Machine Learning Scientist Full Time NEW

Iambic Therapeutics is a pioneering clinical-stage life sciences and technology company dedicated to transforming drug discovery through the power of artificial intelligence. Founded in 2020 and headquartered in San Diego, California, the company has assembled a world-class team of AI experts and experienced drug hunters. Iambic’s innovative platform leverages AI-driven methodologies to accelerate the identification and development of novel medicines, achieving unprecedented speed and success in advancing drug candidates into human clinical trials across multiple therapeutic areas. The company’s mission is to deliver better medicines by harnessing cutting-edge AI technologies to address urgent unmet patient needs. With a focus on innovation, collaboration, and inclusivity, Iambic continues to push the boundaries of biomedical research and drug development, establishing itself as a leader in AI-powered therapeutics.

About The Role

We are seeking a highly skilled Data Engineer and Biomedical Data Scientist to join our team at Iambic Therapeutics. In this role, you will be instrumental in designing, developing, and maintaining advanced data acquisition and curation systems for our Enchant multimodal transformer model. Enchant is trained on vast and diverse biomedical datasets, and your expertise will ensure the quality, reliability, and scalability of these datasets. You will work at the intersection of large language model (LLM) automation and biomedical data engineering, creating intelligent agents capable of navigating heterogeneous data sources, enforcing data standards, and operating efficiently at scale. This position offers an exciting opportunity to contribute to cutting-edge AI applications in drug discovery, working closely with ML scientists and data engineers to support the development of innovative therapeutics.

Qualifications

• Master’s or PhD in a computational STEM field such as Computer Science, Bioinformatics, Data Science, or equivalent industry experience
• Strong Python engineering skills, with experience in building and maintaining production-quality software systems
• Hands-on experience with LLM APIs (e.g., Claude, GPT) and agentic patterns such as tool use, orchestration, and multi-step reasoning
• Familiarity with biomedical or chemical data sources and formats (e.g., PDB, UniProt, ChEMBL, SDF/MOL, FASTA)
• Proficiency in data engineering fundamentals including ETL processes, data validation, and working with both structured and unstructured data at scale
• Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment

Responsibilities

• Design, develop, and maintain agentic systems for automated data acquisition from public and proprietary biomedical data sources
• Create LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities such as molecular, genomic, clinical, and literature data
• Implement automated quality control workflows to detect anomalies, flag inconsistencies, and enforce data standards
• Evaluate and optimize agent architectures, prompting strategies, and tool-use patterns to enhance system reliability and throughput
• Collaborate with ML scientists to understand data requirements and translate them into scalable, efficient data acquisition and processing systems
• Monitor, troubleshoot, and improve data pipelines in production environments, ensuring robustness and reliability
• Document data provenance, processing decisions, and quality metrics to support reproducibility and auditing efforts

Benefits

• Industry-leading competitive salary
• Company-paid comprehensive healthcare plans
• Flexible spending accounts (FSA)
• Voluntary life insurance options
• 401(k) retirement plan with company matching
• Uncapped paid vacation policy
• Access to a state-of-the-art facility in San Diego with amenities including an onsite gym and dining options
• Remote work flexibility within the US and UK

Equal Opportunity

Iambic Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, national origin, age, disability, or any other protected status. We believe that diverse perspectives foster innovation and are essential to our mission of transforming drug discovery through AI technology.