Computational Biologist, Genomics — Cancer AI & ML Innovator

Waypoint Bio; New York (NY); Presencial; USD 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Descripción de la vacante

Waypoint Bio seeks a highly motivated computational biologist to work across our R&D program. You will apply deep learning and software engineering to fluorescence microscopy data, guiding the design of cell therapies for solid tumors and collaborating with experimental biologists to push the platform forward.

You will join a collaborative, interdisciplinary team in a well-funded biotech startup, focusing on innovative methods and scalable computational pipelines to accelerate cancer therapies.

Formación

• PhD or equivalent in bioinformatics, computational biology, CS, data science, AI, or statistics.
• Familiarity with molecular and cellular biology.
• Proficiency with Python/R and libraries (numpy, scikit-learn, pandas, pytorch).
• Experience with ML, esp. deep learning.
• Ability to optimize code for speed and efficiency.
• Familiarity with software development practices (version control, file management, organization).
• Ability to learn quickly, prioritize multiple tasks in a fast-paced environment.
• Rigorous understanding of scientific and statistical practices (experimental design, hypothesis testing).
• Clear and precise technical communication.

Responsabilidades

• Analyze and interpret spatial biology data from Waypoint’s platform to evaluate cancer therapies.
• Develop computational methods to design and filter thousands of novel candidate cancer therapies (modeling/designing cells, pathways, proteins).
• Develop, maintain, and run pipelines for fluorescence microscopy image analysis and data processing.
• Develop and maintain compute infrastructure to automate and scale our methods.
• Collaborate with experimental scientists to innovate across disciplinary boundaries.
• Collaborate on joint projects and shared code bases with other computational scientists.

Conocimientos

Machine learning

Computational biology

Strong communication

Problem solving

Independent learner

Educación

PhD or equivalent in bioinformatics, computational biology, computer science, data science, AI, or statistics

Herramientas

Python

R

numpy

scikit-learn

pandas

pytorch

Descripción del empleo

Waypoint Bio seeks a highly motivated computational biologist to work across our R&D program. You will apply deep learning and software engineering to fluorescence microscopy data, guiding the design of cell therapies for solid tumors and collaborating with experimental biologists to push the platform forward.

You will join a collaborative, interdisciplinary team in a well-funded biotech startup, focusing on innovative methods and scalable computational pipelines to accelerate cancer therapies.