Head of Computational Sciences & ML Platform

Flagship Pioneering; Cambridge (MA); On-site; USD 223,000 - 294,000; Full time

Job summary

Tilde Bio, Inc. is seeking a visionary, hands-on computational leader to build and head its computational sciences team in Cambridge, MA. You will own algorithms, models, and data infrastructure spanning signal processing to protein identification on a nanopore-based platform.

You will collaborate with nanopore scientists, engineers, and data scientists to turn experimental data into platform insights, while shaping a long-term computational roadmap and building a high-impact team.

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, Machine Learning, or a related field.
• 10+ years of experience in computational biology or a closely related area, with at least 4 years leading a team.
• Track record of building and developing strong computational teams across different organizations.
• Strong hands-on ML and programming skills, with fluency in modern data science tooling.
• Experience with cloud environments (e.g., AWS, GCP) and building scalable data infrastructure.
• Clear communicator — able to make complex computational work legible to experimental scientists and non-technical stakeholders alike.

Responsibilities

• Set the computational sciences strategy and roadmap, aligning priorities with platform goals.
• Build the computational sciences team — recruiting, mentoring, and creating an environment for researchers to excel.
• Lead development of algorithms and models for processing, decoding, and interpreting signals from the nanopore-based platform.
• Design and implement ML pipelines for protein identification, classification, and quantification across multi-modal data.
• Establish data management practices and cloud infrastructure to support scalable science.

Skills

Machine Learning

Programming

Cloud Environments

Education

PhD in Computational Biology

Tools

AWS

GCP

Data Pipelines

Job description

Tilde Bio, Inc. is seeking a visionary, hands-on computational leader to build and head its computational sciences team in Cambridge, MA. You will own algorithms, models, and data infrastructure spanning signal processing to protein identification on a nanopore-based platform.

You will collaborate with nanopore scientists, engineers, and data scientists to turn experimental data into platform insights, while shaping a long-term computational roadmap and building a high-impact team.