Bioinformatician-Computational Biologist Associate

Please review the job summary and apply with a cover letter stating your interest in the position and outline skills and experience that relate to this position along with research interests, career aspiration.

The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and deep learning approaches to analyze single-cell sequencing and spatial expression data, including single-cell RNA-seq (scRNA-seq), single-nucleus ATAC-seq (snATAC-seq), and multiomic single-nucleus RNA-/ATAC-seq data. The primary responsibilities of the Computational Scientist include deriving biological insight from single-cell sequencing data across neurodegenerative dementias and developing novel methods for computational analysis of emerging technologies, such as multiomic sequencing and spatial transcriptomics.

This position is hybrid.

The Computational Scientist will stay current in the latest single-cell sequencing analysis methods and their biological application by attending and presenting at conferences. They will expand their professional network through collaborations with our external investigators and consortia (AMP-AD and Resilience-AD). Finally, they will have significant growth opportunities to develop novel and evaluate existing methods in the rapidly evolving field of single-cell and multiomic sequencing and to deploy them in advancing biological discoveries.

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 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 scRNA-seq, snATAC-seq, multi-omic RNA-/ATAC-seq, and/or spatial transcriptomics data from quality control through generation of results under minimal supervision.
• Develop and publish manuscripts related to using multi-scale data for predicting disease and biological phenotypes from single-cell sequencing data, making them accessible to the community as well documented packages/libraries shared in online repositories (e.g., AD-Knowledge Portal).
• Provide leading contributions to internal and external grant applications.
• Participate in departmental and project activities, participate in conducting courses and workshops, help lab members, present results to the research community, and at conferences and workshops.
• Perform additional duties as assigned, according to research or lab needs.

Qualifications:

• Education: Must possess a MS in bioinformatics, statistics, biostatistics, computer science or a related field.
• Excellent verbal and written communication skills.
• Proficiency in Python and/or R in a Linux environment.
• Strong initiative, and motivation to learn new technologies and biological domains.
• An ability to explore and research new challenges creatively and with limited supervision.
• A background in running molecular dynamics simulations.