Director, Scientific Data

🕒 vor 1 Monat

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Vollzeit

🔴 Experte

👔 Direktor

👻 Geisterscore 12%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 33 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 28 Tagen besetzt.
• Kein Gehalt angegeben.

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Drug Hunter

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2018

🏥 Gesundheitswesen

💼 Beratung

🍽️ Lebensmittel & Getränke

Healthcare • Consulting • Food & Beverage

Drug Hunter ist eine spezialisierte wissenschaftliche Medien- und Informationsplattform, die Nachrichten, Fallstudien, Patentanalysen, Molekülprofile und Webinar-Inhalte zu den Themen Wirkstoffsuche und -entwicklung im Bereich kleiner Moleküle und Biologika kuratiert. Die Seite bietet präklinische und klinische Offenlegungen, Einsichten in die medizinische Chemie, translationale Wissenschaft und Highlights des geistigen Eigentums für Forscher, Fachleute aus der Biotechnologie/Pharmaindustrie und Investoren. Drug Hunter veranstaltet außerdem Webinare und Kurzvorträge und bietet Ressourcen, die darauf abzielen, die Wirkstoffforschungsgemeinschaft über Fortschritte in der Wirkstoffpipeline und -technologie zu informieren.

Beschreibung

• 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.

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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