Department of Biomedical Informatics, Harvard Medical School

Summary

We are seeking a highly motivated and skilled Postdoctoral Researcher to join the labs of Dr. Isaac Kohane and Dr. Chirag Patel at Harvard Medical School Department for Biomedical Informatics. This position offers an exciting opportunity to contribute to cutting-edge research in single-cell transcriptomics with a specific focus on aging. The successful candidate will work collaboratively with Dr. Kohane's lab, Dr. Chirag Patel's lab, and Dr. Lee Rubin's lab at Harvard's Stem Cell and Regenerative Biology Department. This collaborative effort aims to advance our understanding of the molecular mechanisms underlying aging and age-related diseases using state-of-the-art single cell transcriptomic technologies.

Job Responsibilities

• Conduct experiments in the field of single cell transcriptomics to investigate the molecular changes associated with aging and age-related diseases.
• Perform data analysis and interpretation of single cell transcriptomic datasets, including data preprocessing, quality control, differential expression analysis, and identification of cell subtypes and their gene expression profiles.
• Collaborate closely with Dr. Isaac Kohane's lab, Dr. Chirag Patel's lab, and Dr. Lee Rubin's lab to integrate single cell transcriptomic data with other omics data types, such as genomics, epigenomics, and proteomics, to gain comprehensive insights into the aging process.
• Contribute to the development and optimization of novel single cell transcriptomic methodologies and technologies for studying aging and age-related diseases.
• Work on the application of computational and statistical approaches, including machine learning algorithms, for the analysis and interpretation of single cell transcriptomic data.
• Publish research findings in high-impact scientific journals and present research outcomes at conferences and seminars.
• Collaborate with other members of the research teams, including graduate students and technicians, providing guidance and support in their research projects related to single cell transcriptomics and aging.
• Stay up-to-date with the latest advancements in single cell transcriptomics, aging biology, and computational approaches, actively participating in scientific discussions and journal clubs.

Requirements

• Ph.D. in a relevant field, such as Computational Biology, Bioinformatics, or a related discipline with a track record of publishing high-quality research papers in the field.
• Strong expertise and hands-on experience in single cell transcriptomics data including preprocessing pipelines and downstream analyses.
• Research background in the biology of aging and age-related diseases.
• Proficiency in R or Python.
• Experience with computational and statistical approaches, including machine learning algorithms, for analyzing biological data.
• Familiarity with integrating multi-omics datasets and applying computational approaches for integrative analysis is highly desirable.

Apply

To apply, please submit a cover letter, detailed curriculum vitae, a list of references, and copies of your most significant publications or preprints to p1@zaklab.org.

Location: Canada (Toronto, Waterloo, Vancouver, Montreal)

What's the opportunity?

As a Senior Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

• Developing novel AI solutions that facilitate impactful products;
• Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
• Working with the development team to transfer research work into production;
• Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
• Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.

You’re our ideal candidate if you have:

• A passion for solving open problems using data and algorithms;
• A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
• Ability to formulate and drive a research project independently without close supervision;
• Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch;
• Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset;
• Experience with time series or event forecasting, especially with asynchronous data, is an asset.