<![CDATA[Bioinformatics Data Scientist - Pharmaceutical and Healthcare]]>Requirement
● Hands-on experiences with omics data analyses including microarray, RNA-Seq (bulk and single-cell), WES, and WGS. Experience with proteomics data analysis and multi-omics integration is a plus.
● Familiarity with databases and platforms such as GEO, Array Express, Open Targets, CCLE, TCGA, LINCS, GWAS catalog, and ChEMBL.
● Strong programming ability in R and shell scripting; the candidate with Python skills is also preferred.
● Familiarity with the following technologies and environments: Linux, Git, Docker, AWS (EC2, S3), Nextflow, or Airflow.
● An excellent communicator with a passion for data visualization (ggplot or seaborn) and reproducible documenting (e.g., RMarkdown).
● Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
● Familiarity with the drug discovery process and an essential understanding of machine learning.
● Experience in biomarker discovery is a plus.

Educational Requirements
A PhD in bioinformatics, computational biology, related field of research, or MSc with 2+ years experience (preferably industry).

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