Associate Director, Computational Biology

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $140.000 - $180.000 / Jahr

⏰ Vollzeit

🟠 Senior

👔 Direktor

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 10%

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.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Sage Bionetworks

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2009

🏥 Gesundheitswesen

💼 Beratung

📦 Logistik

Healthcare • Consulting • Logistics

Sage Bionetworks ist ein führendes Non-Profit-Unternehmen im Bereich der offenen Wissenschaft, das Datenplattformen und gemeinschaftsorientierte Werkzeuge entwickelt und betreibt, um die biomedizinische Forschung und Entdeckung voranzutreiben. Die Organisation ermöglicht sicheren Datenaustausch, die Wiederverwendung großer Datensätze und kollaborative Analysen - oft unter Verwendung von maschinellem Lernen und KI -, um das Verständnis von Krankheiten, Biomarkern und therapeutischen Reaktionen zu verbessern. Sage legt großen Wert auf radikale Zusammenarbeit, Transparenz und Infrastruktur (z. B. die Synapse-Plattform und ein Python-Client), um Forscher, Herausforderungen und Portale in einer Vielzahl biomedizinischer Bereiche zu unterstützen.

Beschreibung

• Lead and grow a multidisciplinary team focused on applied scientific research, biomedical data stewardship, and community engagement • Establish scientific direction, data management standards, and community-engagement practices with governance and platform teams • Ensure Sage’s data are Findable, Accessible, Interoperable, and Reusable (FAIR), aligned with GA4GH data-sharing standards, and trusted by the research community • Serve as a strategic partner to organizational leadership and connect data stewardship and community initiatives to Sage’s broader mission • Identify opportunities to expand adoption of Sage’s data assets and contribute to platform development priorities • Represent Sage with data generators, researchers, funders, consortium partners, and other stakeholders • Communicate the scientific value of managed data, data derivatives, and software platforms while identifying community needs and growth opportunities • Apply statistical, bioinformatic, and computational biology methods, including exploratory analysis, benchmarking, and tooling, to large-scale multi-omic data • Oversee curation, organization, annotation, and lifecycle management of biomedical datasets • Partner with the Privacy and Compliance Office on data governance frameworks and access-control models • Champion FAIR principles and relevant GA4GH standards, including data-use ontologies, federated data access, and genomic data-sharing frameworks • Lead harmonization of complex, multi-source biomedical datasets for cross-study and cross-consortium analysis and reuse • Identify and manage data governance, privacy, and compliance risks • Build and sustain internal and external researcher communities through engagement programs, meetings, documentation, and outreach • Coordinate research by external scientists and consortium partners using Sage’s data • Hire, manage, mentor, and develop multidisciplinary staff • Ensure effective data operations tools, systems, and practices, including responsible AI-assisted and agentic workflows • Lead grant proposals and funding strategies • Establish growth paths and continuously improve data management, governance, and community practices

🎯 Anforderungen

• Master’s or PhD in a relevant scientific, data, or informatics discipline, or equivalent depth of experience in lieu of an advanced degree • 8+ years of progressive experience in scientific research, biomedical data management, data governance, research data curation, or a closely related field • Leadership of complex, multi-stakeholder data or collaborative science initiatives • Experience working in multi-institutional collaborations and consortia • 3+ years of experience directly managing, mentoring, and/or developing data managers, computational biologists, bioinformaticians, or community engagement professionals • Track record of securing research funding, including at least one competitive NIH or comparable award • Experience across the proposal lifecycle, including opportunity identification, partner collaboration, budget and effort planning, and post-award reporting • Demonstrated experience applying open science and FAIR data principles and supporting responsible data sharing for human subjects data • Experience with GA4GH standards or comparable genomic/clinical data-sharing frameworks • Experience building or activating a research community around a shared data resource or platform • Experience collaborating with and coordinating external scientists or consortium partners • Experience managing funder relationships and communicating scientific and data value to program officers and sponsors • Ability to operate strategically while remaining close to data operations and community activity • Ability to influence decisions and create alignment across teams and leaders without relying solely on formal authority • Strong judgment and ability to navigate ambiguity, competing priorities, and evolving organizational needs • Effective verbal and written communication skills • Able to work effectively under deadlines • Strong problem-solving and analytical skills • Attention to detail and accuracy • Flexibility to adapt to changing environments, priorities and multitask • Travel two times per year for on-site events in Seattle, WA • Cover letter required; do not upload your resume as your cover letter

🏖️ Vorteile

• Comprehensive medical, dental, vision, life, AD&D, and long-term disability • Robust retirement plan • Flexible spending accounts (FSA) • Paid time off • Flexible work arrangements • Remote or hybrid arrangements within the United States • Virtual-first interviews conducted virtually • Reasonable accommodations during the application or interview process

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