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Machine Learning Scientist II/Sr (Omics)

JOB SUMMARY

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.

KEY RESPONSIBILITIES

  • 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.

REQUIRED QUALIFICATIONS

  • 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.

PREFERRED QUALIFICATIONS

  • Experience working in cloud or HPC environments and with distributed training.

  • Familiarity with multimodal transformers.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

Average salary estimate

$165000 / YEARLY (est.)
min
max
$140000K
$190000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
June 27, 2025

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