My client are a Machine Learning/AI start-up located in the vibrant Bay Area. They are a pioneering team committed to revolutionizing drug discovery through the development of cutting-edge foundational models. Their mission is to leverage advanced deep learning techniques to accelerate the identification and optimization of novel therapeutic compounds, transforming patient care and outcomes. Specifically, they are building a cross-functional and foundational model that they hope can apply to many areas within Biotechnology, not just limited to pure drug discovery. They are well backed by reputable Silicon Valley VCs, and have access to the right resources needed in such ambitious ML projects.
They are seeking a highly skilled Research Scientist to assist on leading and innovating their deep learning initiatives. This role demands a deep understanding of machine learning algorithms, extensive experience in developing and deploying large-scale models, and a strong publication record in top-tier conferences and journals. As a key member of the scientific team, this individual will drive the design, implementation, and optimization of state-of-the-art deep learning models tailored to the complexities of drug discovery.
Key Responsibilities:
- Lead the development of foundational models for drug discovery, employing advanced techniques in deep learning, neural networks, and computational biology.
- Collaborate with interdisciplinary teams of biologists, chemists, and data scientists to integrate multi-modal data sources and enhance model performance.
- Design and implement scalable machine learning pipelines, ensuring robustness, reproducibility, and efficiency in model training and evaluation.
- Stay abreast of the latest research in machine learning and computational biology, contributing novel ideas and methodologies to the scientific community.
- Publish groundbreaking research in high-impact journals and present findings at leading conferences, establishing the client as a thought leader in the field.
- Mentor and guide junior scientists, fostering a collaborative and innovative research environment.
Qualifications:
- PhD in Computer Science, Machine Learning, or very closely related field.
- Proven track record of impactful publications in top-tier machine learning and AI conferences/journals (e.g., NeurIPS, ICML, CVPR, Nature, Science).
- Extensive experience with deep learning frameworks and libraries (e.g., TensorFlow, PyTorch, JAX).
- Strong programming skills in Python, with expertise in machine learning libraries and tools.
- Demonstrated ability to develop and deploy large-scale machine learning models in real-world applications.
- Experience with bioinformatics, cheminformatics, or related fields is highly desirable.
- Excellent problem-solving skills, with the ability to tackle complex, unstructured problems, specifically related to machine learning.
- Strong communication skills, with the ability to articulate complex technical concepts to a diverse audience.
What the Client Offers:
- Competitive salary up to $400,000, commensurate with experience and qualifications.
- Equity options, providing ownership and a stake in the company’s success.
- Comprehensive health, dental, and vision insurance.
- Generous PTO and flexible working hours.
- Opportunities for professional development and continuous learning.
- Collaborative and inclusive work environment with cutting-edge resources and technology.
The client invites passionate and driven Scientists to join them in their quest to redefine the future of medicine through the power of deep learning and AI. This is a unique opportunity to be part of a transformative journey in drug discovery.
