Biostatisitican I CDNM

The Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School are seeking applicants for a Bioinstatistician position to contribute to epidemiological studies led by Associate Professor Jessica Lasky-Su, in the Massachusetts General Brigham Biobank (MGBB). Utilising Electronic Health Records (EHR) and multi-OMIC data, these longitudinal studies aim to understand, prevent and treat incidence of chronic diseases and ageing. Working closely with Dr. Lasky-Su, the Biostatistician will be responsible for harnessing EHR data to develop predictive models, in addition to integrating multi-omic data (genomics, epigenetics, proteomics, transcriptomics, metabolomics), using advanced computational techniques such as deep learning and natural language processing (NLP). The candidate is expected to have a high level of technical expertise with big-data analyses. The Channing Division of Network Medicine represents a diverse and highly collaborative research community that is focused on deciphering the etiology of complex diseases. The lab benefits from active collaborations with computational, biostatistical, and networking experts. We also work with state-of-the-art laboratories for the generation of 'omics' data and have established bioinformatic pipelines for cleaning and preparing data for analysis. The Biostatistician will primarily be working on the statistical analysis and scientific write up of projects based on cohorts from the MGBB, which in addition to EHR data, will have a wealth of multi-omic data and cover lifestyle, behavior, dietary and environmental risk factors. These outstanding resources offer the potential for a high-quality candidate to address scientific questions of interest and to develop their research career in a vibrant environment. We are seeking highly motivated and analytically-capable applicants who have a strong interest in progressing the field through impactful science.