Responsibilities- What You’ll Do
· You will design & implement various innovative solutions in the realms of Clinical data analytics and management.
· Work in clinical data analytics and management area as part of strategy building, assessment and technology implementation project as business and data analyst.
· Lead and participate in business process discussions with clients, identify requirements and user stories for clinical data handling, transformation, access control etc.
· Conduct online interviews and workshops to gather requirements to support the business needs of users.
· Author high-level user stories and develop related tasks, acceptance criteria and review test cases.
· Work closely with project teams in creating Requirement Specifications, RTM and other project documents.
· Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups.
· Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming.
· Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules.
· The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches.
· Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential.
Requirements- What You’ll Bring
· Bachelor’s degree Pharma/ Bioinformatics / Medicine or related disciplines.
· Master’s degree in Business Analyst, Engineering or Science preferred.
· 3-6 years of experience working within Life Science Domain as solution architect / business analyst / data analyst is required.
· Good understanding and hands on experience on clinical data management study set-up, conduct and close out. Including understanding of site imitation, E-consent, investigator signature modules, external data ingestion.
· Experience of working in building solution around drug development -clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports, clinical data transformation automation.
· Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred.
· Experience working in Clinical data management area as BA or Subject matter expert.
· Understand the end to end process for clinical data management and Analysis.
· Exposure to clinical data coordination and clinical data management area.
· Experience in building and delivering GxP compliant solutions for large enterprise program is required.
· Exposure to programming language like R, Python and SAS is preferred.