Machine Learning Scientist – Clinical Prediction
Iambic Therapeutics is hiring a Machine Learning Scientist – Clinical Prediction for a remote role open to applicants in United States. It pays $148k-$186k a year and Level rates it ; you can apply on Iambic Therapeutics.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Weights And Biases, Python and PyTorch among its tools and skills.
- Level classes it as a senior role.
- Iambic Therapeutics has 29 other open roles on Level.
AI in this role
Fine-tune large-scale multimodal transformer models for clinical prediction and biomedical applications in drug discovery.
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 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.
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.
How we rate this
Machine Learning Scientist – Clinical Prediction at Iambic Therapeutics rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where clinical prediction was part of your work. What did you do?
- Walk me through how you've used Weights And Biases in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Machine learning, Deep learning, Clinical Prediction, and Weights And Biases. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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