Are you interested in cellular imaging (particularly neuronal and glial cell types) and genomics to leverage open science in the fight against dementia? Then we have the job for you!
DataTecnica (DT) invites applications for this currently open position at the new Center for Alzheimer's and Related Dementias (CARD) at the National Institutes of Health. We facilitate growth for the research portfolios of numerous global initiatives in neurodegenerative disease space, with a focus on Alzheimer's and related dementias.
This position would support bioinformatics and imaging efforts focused on integrating large-scale multi-modal data types in various research applications - namely cellular imaging of neurons and other brain cells with single cell and potentially spatial-omics. The main responsibilities for this position include collaborating on the development implementation, execution and maintenance of common research pipelines. Some image training and system design will be necessary. This will also include generating plots, tables and figures plus presenting analysis updates to colleagues regularly. There are also some opportunities to contribute to larger collaborative and creative research projects. For specific details, please see below.
Qualifications:
MS or PhD in bioinformatics, molecular biology, neuroscience or similar field
Experience with live and fixed cell confocal microscopy image analysis (video and still) preferably on irregularly shaped cells (e.g., neurons, microglia, etc)
Experience with multiple image analysis software (possibilities include but are not limited to Fiji, Nikon, Napari, CellProfiler) and writing/designing custom analyses for complex data
Knowledge/experience with the analysis software from the systems in CARD: NIS-Elements, Zen Blue/Black, and Harmony
Comfortable working with large datasets (thousands to millions of images)
Familiarity with statistical conventions and data visualization of such datasets
Biology background and interest in or willingness to learn about neurodegenerative disease cell biology
Python and/or R proficiency
Familiarity with distributed, parallel HPC and/or cloud computing (NIH Biowulf and google cloud ideal)
Knowledge of sequencing technologies
Able to troubleshoot
Able to work independently or with minimum supervision
Ability to work as part of a diverse team of scientists
Scope of work:
Develop and deploy data processing and QC pipelines at scale
Train models and raters for automated cell imaging and analysis
Management and sharing of public datasets
Knowledge transfer
Preferences:
Local or willing to immediately relocate to the Washington DC Metro area
Experience with the National Institutes of Health or similar federal research structure
Ability to be on the NIH campus Tuesday to Thursday
?
Additional notes:
This position will include opportunities to grow your bioinformatics and data science skills as well as publish high impact research in collaboration with NIH initiatives we support. As this is an NIH contract opportunity, a US work permit, citizenship or green card are required. Hybrid work scenarios with part time on the NIH campus is required (Washington DC metro area), with 3 days needed on NIH campus per week. This position is for long term support of ongoing and growing research portfolios, empowering candidates to grow with the team. Compensation is commensurate with experience, ranging generally from $80k-160k per year.
Interested candidates should submit their application, including CV, cover letter, code example (github) and emails of potential references (if available) to info@datatecnica.com. All compensation and benefits are negotiable and in line with current glassdoor estimates, commensurate with experience. Review of applications will begin immediately.