Job Description

Job Title - Senior Consultant - Data scientistCareer Level - DLeverage technology to impact patients and ultimately save livesDo 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 ASTRAZENECAAstraZeneca 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\xe2\x80\x99s most serious disease. But we\xe2\x80\x99re more than one of the world\xe2\x80\x99s leading pharmaceutical companies. At AstraZeneca we\xe2\x80\x99re dedicated to being a Great Place to Work.ABOUT OUR IT TEAMIt\xe2\x80\x99s a multifaceted and results-oriented environment to work in \xe2\x80\x93 but that\xe2\x80\x99s why we like it. There are countless opportunities to learn and grow, whether that\xe2\x80\x99s 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.About the roleWe 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.Key AccountabilitiesBuild, develop, and lead capability for a team of hard-working Data ScientistsCo-ordinate and work as part of the wider cross functional team including Data Science & AI, Commercial, Medical, IT across the globeResearch and apply the latest algorithms and methods to relevant business problemsIntegrate internal & external structured & unstructured data into knowledge basesHelp in the design and creation of AZ knowledge graphWork closely with other data teams (data engineering, informatics, data analysis, search) to help other teams to access and leverage data science to answer research questionsCollaborate with our partners in Commercial and business teams to build scalable dataScience solutionsBe the point of contact for driving teamworks with local data science companiesLook for opportunities to integrate structured and unstructured data to build patient journeys. Knowledge of LLM and Diffusion Models would be advantageous to build an easy-to-understand patient journey.The ability to train and customize LLM\xe2\x80\x99s or Diffusion models to be able to solve the commercial problems the business or medical teams would like to solve.Candidate Knowledge, Skills and ExperienceMinimum requirement:BS (or equivalent number of years\xe2\x80\x99 experience) in mathematics, computer science,engineering, physics, statistics, computational sciences, or a related quantitative discipline.Overall ~ 8-10 years of experience in core ML and AI projectsDesirable:Master or PhD in ML or Computer Science in mathematics, computer science, engineering, physics, statistics, computational sciencesWhile we value those educational background, we prioritize those with the right skills to come work with us that have the skills in Data Science.Experience working on structured and unstructured data, text, and image problems in data science.A track record of independently leading data science projects to tackle business or scientific problems.Exceptional skills in Python.Familiarity with database systems, such as SQL, NoSQLYou will be expected to help to coach and nurture other junior Data ScientistsNeeded Prior Experience / understanding with 3-5 years\xe2\x80\x99 experience (foundational tools) & familiarity with recent tools:Mandatory Technical Skills:Technology & Tools: Python, Jupyter notebook, Scikit-learn, SQL, StreamLit, Amazon Bedrock, Jumpstart, Open AI. Good knowledge of cloud platforms (GCP, Azure, AWS)Deep Learning tools: Pytorch/Tensorflow, HuggingFaceMachine Learning: Classical Machine learning (Supervised and Unsupervised Methods), including classification and regression algorithms such as k-means clustering, support vector machines, and random forests.Deep Learning: Fully Connected Architecture, Convolutional Networks, RNN/LSTM. Knowledge of LLM\xe2\x80\x99s like GPT, Falcon, LLAMA, BARD etc. Large pre trained image models like Inception, Mobilenet, YOLO and generative image models like Stable DiffusionGood to have:Pipeline Tools: Airflow/Luigi, MLFlow, Great ExpectationsML Production Tools: Docker, Kubeflow (Familiarity and desire to learn)Reinforcement LearningOther Key Focus:Desire & Curiosity to Learn New technologies/methods in Data Science.Working knowledge of cloud environments (AWS preferred), Hadoop/SparkAbility to explain complex methods and techniques to a non-technical audienceAbility to collaborate closely with cross-functional teamsGood communication, written and verbal skills, fluent English.WHY JOIN US?We\xe2\x80\x99re 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\xe2\x80\x99re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it\xe2\x80\x99s because we make a significant impact. Everything we do matters.SO, WHAT\xe2\x80\x99S NEXT?Are you already envisioning yourself joining our team? Good, because we\xe2\x80\x99d love to hear from you! Click the link to apply and we\xe2\x80\x99ll be in touch as soon as we can.WHERE CAN I FIND OUT MORE?Our Social Media, Follow AstraZeneca on LinkedInWe 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 22-Mar-2024Closing Date 23-Apr-2024AstraZeneca 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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