytic tools/languages (e.g., R / Python / Dataiku/Databricks/Qlik) and experience with machine learning and artificial intelligence techniques

• Proven ability in extracting insights from statistical models, such as linear regression, clustering algorithms, random forest models, time series, Neural Networks, etc.

• Hands-on Experience working with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)

• Candidate must have technical experience in database structures, query languages, structured programming languages, and the ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases

• Ability to analyze and visualize data using data visualization techniques

• Proficiency in data manipulation, cleansing, and interpretation

• The duties of this role are generally conducted in 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:

• Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS and use data and these technologies along with statistical tools like Python/R, etc

• Familiarity with data visualization tools like Tableau, Qlik Sense, Power BI, Excel charts/reports

• Prior experience with Data Tokenization

• Working knowledge of the Salesforce/Veeva CRM, Data governance, and Data mining algorithms.

WHY JOIN US?

We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.

We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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.