Staff Data Scientist, Systems Biology

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

You will be part of a cross-functional data science team applying systems biology approaches to lead target discovery and prioritization, closely collaborating with discovery scientists, data scientists, and engineers to maximize the generation of insights and hypotheses from our internal datasets.

You will be on a team responsible for delivering strong target candidates and accelerating drug discovery programs.

Successful candidates will work synergistically to close the gap between data scientists and biology domain experts, both within a tightly integrated cross- functional team, and across organizational boundaries.

What You'll Do...

• Contribute to the identification of novel pathways and targets relevant to disease mechanism using systems and network biology.
• Develop analysis proposals and perform system-level exploratory analysis on our internal multi-OMICS and RWE datasets, pointing to new insights/hypotheses relevant to the questions of interest.
• Engage with discovery and data science stakeholders to support new hypotheses and/or research questions.
• Perform multi-omics and pathway analyses to advance target identification, and validation.
• Strong communication skills across different functions. 
• Strong data visualization skills.
• Be an agile and pro-active team member, providing regular updates of your work and looking for new scientific opportunities within the team.

What You Bring...

• BS+4, MS or PhD + 3 years experience in bioinformatics, systems biology, computational sciences, computational biology, or related fields (e.g., genetics, molecular biology) in collaborative settings to unravel complex biological questions and communicate domain knowledge to non-computational stakeholders.
• Experience in systems-level multi-omics approaches and data using systems biology methods & network analyses towards understanding biological functions and holistic disease processes.
• Experience with high-dimensional omics data and their challenges.
• Strong analytical, problem-solving, and communication skills, including facility with Rmarkdown and/or Jupyter Notebooks for communicating reproducible results.
• Ability to also condense, summarize, and synthesize results into informative and actionable presentations to scientific audiences as demonstrated by original peer-reviewed publications in respected journals, oral presentations at scientific meetings.
• Experience in R and/or Python, including familiarity with code, data, and model versioning.
• Domain knowledge in cardiovascular disease and its co-morbidities (e.g., obesity, diabetes, and inflammation) preferred.

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.