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).
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).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| 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 ML models in drug discovery. The role requires deep fluency with structural biology data formats and a focus on creating robust, maintainable data infrastructure. | Data | 5 |
| 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 data for training AI models in structural biology. The role focuses on integrating diverse structural data sources (.cif, PDB) and ensuring data quality and reusability for ML scientists. | — | 5 |
| 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 |
| Software Engineer, Web Application Software Engineer responsible for the web application of an ML-driven drug-discovery platform, working across the full stack to build features for scientists. Focus on end-to-end feature shipping, UX for non-engineers, and maintaining a thin web layer over a service layer. Requires strong Python, FastAPI, and web UI skills, with an awareness of security and data handling. | — | 5 |
| Platform Engineer, CloudOps Infrastructure Iambic is seeking a Platform Engineer, CloudOps Infrastructure to build and own the platform for their ML-driven drug-discovery workflows. This role involves creating deployment templates, an orchestration layer for model training and inference, and associated tooling, CI/CD, and observability. The position requires hands-on DevOps/CloudOps experience to operate and improve the system, adapting the platform to new ML research requirements. The ideal candidate will treat infrastructure as a product and ensure reliable and reproducible execution of ML workloads. | Serve | 5 |
| Principal Engineer, Cloud Ops This role is for a Principal Engineer, Cloud Ops at Iambic Therapeutics, a company developing an AI-driven drug discovery platform. The engineer will support and drive the Cloud Ops roadmap, focusing on designing, building, and operating scalable AWS cloud infrastructure, networking, and automation (IaC). They will also ensure reliability, performance, cost efficiency, and security (ISO 27001 compliance), and improve observability and CI/CD pipelines. While working closely with the ML organization, the core focus is on the operational infrastructure supporting these efforts, including understanding ML deployment challenges. | — | 5 |
| Senior Software Backend Engineer, Platform Computing Senior Backend Engineer to integrate and operate the compute layer for data processing and model inference on a drug discovery platform. Focus on infrastructure, orchestration, and ensuring reliable, scalable production workloads for ML engineers and scientists. | Serve | 5 |
| Senior Software Engineer, Cloud Security Seeking a Cloud Security Engineer to develop, maintain, and govern security for software projects and cloud service configurations within a drug discovery operation. Responsibilities include improving cloud architecture security, embedding security into the SDLC, implementing security tooling, partnering with engineering teams, integrating security into CI/CD pipelines, building automated security checks, designing access models, establishing monitoring and alerting, leading incident response, and ensuring compliance with ISO 27001. | — | 0 |
| 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 |
| Senior Clinical Trial Manager, Clinical Operations Senior Clinical Trial Manager responsible for operational leadership of early-phase oncology studies, ensuring compliance with global regulatory requirements, ICH-GCP, and company SOPs. This role involves vendor oversight, risk management, timeline and budget performance, and cross-functional alignment within a growth-stage biotech environment. | — | 0 |
| Associate Director, Information Security Associate Director of Information Security to mature the company's security program, focusing on governance, IT, cloud security, software development lifecycle, and compliance in a regulated life sciences environment. This is a hands-on leadership role. | — | 0 |
| Senior Clinical Trial Manager, Clinical Operations (EU) Senior Clinical Trial Manager responsible for operational leadership of early-phase oncology studies, ensuring compliance with global regulatory requirements and managing cross-functional teams and external vendors. | — | 0 |
| Director, Drug Product Development This role leads drug product development for small molecule programs, focusing on formulation and process development from late discovery through clinical phases. It involves setting drug product strategy, overseeing scale-up, technology transfer, and manufacturing readiness at CDMOs, and ensuring high-quality CMC documentation for regulatory filings. The company utilizes an AI-driven platform for discovery and development. | — | 0 |