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Data Scientist Genomic Medicine
EDUCATION:
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Preferred: Master's or Ph.D. degree in computer science, quantitative science, bioinformatics, biostatistics, or a related field.
EXPERIENCE:
Required: Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required.
Preferred:
* Experience with best practices in single-cell analysis, including multimodal data integration (scTCR/BCR sequencing, and spatial transcriptomics).
* Demonstrated ability to develop, optimize, and maintain bioinformatics pipelines.
* Proficiency in at least one programming language such as R or Python (experience with Perl and/or C/C++ is a plus).
* Expertise with modern workflow languages, such as Nextflow, WDL, and CWL.
* Experience with containerization technologies, including Docker, Docker Swarm, and Kubernetes.
* Experience with version control systems (Git, and GitHub) and Linux administration.
* Familiarity with FAIR (Findable, Accessible, Interoperable, and Reusable) principles for data and tool development.
* Knowledge of high-performance computing environments are a plus.