Machine Learning Scientist (Computational Biology)

Location

Location: South San Francisco, CA, hybrid with at least three days per week onsite

Salary

Salary: $183,000 - $238,000 per year

Company

hirify.global is a biotech startup using machine learning and multi-modal cellular data to accelerate drug discovery and development.

What you will do

• Develop ML methods for biological data analysis including network and graph-based modeling.
• Collaborate with experimental and computational biologists and ML scientists to identify novel phenotypes and screening paradigms.
• Integrate diverse data modalities including human cohort data to extract disease insights.
• Support development of disease-relevant cell models and high throughput phenotypic screens.
• Work within a cross-functional team to identify therapeutic targets and develop drugs.
• Maintain rigorous analysis standards and best practices in computational biology.

Requirements

• Must be located in or able to work onsite in South San Francisco, CA
• Ph.D. in computer science, machine learning, computational biology, systems biology, or related field.
• Extensive experience developing ML methods for biological data modalities.
• Strong programming skills in Python and familiarity with coding best practices.
• Experience with network and graph-based analysis, multi-modal data integration, and biological data analysis.
• Effective communication and collaboration skills across diverse teams.

Nice to have

• Experience with statistical genetics, gene regulatory network inference, or causal modeling.
• Familiarity with cloud computing services such as AWS or Azure.
• Industry experience or involvement with open source projects.
• Experience building infrastructure for data processing.

Culture & Benefits

• 401(k) plan with employer matching.
• Comprehensive medical, dental, vision, and mental health coverage.
• Flexible vacation and paid parental leave policies.
• Professional development budget and conference support.
• Home office setup stipend and monthly cell phone/internet stipend.
• Free onsite baristas, daily lunch, and commuter bus network for onsite/hybrid employees.