Job DescriptionOperating within a highly collaborative global research network for Alzheimer's disease at Boston University School of Medicine, the successful applicant will:
- Maintain and update web-based database systems for Alzheimer's disease.
- Develop and implement artificial intelligence (AI) and machine learning (ML) pipeline and software tools for patient subtyping, target prioritization, and drug repositioning projects for Alzheimer's disease.
- Conduct high-level AI-enabled analyses across diverse data modalities including genomics and multi-omics data, alongside imaging, fluid biomarker, digital health, and drug data.
- Manage code repositories, standardization of software tools, and comprehensive technical documentation for reproducible research.
- Prepare reports and manuscripts.
- Provide technical support and train to a multidisciplinary team of faculty and trainees.
Required SkillsThis position requires a Bachelor's degree with 2+ years of work experience or a Master's degree in Computer Science or Software Engineering. Successful candidates demonstrate significant experience in AWS/Linux cloud environments and GitHub/GitLab repository and advanced proficiency in AI programing and tools such as Python, R Shiny, and frameworks for Large Language Models (LLMs) or Graph Neural Networks (GNNs).
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.
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