Postdoctoral Associate

What you'll do

• Conduct genetic and bioinformatic analyses of Alpha-1 Antitrypsin deficiency using R or Python.
• Develop machine learning models and large language model (LLM) approaches for clinical risk stratification.
• Execute end-to-end statistical analyses on large-scale genomic and clinical datasets within secure research environments.
• Prepare technical papers, scientific progress reports, and original research articles for publication in peer-reviewed journals.
• Utilize high-performance computing and cloud-based environments to support scalable data processing and model development.
• Review scientific literature and abstracts to design new laboratory procedures and experimental techniques.
• Seek independent funding from foundations and associations for pilot studies with leadership approval.

What we're looking for

• A doctorate degree in a relevant field is required.
• Proficiency in Python and/or R for statistical analysis and biomedical data processing.
• Strong proficiency in machine learning and statistical modeling, including the development of predictive models using large-scale data.
• Proficiency in large language model (LLM) and natural language processing methods for analyzing unstructured clinical and biomedical data.
• Experience with cloud-based and high-performance computing environments to support scalable data processing.
• Ability to design and execute end-to-end statistical and bioinformatic analyses integrating genomic and clinical datasets.
• Strong written and verbal communication skills for reporting research and interacting with stakeholders.
• Ability to learn new technologies, procedures, and protocols while adapting to changing priorities.