We are looking for a Data Scientist (Life Science database focus) to join our R&D China Product Team in Shanghai/Beijing. This is an amazing opportunity to work on creating industrial leading data solutions and integrating China Pharma intelligence into global Cortellis database. Reporting to the APAC lead Product Manager, you’ll collaborate with a global team of data engineers and domain experts. By working with us, you'll have the opportunity to develop cutting-edge machine learning and AI models, including Generative AI, to support delivering the LS&H goal of empowering our customers to create a healthier tomorrow.

About You – experience, education, skills, and accomplishments

• Bachelor’s degree in Computer Science, Bioinformatics, Statistics Data Science, or related fields.
• 3+ year of experience in data science roles with proven success in NLP projects
• Proficient in Python, SQL, and web scraping. 
• Hands-on experience with NLP frameworks for Chinese text processing. 
• Familiarity with cloud platforms (AWS/Azure) and data visualization.
• Native/Fluent Chinese (Mandarin) + Professional English (written/spoken). 
• Good communication & presentation skills: you feel comfortable connecting with people, gathering data & information across business unit boundaries and telling & selling the story
• Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation

It would be great if you also have . . .  

• Master’s/PhD in relevant fields. 
• Experience with Life Science data (clinical trials, drug pipelines) or regulatory data (CDE/NMPA). 
• Knowledge of knowledge graph and multi-source data fusion. 
• Exposure to Clarivate/Cortellis databases or similar industry tools. 

What will you be doing in this role?

• Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on Life Sciences and Healthcare and products
• Implements these methods and devises appropriate test plans to validate and compare the different approaches
• Identifies new applications of ML and NLP in the context of Clarivate’s extensive sets of content and data
• Explores existing data for insights and recommends additional sources of data for improvements

Products you will be developing

We are mainly using Python for model and code development, you can use whatever IDE & tools you like best (we have people using PyCharm, Databricks, Jupyter Notebook, …), model deployment is on either AWS or Google Cloud depending on the internal customer’s preference, projects are assigned on a quarterly basis but most span multiple quarters up to a year and a half. Over the past 2 decades, we’ve covered everything from UX experiments, decision support systems, search engines, information extraction, machine learning, generative AI – you name it. So the work you’ll be doing will be quite varied and allow you to expand and apply your knowledge on all the latest developments in the AI/ML/NLP domains.

About the Team

The Life Sciences and Healthcare Technology team supports The Clarivate Life Science and Healthcare business unit deliver outcomes to positively impact patient lives globally. We create data solutions and products that span the entire drug lifecycle through Strategy, R&D, Regulatory and Commercialization. The Data Science team provides solutions across our content acquisition, content delivery and product solutions and works to support all technology teams and our business to deliver compelling AI solutions to enhance our workflow and products.

Hours of Work

This is a permanent full-time position at 40 hours per week. The working schedule is flexible, primarily centered on Beijing time zone with occasional need to accommodate meetings with US or EU time zones. The position is hybrid with office visits required 2-3 times per week.

At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.