Middle Data Scientist (NLP / Tabular Data) to $6800

About the company

Adaptiq is an international tech company headquartered in Israel, with distributed engineering teams across Europe.

We build and scale R&D teams for product companies, working on complex, high-impact systems in domains like healthcare, fintech, and data platforms.

About the project

We’re building a cloud-based AI platform for clinical research used by large pharmaceutical and biotech companies.

The platform automates the generation and validation of statistical outputs (tables, figures, listings) — work that is traditionally manual, time-consuming, and error-prone.

We combine classical NLP and modern generative approaches to process complex, structured clinical data, reduce review cycles, and ensure full auditability.

What you’ll do

• Work on NLP problems: document parsing, NER, classification, table generation
• Build and experiment with both classical ML and LLM-based approaches
• Design and implement pipelines for tabular data processing
• Work with large, structured clinical datasets
• Develop PoCs and help bring solutions to production
• Evaluate different approaches, benchmark results, and choose what works best

• Write clean, maintainable, and reproducible code

   

Tech stack

• Python
• PyTorch / TensorFlow
• NLP: spaCy, transformers, LLMs
• pandas and tabular data tools
• Cloud-based tools (depending on the project)

Requirements

• 2–4 years of experience in Data Science / NLP
• Hands-on experience with deep learning frameworks
• Experience delivering ML solutions into production
• Strong Python skills
• Understanding of both classical NLP and generative approaches (LLMs, structured generation, etc.)
• Degree in Computer Science, Data Science, Statistics, or similar
• English — upper-intermediate

Nice to have

• Experience with LLM-based systems (e.g. text-to-SQL, structured generation)
• Experience with clinical or other regulated data domains
• Experience with cloud platforms

Why this role is interesting

• Real production impact (not just research)
• Combination of NLP + tabular data problems (rare in one role)
• Practical use of LLMs beyond hype
• Complex domain with meaningful challenges

What we offer

• Fully remote work
• 20 days paid vacation + public holidays
• Full legal & accounting support
• Co-working option if needed
• Competitive compensation with regular reviews