Director, Product Science

🕒 il y a 22 jours

🇺🇸 États-Unis – Télétravail

💵 $164 000 - $205 000 / an

⏰ Temps Plein

🔴 Expert

👔 Directeur

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 5%

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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Datavant

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2017

🏥 Santé

💼 Conseil

⚕️ Assurance santé

💰 €40 000 000 Series B en 2020-10

Healthcare • Consulting • Healthcare Insurance

Datavant est une entreprise de plateforme de données de santé dédiée à rendre les données de santé mondiales sécurisées, accessibles et exploitables. Elle propose un réseau propriétaire qui facilite la connectivité des données dans l'écosystème de la santé, permettant à plus de 60 millions de dossiers de santé d'être partagés entre plus de 70 000 hôpitaux et un vaste réseau de partenaires de données réelles. En fournissant des solutions pour les régimes de santé, les prestataires de soins de santé et les sciences de la vie, Datavant joue un rôle essentiel dans l'amélioration des soins aux patients et la réalisation d'analyses dans le secteur de la santé.

Description

• Ensure the scientific credibility and rigor of Datavant Life Sciences’ real-world evidence and data discovery agents • Lead scientific agent conceptualization, including defining why an agent is needed and for whom • Define scientific problem statements, agent tasks, and bounds • Design scientific workflows, SME review and decision points, reference sets, and agent context • Design and apply scientific evaluations • Define and execute scientific internal testing requirements • Apply domain knowledge and RWE expertise to develop agents and agent systems for scientific tasks • Prepare scientific submissions for product and roadmap governance review, including evaluation sets and agent performance metrics • Serve as the subject matter expert on non-agentic scientific workflows relevant to agent systems • Lead scientific customer delivery for agent co-build, co-development, and co-design partnerships with pharma and data ecosystem customers • Ensure the scientific quality of contracted and delivered work, including customer-specific agentic RWE workflows, SOP applications, agent development, and agent evaluation • Contribute to agentic AI scientific thought leadership through blogs, webinars, and scientific meeting presentations • Support go-to-market teams by translating customer and competitor intelligence and identifying market signals

🎯 Exigences

• Doctorate or master’s degree in epidemiology, biostatistics, or a related field • Professional research experience in RWE, pharmacoepidemiology, HEOR, or a closely related field: at least 3 years after a doctorate or 6 years after a master’s degree for Director • Strong command of observational study design, healthcare data, and analytic methods • Ability to drive progress across cross-functional product teams, manage competing priorities, resolve scientific and product delivery challenges, and negotiate scope and timelines • Experience managing or providing matrix leadership to colleagues, including coaching and substantive feedback: at least 1 year for Director • Excellent scientific writing and communication skills • Extensive experience with multiple types of healthcare data used in RWE research and familiarity with analytic tools or evidence generation platforms such as R, Python, and Substantiate • Experience in scientific judgment, strategic problem-solving, and leadership of complex initiatives across scientific, technical, commercial, and operations functions • Experience developing scientific standards, study templates, quality processes, or methodological guidance • Experience representing an organization as a subject matter expert in workshops, webinars, and professional forums • Record of peer-reviewed publications, conference presentations, or other external scientific contributions • Experience leveraging AI tools such as agents or LLMs for scientific work products and fluency in basic AI terminology • This job is not eligible for employment sponsorship

🏖️ Avantages

• Total rewards strategy • Post-offer health screenings and vaccinations as required by clients • Reasonable accommodations for individuals with physical and mental disabilities • Equal employment opportunity protections

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