Senior Data Scientist

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our platform is a cloud-based AI-driven workspace that automates statistical analysis validation and generation for clinical research. It serves large pharmaceutical and biotech clients by extracting, validating, and producing complex tabular outputs and regulatory deliverables. 

The system handles high volumes of hierarchical tables, figures and listings, applying both classical and generative NLP to accelerate review cycles, reduce manual double-programming and maintain a full audit trail. 

About the Role:

We are looking for a Strong Data Scientist with a focus on NLP and Generative AI to drive the development of intelligent systems that automate complex analytical workflows.

This is a research-driven role, where you will take ownership of problems end-to-end - from understanding the data, to experimenting with approaches and delivering solutions that can be integrated into production.

Key Responsibilities:

• Define and drive the AI research roadmap, mentoring peers on practical implementation.
• Design, develop and evaluate NLP and tabular-data algorithms using GenAI, retrieval-augmented generation (RAG), deep learning, classical ML, NER and rule-based methods.
• Explore large clinical datasets, perform data cleaning and feature engineering for downstream model training.
• Build and maintain data pipelines for extraction, transformation and preprocessing of structured and semi-structured inputs.
• Stay current on state-of-the-art techniques in NLP, generative AI and tabular-data analysis, and integrate best practices.
• Collaborate with cross-functional teams, including software developers, DevOps engineers to integrate the research solutions into production. 

Required Competence and Skills:

• 3–5 years of industry experience with NLP as a core focus
• Experience working with structured or tabular data combined with NLP
• 2+ years of hands-on experience with deep learning methods and frameworks (e.g. PyTorch, TensorFlow).
• Strong hands-on experience with Generative AI / LLM-based systems (e.g. RAG, structured output generation, text-to-SQL)
• Solid understanding of classical NLP techniques (NER, parsing, rule-based methods)
• Proven ability to build and experiment with different approaches, not just implement predefined solutions
• Experience delivering AI solutions in real-world / production environments
• Strong Python skills for data analysis, experimentation, and prototyping
• M.S. or Ph.D. in Computer Science, Machine Learning or a related quantitative field.
• Excellent collaboration, interpersonal skills and ability to work independently with minimal oversight.
• Strong written and verbal communication in English.

Nice to Have:

• Familiarity with cloud-based NLP platforms and MLOps tooling.
• Experience with large-scale table analytics or regulatory statistical outputs.