Senior Data Scientist

Key Skills

Analytical and Problem solving, Analytical Techniques, Cheminformatics, Effective communication skills, Java Programming, Jupyter Notebook, KNIME, Large scale data processing, Machine learning techniques, R Programming, Schrodinger suite

Job Description

As a Senior Data Scientist at Valo, you will design and implement solutions to real-world small-molecule modeling problems using our AI-based Opal platform. You will work closely with a diverse team of scientists, engineers, and domain experts to advance computationally accelerated drug development programs that address unmet medical needs. You will have the opportunity to apply and enhance your skills in machine learning, data analysis, and software development while making a positive impact on patients and society.

Opal is a fully integrated, cloud-native platform that leverages human-centric data to create new approaches to drug discovery and development. Opal uses state-of-the-art machine learning algorithms and data pipelines to generate predictive insights that help researchers reduce drug development costs and accelerate time-to-market.

What You’ll Do…

Your primary areas of responsibility will be: 

• Collaborate with data scientists, researchers, product teams, and other domain experts to design and implement solutions to complex data-oriented problems that impact real drug discovery programs
• Work on a team developing novel algorithms for application in real-world preclinical discovery programs, tackling problems such as ADME modeling, toxicity prediction, and generative chemistry.
• Train, assess, deploy, and interpret statistical machine learning models that inform and advance our programs. 

 What You Bring…

• A Masters in Computer Science, Data Science or related field, or equivalent industry experience
• Experience with modern statistical analysis and machine learning techniques, particularly in the context of large-scale, high-throughput dataset analysis. 
• An aptitude for learning about new domains and adapting machine learning techniques to those domains
• Software engineering experience across multiple languages such as Python, Java, R
• 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 practical experience managing your time split between multiple, parallel projects 

  You May Also Bring…

• B.S or M.S. in Chemistry, Computational Chemistry, or related field
• Experience with cheminformatics tools and platforms such as JChem, RDKit, OpenBabel, Pipeline Pilot, KNIME, MOE, or Schrödinger 
• Experience with predictive drug development methods, such as pharmacophore models, crystal structure-based models, QSAR methods, or free energy calculations 

Pay Range:

• Base Salary: $146,216 - $184,800

This range represents the low and high end of the anticipated annual base salary range for the New York City based position. The actual annual base salary will depend on numerous factors such as: experience, knowledge, skills, and if the location of the job changes.