1 день назад
Associate Director, Commercial AI Tech Lead (AI)
153 600 - 230 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Commercial AI Tech Lead (AI/Data Science): Evaluating and shaping scalable AI and advanced analytics solutions for commercial pharmaceutical use cases with an accent on forecasting, targeting, personalization, generative AI, and regulatory compliance. Focus on assessing build-versus-buy options, validating models and LLM architectures, defining MVPs, and guiding secure, measurable AI adoption across commercial functions.
Location: Remote for US-based candidates; Philadelphia, PA
Base salary: $153,600–$230,400 per year, plus potential bonus, equity, and benefits.
Company
is a global biopharmaceutical company developing medicines for serious diseases, with a portfolio spanning sleep disorders, epilepsy, oncology, and neuroscience.
What you will do
- Apply data science and AI expertise to commercial use cases including forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization.
- Provide technical guidance on generative AI applications for field, marketing, and operations teams, including pre-call planning, content generation, research, summarization, and search.
- Evaluate LLM strategies, solution architectures, model designs, data requirements, validation, explainability, monitoring, scalability, and operational readiness.
- Assess build-versus-buy options and conduct technical due diligence of third-party vendor solutions.
- Prioritize AI initiatives, define success metrics, design pilots and MVPs, and identify opportunities to reuse and scale capabilities across brands and markets.
- Partner with Commercial, Data Engineering, Architecture, Security, Privacy, and Compliance teams to deliver secure, scalable, governed AI solutions.
Requirements
- Strong understanding of machine learning techniques, model evaluation, and real-world deployment considerations.
- Experience evaluating third-party AI solutions against internally developed approaches.
- Experience working in regulated environments with privacy, compliance, explainability, bias assessment, and documentation requirements.
- Experience with commercial data sources such as CRM, claims, promotional, and digital engagement data.
- Strong communication and collaboration skills, including the ability to influence without formal authority in a matrixed enterprise.
- Must be a US-based candidate. Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, a quantitative social science, or a related quantitative field is required; an advanced degree is preferred.
Culture & Benefits
- Patient-focused and science-driven work in a global biopharmaceutical environment.
- Medical, dental, and vision insurance.
- 401(k) retirement savings plan and flexible paid vacation.
- Potential annual cash bonus or incentive compensation and discretionary equity grants.
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