Senior Staff Data Scientist – Translational Data Science at Valo Health | Torre
Senior Staff Data Scientist – Translational Data Science
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Valo Health

Senior Staff Data Scientist – Translational Data Science

Valo Health
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Full-time

Legal agreement: To be defined

Compensation
USD236k - 364k/year
location_on
Hybrid (San Francisco, California, United States)
Posted over 2 years ago

Responsibilities

- Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. - Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. - Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Valo Health is seeking a Senior Staff Data Scientist with expertise in graph ML techniques to join our Translational Biology Data Science department. As a core member of our team, you will be responsible for developing graph ML solutions to make a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs available to machine learning-based strategies and compute-enabled hypothesis generation. You will collaborate with world-class data scientists, software engineers, and translational biologists to advance the research and development of new medicines. If you are ready to join a multi-disciplinary team of experts and contribute to the reinvention of drug discovery and development, we encourage you to apply. Responsibilities: - Develop graph ML solutions to make a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs available to machine learning-based strategies and compute-enabled hypothesis generation. - Collaborate with world-class data scientists, software engineers, and translational biologists to advance the research and development of new medicines. - Articulate and break down large problems into solvable pieces and prioritize critical-path problems. - Collaborate with drug discovery and clinical teams to ensure the relevance and impact of the models, algorithms, or knowledge representation developed by the team. - Provide regular updates of work and input into the work of colleagues, champion data science best practices, and participate in code, design, and analysis review.
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