Senior Bioinformatics Engineer

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software.

Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures.

Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools.

Validate that modernized applications preserve scientific correctness and produce reproducible results.

Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization.

Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets.

Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization.

Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks.

Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications.

Review engineering designs to ensure biological accuracy and scientific integrity.

Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness.

Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

BS or MS in Bioinformatics, Computational Biology, Genetics, Computer Science, or related discipline. PhD is desirable.

Strong understanding of genomics, molecular biology, and modern bioinformatics algorithms.

Experience using widely adopted bioinformatics tools such as PLINK, Regenie, BWA, SAMtools, GATK, BCFtools, Nextflow, or similar.

Experience designing or evaluating bioinformatics workflows for large-scale genomic or multi-omics datasets.

Strong understanding of biological data formats including FASTQ, BAM/CRAM, VCF, GTF/GFF, AnnData, or equivalent.

Experience validating scientific software and ensuring reproducibility.

Programming proficiency in Python and/or R.

Ability to communicate complex biological concepts to software engineers who may not have domain expertise.

Excellent written and verbal English communication skills.

Experience with distributed computing frameworks such as Apache Spark.

Experience deploying bioinformatics software to cloud platforms.

Familiarity with scalable workflow execution systems.

Experience with multi-omics analysis.

Experience contributing to open-source bioinformatics software.

Experience working alongside software engineering teams building production systems.

Experience with AI-assisted software development.

Knowledge of variant calling and how RNAseq proteomics are processed.

Help optimize built-in functions, e.g. RNAseq normalization in order to perform a differential gene expression analysis

Act as the authoritative scientific reviewer for architecture and implementation decisions affecting bioinformatics workflows.

Establish standards for biological data quality, metadata consistency, and reproducibility.

Develop validation strategies to ensure transformed software maintains functional equivalence with the original applications.

Partner with product managers and software architects to prioritize scientific capabilities and roadmap decisions.

Inquisitive Mindset: Demonstrates a deep-rooted curiosity, constantly seeking to understand project details and underlying principles, indicative of a continuous learning approach.

Clarity and Insight: Actively seeks clarity and understanding of project requirements to ensure accurate and effective implementation.

Depth of Perception: Has talent for looking beyond initial requests, intuitively grasping and addressing the core needs and objectives underlying a project.

Implementation Insight: Skilled in outlining and describing the phases of project implementation, breaking down complex tasks into manageable steps.

Articulate Communication: Exhibits strong verbal and written communication skills, adept at tailoring messages effectively for different a

Competitive compensation.

Flexible time off, including floating holidays.

Private health insurance & full social, health, and unemployment insurance.

Professional development support.

Company-provided lunches along with a selection of coffee, tea, and snacks.

Other employee benefits as stipulated in Vietnamese labor law, reinforcing our commitment to your growth and well-being.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666