Lead Data Scientist LLM

WaveAccess is looking for a Data Scientist to join our team and contribute to innovative projects in the pharmaceutical domain. This role involves working with real-world pharmaceutical data and leveraging the power of Large Language Models (LLMs) to drive impactful insights and solutions.

Responsibilities:

• LLM Integration: Develop, fine-tune, and implement Large Language Models to analyze and process diverse sets of text and medical data
• Data Analysis: Perform advanced data analysis on real-world pharmaceutical datasets to extract meaningful insights and support decision-making processes
• Text Mining and NLP: Utilize natural language processing techniques to extract relevant information from large volumes of text, including medical literature, patient records, and clinical trial data
• Model Development: Build and validate predictive models to address key challenges in the pharmaceutical industry, such as drug efficacy, patient outcomes, and adverse event prediction
• Innovation: Stay up-to-date with the latest advancements in LLMs and NLP, and apply innovative approaches to solve complex problems in the pharmaceutical field
• Team Leadership: Manage and mentor a team of developers to ensure effective collaboration and high-quality deliverables, fostering a culture of innovation and continuous improvement while aligning project goals with organizational objectives.

Requirements:

• At least 5 years of experience in a Data Scientist position
• English - B2
• Deep knowledge of Neural Networks and architectures for working with sequences, in particular (RNN, LSTM, Transformers, CNN, attention)
• Experience with Large Language Models (LLMs) and their application. Familiarity with modern LLM techniques such as Retrieval-Augmented Generation (RAG) and LLM agents
• Solid Python skills
• Experience in presenting achieved results
• Experience in managing a team

Technologies:

• Python
• Transformers
• LLM+ RAG
• Standard NLP stack
• Standard ML stack
• Basic SQL
• Git
• Vector databases(Postgres+pgvector / Milvus/ Qdrant/ Faiss)

Preferred:

• Knowledge of general Machine Learning approaches
• Knowledge of mathematical statistics
• Experience with AWS (EC2, S3)
• Linux + bash, ssh
• Experience in written and verbal communication with business stakeholders
• Experience with full development cycle

Nice to have:

• RestAPI development experience
• Snowflake
• Docker
• Understanding of CI/CD
• Java/C++/Other languages

We offer the following conditions:

• Work in a dynamic international team
• Opportunity for collaboration through individual entrepreneurship/self-employment for colleagues outside of Russia
• Participation in foreign and Russian projects
• Health insurance with dental coverage
• Necessary equipment for work
• Corporate training programs
• Wide opportunities for self-realization, professional and career growt
• Democratic approach to processes and flexible start of the workday
• Option to relocate between our overseas offices.