Tuyển dụng Senior Computational Biologist tại Hà Nội

– RNA-seq Data Analysis: Perform end-to-end RNA-seq analysis, including quality control, quantification, normalization, differential expression, and pathway/gene set enrichment analysis.
– Multi-omics Integration: Analyze proteomic data and integrate it with transcriptomic findings to build a comprehensive view of compound mechanisms of action and identify clinical biomarkers.
– Statistical Modeling: Design and apply appropriate statistical methods for various studies, handling experimental design, power analysis, batch effect correction, and modeling complex experimental designs.
– Pipeline Development: Develop, validate, and maintain reproducible, production-grade analysis pipelines in collaboration with Data Engineering teams.
– Cross-functional Collaboration: Partner with drug discovery scientists to translate biological questions into actionable analysis plans, and work with ML/Imaging scientists to link image-derived features to molecular profiles.
– Data Visualization & Reporting: Create clear, publication-quality visualizations and interactive dashboards to communicate complex results to both scientific and non-technical stakeholders.
– Innovation via AI: Leverage AI agents and LLM-based tools to accelerate routine analyses, establishing best practices for their responsible use across the team.

Yêu cầu ứng viên

Must have

1. Education & Domain Experience
- A PhD in Computational Biology, Bioinformatics, Biostatistics, Genomics, or related quantitative field, or an MSc with equivalent experience.
- 1-3 years of industry experience, OR 3+ years of in-depth academic/research experience in genomic or other omics data analysis
- Experience working with genomic/omics data in biotech, biopharma, or a technically advanced academic/research environment.
- Strong biological background.
2. Core Computational Biology Skills
- Hands-on experience with Bulk RNA-seq analysis, including QC, normalization, differential expression and pathway/gene set enrichment.
- Strong experience with standard RNA-seq tools such as DESeq2 and/or edgeR.
- Hands-on experience with proteomic data analysis, including normalization, missing value handling and differential abundance analysis.
- Experience integrating transcriptomic and proteomic data.
3. Statistics & Machine Learning
- Strong foundation in statistical methods, including experimental design, hypothesis testing, multiple testing correction, batch effects and confounders.
- Working knowledge of basic machine learning methods, including Elastic Net, Random Forest and XGBoost.
4. Programming & Pipeline Development
- Basic to strong proficiency in R or Python programming.
- Experience with Docker.
- Experience developing or working with automated analysis pipelines using Nextflow or Snakemake.
- Familiarity with version control such as Git.
5. Communication
- Ability to translate biological questions into analytical approaches and communicate findings to scientific and cross-functional teams.

Nice to have
- Experience analyzing biological imaging data, particularly immunofluorescence or microscopy data.
- Experience applying machine learning to multi-omics or imaging data beyond the core methods above.
- Experience with cloud computing or HPC environments.
- Experience with public biological data resources such as GEO, TCGA, Gene Ontology, KEGG, Reactome.
- Publications in peer-reviewed journals or presentations at scientific conferences.
- Experience using AI-assisted tools/LLMs to support data analysis or code development.

Quyền lợi được hưởng

Why this role
– Solve real-world biology problems: Analyze complex biological datasets, including transcriptomics, proteomics, cellular imaging, and compound data, to generate insights that support scientific research.
– Collaborate with scientific stakeholders: Work closely with domain experts and AI specialists to interpret analytical findings, communicate scientific insights, and support informed research decisions.

What Sun Asterisk offers
1. Technology Leadership & AI-Driven Development
– Hands-on AI-Driven Development: Work directly in an AI-Driven Development environment, applying AI throughout the software development lifecycle (from Requirements Analysis and Coding to Testing and Operations) with standardized solutions and processes developed by Sun Asterisk.
– Access to Advanced AI Tools: Gain access to premium AI tools such as GitHub Copilot, Gemini, Claude, etc., depending on project requirements, to automate tasks and maximize productivity.
– AI-Empowered Professional Development: Join in-depth AI-DD training courses and hands-on workshops designed to help employees strengthen their core expertise while mastering next-generation AI tools.

2. Empowerment Culture & Clear Career Growth
– Open & Creative Environment: A culture that values individuality, embraces experimentation and risk-taking, and encourages collaboration with like-minded colleagues who aspire to create positive social impact.
– Structured Career Path: Personalized career development toward either a Technical Expert or Management career track.
– Goal Setting & Empowerment: Support in defining individual and team goals through regular Goal Define Support sessions every 3 – 6 months, while empowering employees to take ownership of their work.
– Diverse Learning Ecosystem: Free access to learning platforms such as Udemy and LinkedIn Learning, Tech Expert seminars, and knowledge-sharing & cultural clubs.

3. Competitive Benefits & Comprehensive Well-being
– Salary & Allowances: Competitive salary, negotiable based on experience, plus various allowances and benefits, including lunch, living expenses, women’s allowance, Japanese language, IT certifications, etc.
– Bonuses & Performance Review: Performance bonuses, annual bonuses, and salary reviews twice a year.
– Flexible Working: Hybrid working with flexible check-in hours from 7:45 – 8:45 AM.
– Healthcare & Seniority Benefits: Comprehensive health insurance with Sun Asterisk Care and seniority benefits.
– Women’s Benefits: 2.5 hours of menstrual leave per month and 1 hour of childcare leave per day for employees with children under 1 year old.
– Team Activities & Engagement: Annual company trips and quarterly team-building activities.