Generative Modeling – Who Needs Engineers
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Software Engineering RecruitmentSun, 29 Sep 2024 17:15:02 +0000en-US
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3232Scientist I, Machine Learning
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Sun, 29 Sep 2024 17:15:02 +0000/wne_live/jobs/jobs-categories/scientist-i-machine-learning/Scientist I, Machine Learning
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