Drug Discovery Associate Data Scientist

Key Skills

Data science techniques, Database, Drug Discovery, Git, Linux Operating system, Management, MySQL, NumPy, Pandas, PostgreSQL, Python Programming, R Programming, SciPy, Unix Operating system

Job Description

We’re seeking a Drug Discovery Associate Data Scientist to join us in our mission to improve human health and quality of life!

As a member of our Drug Discovery group, you’ll join a group of about 90 scientists that includes designers, modelers, computational chemists, medicinal chemists, crystallographers, biochemists, and biologists. Our team is also supported by over 100 software developers and engineers. Three of the programs we’ve worked on in the past seven years have progressed into the clinic, and an additional one is expected to enter clinical trials this year. You can see recent news on one of these programs here.

Who will love this job:

• A scientific thinker who has completed at least a year of organic chemistry coursework and has experience with analyzing chemistry journal articles (a background in computational chemistry, cheminformatics, material science, or a related field is a plus)
• An independent worker who understands enzyme inhibition and receptor agonism/antagonism
• A proficient scripter (e.g., shell, Python, R) who’s worked in Linux/UNIX environments
• A motivated learner who’s willing to take on new challenges and accept constructive criticism

What you’ll do:

• Research, curate, and prepare computational chemistry data sets, as well as compile, analyze, and summarize results
• Prepare and maintain drug discovery group chemical database content, which includes:

processing confidential data and information according to guidelines

managing data creation, updates, and deletion

providing quality assurance of imported data by collaborating with key internal or external advisors as necessary

• Exhibit excellent organizational and time management skills, as well as attention to detail
• Participate in improving software and processes via early access usage, bug reporting, and outlining improvement requests

What you should have:

• A Master’s degree in physical science, such as chemistry, biochemistry who has completed at least a year of organic chemistry coursework.
• Experience with any of the following is a plus:
• Scientific Python packages (e.g., pandas, numpy, scipy, matplotlib)
• Version control (e.g., Git)
• Online sources of scientific information (especially NCBI PubMed, RCSB PDB, UniProtKB, EMBL-EBI ChEMBL, SciFinder, Reaxys)
• Databases (e.g., MySQL, sqlite, PostgreSQL);