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Featured Opportunities

Postdoctoral Associate - Neuroscience, Wang Lab

About the lab: The Xiao Wang group at the Broad Institute of MIT and Harvard is looking for an exceptional and energetic postdoctoral associate to join a rapidly growing, multidisciplinary research focused on developing and applying molecular and imaging tools (e.g. in situ RNA sequencing) to understand the complexity of the biological systems. 

About the position: This postdoctoral position will provide an exciting opportunity to develop new strategies for multiscale brain mapping in a vibrant and interdisciplinary environment and collaborate with team members from diverse backgrounds (chemistry, biophysics, genomics, and neuroscience). We emphasize the research training and career development for all lab members, and the candidate will have chances to interact with the research teams within Broad Institute and also the broader community in MIT, Harvard, and the Harvard-affiliated hospitals across Boston.

Qualifications

  • A PhD in physical/biological science, neuroscience, bioengineering, or related disciplines
  • Hands-on experience with microscopy, molecular biology, animal models, and gene delivery vectors
  • Self-motivated, creative, persistent, responsible, attention to details, good analytical and problem-solving skills, fast learner

Preferred Expertise

  • Fluorescence microscopy (living/preserved samples), electron microscopy (SEM/TEM), or CLEM (subcellular light and electron microscopy)
  • Design and generate AAV or lentivirus vector for the expression of transgenes in desired subcellular locations and desired cell populations
  • Design, characterization, and engineering of RNA: e.g. in situ hybridization, microarray, gel modification/editing, RNA localization, RNA-protein complexes, non-coding RNAs, synthetic RNAs, etc. 
  • Scientific investigation in neuroscience or other biological system at the molecular (nucleic acids, proteins, lipids) and cellular (subcellular organelles, granules, membranes, synapses) level

View this opportunity on Broad's Career site and apply.


Postdoctoral Associate, Peng Lab

Ultralong-term single-molecule imaging of cell signaling and protein-protein interactions

About the lab: The new Sam Peng lab at the Broad Institute of Harvard and MIT, and at the MIT Chemistry department, is currently recruiting Postdoctoral Associates motivated to help build a team to develop new optical microscopy methods that aim to significantly improve single-molecule measurement capabilities for in vitro, live cell and in vivo studies.

Single-molecule fluorescence microscopy has revolutionized our ability to study molecular interactions with extremely high spatial and temporal resolutions. However, its full advantage has not been fully realized, in part, due to the photo-instability of current probes. My lab will continue to develop novel nanoprobes and microscopy techniques to enable ultralong-term single-molecule imaging in order to study many unexplored biological systems by recording extremely long “molecular movies” in living systems.

The multidisciplinary research in my group aims to elucidate the molecular mechanisms by which human diseases occur. We develop and integrate a diverse toolbox spanning single- molecule microscopy, super-resolution microscopy, spectroscopy, nanomaterial engineering, biophysics, chemical biology, and quantitative modeling. We are particularly interested in studying molecular dynamics, protein-protein interactions, and cellular heterogeneity involved in neurobiology and cancer biology.

About the position: We are looking for enthusiastic, passionate, self-motivated and collaborative scientists to join our team. Many of the skills can be learned in the lab but the ideal candidate will come with experience in at least a few of the following areas: single-molecule microscopy, microscopy and spectroscopy, biophysics, nanoparticle synthesis and their biological applications.

Requirements:

  • A PhD in chemistry, physics, chemical engineering, bioengineering, or related fields.
  • Proven ability in microscopy, spectroscopy, or nanomaterials synthesis and their
  • applications.
  • Self-motivated and collaborative.

View this opportunity on Broad's Career Site and apply.


Postdoctoral Associate, Chen Lab

About the lab: This is a unique opportunity to join the Chen lab and the Klarman Cell Observatory. The Chen lab is developing methods for studying differences in developing novel genomic tools for studying the spatial organization of tissues. We operate in a highly collaborative, fast-paced environment, with ample learning and growth opportunities as we build our team.

We are pioneering tools to perform genomic, epigenomic, and transcriptomic assays in situ. These readouts are combining microscopy and next generation sequencing readouts, revealing a wealth of information about how the genome, epigenome, and transcriptome are organized in the spatial organization of cells and tissues, and how they work together to produce complex cellular behaviors.

About the position: We are looking for an exceptionally creative and self-motivated postdoctoral associate to join us in applying novel tools to apply to the dissection of tissue systems in collaboration with the KCO. The successful candidate will collaborate with internal and external groups to solve challenging biological problems. The work will be multi-disciplinary, combining molecular biology and microscopy and will work closely with immunologists, computational biologists, chemists, and engineers.

Key responsibilities include:

  • Responsible for development, validation, and optimization of novel in situ transcriptomic tools or tools to look at dynamic interactions between cells
  • Development of novel single cell, spatially resolved transcriptomic methods
  • Apply novel methods in the context of tissue biology
  • Use demonstrated scientific creativity, collaboration with others, and independent thought to expand technical capabilities and identify new research opportunities
  • Regular interaction with internal and external contacts, including Broad scientists, collaborators, students, postdocs, and external clinicians and industry leaders.
     

Qualified candidates should have:

  • Ph.D. in cell biology, bioengineering, chemical engineering, or biochemistry or related
  • Proven ability in molecular biology
  • Computational experience in analysis and interpretation of single-cell data
  • Experience in next generation sequencing workflow and analysis
  • Strong publication record and excellent communication skills
  • Excellent organization and time management skills
  • Demonstrated success in working on complex, novel research problems.

View this opportunity on Broad's Career Site and apply


Postdoctoral Associate, Popic Lab

Are you passionate about... building novel algorithms and systems to analyze and interpret the human genome ✧ working at the intersection of AI and healthcare  ✧  solving hard computational problems that can enable progress in medicine and enhance our understanding of the biological world?

Join Dr. Popic’s research group at the Broad Institute of MIT and Harvard and have fun solving 3-billion-piece puzzles every day! Our lab’s mission is to develop methods to unscramble the genomic sequence or mixture of sequences underlying the data we observe and figure out how variations in DNA sequences impact human genome diseases (such as cancer) and responses to available treatments. We build solutions that focus on scalability, sustainability, and generalizability – and involve combining new algorithmic problem formulations, with low-level system optimization, and biological insights about the problem domain. We design our tools to leverage the latest parallel computing platforms (such as the GPU and the cloud), as well as techniques from the fields of artificial intelligence and information theory. 

As a Postdoctoral Associate, your main focus will be to develop novel computational methods for the analysis and interpretation of large genomic datasets. The key problems we’re currently addressing include structural variant calling and genotyping, genome phasing, genome assembly, and synthetic data generation. By joining our lab, you will work in close collaboration with the large interdisciplinary community of scientists at the Broad Institute and its numerous affiliated institutions.

Responsibilities:

  • Develop novel machine learning algorithms for key computational problems in genomics
  • Perform large-scale experiments for method evaluation and optimization
  • Analyze a variety of large-scale genomic sequencing, graph, and image datasets
  • Implement, test, ship, and maintain high-quality open-source software tools
  • Communicate your research to the community via presentations and publications

Requirements:

  • Ph.D. degree in computer science, mathematics, statistics, computational biology, or a related discipline
  • Experience in some of the following areas: machine learning, computer vision, reinforcement learning, statistics, bioinformatics, graph theory, scientific computing, big data analytics
  • Strong software engineering skills
  • Experience with deep learning frameworks
  • A strong track record of research publications

View this opportunity on Broad's Career Site and apply.

 

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