Director, Scientific Data

🕒 Outubro 9

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

👻 Score fantasma 13%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 35 dias.
• As vagas desta empresa costumam ser preenchidas em 28 dias.
• Sem salário divulgado.

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Drug Hunter

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

🏥 Saúde

💼 Consultoria

🍽️ Alimentos e Bebidas

Healthcare • Consulting • Food & Beverage

A Drug Hunter é uma plataforma de mídia científica especializada e inteligência que organiza notícias, estudos de caso, análises de patentes, perfis de moléculas e conteúdo de webinars focados na descoberta e desenvolvimento de medicamentos de pequenas moléculas e biológicos. O site destaca divulgações pré-clínicas e clínicas, insights em química medicinal, ciência translacional e destaques de propriedade intelectual para pesquisadores, profissionais de biotecnologia/farmacêutica e investidores. A Drug Hunter também realiza webinars e palestras rápidas e oferece recursos voltados para manter a comunidade de descoberta de medicamentos informada sobre avanços em pipelines e tecnologias de descoberta.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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