Data Analyst - BioTech

Key Responsibilities:

Data Strategy & Governance:

• Design and implement data frameworks for biotech R&D, clinical trials, and manufacturing analytics.
• Ensure data integrity, compliance, and traceability across systems and platforms.

Advanced Analytics & Modeling:

• Apply statistical, machine learning, and bioinformatics techniques to analyze experimental and operational data.
• Develop predictive models to optimize process yields, quality metrics, and resource allocation.

Visualization & Reporting:

• Build interactive dashboards (Power BI/Tableau) for leadership and cross-functional teams.
• Translate complex datasets into actionable insights for regulatory, quality, and innovation teams.

Cross-functional Collaboration:

• Partner with scientists, regulatory experts, and IT teams to align data initiatives with business goals.
• Support data needs for IND/NDA filings, audits, and global regulatory submissions.

Innovation & Automation:

• Identify opportunities to automate data workflows and integrate AI/ML solutions into biotech operations.
• Stay updated on emerging biotech analytics trends and tools.

• Qualifications:
• Education : Computer Technology
• Experience | 6-12 years in biotech/pharma analytics, preferably in R&D or manufacturing |

Tools & Platforms: Python, R, SQL, Power BI/Tableau, SAS, JMP, LIMS, ELN, AWS/Azure (preferred)| Domain Knowledge | Biotech R&D, CGT, biosimilars, regulatory analytics, quality systems | Soft Skills Strategic thinking, stakeholder management, presentation excellence