Job Description:

Generate:Biomedicines is at the forefront of therapeutics, merging machine learning with biological engineering and medicine to innovate Generative Biology. This novel approach allows us to computationally generate breakthrough medicines rather than relying solely on traditional discovery methods. Our advanced machine learning-powered platform has the potential to create new drugs across various biologic modalities, representing a paradigm shift in biotherapeutic development. We are on a mission to harness the revolutionary capabilities of generative biology to transform the lives of billions, focusing on patients who need it the most. As we expand, we seek individuals who are passionate about making a significant impact through collaborative problem-solving. The machine learning team is integral to our efforts, developing generative models and algorithms to produce novel proteins efficiently. We utilize our deep understanding of generative modeling and protein biophysics to create cutting-edge systems that work in tandem with our computational and wet lab teams, ultimately leading to the development of new therapeutics. The role involves close collaboration with diverse teams to maximize the potential of both internal and external data, contributing to the design and scaling of state-of-the-art applications in protein design.

IT Languages:

• Python
• Pytorch
• JAX

As a Machine Learning Scientist, you will play a pivotal role in developing and implementing foundational generative models and algorithms that are crucial for understanding and designing protein sequences, structures, and functions.:

Develop generative models for protein design and reasoning;; Scale systems utilizing extensive GPU resources to harness biological data;; Collaborate with wet lab teams to facilitate high-impact therapeutic applications;; Engineer production-grade machine learning systems for large-scale data processing;; Present research findings in meetings and prepare communication materials for various audiences

Spoken Languages:

• English

Skillset:

• Machine Learning
• Deep Learning Frameworks
• Data Analysis
• Generative Modeling
• Protein Design

Soft Skills:

• Collaborative
• Problem Solver
• Creative
• Motivated
• Rigorous

Qualifications:

• PhD in Computational Biology, Computer Science, or a related field
• Proven track record in innovative machine learning method development for scientific applications
• Experience in developing ML methods applicable to protein modeling and adjacent fields

Years of Experience:

3

Location:

Somerville, MA, United States

Job Benefits:

• Comprehensive health benefits
• Retirement savings plan
• Paid time off
• Professional development opportunities
• Flexible working hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a dynamic and inclusive work environment that promotes innovation and collaboration. Our culture emphasizes the importance of teamwork and is dedicated to making a significant impact in the field of biomedicines. We value passionate individuals who are committed to pushing the boundaries of science and technology.

Opportunities For Advancement:

• Growth into senior research roles, Opportunities for leadership positions, Involvement in groundbreaking projects

Visa Sponsorship:

Available