--- title: 'Machine Learning Scientist – Clinical Prediction at Iambic Therapeutics, Inc' canonical: 'https://feeny.ai/job/machine-learning-scientist-clinical-prediction-iambic-therapeutics-inc-boston-r8b4amskssr5' type: 'job' last_seen: '2026-09-09' --- # Machine Learning Scientist – Clinical Prediction at Iambic Therapeutics, Inc - **Company:** Iambic Therapeutics, Inc - **Location:** Boston, MA - **Compensation:** $148k–$186k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-31 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/iambic-therapeutics/e418c9bf-4fe6-4484-92ad-e9a320557815/application **Skills:** Python, Deep Learning, Data Science, Docker, CUDA, Kubernetes, Weights & Biases, Experiment Tracking, ClinicalTrials.gov AACT data, MedDRA, Pharmacovigilance, Adverse event data, Multi-task learning, Agentic data extraction, HPC, Large-scale computing > Design and implement clinical fine-tuning of Enchant, a multimodal transformer model, for drug discovery applications. Identify and curate datasets for clinical endpoint prediction, develop rigorous experimental frameworks, and deploy models to support therapeutic decision-making. ## Job description ## JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. In this role, you will design and implement clinical fine-tuning of Enchant, our multimodal transformer model trained on a wide variety of biomedical data, pushing the boundaries of what large-scale foundation models can achieve in drug discovery. This role spans data sourcing through to production deployment. You will identify, curate, and evaluate datasets that support prediction of relevant clinical endpoints (patient- and trial-level outcome modeling, safety/toxicity prediction, and PK/PD response modeling) and fine-tune Enchant to deliver critical clinical insights. This includes developing rigorous, leakage-resistant experimental frameworks, optimizing training, orchestrating runs at scale, and working with colleagues across ML and clinical functions to put these models into the hands of scientists making real therapeutic decisions. ## KEY RESPONSIBILITIES - Fine-tune large-scale multimodal transformer models for clinical and biomedical applications - Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes - Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage (split, metadata, trial-family, temporal, ontological, arm-comparator, etc.) - Design and maintain benchmarking and evaluation frameworks that track model quality across models and tasks - Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics. - Collaborate with ML and software engineering colleagues to deploy and operationalize models - Partner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needs - Communicate results to internal teams, external partners, and at conferences - Generate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity ## REQUIRED QUALIFICATIONS - MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth - Strong Python experience, including implementing and fine-tuning deep learning models - Demonstrated experience in clinical science or working with clinical datasets - Excellent Data Science skills (problem framing, data sourcing, extraction, cleaning, visualization, EDA, modeling, tuning, storytelling, etc.) - Enough independence to own a workstream from data ingestion through evaluation - Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing - Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases) ## PREFERRED QUALIFICATIONS - Experience building and deploying clinically relevant prediction models - Familiarity with ClinicalTrials.gov/AACT http://ClinicalTrials.gov/AACT data - Experience with MedDRA, pharmacovigilance, or adverse event data - Direct exposure to multi-task learning - Hands-on experience with agentic data extraction - HPC or large-scale computing experience ## ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai http://iambic.ai. ## MISSION & CORE VALUES Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. ## PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play. ## About Iambic Therapeutics, Inc ## Company Overview - **One-liner**: Iambic Therapeutics is a clinical‑stage biotechnology company that uses an AI‑driven platform to discover and develop novel small‑molecule medicines for oncology and other diseases. - **Entity Type**: Private (late‑stage venture‑backed) - **Headquarters**: San Diego, California, United States - **Founded**: 2020 - **Founders**: Not explicitly named in available sources; leadership includes a Co‑Founder & CEO and a Co‑Founder & CTO. ## Core Business - **Primary industries**: Biotechnology, AI‑powered drug discovery, oncology therapeutics - **Target customers**: B2B partnerships with pharmaceutical companies (e.g., Bayer) and, ultimately, patients through a wholly‑owned pipeline of clinical‑stage candidates - **Mission**: *“Better technology for better medicines”* – using machine learning and automation to transform the creation of new therapeutics ## Products & Services - **Enchant Platform**: A multi‑modal transformer AI that breaks down data barriers between preclinical and clinical R&D, enabling rapid molecular design. - **NeuralPLexer**: A co‑folding AI technology that predicts protein‑ligand structures to guide drug design. - **Automated High‑Throughput Experimentation**: AI‑driven robotics that generate new biological data from novel molecular designs on a weekly cadence. - **IAM1363** (HER2 inhibitor): A highly selective, brain‑penetrant tyrosine kinase inhibitor for HER2‑driven cancers; currently in Phase 1b clinical studies. - **IAM‑C1** (CDK2/4 dual inhibitor): A potential first‑in‑class selective inhibitor for HR+/HER2‑ metastatic breast cancer (preclinical). - **IAM‑K1** (KIF18A inhibitor): A potential best‑in‑class allosteric inhibitor for triple‑negative breast cancer, ovarian cancer, and other solid tumors (preclinical). - **Undisclosed programs**: Additional wholly‑owned candidates across multiple target classes and mechanisms. