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.
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 |
| 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 |
| Biological Structures Data Engineer I/II Seeking a Biological Structures Data Engineer to build and maintain data pipelines for acquiring, curating, and transforming experimental and synthetic structural data for training AI models in drug discovery. This role requires deep fluency with structural biology data formats and strong software engineering practices to create robust, reusable infrastructure. | Data | 5 |
| 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 |
| 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 |
| Senior Software Engineer, Cloud Security Seeking a Senior Software Engineer for Cloud Security to develop, maintain, and govern security for software projects and cloud service configurations within a drug discovery operation. The role involves improving cloud architecture security, embedding security into the SDLC, implementing security tooling, integrating security into CI/CD pipelines, building automated security checks, and ensuring systems meet regulatory requirements like ISO 27001. The engineer will partner with various teams, including those developing ML models, to remediate vulnerabilities and reduce risk. | — | 0 |
| Director of Equity Administration & Corporate Compliance Director of Equity Administration & Corporate Compliance at a biotech company using AI/ML for drug discovery. The role focuses on equity program administration, securities compliance, and corporate governance, reporting to the Head of Legal. Responsibilities include managing equity plans, insider trading policies, employee training, SEC filings support, and relationships with transfer agents. Requires significant experience in equity administration, stock plan management, and corporate compliance, preferably in a publicly traded or pre-IPO biotech company. | — | 0 |
| 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 |
| Sr Manager, FP&A - Discovery R&D Senior Manager, FP&A for Discovery R&D at a biotech company using AI/ML for drug discovery. Responsibilities include financial planning, forecasting, modeling, and analytics for R&D groups, partnering with Computational Chemistry, Biology, etc. Requires strong FP&A experience in biotech/pharma, advanced Excel, and financial modeling skills. | — | 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 |