Required Qualifications & Skills
- Bachelor's or Master's degree in Life Sciences, Pharmacy, Biotechnology, Clinical Research,
Statistics, Data Science, Computer Science, Engineering, Business or a related field.
- 5–8 years of experience in Clinical Data Analysis, Clinical/R&D Analytics, Data Analysis,
Business Analysis, or related roles.
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Proven experience working with Biopharma / Pharmaceutical / Life Sciences clients.
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Strong understanding of Clinical/R&D processes, systems, and data.
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Experience working with or analyzing data from systems such as CTMS, EDC,
RIM/Regulatory systems, clinical planning systems, and other R&D platforms.
Driving Innovation, Empowering Insights
- Understanding of clinical product hierarchies, study/trial structures, site and subject data,
milestones, and related R&D data domains.
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Strong SQL and data analysis capabilities.
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Experience with data quality, validation, reconciliation, data mapping, and root-cause
analysis.
- Understanding of data warehousing, BI, reporting, data integration, and analytical data
models.
- Strong communication, stakeholder management, documentation, and problem-solving
skills.
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Experience working with cross-functional and geographically distributed teams.
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Familiarity with Agile/Scrum and tools such as Jira or Azure DevOps.
Must-Have Skills
- Biopharma/Life Sciences Client Experience – proven experience working with Biopharma,
Pharmaceutical, Biotechnology, Clinical Research, or Life Sciences clients.
- Clinical/R&D Domain Knowledge – strong understanding of clinical development, clinical
operations, clinical trials, and R&D processes.
- Clinical/R&D Systems & Data – practical understanding of systems such as CTMS, EDC, RIM,
eTMF, Study Startup, and clinical planning/portfolio management systems such as
Planisware, along with the data generated and consumed across these systems.
- Clinical Data Structures – understanding of clinical product/asset hierarchies, study/trial
structures, sites, subjects, milestones, and relationships between key R&D data domains.
- SQL & Data Analysis – ability to independently query, analyze, validate, reconcile, and
troubleshoot complex datasets.
- Data Quality & Validation – experience with data profiling, reconciliation, business-rule
validation, issue investigation, and root-cause analysis.
- Data Mapping & Lineage – understanding of source-to-target mapping, data transformations,
data definitions, and data lineage across systems.
- Requirements & Analytical Thinking – ability to translate Clinical/R&D business needs into
data requirements, business rules, metrics, and analytical specifications.
- Stakeholder Management – ability to work effectively with Clinical/R&D SMEs, business
stakeholders, data engineers, architects, and BI teams.
Only immediate joiners are considered.
Skills:- SQL, Pharmaceutics and Life sciences
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