Machine Learning Cloud Biotechnology Computing
- Design and maintain end‑to‑end data pipelines to ingest, clean, augment, and version large‑scale molecular and phenotypic datasets. - Automate high‑throughput docking simulations; extract, featurize, and curate docking poses and affinity scores for downstream modeling. - Research, prototype, and productionize graph neural network and transformer‑based models for molecular property prediction, lead optimization, and virtual screening. - Develop and integrate semi‑supervised learning and active‑learning workflows to maximize insight from limited experimental labels. - Establish evaluation frameworks and benchmarks; analyze performance metrics (e.g., ROC‑AUC, enrichment factors) and iterate on model architectures to improve accuracy and robustness. - Collaborate closely with chemists, biologists, and software engineers to integrate ML solutions into NYB’s discovery platform, ensuring reproducibility, scalability (distributed/GPU training), and maintainable codebases. - Communicate results and methodologies in team meetings, internal reports, and through external publications or conference presentations.
- Education & Research: • PhD or equivalent postdoctoral experience in Computer Science, Computational Biology, Bioinformatics, or a related discipline, with a strong publication record. - Technical Expertise: • At least 5+ Years of Experience in AI/ML • Proficient in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with graph libraries (DGL or PyG) and transformer toolkits (Hugging Face). • Hands‑on with RDKit (cheminformatics) and molecular docking software (e.g., AutoDock Vina, Glide). • Familiarity with semi‑supervised techniques (consistency regularization, pseudo‑labeling) and self‑attention architectures. - Infrastructure & Scale: Experience with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), and distributed training across multi‑GPU clusters. - Analytical Foundations: Strong background in statistics, optimization, and experimental design; ability to translate biological questions into ML problems. - Collaboration & Communication: Excellent written and verbal skills; proven ability to work cross‑functionally in fast‑paced environments.
- Competitive salary - Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter. - Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts. - Work on impactful projects that address critical challenges in drug discovery and healthcare. - We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
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Can open for expat?
We only focus on Vietnamese candidates for now
Cho mình hỏi 60-70tr là mức net hay gross ạ?
Hi VA, mức này là mức gross nè
Ho cho mình hòi job làm ở Thợ Nhuộm hay bên Long Biên ah?
Hi VA, job làm việc ở Thợ Nhuộm nhé
Range lương bên mình 60tr-70tr có thể nego lên nhé
Cho mình xin range lương nhé
Ứng viện hiện tại đang ở Hàn Quốc, có thể phỏng vấn online không
Ứng viên có willing về vnam làm việc không bạn, trình độ tiếng Anh như thế nào nhỉ
mình xin range lương vs ạ
Hi VA, the team has consult the range for you through chat support
có giới hạn độ tuổi k ạ
This job does not have an age limit