17 часов назад
Associate Director, AI Clinical Scientist (AI)
169 222 - 253 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, AI Clinical Scientist (AI and drug development): Developing and applying traditional and generative AI solutions for scientific data analysis, biomarker discovery, and evidence generation across drug development with an accent on machine learning, LLMs, digital health technologies, and clinical and real-world data. Focus on conducting proof-of-concept initiatives, evaluating AI integration into R&D workflows, and guiding cross-functional teams in building advanced analytical products.
Location: Princeton, New Jersey, United States
Salary: $169,222–$253,000 per year, plus incentive opportunity
Company
is a pharmaceutical company developing medicines and evidence-based solutions through research, data science, and innovation.
What you will do
- Lead strategic and technical development of AI and data science solutions across discovery, preclinical, and clinical drug development.
- Apply machine learning, generative AI, LLMs, tokenization, and digital health technologies to scientific and clinical data.
- Develop advanced analyses of sensor, digital, metabolomics, proteomics, and genomics data to support biomarkers, endpoints, and decision-making.
- Conduct proof-of-concept initiatives and assess the feasibility and impact of integrating AI models into R&D workflows.
- Guide the planning, implementation, evaluation, and optimization of data science solutions and analytics systems.
- Collaborate with internal and external stakeholders, advise teams on AI and ML use, and contribute to scientific publications.
Requirements
- 5+ years of experience in AI and advanced data science within pharmaceutical or biotech R&D.
- Expertise in scientific data analysis, drug development, real-world data, biomarkers, endpoints, and scientific or value evidence.
- Proficiency in AI, generative AI, machine learning, PyTorch, TensorFlow, LLMs, and related analytical technologies.
- Expertise in digital health technologies and their applications in pharmaceutical research.
- Strong project management, strategic thinking, communication, collaboration, and problem-solving skills.
- Ability to work in the United States at the Princeton, New Jersey location.
Culture & Benefits
- Cross-functional collaboration with scientific, technical, and business stakeholders.
- Opportunities to guide team members, provide training, and foster innovation in AI and data science.
- Medical, dental, vision, prescription drug, life, disability, and other insurance coverage.
- Tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs.
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