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Data Scientist

Ort Chennai, State of Tamil Nādu, Indien Anzeigen-ID R-120291 Veröffentlichungsdatum 27/09/2021

JOB TITLE : DATA SCIENTIST

CAREER LEVEL:C3

Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation 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.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.

ABOUT THE ROLE

  • Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership
  • Champion the use of local customer insight in strategic and resourcing decisions across the business.
  • Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives
  • Identify and prioritize enhancements and new analytic capabilities. Can lead the development, deployment, and embedding of such capabilities across the organization.
  • Instills a culture of continuous improvement, testing, and deployment of new capabilities for the business.
  • Develop innovative analytical practices to create and sustain competitive advantage.
  • Access appropriate information via a variety of tools and sources
  • Summarize and present findings through various communication channels
  • Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
  • Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
  • Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization

ESSENTIAL SKILLS REQUIRED

  • 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.
  • 4+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically:
  • Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
  • Data Mining, Predictive Modelling & Machine Learning algorithms.
  • Optimization & 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.,).
  • Working knowledge of data visualization – MicroStrategy, Tableau, PowerBI, Qlikview, D3js or similar tools.
  • Experience in MS Office products - 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 analyzing a range of large, secondary transactional databases is required.
  • Statistical analysis and modelling background
  • ML a plus
  • Experience with IQVIA data sets
  • Experience with data visualization methods and tools
  • Ability to derive, summarize and communicate insights from analyses
  • Organization and time management skills

WHY JOIN US ?

We’re a network of ambitious 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.



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 authorisation and employment eligibility verification requirements.

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