Senior Researcher

We are seeking a candidate with experience as Bioinformatics Analyst, Bioinformatics scientist, Computational Biologist, Genomics Data Analyst, NSG data analyst, Biomedical Data Scientist, Clinical Bioinformatician, Bioinformatics Software Engineer, Genomic, Research Associate (Bioinformatics), Health Informatics Data Scientist.

Key Experiences:

1. Proficiency in Python and R for statistical analysis, scripting, and data wrangling.
2. Bash/shell scripting for pipeline automation.
3. Hands-on with workflow tools: Nextflow, Snakemake, or Galaxy for scalable analyses.
4. Experience with workflow management tools like Nextflow, Snakemake, or Cromwell.
5. Use of platforms like Galaxy, Bioconductor, or GenePattern.
6. Familiarity with cloud computing (AWS, GCP) and HPC clusters.
7. Knowledge of databases: Ensembl, UCSC Genome Browser, dbSNP, TCGA, GEO.
8. Understanding of Good Clinical Practice (GCP) if handling clinical trial data.
9. Proficiency with data visualization tools: ggplot2, Seaborn, Shiny, Plotly.
10. Knowledge of machine learning or statistical modeling is a strong asset.

Qualifications:

1. PhD or MSc in Bioinformatics, Computational Biology, Genomics, Health Informatics, or related field.

For MSc holders:

1. Co-authorship (especially first-authorship) on peer-reviewed publications using large-scale genomics/bioinformatics analyses
2. Development or major contributions to open-source bioinformatics tools or data pipelines.
3. Experience applying bioinformatics in a clinical context (clinical genomics, molecular diagnostics, public health projects).
4. Leading or coordinating multi-disciplinary or multi-institutional digital health studies.
5. Integration and analysis of multi-omics and clinical/phenotype datasets.

For PhD holders:

1. First-author or co-author on peer-reviewed publications involving large-scale bioinformatics analyses.
2. Developed or contributed to a publicly available bioinformatics pipeline or software tool.
3. Led or played a pivotal role in biomarker discovery, disease subtyping, or target identification.
4. Participated in multi-institutional or consortium-based research (e.g., TCGA, GTEx, ENCODE).
5. Experience working in a clinical bioinformatics setting or supporting regulatory submissions.