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 Data Curator/Engineer will assemble and analyze novel chemical and biological datasets to contribute to innovative drug design solutions.
This role involves building, curating, and integrating drug discovery data, requiring deep domain knowledge of chemical and macromolecular molecules.
The position includes collaboration with internal product teams and external partners, such as medicinal chemists and bioinformaticians, to enhance product offerings and community support.
Key responsibilities include developing data-gathering approaches, processing datasets, integrating databases, optimizing data pipelines, and maintaining data integrity.
Requirements:
A Ph.D. or Master’s degree in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field is required.
Candidates must have 5-10+ years of experience in cheminformatics, computational drug discovery, or machine learning applications in chemistry.
Proficiency in Python/R and experience with cheminformatics libraries is essential.
Strong knowledge of molecular descriptors, drug targets, and chemical/biological informatics techniques is necessary.
An innate ability to integrate multimodal data is required.
Familiarity with Open Source and competitive intelligence systems is preferred.
Experience in a structured collaborative data and software development environment, including git and SQL/Postgres, is needed.
Exceptional written and verbal communication skills are essential for conveying complex scientific data.
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.