Data Scientist

Beaconcure is revolutionizing the way new drugs and vaccines reach the market by replacing manual regulatory processes with deep technology. Our core product, Verify, is an AI-powered statistical analysis validation and generation workspace that improves workflows, ensures data integrity, and accelerates regulatory approval. Accurate clinical research analysis is essential to delivering safe and effective treatments to millions of people. By assuring the quality and reliability of the data behind these analyses, Verify helps bring new medications to patients faster—including those who may be your family or friends. At Beaconcure, you will have the opportunity to make a meaningful impact while working alongside an inclusive and diverse team of highly talented professionals, helping transform innovative ideas into real-world solutions. We are looking for a Data Scientist to join our Research Team. The Beaconcure Research Team discovers, develops, and implements our core technology using both established and novel approaches, including Natural Language Processing (NLP) and tabular data processing. If you are a curious and creative data scientist, you may be an excellent fit for our team.

Role Overview As a Senior Data Engineer at Beaconcure, you will:

Role Overview

• In this role on the Beaconcure Research Team, you will support the research and development of novel AI and algorithmic approaches, contributing to the advancement of ideas from hypothesis to proof of concept.
• You will participate in the exploration of complex datasets, investigate underlying patterns, and rigorously evaluate alternative methods to identify the most effective solutions.
• Your work will leverage techniques such as NLP, GenAI, and other ML-based techniques, as well as tabular data analysis and other advanced computational methods, to address challenging research problems.

Key Responsibilities

• Contribute to the technical Beaconcure AI roadmap development and collaborate with team members on the practical research and its implementation.
• Design, develop, and implement NLP and tabular data algorithms using diverse methods, e.g., GenAI, RAG, deep learning, classical NLP and ML, NER, and rule-based regex.
• Work with large datasets, clean and preprocess data, and develop pipelines for data extraction and transformation.
• Stay updated on the latest developments in NLP and tabular data analysis, and apply state-of-the-art techniques to solve specific business problems.
• Collaborate with cross-functional teams, including software developers, DevOps engineers, and domain experts, to integrate the research solutions into production.

Requirements

• M.S. or Ph.D. in Computer Science or a related quantitative field.
• 2+ years of industry experience in NLP and/or tabular data processing.
• 1+ years of hands-on experience with deep learning methods.
• Experience delivering AI-driven projects to production.
• Strong experience in both classical and generative NLP (including text-to-SQL or generative tabular data).
• Strong Python skills and experience with deep learning frameworks.
• Familiarity with cloud-based NLP platforms is a plus.
• Excellent English communication skills (written and verbal).
• Strong collaboration, communication, and interpersonal skills.
• Highly organized, self-motivated, and able to work independently.