Staff Machine Learning Bioinformatics Scientist

About the Company :

Currently seeking a highly motivated and experienced computational scientist to join a dynamic biotech start up in San Diego. The successful candidate will lead innovative projects at the intersection of bioinformatics, machine learning, protein design , and experimental data analysis, contributing to groundbreaking advancements in biotechnology. This role requires a unique combination of technical expertise, strategic thinking, and collaboration with multidisciplinary teams.

About the Role :

Key Responsibilities :

• Develop and deploy scalable bioinformatics solutions to address complex biological questions.
• Design and train large language models (LLMs) for protein design and optimization, leveraging our unique capabilities to generate quantitative protein-protein interaction measurements at unprecedented scale.
• Implement and drive iterative learning cycles between computational bioinformatics and experimental workflows, such as active learning or reinforcement learning approaches.
• Analyze sequencing data from a variety of platforms, including Illumina, Oxford Nanopore, and PacBio, to extract meaningful insights.
• Collaborate closely with experimental scientists to refine models and validate predictions through laboratory experiments.
• Champion a high-quality, scalable code base by adhering to best practices in software development, including unit testing and continuous integration / continuous deployment (CI / CD).
• Mentor junior scientists and contribute to fostering a culture of innovation and excellence within the team.

Qualifications :

Required Skills and Qualifications :

Preferred Skills :

Pay range and compensation package :

Equal Opportunity Statement :

Include a statement on commitment to diversity and inclusivity.

Salary : $170,000 - $200,000