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

Senior Staff Data Scientist – Translational Data Science

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Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
Boston, Massachusetts
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 was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for 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. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? As a Senior Staff Scientist ML within the Translational Biology Data Science department, you will be a core member of a team of data scientists, software engineers, and translational biologists building a powerful computational platform for advancing the research and development of new medicines. You will develop graph ML solutions to make available a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs available to machine learning-based strategies and compute-enabled hypothesis generation. Successful candidates will work with a diverse set of scientists, entrepreneurs, and domain experts in ways that cut across traditional industry boundaries. Responsibilities: - Work as part of teams of world-class data scientists and engineers developing and deploying robust, generalizable solutions to core scientific problems - Use technical knowledge and intuition to articulate and break down large problems into solvable pieces - Collaborate with drug discovery and clinical teams to help ensure the relevance and impact of the models, algorithms, or knowledge representation developed by you and your team - Be comfortable with scientific risk and be a dynamic and active team member, providing regular updates of your work and input into the work of your colleagues; championing data science best practices; participating in code, design, and analysis review