Scientist - Mass Spectrometry & Infectious Disease

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As part of a new intramural collaborative effort that spans our Quantitative Cell Science, Infectious Disease, and Technology Initiatives, we seek to comprehensively map how human cells get hijacked and remodeled during viral infection. In this context, we are investing resources and talent in cell biology, live-cell microscopy, biochemistry and genome engineering. One of our goals is to contribute open-source curated datasets that can be re-used by the entire community (see for example OpenCell).

This role will be a key collaborator embedded in our Intracellular Architecture and Mass Spectrometry Platform groups. This is a great opportunity to be part of a collegial multi-disciplinary team that combines genomics, high-throughput live cell imaging, mass-spec proteomics/metabolomics and robotics to decipher disease mechanisms.

We are seeking a Scientist to help establish an experimental and analytical proteomics pipeline to map how viruses remodel infected human cells and dissect associated molecular mechanisms (BSL-2 viral models). In collaboration with others at the Biohub,

You will

• Fractionate, enrich, and isolate cell compartments relevant to infection progression
• Study protein networks using mass spectrometry-based proteomics
• Develop and optimize new mass spectrometry-based analytical techniques
• Analyze datasets
• Author publications
• Mentor junior colleagues

You have

Essential –

• Ph.D. in Cell Biology, Molecular Biology, Developmental Biology or a related field
• Proven track record in mass spectrometry-based analysis of large data set
• Demonstrable competency in mass spectrometer operation
• Strong knowledge of cell biology, cellular organelles, innate immune responses
• Broad understanding of modern analytical chemistry techniques
• Strong foundation in cell culture and molecular biology
• General enthusiasm for cellular mechanisms, systems biology, and open-source science
• Must be highly collaborative, team-oriented, and have excellent written and oral communication skills

 Nice to have –

• Direct experience with infection models
• Coding experience (Python, R, Matlab or similar languages)
• Previous experience with Bruker tims-TOF platform
• Prior analysis of Ion-Mobility mass spec data
• Experience integrating multi-omic datasets