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 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 |
| 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 |
| 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 |
| 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 |
| Head of Medical Writing Lead and build the medical writing function, responsible for delivering high-quality submission-ready development documents for clinical-stage programs and IND submissions. Establish scalable processes and standards, and evaluate/integrate AI tools to enhance writing quality and efficiency. | — | 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 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 |
| 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 |
| 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 |
| Sr Corporate Counsel Seeking a Sr Corporate Counsel to join a growing legal team, focusing on commercial contracting, corporate governance, securities, financing, and public-company readiness. The role involves drafting/negotiating agreements, supporting board matters, partnering with Finance, leading securities reporting, developing legal function processes, and evaluating/implementing AI-enabled tools for efficiency while ensuring data privacy and responsible AI use. Requires a JD, 6-8 years of experience, strong knowledge of securities laws, and experience in life sciences/biotech/tech. | — | 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 |
| 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 |
| 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 |
| 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 |
| 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 |