Bioinformatician II

Position Summary

We are seeking a motivated and detail-oriented Bioinformatician with 1.5–2.5 years of experience to support clinical NGS data analysis in a high-throughput environment. This role focuses on executing and optimizing analysis pipelines, curating clinical data, and collaborating closely with the reporting and genomics teams. The ideal candidate will be responsible for hands-on data processing and will contribute to the implementation of best practices in genomic analysis and data management.

Key Responsibilities

• Curate and organize genomic and clinical data from multiple sources to support DNA-seq and RNA-seq interpretation.
• Execute and troubleshoot analysis of clinical samples using validated pipelines for Whole Exome Sequencing (WES), targeted gene panels, and transcriptome (RNA-Seq) data.
• Assist in developing and optimizing bioinformatics pipelines using tools such as DRAGEN, Nextflow, and Docker, with guidance from senior team members.
• Support the reporting team with genomic data interpretation by preparing visualizations (e.g., CNA graphs, allelic burden plots, fusion summaries).
• Stay updated on emerging tools and databases relevant to clinical NGS workflows and participate in knowledge sharing within the team.

RequirementsTechnical Skills

• Programming/Scripting: Proficiency in Python and/or R*, with working knowledge of Shell scripting* and Git.
• Data Analysis & Statistics: Familiarity with libraries such as pandas, scikit-learn, and tidyverse for basic statistical analysis.
• NGS Tools: Experience with tools like GATK, BWA, STAR, Salmon, SAMtools, etc.
• Workflow Management: Exposure to workflow tools such as Nextflow, Snakemake, or basic Docker and Linux operations.

Experience & Education

• Master’s degree (or equivalent) in Bioinformatics, Genomics, Computational Biology, or related field.
• 1.5 to 2.5 years of practical experience in clinical or applied NGS data analysis.
• Working knowledge of variant calling, CNV detection, and fusion analysis workflows.

Soft Skills

• Strong attention to detail in data processing and documentation.
• Willingness to learn and contribute in a collaborative, cross-functional environment.
• Good communication skills and ability to coordinate with technical and clinical teams.
• Problem-solving mindset with curiosity to explore and improve workflows.

Job Type: Full-time

Benefits:

• Health insurance

Work Location: In person