Iambic
Pharma · AI drug discovery
Pharma · AI drug discovery
Iambic currently has 6 active AI-related roles in our index. The most common open titles are: Biological Structures Data Engineer I/II (2), Research Scientist II/Senior, Discovery Machine Learning, Machine Learning Scientist – Clinical Prediction, Machine Learning Scientist — Agentic data pipelines, Machine Learning Scientist — Large multimodal models. Most positions are in Engineering and Research.
Iambic's active AI hiring is concentrated in: post-training (50%), data (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Iambic is hiring AI talent in: United States (5 roles), Ireland (1 role).
Job postings at Iambic most frequently mention: Machine Learning, Drug Discovery, Data Quality, Python, Healthcare & Biomedical ML.
In the past 30 days, Iambic has posted 2 new AI-related roles. That is a -67% change versus the prior 30 days (6 → 2).
Currently tracking 4 active AI roles, with 13 new openings in the last 4 weeks. Primary focus: Post-train · Engineering. Salary range $130k–$190k (avg $160k).
Iambic currently has seven active job listings related to artificial intelligence. The majority of these roles, 43%, are focused on post-training aspects of AI development. Engineering is the most frequent function hiring for these positions, with research also being a significant area. The company is actively seeking candidates with expertise in technologies such as fine-tuning, model serving, and multimodal AI. Over the last 30 days, Iambic has added six new AI roles, representing a 100% increase compared to the preceding 30-day period.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Scientist — Large multimodal models Seeking a Machine Learning Scientist to research, develop, and scale a multimodal transformer model for drug discovery. The role involves architecture research, hybrid modeling, training/inference optimization, and deployment in interactive workflows. | Post-trainServe | 9 |
| Machine Learning Scientist – Clinical Prediction Machine Learning Scientist to fine-tune a multimodal transformer model for clinical and biomedical applications in drug discovery. The role involves data curation, model fine-tuning, experimental design, evaluation, and collaboration for production deployment. | Post-trainServe | 8 |
| Machine Learning Scientist — Agentic data pipelines Seeking a scientist to design and build agentic systems for automated data acquisition, cleaning, formatting, and quality-control of large-scale biomedical datasets to power a multimodal transformer model. This role involves developing LLM-based pipelines and automated quality-control workflows, evaluating agent architectures, and collaborating with ML scientists. | DataAgent | 8 |
| Research Scientist II/Senior, Discovery ML Seeking scientists to apply advanced ML techniques to drug discovery, focusing on multimodal transformer models for predicting drug-target interactions and molecular properties. Responsibilities include training, fine-tuning, and evaluating models, and collaborating with chemists and biologists to leverage ML insights. | Post-train | 8 |
| Research Scientist II/Senior, Discovery Machine Learning Research Scientist II/Senior role focused on applying advanced ML techniques, including multimodal transformer models, to drug discovery efforts. Responsibilities include training, fine-tuning, and evaluating ML models, and leveraging ML insights for decision-making in drug discovery cycles. The role collaborates with computational chemists, medicinal chemists, and biologists. | Post-train | 7 |
| Software Engineer, ML & Scientific Services Software Engineer to productize ML workflows into reliable, repeatable production services with secure-by-design backend engineering, focusing on authorization, access scoping, data governance, and auditability for a cloud-based ML-driven drug-discovery platform. | ServePost-train | 7 |
| Software Engineer I/II, Machine Learning Seeking an ML Software Engineer (I/II) to build, deploy, and operate ML systems for drug discovery. Responsibilities include implementing production ML lifecycle workflows (training/finetuning, evaluation, inference), deploying GPU-accelerated applications, and collaborating with ML scientists. | ServePost-train | 7 |
| Software Engineer II, Machine Learning Systems & Productization Software Engineer II, Machine Learning Systems & Productization at Iambic Therapeutics. This role focuses on engineering systems for drug discovery, co-developing and refining ML training and evaluation workflows with ML scientists. The engineer will translate research code into robust, scalable systems, build benchmarking systems, and contribute to productization without owning core model development or infrastructure. | DataEval Gate | 7 |