Lead Computational Biologist - Startup in the field of genetics (3029)

We are seeking an entrepreneurial Lead Computational Biologist to Join an early phase startup company in the field of genetics. The Lead Computational Biologist will architect the predictive analytic foundation enabling the company's breakthrough gene expression optimization platform. This high-visibility position shaping a venture-backed platform from genesis offers immense upside for creative technical leaders to transform how biological engineering is conducted.

Core Responsibilities:

• Conceptualize and design the data science infrastructure: create the technology stack, including data acquisition, preprocessing, storage, and analysis.
• Transform prototype-level algorithms into production-grade solutions: creating robust and scalable solutions.
• Integrate data science components into the online platform.
• Maintain and improve data pipelines and models: ongoing maintenance and improvement of data pipelines and models.
• Continuously learn, evolve, and embrace new technologies to keep the platform at the forefront of the ecosystem.

Requirements:

• Academic degrees in Computer Science, Data Science, Computational Biology.
• Proven experience of 5+ years in designing and implementing data science infrastructure.
• Proficiency in genetics is essential for this role.
• Strong expertise in Machine Learning with experience in developing and deploying models.
• Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.