Remote Patent Informatics Data Scientist

Description:

• Drug Hunter is a company that simplifies the science behind emerging drugs and technologies for easy reference and searchability.
• The company was founded in 2018 to address frustrations with existing methods of learning about new drugs and pharmaceutical science.
• The role of Patent Informatics Data Scientist involves assembling and analyzing novel chemical and biological datasets to contribute to innovative drug design solutions.
• The position requires building, curating, and integrating drug discovery patent data, focusing initially on small molecule patents.
• The job combines organization and curation of patent data with data/software engineering to create high-quality data views and content for users.
• Deep domain knowledge of the patent process for pharmaceuticals and hands-on experience with public domain/commercial patent data systems in drug discovery is essential.
• Collaboration with internal product teams and external partners, including medicinal chemists, pharmacologists, strategists, and software engineers, is a key aspect of the role.

Requirements:

• A Ph.D. or Master’s degree in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field is required.
• Candidates should have 5-10+ years of experience in cheminformatics, computational drug discovery, or machine learning applications in chemistry.
• Proficiency in Python/R, along with experience in cheminformatics libraries and topics, is necessary.
• Strong knowledge of molecular descriptors, drug targets, and chemical/biological informatics techniques is required.
• An innate ability to query and derive value from patent data is essential.
• Familiarity with Open Source and academic/commercial competitive intelligence/patent systems is expected.
• Experience in a structured collaborative data and software development environment (git, SQL/Postgres, python notebooks) is required.
• Exceptional written and verbal communication skills in science, with the ability to tell compelling stories from complex data, are necessary.

Benefits:

• The position offers a competitive salary and stock options.
• Active mentoring in data science and drug discovery is provided within a highly experienced team.
• Professional development opportunities and conference sponsorship are available.
• Employees will work in a collaborative environment focused on cutting-edge computational drug discovery and data science.