
51 - 200 Mitarbeiter
Gegründet 2013
🏥 Gesundheitswesen
💼 Beratung
💊 Pharmazie
Healthcare • Consulting • Pharmaceuticals
Appsilon ist ein Technologieunternehmen, das mit Organisationen in den Bereichen Lebenswissenschaften und Pharmazie zusammenarbeitet, um Open-Source, validierte Datenanalysen- und Visualisierungslösungen mit R, Python und Shiny zu erstellen. Sie bieten cloud-native Statistik-Computing-Umgebungen (SCEs), GxP-konforme Infrastruktur, Axon. R Validierungstools und die Migration von SAS zu Open-Source, um die klinische Entwicklung, regulatorische Einreichungen und Unternehmensanalysen in stark regulierten Umgebungen zu beschleunigen. Appsilon liefert B2B-Dienstleistungen, die Softwareentwicklung, Datenwissenschaft und KI kombinieren, um praxistaugliche klinische Apps, Dashboards und Automatisierungslösungen für Pharma- und Lebenswissenschaftsunternehmen zu produzieren.
🕒 vor 4 Monaten
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
Gegründet 2013
🏥 Gesundheitswesen
💼 Beratung
💊 Pharmazie
Healthcare • Consulting • Pharmaceuticals
Appsilon ist ein Technologieunternehmen, das mit Organisationen in den Bereichen Lebenswissenschaften und Pharmazie zusammenarbeitet, um Open-Source, validierte Datenanalysen- und Visualisierungslösungen mit R, Python und Shiny zu erstellen. Sie bieten cloud-native Statistik-Computing-Umgebungen (SCEs), GxP-konforme Infrastruktur, Axon. R Validierungstools und die Migration von SAS zu Open-Source, um die klinische Entwicklung, regulatorische Einreichungen und Unternehmensanalysen in stark regulierten Umgebungen zu beschleunigen. Appsilon liefert B2B-Dienstleistungen, die Softwareentwicklung, Datenwissenschaft und KI kombinieren, um praxistaugliche klinische Apps, Dashboards und Automatisierungslösungen für Pharma- und Lebenswissenschaftsunternehmen zu produzieren.
• Take the lead in designing smart, compliant, and impactful solutions for top pharma companies. • Drive innovation through R, SAS, and AI, and transform how life sciences use data to make decisions. • Act as the main technical contact for our pharma clients, helping them define their goals and find the right solutions. • Lead pre-sales activities: understand client needs, propose solutions, and support our teams to win deals. • Own solution architecture for key accounts, guiding engineering teams, and supporting delivery managers. • Build custom tools, automation scripts, and apps (mainly in R) to speed up delivery and improve quality. • Guide clients through the regulatory submission process (FDA, EMA, PMDA), including standards like CDISC, SDTM, ADaM, and define.xml. • Represent the company at industry events and conferences – speaking, sharing insights, and leading discussions.
• Strong hands-on skills in R (Shiny, Tidyverse, reporting tools) and SAS (Base, Macro, Graph). • Experience building internal tools and automations that improve speed and quality of work. • Deep knowledge of clinical data workflows and submission requirements (ISS/ISE, CDISC standards). • Background in both pre-sales (scoping, proposals) and delivery leadership (technical guidance, architecture). • Good understanding of AI solutions and how to implement them in the Client’s software solutions landscape. • Confident speaker and presenter - you enjoy sharing knowledge at conferences or team meetings. • Excellent communication skills - able to work with both business and technical teams. • Comfortable working in a fully remote, global environment.
• Fully remote work, with flexibility to adapt your schedule to project and client needs. • The opportunity to lead and shape high-impact solutions for global pharma and life sciences organizations, influencing how data supports drug development and regulatory decisions. • A senior, advisory role with real ownership - from pre-sales and solution design to guiding delivery and technical direction. • Competitive compensation, tailored to your experience and chosen form of cooperation, with clear and transparent terms. • Performance-based annual bonus linked to successful deal closures and company growth. • Time and budget for continuous professional development, including conferences, certifications, and industry events. • Collaboration with experienced architects, statisticians, data scientists, and industry experts in a supportive, knowledge-driven environment. • Modern equipment (MacBook or ThinkPad with Linux) and tools that enable efficient, high-quality work. • A remote-first culture built on trust, accountability, and partnership.
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