Potentially a Good Fit for PTI?

Parallel Squared Technology Institute (PTI) is a non-profit research institute aiming to catalyze a leap in protein analysis technology and use it to explore new biological frontiers. PTI supports open research and educational opportunities supporting rapid career development for scientists, engineers, and mathematicians.
Why? Protein dysfunctions directly cause many diseases, such as Alzheimer’s disease. Yet, proteins remain understudied because of technological hurdles.
How? To resolve these limitations, PTI will develop mass tags enabling a new framework for multiplexed protein analysis by mass spectrometry towards achieving 100-fold increase in throughput. Scientists at and collaborating with the institute will use these gains to directly investigate disease mechanisms and resolve problems that have proven intractable for decades. Our proof of principle technology and strategies are outlined at: parallelsq.org.
Who? PTI’s new approach requires synergy between a diverse team of chemists, machine learning engineers, biologists and mass spectrometrists. Alzheimer’s disease and aging will be among the first focuses of this technology-driven research organization.
New career opportunitiesMembers of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.  

Qualifications we are generally interested in for different roles:

• Master’s or PhD in Computational Biology, Bioinformatics, Bioengineering, Molecular Biology, Neurobiology, or related field. BS degree with at least 3 years of experience are also welcome to apply.
• Experience with LC-MS/MS, particularly for proteomics.
• Able to develop highly-sensitive workflows for data acquisition by LC-MS/MS pipelines.
• Experience collaborating with biologists, chemists, research associates, computational scientists, and mass spectrometrists to leverage PTI's multiplexing platform.
• Experience in large-scale analyses that involve many samples, such as thousands of single cells or bulk tissues, and then visualizing datasets with Python and/or R as well as the command line.
• Reproducible research using tools such as git, Jupyter notebooks, etc.
• Experience with cloud environments such as AWS or Google Cloud. 
• Preparation and analysis of brain samples, or equivalent working experience. In particular, preparing human brain tissue for downstream protein analyses.