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QUALIFICATIONS Education: Ph.D. in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze
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experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications
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Medicine (MD) or PhD in Epidemiology or related field required. No previous experience required. Prefer at least 6 months of related experience working on public health research projects. Knowledge, Skills
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. Department Specific Functions Research and Development: Develop and apply AI and machine learning models to analyze large-scale cancer datasets, including genomics, transcriptomics, and proteomics data. Data
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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, and optimize the REDCap database for large-scale electronic data collection, ensuring data quality and integrity. Train and supervise a team of Mental Health Consultants, research assistants, and
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planning and capacity building for new research initiatives, particularly those related to harm reduction and telehealth-based care. Mentor MPH and PhD students through collaborative research, manuscript
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necessary. CORE QUALIFICATIONS Education: PhD, MD degree required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
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or Ph.D. in relevant field Certification and Licensing: Not Applicable Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability
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not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. MINIMUM QUALIFICATIONS Ph.D. in relevant field, or PhD in molecular genetics, genomics