Nanyang Biologics
Machine Learning Scientist
医疗医药
高科技/人工智能
上海, 北京, 深圳
经验不限
博士
¥40 - 150K13薪
公司介绍
About Us
Nanyang Biologics (NYB) is a biotechnology company leveraging AI to revolutionize drug discovery and develop innovative therapeutics inspired by nature. Through advancing AI-driven solutions in the pharmaceutical industry, we address the complex
职位描述
Who We Are Looking For
NYB is seeking a talented Machine Learning Scientist with a PhD or postdoctoral experience—ideally in
computational biology, bioinformatics, or a related field. You’re a proactive, research‑oriented scientist
passionate about applying deep learning and advanced modeling techniques to solve complex biological
challenges and drive drug discovery innovation.
Roles and Responsibilities
As a Machine Learning Scientist, your primary responsibilities will include:
● 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.
职位要求
Qualifications
Education & Research:
● PhD or equivalent postdoctoral experience in Computer Science, Computational Biology,
Bioinformatics, or a related discipline, with a strong publication record.
Technical Expertise:
● Proficient in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with graph
libraries (DGL or PyG) and transformer toolkits (Hugging Face).
NANYANG BIOLOGICS PTE. LTD.
300 Beach Road, #31-03, The Concourse, Singapore
● 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.
Bonus points:
● 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).
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