-
to articulate a growing research portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please
-
analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
-
studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
-
into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
-
large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
-
for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming
-
to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
-
, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
-
with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
-
position in the Sinclair Lab at Harvard Medical School in Boston Massachusetts. The work of the Sinclair Lab is focused on analyzing large-scale biological datasets to identify key molecular pathways