Senior Data Scientist, Generative AI

Mississauga - Canada

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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

A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Roche

We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI to join our team. The successful candidate will lead efforts to design build and deploy generative models across diverse domains driving innovation in how we understand and synthesize complex data. While the primary focus of this role is on advancing generative modeling and large-scale AI systems prior experience working with DNA protein or other biological datasets will be considered a strong advantage.

This position requires a strong foundation in machine learning natural language processing or multimodal AI coupled with proven proficiency in Python and modern deep learning frameworks.

The opportunity:

Develop fine-tune and optimize generative AI models (e.g. LLMs diffusion models VAEs transformers) for text multimodal and structured data generation.
Architect scalable pipelines for data preprocessing model training and evaluation across large and complex datasets.
Apply state-of-the-art research in generative modeling to real-world problems and drive novel applications across multiple domains.
Collaborate cross-functionally with engineers scientists and product teams to translate generative AI capabilities into impactful solutions.
Design experiments to evaluate generative models for quality robustness and interpretability.
Communicate technical findings clearly to both technical and non-technical stakeholders.
Stay up to date with the latest advancements in generative AI foundation models and multimodal learning and identify opportunities for adoption.

Who you are:

Master degree with 5 years of experience in Computer Science Machine Learning Electrical Engineering Applied Mathematics or a closely related field.
Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Strong knowledge of generative modeling techniques (e.g. transformers diffusion GANs VAEs).
Proven ability to solve complex modeling challenges and innovate beyond standard approaches.
Experience working with large-scale datasets including text multimodal or scientific data.
Experience with efficient training techniques such as LoRA quantization distillation and model pruning.
Background or hands-on experience with DNA protein or other biological data.
Familiarity with scalable computing environments (cloud platforms GPU/TPU acceleration distributed training).
Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team.

Preferred:

Experience with evaluation frameworks for generative AI including human-in-the-loop assessment.
Hands-on experience with Retrieval-Augmented Generation (RAG) systems including vector databases (FAISS Milvus Pinecone Weaviate) indexing strategies and hybrid retrieval pipelines.
Experience with databases and querying (SQL/NoSQL) including data modeling optimization and efficient retrieval for large-scale AI workflows.
Experience with Protein/DNA language models (e.g. DNABert Evo ProtBERT ESM AlphaFold-like approaches).

Relocation benefits are not available for this posting.

Who we are

A healthier future drives us to innovate. Together more than 100000 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.

Lets build a healthier future together.

Roche is an Equal Opportunity Employer.

Required Experience:

Senior IC

The Position

This position requires a strong foundation in machine learning natural language processing or multimodal AI coupled with proven proficiency in Python and modern deep learning frameworks.

The opportunity:

Develop fine-tune and optimize generative AI models (e.g. LLMs diffusion models VAEs transformers) for text multimodal and structured data generation.
Architect scalable pipelines for data preprocessing model training and evaluation across large and complex datasets.
Apply state-of-the-art research in generative modeling to real-world problems and drive novel applications across multiple domains.
Collaborate cross-functionally with engineers scientists and product teams to translate generative AI capabilities into impactful solutions.
Design experiments to evaluate generative models for quality robustness and interpretability.
Communicate technical findings clearly to both technical and non-technical stakeholders.
Stay up to date with the latest advancements in generative AI foundation models and multimodal learning and identify opportunities for adoption.

Who you are:

Master degree with 5 years of experience in Computer Science Machine Learning Electrical Engineering Applied Mathematics or a closely related field.
Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Strong knowledge of generative modeling techniques (e.g. transformers diffusion GANs VAEs).
Proven ability to solve complex modeling challenges and innovate beyond standard approaches.
Experience working with large-scale datasets including text multimodal or scientific data.
Experience with efficient training techniques such as LoRA quantization distillation and model pruning.
Background or hands-on experience with DNA protein or other biological data.
Familiarity with scalable computing environments (cloud platforms GPU/TPU acceleration distributed training).
Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team.

Preferred:

Experience with evaluation frameworks for generative AI including human-in-the-loop assessment.
Hands-on experience with Retrieval-Augmented Generation (RAG) systems including vector databases (FAISS Milvus Pinecone Weaviate) indexing strategies and hybrid retrieval pipelines.
Experience with databases and querying (SQL/NoSQL) including data modeling optimization and efficient retrieval for large-scale AI workflows.
Experience with Protein/DNA language models (e.g. DNABert Evo ProtBERT ESM AlphaFold-like approaches).

Relocation benefits are not available for this posting.

Who we are

Lets build a healthier future together.

Roche is an Equal Opportunity Employer.

Required Experience:

Senior IC

Key Skills

Laboratory Experience
Mammalian Cell Culture
Biochemistry
Assays
Protein Purification
Research Experience
Next Generation Sequencing
Research & Development
cGMP
Cell Culture
Molecular Biology
Flow Cytometry

Apply Now

About Company

Roche

F. Hoffmann-La Roche AG is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel.

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click