Data Curator / Engineer

Drug Hunter • Full-time • Remote (United States) • 3h ago

About Us:

Drug Hunter (drughunter.com) is an essential knowledge platform for biotech/pharma R&D scientists that serves thousands of R&D leaders from hundreds of major pharma and biotech companies around the world.

We are seeking a highly motivated Data Curator/Engineer to assemble, analyze novel chemical and biological datasets, and contribute towards innovative solutions in drug design.

Job Summary:

As Data Curator/Engineer, you will apply a wide variety of approaches to building, curating and integrating drug discovery data. The job is a unique blend of assembly, organization, and curation of data, alongside data engineering to build high quality data views and content for our platform. Deep domain knowledge of molecules, both chemical and macromolecular is required, alongside hands-on experience of public domain/commercial data in the drug discovery space.

You will work closely with both the internal product team and external partners who range from medicinal chemists, bioinformaticians, and software engineers to enhance our product and support of the community.

Key Responsibilities:

Develop and apply data-gathering and mining approaches to build high quality foundation data sets.
Process and analyze small- and large-chemical and biological datasets, including drug-likeness, ADMET properties, dosing, PK/PD etc.
Integrate chemical and biological databases (e.g., ChEMBL, PubChem, and others).
Develop and apply relevant ontologies for data classification and analysis. Support plurality and pragmatism in data indexing and retrieval.
Optimize data pipelines for processing and storing chemical structures using cheminformatics and bioinformatics.
Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows.
Contribute to thought leader articles on ontologies, classification and curation.
Maintain best practices in data integrity, reproducibility, and documentation of data sources and derived content.
Other responsibilities as required to support product development and maintenance.

Requirements

Required Qualifications:

Ph.D. or Master’s degree in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field.
5-10+ years of experience in cheminformatics, computational drug discovery, or machine learning applications in chemistry.
Proficiency in Python/R, with experience in cheminformatics libraries and topics.
Strong knowledge of molecular descriptors, drug targets, and chemical/biological informatics techniques.
An innate sense of how to integrate multimodal data.
Familiarity with Open Source and academic/commercial competitive intelligence systems.
Experience working in a structured collaborative data and software development environment (git, SQL/Postgres, python notebooks).
Exceptional communication skills in written and verbal communication of science, a natural story-teller to make sense and provide insights from complex data.

Preferred Qualifications:

Understanding of regulatory and patent landscapes for chemical and pharmaceutical data.
Text mining experience, NER/NLP.
We understand that we are looking for a broad range of skills, so are committed to on the job coaching from experienced team members.

Benefits

What We Offer:

Competitive salary and stock options.
Active mentoring in data science/drug discovery within a highly experienced team
Professional development opportunities and conference sponsorship.
A collaborative environment working on cutting-edge computational drug discovery and data science.