Machine Learning Scientist

Computing Biotechnology Cloud Machine Learning

Icon salary Salary
Negotiable
Icon Location Location
Remote, Hanoi

Benefits

13th month salary 13th month salary
Full social insurance Full social insurance
Other benefits Other benefits
Yearly salary review Yearly salary review
Travel/company trips Travel/company trips
Laptop/desktop for works Laptop/desktop for works
Performance bonus Performance bonus
Extra health insurance Extra health insurance

Job Overview And Responsibility

- 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.

Required Skills and Experience

- 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.

Why Candidate should apply this position

- 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.

Preferred skills and experiences

- 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).

Report to

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

Interview process

3 round: Initial Round, Technical Round, Final Round 

Leena Vu

Headhunter | Recruiter
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employee 874 candidates
cup 232 interviews
health 38 offers

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Leena Vu

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Icon employee 874 candidates
Icon cup 232 interviews
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