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Director, Scientific Data

🔥 1 minute ago

🍂 Massachusetts – Remote

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⏰ Full Time

đź”´ Lead

đź‘” Director

đź‘» Ghost score 10%

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Logo of Drug Hunter

Drug Hunter

11 - 50 employees

Founded 2018

🏥 Healthcare

đź’Ľ Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

Drug Hunter is a specialty scientific media and intelligence platform that curates news, case studies, patent analyses, molecule profiles, and webinar content focused on small-molecule and biologic drug discovery and development. The site surfaces preclinical and clinical disclosures, medicinal chemistry insights, translational science, and IP highlights for researchers, biotech/pharma professionals, and investors. Drug Hunter also hosts webinars and flash talks and provides resources aimed at keeping the drug discovery community informed about pipeline advances and discovery technologies.

đź“‹ Description

• Serve as the primary internal subject-matter expert for cheminformatics and scientific data, with sufficient breadth across bioinformatics and drug discovery data to guide data decisions spanning chemistry and biology. • Own the scientific strategy for how Drug Hunter acquires, represents, integrates, normalizes, and maintains scientific data, partnering with Engineering and Science on architecture and curation processes. • Define how chemical entities are represented, registered, standardized, and resolved across sources, and establish curation standards, controlled vocabularies, QA rules, and scalable tooling. • Define approaches for extracting structured scientific information from unstructured literature and patent content, including chemical structures, text, and tables, and link extracted information to canonical entities. • Own scientific semantics, entity resolution, and ontology strategy across compounds, targets, genes, diseases, organizations, assays, and other concepts. • Evaluate scientific data sources across chemistry, biology, DMPK, drug, and clinical domains, including coverage, quality, overlap, limitations, licensing, and update characteristics. • Establish standards for data quality, provenance, validation, completeness, and freshness, and ensure effective data-quality issue resolution processes. • Partner with Science to translate scientific expertise and curation decisions into maintainable data models, standards, and processes. • Partner with Engineering on data models, technical approaches, architectural decisions, and trade-offs involving scientific information and application systems. • Partner with Product Management to translate scientific and technical requirements into project specifications and communicate technical trade-offs. • Evaluate build-versus-buy decisions for scientific datasets, cheminformatics and bioinformatics capabilities, and data tooling. • Lead the Data team in translating priorities into executable projects while understanding progress, challenges, dependencies, and workload. • Provide scientific and technical leadership, mentorship, and direction to the Data team, including creating, hiring, and managing roles as needed.

🎯 Requirements

• PhD in cheminformatics, bioinformatics, computational biology, structural biology, or a related quantitative life-science field. • 10+ years working with scientific data in drug discovery, biotech, or life science data/informatics companies, including 3+ years leading people or a data function • Working cheminformatics literacy (molecular representations, structure standardization, substructure/similarity search concepts, RDKit or similar tools) • Fluency in bioinformatics, with a deep working knowledge of biological databases and ontologies, target and pathway biology, and gene/protein identifier mapping • Strong data modeling skills and hands-on proficiency in Python and SQL; experience with data pipelines and modern data tooling • Understanding of the drug discovery process from target to clinic, and ability to converse fluently with medicinal chemsits and biologists • Clear communicator who can move seamlessly between scientific details and engineering/product trade-offs

🏖️ Benefits

• Competitive salary, variable compensation, and equity • Broad range of medical, dental, vision, and life insurance plans for employees and their dependents, including generous coverage for a platinum PPO healthcare plan • Short-term disability and long-term disability insurance • Cancer and critical illness coverage • Up to 14 weeks paid parental leave (after 1 yr tenure) and childcare FSA plan • 401(k) + employer match • Home office set up stipend for fully remote employees • Learning and development support • Generous and flexible vacation and leave policies

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