Iambic
Pharma · AI drug discovery
Pharma · AI drug discovery
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.
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 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 3 new AI-related roles. That is a -40% change versus the prior 30 days (5 → 3).
| 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 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 |