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Roche

(Sr) Principal Applied Scientist

Roche is hiring a (Sr) Principal Applied Scientist in Shanghai, China. Level rates it ; you can apply on Roche.

Level's read on this job

  • Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Hugging Face, PyTorch and NLP.
  • Level classifies it as a lead role.
  • Level lists 1,200+ other open roles at Roche.
  • The role was posted in the last few days.

AI in this role

Hugging FacePyTorch
nlp

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Job Summary:

As an Applied Scientist with at least 5 years of experience, you will join a dynamic, multi-disciplinary agile team, using your skills to transform healthcare by delving deep into a variety of data sources. Your role will involve identifying needs, designing analytical solutions, offering consulting support to key stakeholders, and demonstrating impact through proof-of-value initiatives.


The Opportunity:

  • Developing and implementing Data Science products, focusing on Natural Language Processing using LLMs and Generative AI tools.
  • Collaborating with stakeholders to proactively identify relevant LLM/NLP use cases.
  • Applying your NLP/LLM expertise to create and refine models that meet Roche's business requirements.
  • Work closely with clients to understand their business needs, gather requirements, and provide consultative insights to inform strategic decisions.
  • Supporting prioritisation efforts, understanding feasibility and business impact, and making informed decisions in a rapidly changing environment.
  • Strong consulting and project management skills, with the ability to lead projects and work with clients across various industries.
  • Working within global agile teams to develop products that deliver value to Roche Pharma and Diagnostics business stakeholders.
  • Providing guidance and hands-on support for analytical LLM/NLP use cases, evaluating different NLP approaches and Generative AI platforms.
  • Communicating findings and promoting the value of use cases to key stakeholders.
  • Contributing to the positioning of data science as a key competency within the company.

Who you are:

  • M.Sc. or PhD in a related field and experience with machine learning/data mining/artificial intelligence.
  • Experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy).
  • Familiarity with key frameworks (e.g. PyTorch, GenAI/Agentic AI, Vector DBs) and infrastructure components (Docker, GPU) for NLP tasks.
  • Experience using open source (e.g. HuggingFace) and commercial LLM models with different deep learning architectures.
  • Knowledge of training and optimising language models for seamless integration.
  • Familiarity with code generation best practices, code documentation, data security, and compliance in cloud-based data science workflows.
  • Experience providing advanced analytical solutions.
  • Ability to communicate data and results to a non-technical audience through data storytelling and visualisation tools.
  • International, goal-oriented mindset with a positive attitude.
  • Experience in the pharmaceutical/biotech industry preferred.
  • Fluency in English and Chinese.
  • A minimum of 5 years' hands-on experience in AI, data science and machine learning.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we rate this

(Sr) Principal Applied Scientist at Roche rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPHugging FacePyTorch

Also common in applied scientist jobs at this level

Pay

Typical applied scientist job
$172k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Walk me through how you've used Hugging Face in your day-to-day work.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: NLP, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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