Bioinformatics Scientist (Principal Computational Biologist (AI/ML)
About This Job
Trách nhiệm chính
- Act as the biology bridge across concurrent ODC projects in computer vision, chemistry, agentic systems and data engineering.
- Translate scientific objectives (e.g. predicting the effects of gene and protein regulation from cellular imaging, literature‑grounded scientific QA) into problem framing, labels, evaluation metrics and success criteria.
- Review experiment design, data splits, thresholds and results for biological validity; identify data leakage, confounders and batch effects before sharing with the client.
- Assess imaging data quality (artifacts, focus, staining, plate effects) and define quality‑control (QC) rules with data and ML engineers.
- Help design data schemas, ontologies and metadata for phenotypic and multi‑omics data with the Senior Data Engineer.
- Own biology‑focused onboarding for every new ODC member and maintain the team’s domain knowledge base.
- Make independent scientific judgments during Vietnam working hours; only elevate decisions that change scope or direction.
- Participate in the client’s scientific syncs and present findings and recommendations to AI Science leadership team.
Yêu cầu
- MSc or PhD in Computational Biology, Bioinformatics, Systems Biology, Genomics or a closely related field.
- 5+ years of experience working with real‑world biological data (transcriptomics, proteomics, genomics or high‑content imaging) in industry or a research‑intensive academic setting.
- Hands‑on experience with Python (pandas, NumPy, scikit‑learn, PyTorch or similar) and a solid grasp of ML evaluation (classification metrics, imbalanced data, generalization to unseen compounds or samples).
- Ability to read, critique and extract evidence from biomedical papers.
- Proven track record of making sound technical and scientific decisions without close supervision.
- Fluent English; able to explain biology to engineers and engineering trade‑offs to scientists.
Yêu cầu ưu tiên
- Cell‑based imaging or phenotypic screening data and its typical quality issues.
- Experience designing ontologies / metadata for multi‑omics data.
- Industry experience in biotechnology, pharmaceutical or AI‑driven drug discovery.
Mức lương
- Thỏa thuận
Phúc lợi
- Real ML‑for‑biology problems: Work on high‑content cellular imaging, transcriptomics, proteomics and compound data from a US AI‑driven biotech company that directly supports the client’s scientific work.
- Peer‑level partnership with client science leadership: Work day to day with the client’s Head of AI Science, join their scientific syncs and present findings and recommendations directly to AI Science leadership.
- Breadth across concurrent projects: Computer vision, chemistry, agentic systems, literature‑grounded scientific QA and data engineering all in one role.
- Technology Leadership & AI‑Driven Development: Hands‑on AI‑Driven Development, access to advanced AI tools, AI‑empowered professional development.
- Empowerment Culture & Clear Career Growth: Open & creative environment, structured career path, goal setting, diverse learning ecosystem.
- Competitive Benefits & Comprehensive Well‑being: Salary & allowances, bonuses, flexible working, healthcare, women’s benefits, team activities.
Hình thức làm việc
- Hybrid working with flexible check‑in hours from 7:45 – 8:45 AM.
Thông tin khác
- Working time: Mon‑Fri (Hybrid)
- Working location: Keangnam Tower, Cau Giay, Hanoi
- Địa điểm việc làm: Làm việc từ xa kết hợp ở Hà Nội