Machine Learning Scientist- Biotech/Pharma Experience Required

Company Overview:

Paratus Sciences (www.paratussciences.com) is a biotech startup dedicated to improving human health through an understanding of bat biology. We focus on identifying and developing groundbreaking therapeutics for a myriad of diseases by unlocking the secrets of the bat genome. The company received a $100 million Series A financing in March 2023. In addition to powered flight, bats have evolved the ability to control inflammation, tolerate viral infection, resist cancer, accept extreme diets, and live exceptionally long lives for a mammal of their size. However, the elusive lifestyle of bats coupled with a lack of scientific tools and reagents has made the study of these extraordinary animals difficult and slow going. We are developing the tools and methods necessary to understand the extreme and unique attributes of bat biology and apply these insights to identify and develop new therapies to address some of the most challenging health issues facing humankind.

Position Overview:

We are currently seeking a Machine Learning Scientist to join our growing team and make an impact right away! This role will be responsible for building and implementing machine learning models based on our unique multi-omics datasets and knowledge graphs. We are looking for someone with deep knowledge in biological datasets, data engineering, machine learning, deep learning, AI models, model deployment. 

Responsibilities:

• Develop analysis pipelines focused on multi-omics and multi-modal data. 

• Strategically identify, frame, prioritize, and execute projects across the entire spectrum of target discovery and pre-clinical testing that can accelerate the identification and optimization of prospective proteins against human targets. 
• Work seamlessly across knowledge graphs containing external, public-domain data and novel measurements generated by internal laboratory experiments.
• Lead and contribute to software development best practices within Paratus, including data management, cloud-based platforms and security, and version control.

Qualifications & Skills:

• PhD in Computer Science, Applied Mathematics, Information Technology, Data Science, Bioinformatics, or a related field with ideally 1-3 years of biotech/pharma industry experience

• Strong programming skills and experience with programming languages (Python or R required) ML frameworks (PyTorch, TensorFlow, JAX) and version control systems (Git).
• High proficiency in understanding and organizing biological datasets, creating impactful visualizations.
• Experience implementing, evaluating, and hyperparameter tuning small and large ML, DL, AI models.
• Experience with dynamic visualization tools (Tableau) a strong plus.
• Demonstrated experience with AWS environments, containerization tools (Docker), data orchestration languages (Cypher, SQL) considered a strong plus.

Additional Information

This role is based in the Boston/Cambridge area with an expectation of visiting NYC and Singapore occasionally. Paratus is a global company with locations on the East Coast, U.S. and Singapore. Flexibility to interact across time zones is required.

Travel requirements – Travel to NYC occasionally and/Singapore required.