Data Scientist NLP/LLM/Generative AI

Key Skills

Aartificial intelligence, AWS, ChatGPT, Data science techniques, Effective communication skills, Employee life cycle, Generative AI, Keras software library, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Presentation skills, Python Programming, PyTorch, Scikit-learn, SDLC, SQL, Statistics, TensorFlow

Job Description

The Role 

As a PLS Language Model/Generative AI Data Scientist, you will be a member of our new global AI and Data Intelligence team. This team’s goal is to build state-of-the-art data and AI technology with strong research fundamentals for our life sciences investment arm. You will utilize your expertise in the data sciences to investigate and work with relevant data sources and build AI products that support the investment process such as disease mapping, portfolio management predictions, financial planning, and management operations optimizations. This is a great opportunity to work on a range of AI powered projects in a growing team with exposure to the best life science companies today. 

Responsibilities 

• Work with researchers as well as software engineers and other data scientists to develop an AI and analytics platform which can support our investments team 
• Mapping and analyzing multiple data sets with emphasis on text-based data. For example: competitive landscape analysis for a drug target or company, tracking of companies in a sector, talent mapping and analysis, etc. 
• Develop LLM based AI models for due diligence using biological and financial data sources including but not limited to PubMed, Patents, SEC (Securities and Exchange Commission) filing, other biological data sets, financial data sets, and others 

• Work closely with the investment team to understand the business needs, and provide the investment team with insights on scientific and financial due diligence of new investment opportunities
• Design and implement AI solutions working within a Software Engineering Life Cycle (SDLC (Software Development Life Cycle))
• Maintain awareness of and utilize where appropriate, state-of-the-art AI including Generative models as well as more classic NLP models, etc. 
• Collaborate closely with different functions to evangelize an AI supported investment process 
• Text extraction and intelligence/insights development from biological, financial, and operations data sets 

• Optimization of operational work such as talent management, deal structuring, portfolio management with data solutions and AI models using extracted CRM (Customer Relationship Management) data, legal, financial, SEC filings, etc. 
• Benchmark, evaluate and document model performance, and provide recommendations for continuous improvement of models 

Requirements 

• Master’s degree or PhD in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related discipline 

• 3-5 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus 
• Deep experience with Python
• Experience with the more recent large language models (GPT-4, Stable Diffusion models, others, other more focused language models) 
• Experience or strong interest in working with cloud computing systems (preferably AWS (Amazon Web Services)) 
• Experience with AI platforms such as SageMaker, MLFlow, others, preferred 

• Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, Keras, Scikit learn etc. 
• Knowledge of relational database architecture and data management with expertise in SQL 
• Familiarity with software development practices such as unit testing, code reviews, and version control 
• Excellent analytical skills and presentation skills
• Strong verbal and written communication skills and ability to work independently and cooperatively 

• Proficiency in English 
• US Work Visa 
• Hybrid work schedule: Able to be in San Francisco office, in-person at least 3 days per week, option to work from home 2 days per week 
• Salary Range $142k-$200k