Post-DocApplications Closed
Professor Jesse Meyer
Milwaukee, United States
Apply by Dec 31, 2022
Application deadline
Dec 31, 2022
Job
Job location
Professor Jesse Meyer
Milwaukee, United States
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Dec 31, 2022
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Professor Jesse Meyer
Job Description
The Omics Data Science Lab led by Dr. Jesse Meyer at the Medical College of Wisconsin in Milwaukee seeks postdoctoral fellows or research scientists to spearhead studies in three areas of research focus:
1) Neurodegeneration. We develop iPSC-derived models of neurodegeneration for high throughput multi-omic analysis to discover drugs and enable understanding of neuroprotective pathways. The applicant will have a PhD (or MD with substantial laboratory experience) related to neuroscience or neurobiology. Expertise in Alzheimer’s disease or amyotrophic lateral sclerosis, iPSC-derived neurons, cellular assays, imaging, are desired.
2) Multi-Omics. We develop and apply new mass spectrometry methods to collect quantitative molecular data from biological systems more quickly (Meyer et al., Nature Methods, 2020). The applicant will have a PhD (or MD with substantial laboratory experience) related to analytical chemistry, especially mass spectrometry-based proteomics and/or metabolomics and/or associated bioinformatic skills especially machine learning. The multi-omic analysis methods we develop will be paired with machine learning to understand changes in metabolism associated with disease.
3) Data Science. We develop and apply machine learning methods to biological problems (Meyer et al. JCIM 2019, Overmyer et al. Cell Systems 2021, Dickinson and Meyer bioRxiv 2021). The applicant will have a PhD (or MD with substantial laboratory experience) related to computational biology especially machine learning and deep learning. Expertise in cheminformatics is preferred. Projects relate to chemical effect prediction and automated interpretation of omic data.
Applicants must have experience in one of the above focus areas, and interest in learning the other focus areas is desired.
The Omics Data Science Lab led by Dr. Jesse Meyer is a basic and translational research group in the Department of Biochemistry at the Medical College of Wisconsin. We have our own mass spectrometer (Orbitrap Exploris 240 with FAIMS) and related support equipment, and access to abundant human samples paired with EHR data through the MCW tissue bank and clinical data warehouse.
The Medical College of Wisconsin is the 3rd largest private medical school in the United States and ranks in the top 1/3 of medical schools for NIH funding received.
Successful applicants are expected to work independently in a collegial and supportive yet demanding environment. Potential for self-funding is welcome but not essential.
Inquiries and applications (including CV, contact info for 2-3 references, and reprints of 2 most significant publications) should be directed to:
Jesse G. Meyer, Ph.D.
Assistant Professor, Department of Biochemistry, Medical College of Wisconsin
jesmeyer@mcw.edu
www.jessemeyerlab.com
1) Neurodegeneration. We develop iPSC-derived models of neurodegeneration for high throughput multi-omic analysis to discover drugs and enable understanding of neuroprotective pathways. The applicant will have a PhD (or MD with substantial laboratory experience) related to neuroscience or neurobiology. Expertise in Alzheimer’s disease or amyotrophic lateral sclerosis, iPSC-derived neurons, cellular assays, imaging, are desired.
2) Multi-Omics. We develop and apply new mass spectrometry methods to collect quantitative molecular data from biological systems more quickly (Meyer et al., Nature Methods, 2020). The applicant will have a PhD (or MD with substantial laboratory experience) related to analytical chemistry, especially mass spectrometry-based proteomics and/or metabolomics and/or associated bioinformatic skills especially machine learning. The multi-omic analysis methods we develop will be paired with machine learning to understand changes in metabolism associated with disease.
3) Data Science. We develop and apply machine learning methods to biological problems (Meyer et al. JCIM 2019, Overmyer et al. Cell Systems 2021, Dickinson and Meyer bioRxiv 2021). The applicant will have a PhD (or MD with substantial laboratory experience) related to computational biology especially machine learning and deep learning. Expertise in cheminformatics is preferred. Projects relate to chemical effect prediction and automated interpretation of omic data.
Applicants must have experience in one of the above focus areas, and interest in learning the other focus areas is desired.
The Omics Data Science Lab led by Dr. Jesse Meyer is a basic and translational research group in the Department of Biochemistry at the Medical College of Wisconsin. We have our own mass spectrometer (Orbitrap Exploris 240 with FAIMS) and related support equipment, and access to abundant human samples paired with EHR data through the MCW tissue bank and clinical data warehouse.
The Medical College of Wisconsin is the 3rd largest private medical school in the United States and ranks in the top 1/3 of medical schools for NIH funding received.
Successful applicants are expected to work independently in a collegial and supportive yet demanding environment. Potential for self-funding is welcome but not essential.
Inquiries and applications (including CV, contact info for 2-3 references, and reprints of 2 most significant publications) should be directed to:
Jesse G. Meyer, Ph.D.
Assistant Professor, Department of Biochemistry, Medical College of Wisconsin
jesmeyer@mcw.edu
www.jessemeyerlab.com
Requirements
- python programming including sklearn and tensorflow/pytorch
- cell culture
- microscopy
- mass spectrometry proteomics and metabolomics
Job
Job location
Professor Jesse Meyer
Coordinates pending.