The preferred candidate will be required to have demonstrated expertise in cheminformatics and excellent programming skills:
Solid knowledge and demonstrated expertise in building predictive models using statistical and machine learning methods. Working knowledge of molecular descriptors (e.g. 2D/3D fingerprints).
Experience with analyzing large internal, public and commercial datasets and with visualization of complex data types.
Experience in the creation of data workflows as well as data analysis and interpretation.
Excellent knowledge in at least one programming or scripting language (Python, Perl, Java, R and R-Shiny).
Experience with workflow applications and data analytics software (Pipeline Pilot, Knime, Spotfire, Vortex).
Commitment and ability to work effectively as part of a multidisciplinary team is a must.
Working knowledge of the following software packages: RDKit, OpenEye, Schrdinger suite or MOE is a plus.
Experience in chemical biology (either from a data analysis or experimental perspective) is desirable.
Experience with pathway analysis and related bioinformatics methods is a plus.
Track record of publications, patents, and/or scientific presentations.
3-5 years of drug discovery experience in industry
Ph.D. in a computational field (e.g., cheminformatics, computational chemistry or biology, computer science) with a background in chemistry or PhD in chemistry/biochemistry with a computational emphasis is required. 2-5 years postdoctoral experience desired.