Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans.
At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster—ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery.
We are seeking Machine Learning Engineering Interns to join our talented, ambitious, and kind team for a few months. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. You may also have the opportunity to publish on your work.
Types of projects you might work on:
Improving methods for predicting molecular properties from chemical structures
Improving generative chemistry methods
Building agents that can synthesize complex information from drug programs and applying that information toward molecular optimization
Engaging directly with our scientific users, incorporating their feedback into your work
Who you are:
You are an advanced undergraduate or graduate student and have done research on machine learning methods, ideally (but not necessarily) related to machine learning for chemistry, biology, or more general work with LLMs
You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
You have exceptional written and oral communication skills
Working at Inductive
At Inductive Bio, we know that the people on the team are what make us great. We offer competitive compensation for our interns. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees, including interns, should have full lives beyond their career.
Are you ready to dive into the dynamic world of drug discovery? At Inductive Bio, we're on a mission to revolutionize how medicines are developed, using cutting-edge AI to predict molecular behavior. As a Machine Learning Intern, you'll be a vital part of our innovative team for a few months, working remotely with some of the brightest minds in biotechnology and technology. Our company is leveraging advanced machine learning techniques to create models that can forecast molecular properties from chemical structures, streamlining the drug discovery process. You'll have the chance to tackle exciting projects, such as enhancing predictive methods and developing agents to synthesize information from drug programs. We look for forward-thinking individuals who can engage with our scientific users and incorporate their feedback into machine learning challenges. It’s essential that you come equipped with experience in machine learning fundamentals and a proficiency in Python-based frameworks like PyTorch or TensorFlow. Alongside your technical skillset, your ability to communicate effectively will help you thrive in this environment. Joining Inductive Bio means being part of a warm and supportive team that values work-life balance, even in a fast-paced startup setting. With competitive compensation and potential for publication of your work, this internship is a fantastic opportunity to make a significant impact while growing your own expertise. Let's innovate together and bring safer, higher-quality medicines to those who need them most!
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