Job Title - Senior Consultant - Data scientist
Career Level - D
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!
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.
It’s a multifaceted 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. A diverse set of minds that work cross- functionally and broadly together.
We are looking for an experienced Senior data scientist to lead our efforts around Data Science and AI capabilities for AZ Commercial Data Science & AI Team based out of our India offices in Chennai and Bangalore.
You will work in partnership with AZ business and medical authorities across multiple disease areas, Brands & Indications. You will work with AZ Internal and External Datasets to extract multiple layers of intelligence powered by machine learning, natural language processing, foundational models, and knowledge graphs to support commercialization of new medicines. You will be part of a distributed team of data scientists and domain experts involved in creating tools that will advance and transform healthcare delivery in improving the lives of millions of patients across the globe.
You will be a lead Data Scientist to advance our data science & machine learning models to extract layers of intelligence from vast quantities of structured and unstructured Data ((Patient, Physician, Health Systems, AZ Internal Sales and Marketing Data, Scientific content, Social etc.)
The ideal candidate will possess a blend of computational science skills, successful experience building quality data science-based algorithms & applications and a great track record of applying data science to real-world problems in healthcare.
Minimum requirement:
Needed Prior Experience / understanding with 3-5 years’ experience (foundational tools) & familiarity with recent tools:
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
13-Feb-2024
Closing Date
13-Mar-2024
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.
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