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5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a Data Architect at Astellas, your role involves close collaboration with study leads, research scientists, statisticians, clinicians, regulatory experts, and DigitalX professionals to establish and uphold robust data architecture frameworks that align with business objectives, regulatory mandates, and industry standards. Your expertise in Data Engineering, Data Modeling, and governance processes is pivotal in maintaining data integrity, security, and accessibility. By leveraging data, you play a strategic role in advancing the company's mission, driving scientific progress, improving patient outcomes, and introducing innovative therapies securely to the market. Your key responsibilities include managing data operations on AWS architecture, overseeing ETL processes, ensuring data quality, and automating data loads. You will collaborate with internal and external teams for data curation, cataloging, and metadata management. Proficiency in RWD assets and data sources like IQVIA, SYMPHONY, and OMICS sources is crucial. Enforcing data governance, information management policies, and maintaining data security are essential aspects of your role. Your proficiency in Python, Django framework, web technologies, RESTful APIs, and database management systems such as PostgreSQL or MySQL will be highly valuable. Moreover, you will identify areas for improvement in analytics tools, participate in concurrent projects, ensure optimal RWD Analytics environments, and drive process improvements initiatives. Collaborating with Advanced Analytics Solution teams, you will design and implement impactful solutions aligned with long-term strategies. Your problem-solving skills, Agile methodology experience, and excellent communication abilities will be key in successful collaboration with cross-functional teams and stakeholders. Required Qualifications: - Bachelor of Science degree in Computer Science, Information Systems, Data Science, or related field - 5+ years of relevant experience in data architecture or engineering roles within the healthcare industry Preferred Qualifications: - Master of Science degree in Computer Science, Information Systems, Data Science, or related field - 3+ years of experience in Life Sciences industry - Expertise in ETL, data modeling, data integration techniques - Proficiency in programming languages like Python, Django, web technologies, RESTful APIs, and database management - Strong understanding of life sciences business processes and Agile methodology experience - Excellent communication, interpersonal skills, and project management capabilities - Relevant certifications in cloud computing and data engineering tools/platforms are advantageous Category: Bold X Astellas is dedicated to promoting equality of opportunity in all aspects of employment, including Disability/Protected Veterans.,

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