AI Data Scientist

San Francisco, CA, United States

Pivotal Life Sciences - AI Data Scientist - Job Description

Intro

If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of data scientists/engineers working together toward a common goal-the health and care of the patient. We're looking for people to not only join us-but to be a big part of the solution. To do more and be more. To do well and do good. If you have the ability to see the bigger picture and bring it to life, let's connect!

Pivotal Life Sciences ("PLS"), a part of the Nan Fung Group, is a global investment platform focusing on the life sciences. Leveraging on Nan Fung Group's strong capital base and long-term commitment to the space, the company aims to become the ideal partner for scientists, entrepreneurs, corporations, and investors in the life science space. Through direct investments via Pivotal bioVenture Partners funds (both in US and China) and fund investments covering the full spectrum of the industry (including therapeutics, medical devices, and diagnostics) and across different development stages, Nan Fung Life Sciences has significant presence in both US and Greater China. Learn more at www.pivotallifesciences.com.

Locations: San Francisco, CA, USA

The Vision

PLS envisions becoming the life sciences investment industry's best tech-enabled investment platform. The AI (Artificial Intelligence) team aims to provide best-in-class intelligence support across all steps of the investment process, from deal sourcing to exit. The system will function as an additional team member and help augment the investment team to make better investments and build better companies for unmet therapeutic needs. Ultimately, PLS will become a scientifically driven investor across the life science ecosystem from academic spinouts to venture rounds and to exit. Come be part of our vision!

The Role

As a PLS AI Data Scientist, you will be a member of our new global Data and Artificial Intelligence team. This team's goal is to build state-of-the-art data and AI technologies and products with strong research fundamentals for our life sciences investment arm. You will utilize your expertise in the data sciences and engineering to investigate and build data sources, models, and AI products that support the investment process. These models and AI products include disease mapping, portfolio management predictions, financial planning, and operational streamlining and optimizations. This is a great opportunity to work on a range of AI powered products in a growing team with exposure to the best life science companies today.

Responsibilities

Work with researchers, other data scientists, software engineers, and investors to develop and improve an AI and analytics platform which will support our investments team

Participate in the research and development on AI algorithms and models at PLS, keeping abreast of the latest developments in the AI space

Take an innovative approach in the use, evaluation, and development (where needed) of state of the art or novel models and technologies relevant to our products

Including Generative models (e.g. Large Language Models (LLMs)) as well as more classic ML and NLP models

Some emphasis on the evaluation and shaping of Generative models for our use-cases

Mapping, fusion, and feature engineering of multiple complex data sets including biological, medical, financial, corporate, others to be used as input for ML/AI models.

Data sources within biological and financial data sources including but not limited to PubMed, Patents, SEC (Securities and Exchange Commission) filing, other biological databases, financial data sets, and others

Collaborate closely with different functions to evangelize an AI supported investment process

Optimization and streamlining of operational work such as talent management, deal structuring, portfolio management with data solutions and AI models

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

Design and implement AI solutions working within a Software Engineering Life Cycle (SDLC (Software Development Life Cycle))

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

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