Job Title:  Senior Data Scientist, Computational-Chemistry/Drug-Discovery

About Us

Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Opal - Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up. 

Our goal is to create life-changing medical treatments by combining expertise in technology and life sciences with a comprehensive view of the entire drug discovery and development process.  

We are committed to hiring a world-class team that brings together a wide variety of different skills and experiences. We believe that diversity makes us stronger by bringing in new ideas and perspectives. We strive to create a workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.  

About the Role...

This is a hands-on, highly collaborative data scientist role working on modeling complex biological data and solving challenging chemical design problems using our proprietary tooling and platform. You will work together with a diverse set of stakeholders to help advance preclinical drug discovery programs, as well as clinical drug development programs, while also collaborating with our machine learning and software engineering groups to further the development of our various technology platform capabilities. You will take responsibility for relevant data identification, collection, QC, analysis, modeling, and interpretation to influence and impact our programs. Successful candidates must be committed to working with a diverse set of scientists, entrepreneurs, and domain experts in ways that cut across traditional industry boundaries in a fast-paced startup environment. 

 

What You’ll Do…

  • Work with data scientists, researchers, product teams, and other domain experts to build solutions to complex data-oriented problems 
  • Organize, mine, explore, and interpret laboratory assay and public datasets from multiple sources under multiple conditions (e.g. internal, CRO, publication, consortium, and patent data) 
  • Train, assess, deploy, and interpret statistical machine learning models that inform, derisk, and advance our programs. 

What You Bring…

  • A PhD (or Masters with experience) in Computational Chemistry, Computational Biology,  Bioinformatics, or related quantitative fields 
  • Strong familiarity with the various tools and environments for successful, modern data science: beyond a fundamental comfort zone with the shell, Python/R, and other scripting languages, you have experience using HPC/grid/cloud computing environments, programming against API services, accessing data from a heterogeneous mixture of flatfiles, SQL relational databases, noSQL/JSON object storage, and/or RDF/OWL triple-stores 
  • Experience with existing cheminformatics tools and platforms such as JChem, RDKit, OpenBabel, Pipeline Pilot, KNIME, MOE, or Schrödinger   
  • Strong analytical, problem-solving, and communication skills, including facility with Rmarkdown and/or Jupyter Notebooks for communicating reproducible results; and the ability to also condense, summarize, and synthesize those results into informative and actionable presentations to less technical audiences 
  • Strong personal project management skills with significant practical experience managing your time split between multiple, parallel projects; experience with Agile processes and frameworks for team collaboration (e.g. Kanban, Trello, Atlassian tools) 

What You'll Also Bring…

  • Direct experience or exposure to the drug discovery process, with an understanding of how computational methods deliver impact on preclinical discovery (target identification & validation; small molecule development; elucidating molecular mechanisms of action and modifiers of effects)  
  • Experience with predictive drug development methods, such as pharmacophore models, crystal structure-based models, QSAR methods, or free energy calculations  
  • Software engineering experience across multiple languages such as Python, Java, R   

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 disease. Founded by Flagship Pioneering and headquartered in Boston, MA, Valo also has offices in Lexington, MA, San Francisco, CA, Princeton, NJ, and Branford, CT. To learn more, visit www​.val​o​health​.com

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