Director, Scientific Data

🕒 il y a 29 jours

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

⏰ Temps Plein

🔴 Expert

👔 Directeur

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Drug Hunter

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2018

🏥 Santé

💼 Conseil

🍽️ Alimentation et boissons

Healthcare • Consulting • Food & Beverage

Drug Hunter est une plateforme spécialisée de médias scientifiques et de renseignements, qui sélectionne des actualités, des études de cas, des analyses de brevets, des profils de molécules et du contenu de webinaires axés sur la découverte et le développement de médicaments à petites molécules et biologiques. Le site met en lumière les divulgations précliniques et cliniques, les insights en chimie médicinale, la science translationnelle et les points forts en matière de propriété intellectuelle (PI) pour les chercheurs, les professionnels de la biotechnologie/pharmaceutique et les investisseurs. Drug Hunter organise également des webinaires et des flash talks, et propose des ressources visant à tenir la communauté de la découverte de médicaments informée des avancées en matière de pipeline et des technologies de découverte.

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.

🎯 Exigences

• 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

🏖️ Avantages

• 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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