Senior Scientist in AI & Big Data Center
External
Genscript · MalaysiaPrepare for this interview
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Requirements
- PhD Degree in bioinformatics or deep learning, with at least three years of experience in algorithm/model development;
- Knowledgeable in the field of molecularbiology or protein;
- Proficiency in Python/Java/C++.
- Proficiency in Pytorch/Tensorflow.
- Preferable if the candidate has experience in natural language processing and large language model.
- Preferable if the candidate has experience in pre-trained language models and generative AI;
- Preferable if the candidate has experience in algorithm, software and pipeline development;
- Proactively participating in collaborative and innovative projects;
- Having a keen sense of responsibility, self-motivation, and good communication and teamwork skills.
- #GS
- #LI-CT1
- #LI-Onsite
- GenScript USA Inc./ProBio Inc. maintains a drug-free workplace.
- Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.
Benefits
Additional Information
About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. Position: Senior Scientist in AI & Big Data Center Location: Malaysia(Remote)/ Nanjing, China(Onsite) Role & Responsibilities Be responsible for bioinformatics projects; Develop the web-based tools or standalone tools for synthetic biology, protein engineering and antibody engineering; Develop algorithms to assist customers in solving technical barriers; Data mining (including deep learning) and analysis on synthesis related data;
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