Summary
Saadia Iftikhar is a Data Scientist at Roche with over a decade of hands-on experience applying machine learning and computer vision to personalized healthcare and drug discovery. She holds a PhD in Bioengineering from Imperial College London and has led large-scale, petabyte-level imaging projects across academia and industry, translating clinical problems into deployable data science workflows. Her core strengths span high-throughput image analysis, bioinformatics, and statistical pattern recognition, with production-grade expertise in Python, R, C++ and Java across Mac, Windows and Linux. Saadia has a track record of guiding multidisciplinary teams and defining data governance practices that ensure integrity and reproducibility in oncology and organoid research. Notably, she has optimized and parallelized complex 3D+ multiplexed imaging pipelines at institutions including NIH and the University of Basel, turning experimental imaging data into actionable patient-treatment insights.
10 years of coding experience
12 years of employment as a software developer
Bachelors of Engineering, Computer Systems Engineering, First Class with honors, Bachelors of Engineering, Computer Systems Engineering, First Class with honors at Mehran University of Engineering and Technology Jamshoro
PhD, Bioengineering, PhD, Bioengineering at Imperial College London
MBA - Short courses, Business Administration and Management, General, MBA - Short courses, Business Administration and Management, General at Imperial College Business School
English, Sindhi, Hindi, Urdu, German