Senior AI Scientist, BenevolentAI
AI-enabled drug discovery
Job no longer available
AI-enabled drug discovery
21-100 employees
Job no longer available
21-100 employees
Company mission
To unlock the power of AI to transform drug discovery and bring effective medicines to every patient.
Role
Who you are
- An advanced degree (Masters or PhD) in machine learning, computer science, or a related field with a clear focus on empirical research
- Strong knowledge of modern machine learning methods and techniques (e.g. transformers, LLMs, GNNs, etc.)
- Strong proficiency with Python
- Knowledge of modern tools for machine learning, including frameworks such as PyTorch
- Experience building research prototypes and developing product-worthy tools from them
- Strong communication skills: ability to communicate complex machine learning concepts to a broad audience
- Ability to work independently as well as part of a team
- Bonus points if you have experience applying machine learning in drug discovery or related fields, and/or knowledge of core problems in drug discovery and development
What the job involves
- BenevolentAI is seeking to hire a talented AI Scientist to contribute to the development of our industry-leading AI models
- As an AI Scientist, you will perform research to develop state-of-the-art solutions around the core problems we work on at BenevolentAI
- In particular, you will focus on methods to address crucial challenges in end-to-end drug discovery, for example, using multimodal data to identify the best target to modulate in order to treat a disease, or modelling the molecular properties and structures of compounds that can modulate that target
- Apply your expertise in machine learning to research new solutions to important problems in drug discovery
- Work as a member of a cross-functional team comprising specialists in informatics, engineering, AI and drug discovery to develop new capabilities and improve existing products
- Keep up-to-date with the latest research and progress in machine learning for drug discovery
- Work with machine learning engineers to help translate research prototypes into practical solutions for BenevolentAI’s products and platform
- Follow robust software development best practices
- Contribute to writing papers for journals and at conferences
- Contribute to our thoughtful, collaborative, and ambitious culture
- Propose novel machine learning projects and research directions that can better address important challenges in drug discovery
- Promote machine learning best practices, such as: scalable training and deployment, in-depth model introspection and evaluation, new state-of-the-art methods, and so on
- Identify opportunities for publications
- Represent BenevolentAI externally at conferences and events
Salary benchmarks
Our take
There is a lot of research being done in the pharmaceutical industry, with BenevolentAI saying there's a new research paper published every 30 seconds. But the company argues that this information is not being used in a smart way for the discovery and development of new drugs.
To tackle this problem, BenevolentAI uses AI to analyse biomedical information, from clinical trials data to academic papers. This is used to identify molecules that have failed in clinical trials and predict how these same compounds could be more efficient targeting other diseases.
This approach could dramatically accelerate the discovery of new drugs, which makes it a very valuable proposition. BenevolentAI has collaborated with large pharma companies like AstraZeneca and Janssen Pharmaceutica, and raised significant funding to power R&D.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Sep 2019
$90m
LATE VC
Apr 2018
$115m
LATE VC
Total funding: $305m
Company benefits
- Work from home opportunities
Company HQ
Fitzrovia, London, UK
Leadership
Ivan Griffin
(Chief Business Officer & Founder)Former COO of the company. Worked as a Venture Capitalist for over a decade. Also helped launch Genomics England, a Company created to deliver the 100,000 Genomes Project as launched by the Prime Minister in 2013.
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