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Benefits offered by this job
Comprehensive health insurance
401(k) participation
Paid vacation and sick leave
Job summary
A leading pharmaceutical company in North Chicago is seeking a Postdoctoral Fellow in Computational Genetic and Safety Data Science. The successful candidate will develop AI-driven methodologies to connect genomic evidence and safety outcomes, crucial for advancing drug development. This role offers access to extensive datasets and collaboration with experts in genetics and patient safety. The ideal candidate holds a PhD in a relevant field and possesses strong programming skills in Python, alongside expertise in AI methodologies.
Qualifications
Experience with genomic data analysis, including variant interpretation.
Demonstrated ability to develop data visualization tools.
Track record of scientific creativity in research.
Responsibilities
Identify and curate internal and external genetic datasets.
Design AI systems for data querying and extraction.
Develop analytical methods to predict safety outcomes.
Skills
Strong programming skills in Python
Experience in applying advanced AI/ML methods
Knowledge of natural language processing
Proficiency in statistical analysis
Excellent communication skills
Education
PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology
Tools
Machine learning libraries
Database querying and management systems
Deep learning frameworks
Job description
A leading pharmaceutical company in North Chicago is seeking a Postdoctoral Fellow in Computational Genetic and Safety Data Science. The successful candidate will develop AI-driven methodologies to connect genomic evidence and safety outcomes, crucial for advancing drug development. This role offers access to extensive datasets and collaboration with experts in genetics and patient safety. The ideal candidate holds a PhD in a relevant field and possesses strong programming skills in Python, alongside expertise in AI methodologies.