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: **Total funding** – $330.8 M (including a $100 M Series B in Oct 2023, a $50 M Series B extension in Apr 2024 led by EXOR N.V. and Mubadala Capital, and a $127.8 M venture round in Nov 2025) - **Notable Investors/Partners**: EXOR N.V., Mubadala Capital, Nexus Venture, Bayer (collaboration in AI drug discovery), and a Scientific Advisory Board including Nobel Laureate Frances Arnold (Caltech) - **Growth Signals**: - Headcount of **117** (64.5 % year‑over‑year growth) - Active job postings: **18** (+200 % quarterly, +50 % yearly) - Pipeline advanced from program launch to IND in **2 years** (vs. 6‑year industry average for IAM1363) - Broad platform applicability demonstrated across orthosteric, allosteric, and protein‑protein interaction modalities ## Competitive Advantages - **Speed**: AI‑driven platform can deliver development candidates to clinical trials in roughly one‑third the industry average time. - **Selectivity & Differentiated Profiles**: IAM1363 shows > 5000‑fold selectivity against EGFR, avoiding EGFR‑driven toxicity; IAM‑C1 targets CDK2/4 with a novel selectivity profile. - **Broad Platform Applicability**: Platform has produced leads across diverse protein classes and mechanisms (orthosteric, allosteric, PPI modulators). - **Integration of AI and Drug Hunting**: Tightly integrated team of AI experts and seasoned drug hunters, with a culture of “audacity” that tackles hard chemistry problems. ## Strategic Focus - Advancing the clinical pipeline: IAM1363 Phase 1b, preparing IAM‑C1 and IAM‑K1 for IND‑enabling studies. - Expanding platform partnerships (e.g., Bayer collaboration). - Scaling the organization: actively hiring in ML science, computational chemistry, medicinal chemistry, and clinical operations. - Exploring new therapeutic areas and target classes through the Enchant and NeuralPLexer technologies. ## Why Work Here - **Culture**: Values of **Respect**, **Collaboration**, and **Audacity** – cross‑functional teamwork with resilience and optimism; a flat, high‑trust environment. - **Work Model**: Based in La Jolla/San Diego, CA; the company emphasizes on‑site collaboration for drug‑discovery and lab‑based roles; remote/hybrid policy not explicitly stated. - **Team Growth**: Rapidly scaling (headcount +64 % YoY) with a strong pipeline of open roles in ML, computational chemistry, drug product development, and clinical operations. - **Cutting‑Edge Work**: Opportunity to work at the intersection of frontier AI (large multimodal models, agentic data pipelines) and real‑world drug discovery that reaches patients. - **Leadership & Mentorship**: Advisory board includes Nobel laureate and former NVIDIA AI director; close integration of AI and biology. ## Sources 1. [iambic.ai](https://www.iambic.ai/) – Homepage, platform, and corporate overview 2. [iambic.ai/about](https://www.iambic.ai/about) – Leadership, advisory board, investors 3. [iambic.ai/pipeline](https://www.iambic.ai/pipeline) – Pipeline details (IAM1363, IAM‑C1, IAM‑K1) 4. [iambic.ai/careers](https://www.iambic.ai/careers) – Careers page, values, open positions 5. [linkedin.com/company/iambic-ai](https://www.linkedin.com/company/iambic-ai) – Company stats (headcount 117, $3.4M revenue, $330.8M funding, funding rounds, employee growth) ## Other roles at Iambic Therapeutics, Inc - [Sr Manager, FP&A - Discovery R&D](https://feeny.ai/job/sr-manager-fp-a-discovery-r-d-iambic-therapeutics-inc-san-diego-sznt8xkbx741) — San Diego, CA - [Director/Senior Director, Immunology](https://feeny.ai/job/director-senior-director-immunology-iambic-therapeutics-inc-san-diego-pc8aedpavc67) — San Diego, CA - [Software Engineer — Agentic data pipelines](https://feeny.ai/job/software-engineer-agentic-data-pipelines-iambic-therapeutics-inc-united-states-z1afztyyenvn) — United States - [Principal Medical Writer](https://feeny.ai/job/principal-medical-writer-iambic-therapeutics-inc-united-states-p7p8wv9kdmyd) — United States - [Sr Manager, Quality Systems & Compliance](https://feeny.ai/job/sr-manager-quality-systems-compliance-iambic-therapeutics-inc-united-states-vsh166q5vj7e) — United States - [Research Scientist I/II, Bioanalytical Sciences & Assay Development](https://feeny.ai/job/research-scientist-i-ii-bioanalytical-sciences-assay-development-iambic-z1xnw171hxqv) — San Diego, CA - [Machine Learning Scientist — Large Multimodal Models (Post-Training)](https://feeny.ai/job/machine-learning-scientist-large-multimodal-models-post-training-iambic-7rzbhfe24hz9) — United Kingdom - [Machine Learning Scientist — Large Multimodal Models (Post-Training)](https://feeny.ai/job/machine-learning-scientist-large-multimodal-models-post-training-iambic-tq20zrdrpft4) — Boston, MA - [Senior / Executive Director, Analytical Development CMC](https://feeny.ai/job/senior-executive-director-analytical-development-cmc-iambic-therapeutics-inc-xc2n3pav2s88) — United States - [Associate Director / Director, Clinical Pharmacology](https://feeny.ai/job/associate-director-director-clinical-pharmacology-iambic-therapeutics-inc-san-je8hv9zyhrrm) — San Diego, CA