My client is an AI/ML startup headquartered in the dynamic heart of New York City. They are a trailblazing company with a mission to revolutionize drug discovery by building next-generation foundational models. Their vision is to harness the power of advanced deep learning techniques to streamline the discovery and optimization of novel therapeutic compounds, ultimately reshaping patient care and outcomes. Their approach is not limited to drug discovery alone but aims to create cross-functional models applicable across a wide range of biotechnology fields. With strong financial backing from renowned New York-based investors, they have the necessary resources to drive forward these ambitious AI-driven projects.
They are currently seeking an experienced Research Scientist to spearhead their deep learning research efforts. This role requires a profound knowledge of machine learning algorithms, substantial experience in developing and scaling large models, and a proven track record of publications in prestigious conferences and journals. As a vital part of their research team, this scientist will lead the design, implementation, and optimization of cutting-edge deep learning models tailored to the unique challenges of drug discovery.
Key Responsibilities:
- Lead the creation of foundational models for drug discovery using advanced deep learning techniques, neural networks, and computational biology methods.
- Collaborate with multidisciplinary teams, including biologists, chemists, and data scientists, to integrate complex data sources and improve model accuracy.
- Develop and implement scalable machine learning workflows, ensuring models are robust, reproducible, and efficient.
- Keep up with the latest advancements in machine learning and computational biology, introducing innovative approaches to the team and the scientific community.
- Publish influential research in leading scientific journals and present findings at major conferences, positioning the company as an industry leader.
- Mentor junior scientists, fostering a culture of collaboration and creativity within the research team.
Qualifications:
- PhD in Computer Science, Machine Learning, or a closely related discipline.
- A strong portfolio of impactful publications in top machine learning and AI venues (e.g., NeurIPS, ICML, CVPR, Nature, Science).
- Extensive hands-on experience with deep learning tools and libraries such as TensorFlow, PyTorch, or JAX.
- Proficiency in Python and expertise with machine learning toolkits and frameworks.
- Proven ability to develop and deploy large-scale ML models in practical applications.
- Experience in bioinformatics, cheminformatics, or similar fields is highly advantageous.
- Exceptional problem-solving skills, particularly in addressing complex and unstructured machine learning challenges.
- Strong communication skills, capable of translating intricate technical concepts to diverse audiences.
What the Company Offers:
- Competitive salary, up to $400,000, based on experience and qualifications.
- Equity options, offering a chance to share in the company's growth and success.
- Comprehensive health, dental, and vision insurance coverage.
- Generous paid time off and flexible working arrangements.
- Access to professional development opportunities and ongoing learning.
- A collaborative, forward-thinking work environment equipped with cutting-edge technology and resources.
This is an exciting opportunity for passionate scientists to join a groundbreaking team and help redefine the future of medicine through deep learning and AI. Be part of a transformative journey that aims to shape the next era of drug discovery.