How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Kaczorowski lab at the University of Michigan is recruiting post-doctoral scholars to study computational science and the genomics of Alzheimer’s disease and related neurodegenerative dementias. This position will involve statistical models and analyzing large datasets including genetic, epigenomic, transcriptome, single-cell, and population data. The Kaczorowski lab utilizes cutting-edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to identify factors of ‘normal’ cognition despite inheritance of causal mutations. The Kaczorowski Lab team values excellence, integrity, diversity, impact and kindness - and we are looking for postdoctoral trainees who are enthusiastic, creative and experienced with computational science.
The Kaczorowski lab is in the Department of Neurology at the University of Michigan Medical School located in Ann Arbor, Michigan. The city is ranked among the top 10 places to live in the U.S, with a community that is culturally rich, diverse, pedestrian and bike friendly. The Michigan Neuroscience Institute (MNI) continues to be a leader in innovative, collaborative, and visionary research in the areas of brain science and brain impacting diseases. MNI’s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab.
The successful candidate will be able to plan, develop, execute, and analyze an independent research project in the context of a supportive lab and institutional environment. In addition, they will supervise and help train graduate students, undergraduate research assistants, and junior technicians in the lab. We are looking for someone that has the aptitude to learn new techniques, works well with others, and possesses strong critical thinking skills.
- Analyze complex genomic/proteomic datasets to generate biological insights in the context of neurodegeneration detection and progression.
- Contribute to analysis methodologies and perform end-to-end analyses that include data gathering, processing, analysis, interpretation, and presentation of results.
- Help maintain lab organization and record all information in an official laboratory notebook and data/code repository.
- Present data and plans for new experiments during laboratory meetings.
- Collaborate with colleagues to develop and achieve short- and long-range plans.
- Assists with the creation of posters, manuscripts, and presentations for scientific meetings and/or grant submissions.
- Provides other support to the program as directed.
• Education: Must possess a Ph.D in bioinformatics, statistics, biostatistics, computer science or a related field.
- Experience with one or more of the following: next-generation sequencing workflows, transcriptional profiling analysis, single cell sequencing, genomics, proteome informatics, cloud computing, AI or machine learning.
- Experience with container-based management (Docker, Singularity), and Git/GitHub.
- Experience with large, public, Alzheimer's and aging related datasets such as The Religious Orders Study (ROS) and Rush Memory and Aging Project (MAP) respectively referred to as ROSMAP and online platforms and databases such as SAGE: A Software-Defined Sensor Network, UniProt, and ClinVar.
- Strong training background in computational biology.
- Other areas of experience/training include genetics or neuroscience.
- Familiarity with cell type-specific dynamics and genetic expression.
- Exceptional verbal and written communication skills.
- Self-motivated and career-oriented individual preferred.
- Minimum of one 1st author paper from graduate related research.
- Experience with statistical analysis; interprets and evaluates results and compiles data for peer and PI review.
- Strong statistical and computer programming skills, including scripting (i.e., MATLAB, R, Python, or equivalent).
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The University of Michigan is an equal opportunity/affirmative action employer.