Principal Computational Scientist - Machine Learning in Biology

About the Role

Our client is seeking a highly experienced and visionary Principal Computational Scientist to lead their cutting-edge machine learning initiatives within biological research, operating on a fully remote basis. This senior role will be instrumental in developing and deploying advanced ML models to analyze vast biological datasets, uncovering novel insights into disease mechanisms and therapeutic targets. You will guide a team of computational scientists and collaborate closely with experimental biologists and clinicians, driving innovation and scientific discovery. This is an unparalleled opportunity for an expert in ML and computational biology to shape the future of data-driven research in a dynamic and impactful organization.

Key Responsibilities

• Lead the development and application of advanced machine learning algorithms to complex biological datasets (genomics, proteomics, imaging).
• Design and implement ML models for tasks such as target identification, biomarker discovery, and predictive modeling.
• Collaborate with experimental teams to define research questions and integrate computational findings.
• Mentor and guide junior computational scientists and data analysts.
• Oversee the deployment and validation of ML models in research settings.
• Stay at the forefront of ML research and identify opportunities for novel applications in biology.

Requirements

• Ph.D. in Computational Biology, Computer Science, Statistics, or a related quantitative field with a focus on machine learning.
• 10+ years of experience in computational science, with a significant portion dedicated to applying machine learning to biological problems.
• Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling.
• Strong programming skills in Python and experience with relevant libraries (e.g., Scikit-learn, Pandas).
• Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis.
• Excellent leadership, communication, and strategic thinking abilities, crucial for a remote role .

Benefits

• Exceptional salary and equity package.
• Fully remote work environment with global flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and conference attendance support.
• Opportunity to lead impactful research at the intersection of AI and biology.