Translational Neuroscience Lead

Bristol Myers Squibb; Princeton (NJ); On-site; USD 160,000 - 194,000; Full time

Job summary

Bristol Myers Squibb is seeking an Associate Director, Translational Medicine, Neuroscience in Princeton, NJ. This role leads translational disease strategies in Alzheimer’s/Neurological diseases and drives cross-functional collaborations with IT, bioinformatics, data science, statistics and external partners.

The position requires a PhD with extensive post-PhD leadership in multimodal data analysis and a strong publication record.

Qualifications

• PhD in neuroscience-related field with leadership in multimodal data
• Minimum 8 years post-PhD with leadership in integrating and interpreting multimodal data
• Strong neuroscience background focused on Alzheimer’s; immunology knowledge a plus

Responsibilities

• Develops translational disease strategy in Alzheimer’s/Neuro areas with deep disease expertise
• Leads and oversees execution of disease strategy and patient selection
• Represents translational neuroscience knowledge in cross-functional teams
• Manages cross-functional disease project teams with key interfaces across IT, bioinformatics, data science and statistics
• Leads collaborations with academia and industry to identify biobanks and clinical data for biomarker discovery
• Guides bioinformatics partners to deliver biomarkers from multi-omics data
• Communicates analysis results to regulatory, clinical and commercial stakeholders
• Publishes findings in high-quality scientific journals

Skills

PhD in neuroscience

8+ years post-PhD experience

Alzheimer’s disease neuroscience

Scientific leadership

Education

PhD in neuroscience-related field

Job description

Bristol Myers Squibb is seeking an Associate Director, Translational Medicine, Neuroscience in Princeton, NJ. This role leads translational disease strategies in Alzheimer’s/Neurological diseases and drives cross-functional collaborations with IT, bioinformatics, data science, statistics and external partners.

The position requires a PhD with extensive post-PhD leadership in multimodal data analysis and a strong publication record.