Join Our Team at Deep Genomics as a Senior Machine Learning Scientist

About Deep Genomics: Deep Genomics stands as a pioneering force in the fusion of artificial intelligence with drug discovery. Our unique AI platform is expertly designed to unravel the complexities of RNA biology, unveiling novel drug targets and therapeutic solutions out of reach with conventional methods. At our dynamic hubs in Toronto and Cambridge, MA, our expert team, proficient in machine learning, bioinformatics, and drug development, is redefining the creation of new medicines.

The Opportunity: Machine Learning Research Scientist

As a Machine Learning Research Scientist at Deep Genomics, you'll propel the innovation of advanced AI models and algorithms that are set to reform the future of drug discovery. Engage directly in enhancing our AI platform through collaborative projects with top-tier researchers, tackling intricate challenges in RNA biology, and expediting the journey of groundbreaking discoveries to transformative therapies.

Ideal Candidate

We are searching for an extraordinary candidate with a robust research pedigree and a fervor for advancing machine learning applications within drug discovery. Required is a Ph.D. in Computer Science, Machine Learning, Computational Biology, or closely related fields, accompanied by a solid record of contributions to leading conferences and journals. Experience in developing machine learning models for operational use is highly advantageous.

Key Responsibilities:

• Develop cutting-edge machine learning models and algorithms focused on predictive modeling, sequence analysis, and structural biology.
• Work alongside cross-functional teams to plan and execute research studies addressing urgent challenges in RNA biology and drug discovery.
• Maintain a keen awareness of emerging trends in machine learning, bioinformatics, and computational biology, adding to the growth of these domains.

Requirements:

• Ph.D. in Computer Science, Machine Learning, Bioinformatics, or related fields with an impressive publication track record.
• Deep expertise in machine learning, deep learning, and neural networks, underpinned by a thorough theoretical understanding.
• Proficient in Python with practical experience in major machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Strong foundation in mathematics and statistics, skilled in optimization, probabilistic modeling, and numerical techniques.
• Outstanding communication and teamwork capabilities, equipped to excel in a multidisciplinary environment.

Desirable Skills:

• Background in bioinformatics, computational biology, or drug discovery.
• A grasp of RNA biology, structural biology, or similar areas.
• Experience with cloud computing platforms like AWS or GCP, and familiarity with distributed computing frameworks.

What We Offer

Embark on a transformative career with Deep Genomics where you'll have the opportunity to revolutionize drug discovery through AI. Benefit from a competitive salary coupled with equity compensation (ESOPs), a comprehensive range of company-paid benefits, flexibility in remote work, and unparalleled opportunities for professional growth within a premier team of researchers and developers at the forefront of scientific and technological innovation.

Deep Genomics is an inclusive workplace. We welcome and encourage applications from people with disabilities. Accommodations are available upon request for candidates participating in all aspects of the selection process.

Thank you for considering a career at Deep Genomics. Please note, only candidates selected for an interview will be notified.