Director, Scientific Data

🕒 October 9

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Drug Hunter

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

💼 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.

📋 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