What are the responsibilities and job description for the Senior Staff Data Scientist, Computational Biology position at Valo Health?
About Us
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?
About the role
We are looking for a computational biology (or related fields) Senior Staff Data Scientist to help represent the translational data science team in inter-disciplinary target validation efforts. A successful candidate would be adept in using and developing reusable computational approaches aimed at deriving insights from drug discovery data sources (e.g. omics, genetics, pathways, EHR, RWD, etc.), and be able to communicate and represent translational data science in integrated drug development teams.
What You'll do ...
- Represent, advise on, and lead computational biology and data science efforts for several cross-functional drug target validation programs.
- Individually contribute code and collaborate with other data scientists using R or Python.
- Consolidate results from a diverse array of data spanning real world data, genetic data, and multi-omics data, aimed at informing target validation efforts.
- Collaborate with internal and external world-class drug discovery experts to help ensure the relevance and impact of the insights generated by you and your teammates.
- Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we're trying to address don't have simple solutions or clear processes to arrive at answers.
- Use your technical knowledge and intuition to articulate and help scope the work needed.
What You Bring...
Public resources including literature, knowledge bases, pathways, etc.
You may also Bring...
More on Valo
Valo Health, LLC ("Valo") is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company's Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.
