Principal Machine Learning Scientist

Are you a visionary in the field of AI and machine learning with a passion for transforming the landscape of drug discovery? Our client, a cutting-edge start-up at the forefront of generative protein design, is seeking a Principal Machine Learning Scientist to join their dynamic and innovative team. This is a unique opportunity to lead groundbreaking projects in an environment that thrives on creativity, collaboration, and scientific excellence.

About the Company:

Our client is specializing in the use of artificial intelligence to revolutionize drug discovery. With offices in San Francisco and Boston, they are strategically positioned in two of the most vibrant biotech hubs in the United States. Their mission is to harness the power of AI to design novel proteins and accelerate the development of life-saving therapies. As a member of this forward-thinking company, you will be part of a team that is passionate about making a significant impact on global health.

The Role:

As the Principal Machine Learning Scientist, you will be the driving force behind the AI initiatives that propel the company’s innovative drug discovery platform. Your expertise in generative protein design will be crucial in developing advanced machine learning models that can predict and generate novel protein structures with therapeutic potential. You will collaborate with cross-functional teams, including computational biologists, bioinformaticians, and medicinal chemists, to translate complex scientific problems into actionable AI solutions. You'll be expected to take existing ML approaches and heavily customize them to protein drug discovery. You will also design novel approaches, from scratch, so it's important you have a strong core ML skill-set.

Key Responsibilities:

• Lead the development and implementation of state-of-the-art machine learning algorithms for generative protein design.
• Design and execute experiments to validate the efficacy of generated protein structures.
• Collaborate closely with interdisciplinary teams to integrate AI models into the drug discovery pipeline.
• Mentor and guide junior scientists and researchers, fostering a culture of innovation and continuous learning.
• Stay abreast of the latest advancements in AI, machine learning, and computational biology, and apply these insights to drive the company’s research agenda.

Qualifications:

• Ph.D. in Computer Science, Computational Biology, Bioinformatics, or a related field from a top-tier university.
• Extensive experience in machine learning and AI, with a proven track record in generative protein design.
• Strong publication record in reputable scientific journals.
• Prior experience in a start-up environment, demonstrating agility and a proactive approach to problem-solving.
• Highly strong coding skills (Python) and fluency in major machine learning frameworks.
• Excellent communication skills, with the ability to articulate complex scientific concepts to diverse audiences.

Salary and Benefits:

• Competitive salary up to $250,000, commensurate with experience.
• Flexible working arrangements, including the option for remote work.
• Comprehensive benefits package, including health, dental, and vision insurance, and retirement plans.
• Opportunities for professional growth and development in a fast-paced, innovative environment.

If you are a pioneering scientist with a passion for leveraging AI to unlock the mysteries of drug discovery, we invite you to apply for this exciting opportunity. Join our client in their mission to change the future of medicine and make a lasting impact on global health.