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Data Science Innovator
2 months ago
About the Role:
We are seeking an exceptional Data Scientist to drive the development of innovative AI and ML solutions for biomarker discovery, drug response prediction, and clinical decision-making support. This role offers a unique opportunity to leverage AI/ML technologies to enhance cancer patient outcomes.
Key Responsibilities:
- Apply various ML approaches to complex molecular and clinical data for biomarker discovery.
- Develop and implement AI/ML solutions to support clinical decision-making.
- Collaborate with cross-functional teams to integrate ML solutions into existing workflows.
- Design and implement data pipelines to support ML model development and deployment.
- Stay up-to-date with the latest advancements in AI/ML and apply knowledge to drive innovation.
Requirements:
- 5+ years of experience in Machine Learning (ML) and Deep-Learning (DL) methods.
- Expertise in Bayesian statistical methods and bioinformatics pipelines for proteomics data analysis.
- Experience in regulated environments and proficiency in cloud platforms like GCP, AWS, or Azure.
- Strong foundation in traditional statistical methods and expert knowledge of ML methodologies.
- Passion for mentoring and supporting colleagues in ML best-practices.
Preferred Qualifications:
- PhD or equivalent experience in AI/ML, bioinformatics, or a related field.
- Fluency in R, Python, or C++ programming languages.
- Experience in source control and software lifecycle management.
About SRG:
SRG is a leading organization in the field of precision medicine, dedicated to driving significant advancements in cancer treatment through the application of data science and AI/ML technologies.