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?

What You’ll Do…

· Work as part of a multidisciplinary team to support internal and external drug discovery efforts

· Support and drive the development of the Valo DNA-Encoded Library (DEL) informatic platform, which is at the interface of DEL synthesis, selections, data analysis, and machine learning. This includes…

· Building pipelines to facilitate the tracking of BBs and oligos from DEL design and build through to the enumeration of final products

· Improving the user interface that tracks DEL selection conditions

· Writing code to calculate statistics from DEL selection datasets

· Designing/suggesting tools to increase efficiency and accuracy of DEL data analysis

· Working with the DEL team on data analysis to support internal and external programs

· Supporting DEL machine learning efforts in collaboration with data science

· Maintaining the DEL platform in collaboration with IT, engineering, and data science

· Support the multidisciplinary workflow between data science, engineering, and discovery sciences to further advance our drug discovery platform…

· Help enable platforms that intersect between wet-lab and data science to vastly improve speed and quality of DMTA cycles through machine learning

· Help to informatically bridge the gaps between wet-lab and data science

What You Bring...

· A Ph.D. in cheminformatics or a related field with over 8 yrs experience (for M.S. over 10 yrs. experience and over 15 yrs experience for a BS)

· Proficient in key programming languages and frameworks: Python, SQL, Bash, Streamlit, etc.

· Proficient with common cheminformatics applications (i.e. Spotfire, ChemAxon, RDKit, etc.)

· Proficient with cloud-based database applications (i.e. Snowflake, AWS, Oracle, etc.)

· Must have the ability to work with large data sets (millions to billions of data points)

· This individual will be making pipelines that bridge the wet-lab with informatics so they must have an understanding of wet-lab workflows, the data generated from those workflows, and relevant statistics

· This person must be independent and confident supporting novel informatic workflows. This includes making new pipelines, virtual machines, and user interfaces to facilitate the DEL workflow.

· This person needs to understand organic chemistry to the point where they can support the informatic portion of the small molecule synthesis and generate tools to look at general properties of small molecules

· This person must be able to work in a multidisciplinary environment

· Experience with DEL platforms is preferred

· Experience with data science and machine learning techniques is preferred

More on Valo

Valo Health, Inc (“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 disease. Founded by Flagship Pioneering and headquartered in Boston, MA, Valo also has offices in Lexington, MA, and New York. To learn more, visit www.valohealth.com.