If you are interested in any of the positions listed below, please send your CV, an outline of your research interests, and names, email addresses, and telephone numbers of three references to Dr. William Terry

Position: Postdoctoral Fellow in Cardiovascular Calcification Research at NRB

Full/Part Time: Full Time

Investigator: Aikawa, Elena

Date Posted: 2019-01-16

Description: A postdoctoral fellow position is available in the Aikawa Elena laboratory at the Center for Excellence in Vascular Biology, Brigham and Women’s Hospital, Harvard Medical School. Our goal is to better understand the mechanisms of ectopic calcification in atherosclerotic arteries and cardiac valves, which leads to acute coronary events, aortic valve stenosis, and heart failure. We particularly focus on the inflammatory aspects of these calcific diseases. Our task requires a multidisciplinary research team consisting of investigators with broad experience in cellular and molecular biology and expert knowledge in innate and adaptive immunity. Research focus will include investigation of therapeutic targets and development of novel therapeutic strategies to combat cardiovascular calcification. The successful candidate will enjoy excellent training opportunities in a collaborative research environment and will be exposed to a wide array of state-of-the-art technologies, including cellular and molecular biology, single cell analysis, proteomics and systems biology, histopathology, innovative animal models, and molecular imaging. There will be many opportunities to benefit from the rich and diverse scientific environment of Harvard Medical School and through the group established collaborations.

Requirements: The candidate requires an MD, PhD, or equivalent doctoral degree, and should have excellent experimental and analytical skills in cellular and molecular biology, and a record of publications in cardiovascular biology, immunology, calcification, bone metabolism, or related disciplines. The position also requires the ability to work independently as well as to perform effectively within a team. Excellent organizational, communication, and writing skills are essential. Experience with small animal in vivo experiments is preferred. We expect a strong interest in cardiovascular pathophysiology, outstanding motivation and creativity, and a firm commitment to productivity. Please send your CV, an outline of your research interests, and names and addresses of three references to Dr. Elena Aikawa at eaikawa@bwh.harvard.edu

Position: Postdoctoral Fellowship Position in Bioinformatics for Mass Spectrometry-based Proteomics Research

Full/Part Time: Full Time

Investigator: Singh, Sasha A.

Date Posted: 2018-11-21

Description: The Center for Interdisciplinary Cardiovascular Sciences (CICS; Director: Masanori Aikawa, MD, PhD) at the Brigham and Women’s Hospital (BWH), a Harvard-affiliated hospital, is seeking a postdoctoral research fellow to contribute to its bioinformatics program within the Proteomics Research Group (Director: Sasha Singh, PhD).

Responsibilities: We are seeking individuals to collaborate with biologists on three major endeavors: 1) Analysis of high dimensional data acquired from a multi-omics study that includes one or more of proteomics, metabolomics and transcriptomics for drug target discovery. 2) Posttranslational modification mapping and characterization. 3) Expanding on current targeted proteomics workflows and implementation of spectral libraries into peptide identification workflows. Additional projects that would interest the candidate include single-cell transcript profiling and systems biology/network analysis aimed to predict the beneficial and off-target effects of putative therapeutics. The successful candidate will be able to collaborate with a number of talented researchers, will guide them through their research endeavors and will be a co-author on publications arising from these projects.

Requirements: The candidate must have a PhD or equivalent experience. The candidate will help to expand a bioinformatics program for mass spectrometry-based target discovery platforms. Specific skill requirements include data analysis with statistics, script languages such as Python, programming languages such as C, C++, C# or JAVA, and scripting in Linux/UNIX. Experience with computational mass spectrometry analysis is preferred; however, basic knowledge of mass spectrometry or equivalent biochemistry will also be considered. Experience in systems biology and/or machine learning is also advantageous. We also expect an individual with outstanding motivation and a firm commitment to productivity.