Machine Learning Scientist II/Sr (Omics) - Remote

Overview

Iambic Therapeutics is seeking a machine‑learning scientist to extend Enchant—our multimodal transformer—by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi‑omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol.

In Short

• Identify, prioritize, and acquire multi-omics datasets.
• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets from public and proprietary sources.
• Design schemes for pretraining and finetuning Enchant on multi-omics data.
• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress.
• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs.
• Write high‑quality, tested code and deploy models across multi‑GPU or HPC environments; monitor performance and iterate.
• Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team.
• Mentor colleagues in best practices for data engineering, modeling, and experimental design.

Requirements

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience.
• Demonstrated expertise applying deep learning to omics data at scale.
• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar).
• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics.
• Solid grasp of causal inference, experimental design, and statistics.
• Familiarity with software engineering best practices, version control, code review, and continuous integration.

Benefits

• We offer a competitive compensation package, pension contributions, and flexible holiday allowances to our team.
• Our UK office provides a modern and collaborative work environment, right in the centre of Bristol.