Clinical Data Engineer (MDM), R&DX

Reposted 10 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Pharmaceutical
The Role
The Clinical Data Engineer designs and implements data pipeline architectures, supervises clinical data integration, and collaborates with cross-functional teams, ensuring data-driven decision-making in life sciences.
Summary Generated by Built In
Job Summary & Responsibilities

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians.  If you want to be part of this exciting work, you belong to Astellas!

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com.


Purpose and Scope: 

The Clinical Data Engineer role serves the purpose of fostering innovation and operational efficiency through the facilitation of data-driven decision-making processes, expediting drug discovery initiatives, and bolstering regulatory compliance efforts. This role involves designing and implementing customized data pipeline architecture solutions tailored to the complexities of life sciences research and development. It also includes supervising the integration and management of various clinical data and data sources, such as clinical trials data, operational data, lab data, wearables data, and real-world evidence.


Through close collaboration with study leads, research scientists, statisticians, clinicians, regulatory experts, and DigitalX professionals, this role establishes and upholds robust data architecture frameworks that align harmoniously with business objectives, regulatory mandates, and industry standards. Expertise in Data Engineering, Data Modeling, and adeptly managing governance processes is essential for maintaining the integrity, security, and accessibility of data assets. This role holds a strategic position in advancing the life sciences company's mission by using data to drive scientific progress, improve patient outcomes, and efficiently and securely introduce ground-breaking therapies to the market.


Responsibilities:

  • Responsible for delivering MDM features and capabilities on Reltio MDM platform. This role will work cross-functionally and is accountable for Business as Usual and new development activities.
  • Acts as a Subject Matter Expert in MDM, specifically on Reltio platform.
  • Engages with business owners to define key business requirements and converts these requirements into technical specifications.
  • In accordance with business requirements, develop all aspects of a Reltio solution including but not limited to Data Load/Export, perform complex mapping, matching and survivorship rules, data cleansing, deduplication, standardization, and data model configuration.
  • Be actively involved in testing and validation activities for all new development work. Coordinate with Data Lake teams in migrating code to higher environments and ensuring that Data Lakes and consuming systems reflect the MDM data.
  • Participate in design and code reviews to ensure solution capabilities deliver value, in partnership with key DigitalX and business stakeholders.
  • Enthusiastically engage with cross-functional teams in seeking opportunities to enhance existing processes, ensuring continuous improvement.
  • Maintain applicable security access and privileges, mapping users’ roles with appropriate Reltio custom roles.
  • Proactively track and maintain all Reltio automated jobs, ensuring timely intake of MDM data by end consuming systems.
  • Identify use cases to harmonize data across Clinical Trial Management, ensuring tracing and tracking of data sets across Pre-commercial to Medicinal Products.
  • Actively participate in maintaining the backlog of activities, on Azure DevOps services. 
Preferred Qualifications

Required Qualifications and Experience:

  • Bachelor of Science degree in Computer Science, Mathematics, Information Systems, Data Science, or a related field.
  • At least 4 years of experience in Reltio MDM development.
  • Good understanding of Reltio cloud-native architecture, graph data model, and ML integrations.
  • Proficient in Reltio data model configuration (Entity types, attributes), matching rules, operational values and survivorship rules, relationships, User Interface, and hierarchies.
  • Experienced in tuning matching rules to reduce duplicates in the Entities’ data.
  • Competent in working with Reltio REST APIs.
  • Good experience in working with Reltio Integration Hub (RIH) recipe building and workflows, data integration concepts.
  • Experienced in loading and exporting data from Reltio Hub and automating the processes.
  • Skilled in designing best practices, design principles, and data governance frameworks. Should have an inherent desire to innovate.
  • Experience working in an agile methodology, distributed version control and management (such as GitHub).
  • Good experience in general purpose programming language such as Python.
  • Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
  • Good understanding of the SLC processes for GxP and non-GxP data sets. 
  • Ability to work independently and manage multiple task assignment.

Preferred Qualifications:

  • Master’s degree in computer science or a related field
  • At least 3+ years’ experience in Life Sciences industry, and an equivalent number of years in Information Technology.
  • Prior experience with other cloud-based MDM tools such as Informatica MDM, Stibo is a plus.
  • Proficiency in SQL and data quality tools (e.g. Talend, Databricks, Informatica Data Quality).
  • Strong understanding of ETL/ELT processes, and cloud based scalable data storage analytics platforms such as Azure, AWS, and GCP.

Working Environment:

At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility

Astellas’ Global Capability Centres – OverviewAstellas’ Global Capability Centres (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. ​Our three GCCs are located in India, Poland and Mexico.​

​The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.​

​Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company’s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.

"Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help"

Top Skills

Azure
Cloud-Native Architecture
Data Lake
Databricks
Informatica Data Quality
Informatica Mdm
Python
Qlik
Reltio
Reltio Mdm
SQL
Tableau
Talend
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The Company
HQ: Chuo-Ku, Tokyo
5,446 Employees

What We Do

At Astellas, we strive to be a cutting-edge, value-driven life science innovator. This means working at the forefront of healthcare change to turn innovative science into the best outcomes for patients. Operating in approximately 70 countries with more than 14,000 employees, we are relentless in our pursuit of scientific progress and in tackling unmet medical needs. Visit our Global Astellas LinkedIn Community Guidelines to learn more about interacting with this page: https://www.astellas.com/en/global-linkedin-community-guidelines

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