Iambic
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.
Pharma · AI drug discovery
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 2 new AI-related roles. That is a -67% change versus the prior 30 days (6 → 2).
| 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 |
| 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 |
| Associate Scientist II/Senior Associate Scientist Biology Seeking a Senior Associate Scientist to join the Biology group, focusing on advancing small molecule drug discovery programs by supporting in vitro cell-based assays. The role involves designing, developing, and executing assays, analyzing data, and collaborating with cross-functional teams including machine learning, medicinal chemistry, and biology to revolutionize drug discovery. | — | 5 |
| Senior Scientist, Computational Chemistry Seeking a Computational Chemist with 5+ years of industry drug discovery experience to apply ligand and structure-based techniques, collaborate with ML scientists, and integrate computational methods with proprietary AI technologies for drug discovery. The role involves guiding design cycles, evaluating virtual libraries, and developing computational workflows. | Data | 5 |
| Senior Scientist, Computational Chemistry Seeking a Computational Chemist with 5+ years of industry drug discovery experience to apply ligand and structure-based techniques, collaborate with ML scientists, and integrate computational methods with proprietary AI technologies for drug discovery. The role involves guiding design cycles, evaluating virtual libraries, and developing computational workflows. | Data | 5 |
| Principal Scientist, Medicinal Chemistry Experienced medicinal chemist to design and optimize small molecules for drug discovery, collaborating with AI/ML teams on predictive models and automated experimentation. | — | 5 |
| Director/Senior Director, Medicinal Chemistry This role leads medicinal chemistry efforts within a life-science company that uses an AI-driven platform for drug discovery. The leader will guide a team, set scientific strategy, and collaborate with AI/ML teams on molecular generation, property predictions, and predictive modeling to accelerate the design-make-test cycle. While AI/ML is integral to the company's platform and processes, the core craft of this specific role is medicinal chemistry, not building AI models. | — | 5 |
| Associate Director/Director, Biology (Oncology Drug Discovery) Lead oncology drug discovery programs by integrating experimental and AI/ML-driven approaches, setting scientific direction, and driving cross-functional collaboration. The role focuses on advancing drug candidates from hit identification to IND submission. | — | 5 |
| Sr Associate Scientist I or II, GPCR Biology This role is for a Senior Associate Scientist in GPCR Biology at Iambic Therapeutics, a company that uses an AI-driven platform for drug discovery. The candidate will support in vitro cell-based assays to advance pre-clinical projects, working with a cross-functional team that includes machine learning experts. The core responsibilities involve designing and conducting in vitro studies, managing CRO scientists, executing cell-based assays, interpreting data, and contributing to lab management. While the company uses AI, the role itself is focused on biological assay execution and data analysis, not direct AI/ML model development or deployment. | — | 0 |
| Senior Director/Executive Director, DMPK Seeking an experienced DMPK leader to define scientific strategy, design and oversee studies, and lead regulatory submissions for drug discovery programs. This role requires deep expertise in DMPK, PK/PD modeling, and regulatory requirements, with a focus on small molecule oncology programs. | — | 0 |
| Sr Associate Scientist I or II, Medicinal Chemistry Seeking a Senior Associate Scientist in Medicinal Chemistry to join a drug discovery team. Responsibilities include designing, synthesizing, purifying, and characterizing chemical compounds, optimizing reaction conditions, analyzing data, and collaborating with computational chemists and machine learning researchers. Requires BS/MS in Chemistry with relevant experience in pharma/biotech, strong organic synthesis skills, and a drug hunter mindset. | — | 0 |