DataOps Engineer

AstraZeneca is currently looking for an IT DataOps Engineer to join our R&D IT Solution Delivery Team to manage and maintain our SaaMa product, which is GxP compliant, part of Clinical Development Platforms, and used across late-stage science teams in all therapeutic areas. You will be part of our BizDevOps team and will be responsible for working cross-functionally with other team members such as the Product Lead, DevOps Lead, and technical engineers.

Key Responsibilities

• Build, Test, Deploy, and Release: Follow standard SDLC and ITIL processes using Agile methodology to deliver fixes and enhancements.
• Application Management: Work on application enhancements and upgrades when necessary, and be open to tackling challenging tasks/requirements.
• Ticket Ownership: Take ownership of assigned L2/L3 level tickets/tasks and drive them to closure.
• Troubleshooting: Troubleshoot application issues by reviewing application logs and performing dry runs of application code. Identify issues and provide fixes through application code changes if necessary.
• Issue Resolution: Provide resolutions for user-reported issues within defined timelines (as per internal SLA/OLA standards).
• Proactive Monitoring: Monitor ticketing queues and other support channels proactively to quickly acknowledge and respond to user-reported issues while meeting defined response SLAs.
• Collaboration: Liaise with other internal teams/vendors (third-party suppliers) as applicable for addressing application issues and project needs.
• Communication: Send detailed and timely communications to users in case of planned/unplanned outages. Lead outage calls and drive them to resolution.
• Documentation: Follow good documentation practices, including creating Knowledge Base Articles (KBAs) and publishing them for quicker and easier access.
• Backlog Management: Create backlogs/stories/epics in JIRA (as appropriate) and work on them based on business priority.
• Stakeholder Engagement: Excel at collaborator engagement.
• Continuous Learning: Constantly strive to learn and upskill according to the organization’s goals and demands.

Essential Requirements

• 3-5 years of working experience with analytical and reporting tools (Crystal Reports, MicroStrategy/Business Objects (BO), or equivalent).
• Experience in data engineering and data pipelines is an advantage.
• Experience working with inbound and outbound integration and data ETL.
• Ability to work effectively as a member of multi-functional teams across programming, biostatistics, data management, and clinical sciences.
• Knowledge of relational databases and experience using multiple clinical data management systems.
• Excellent written and verbal communication and relationship management skills.
• Experience working with JIRA, Confluence, BitBucket.
• Experience with Cloud Platforms such as AWS or Azure.
• Ability to work independently with minimum supervision.
• Self-motivation and ability to contribute to rapidly evolving programs.

Nice to Have

• Experience with change management processes in GxP-validated SaaS environments.
• Knowledge of Agile/Scrum methodology.
• Engineering mindset to help design and implement Clinical Data Solutions adhering to a Products on Platform delivery model.
• Ability to manage diverse stakeholders and ensure delivery to a high degree of satisfaction.
• Ability to work independently in a dynamic, fast-moving environment.
• Confident communication and interpersonal skills to lead customers, from technical personnel to senior stakeholders, in urgent or critical situations.
• Knowledge of using/creating build tools and CI/CD (Maven, Ant, SonarQube, or similar tools).
• Experience programming in Java or other object-oriented programming languages.
• Experience delivering or developing workshop material, training, gap analyses, or requirements gathering sessions with business and system stakeholders.

Big Plus if You Know

• EDC build (Rave)/Inform and global library maintenance support experience.
• Experience with SaaMa/Life Science Data Hub/e-Clinical platforms.
• Experience working in a global organization where stakeholders and project team members are geographically dispersed.
• Experience assisting in specialized analysis and reporting standards development activities (e.g., clinical coding, clinical dictionaries, and data analysis & reporting standards such as SDTM, ADaM, TLFs) or expertise in Biometrics functions (e.g., Programming or Statistics).
• Accredited certifications from SCDM/ACDM or any vendor-offered data management training.
• End-to-end knowledge of clinical trial development processes and associated system landscapes.
• Experience implementing IT Solutions Industry Standards (e.g., SDTM CDISC) in either collection (CDASH) or tabulation (SDTM).
• Good understanding of FDA/ICH guidelines for clinical study data.
• Experience working with external vendors and CROs to support Standards or EDC integrations with third- party platforms (Central Lab, ePRO, IRT, Data Review/Monitoring, etc.).

Educational Requirements

Bachelor's or Master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology, Biostatistics, or equivalent experience.

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.