onsite
Sr Manager/Associate Director - Analytics Consulting Pharma/Life Science - Tiger Analytics Inc.
Software Engineer
Lead a high‑impact analytics practice for pharmaceutical and life‑science clients, driving data‑driven insights with advanced machine learning, AI, and statistical modeling to solve complex business challenges.
About the role
Key Responsibilities
- Lead and mentor a multidisciplinary analytics team, setting technical direction and ensuring delivery excellence on large‑scale projects for pharma and life‑science clients.
- Architect end‑to‑end data science solutions, from data acquisition and preprocessing to model development, validation, and deployment using Python, SQL, and cloud platforms.
- Translate complex business problems into analytical frameworks, leveraging machine learning, AI, and advanced statistical techniques to uncover actionable insights.
- Collaborate with stakeholders to define project scope, deliverables, and success metrics, ensuring alignment with client objectives and regulatory requirements.
- Drive continuous improvement of analytics processes, tools, and best practices, fostering a culture of innovation and knowledge sharing.
Requirements
- 10+ years of experience in analytics, data science, or related fields, with at least 5 years in a leadership role within the pharma or life‑science sector.
- Proficiency in Python, SQL, and machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Strong understanding of regulatory standards (FDA, EMA) and data governance in life‑science analytics.
- Excellent communication skills, capable of presenting complex findings to executive audiences.
- Proven track record of delivering high‑impact analytics solutions that drive business value.
Skills
machine learningpythonsql