Machine Learning Scientist

Computing Biotechnology Cloud Machine Learning

Icon salary Mức lương
Thương lượng
Icon Location Khu vực
Remote, Hanoi

Phúc lợi

Lương tháng 13 Lương tháng 13
Bảo hiểm full lương Bảo hiểm full lương
Phúc lợi khác Phúc lợi khác
Đánh giá lương hàng năm Đánh giá lương hàng năm
Du lịch/Công tác Du lịch/Công tác
Cấp laptop Cấp laptop
Thưởng chỉ tiêu Thưởng chỉ tiêu
Bảo hiểm nâng cao Bảo hiểm nâng cao

Tổng quan về công việc và trách nhiệm

- 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.

Kỹ năng và kinh nghiệm tối thiểu

- 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.

Tại sao ứng viên nên làm ở đây

- 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.

Ưu tiên có kỹ năng và kinh nghiệm

- Contributions to open source ML tools; experience in generative molecular modeling; leadership or mentoring of junior researchers. - Experience working with genomics or omics projects/data (e.g., RNA-seq, WGS, single-cell), including familiarity with common genomics tools and libraries (Bioconductor, scikit-allel, or similar).

Báo cáo cho

CTO (in VietNam) and Professors, Experts (in Singapore)

Quá trình phỏng vấn

3 round: Initial Round, Technical Round, Final Round 

Harrison Yeong

Headhunter | Recruiter
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