Syntensor

Syntensor is looking for a senior dev to build and ship models for clinical trial outcome prediction.

Join a team of world-leading experts in this domain and help drive the field forward as we tackle a problem space only recently made tractable by advances in ML and HPC.

The role

• Model: Design, selection, training and evaluation of models with many features combining data modalities such as molecular structure, chemical properties, literature embeddings etc. Traditional ML stack for predicting clinical trials outcomes.
• Deploy: Write production ready code and deploy models in the cloud (AWS). Improve productionisation and deployment pipeline of our existing models.
• Lead and ship: Plan roadmaps, slice projects, track risks, and deliver to deadlines.
• Collaborate with the product team to support the development of new downstream uses for the model with a focus on use cases in the financial and drug discovery sectors.
• Competitive compensation - A starting salary in the top quartile for role and level, based on local benchmarks
• Stock options - you are joining an early-stage startup we want you to have ‘skin in the game’ and your options package will reflect this
• Self-manage - we are a distributed-first company, working from home and collaborating asynchronously from NY, Vermont, and the United Kingdom

What you’ll bring (must‑haves)

• Passing experience with biology. Comfortable collaborating with biologists; able to reason about common data types (e.g., sequences, assays, literature corpora, clinical trials, ontologies), terminology, and basic experimental constraints.
• End-to-end machine learning experience: Skills spanning the full model lifecycle, including data wrangling, feature engineering, model design, training and evaluation, and deployment to production environments.
• Shipping & leadership. Demonstrated history of shipping, managing projects to deadlines, and building to production quality.
• Python, PyTorch, core ML libraries, MLOps/experiment tracking, Docker, GitHub Actions, AWS/SageMaker etc

Nice to have

• Interpretability/Uncertainty Quantification
• Experience with regulated/health data pipelines (privacy, de‑identification, HIPAA/GDPR).
• Familiarity with agentic workflows.

About us

Our mission

We are on a mission to provide access to more effective medicines for millions of patients. We’re building models to predict clinical trial outcomes and individual drug response.

The team

We are a small team of people with diverse skills and a shared bias towards problem solving and execution. We are inventors and builders who believe in the scientific method; feedback and iteration is essential to our process and we share our work early and often. That said, we aim high. Our mission and the domain in which we operate demand that we take on some of the hardest problems researchers, scientists, engineers and designers face, and we are determined to build technology that solves them properly and usefully for users of our platform. We are looking for talented people who are motivated by the challenge of hard problems and who are already curious about the technological, scientific or cultural domains with which we engage.

We are a distributed-first team and very relaxed about where and when work happens, but come together as a whole team weekly to sync-up. We work with intrinsic curiosity and motivation towards well defined goals (even where there are unknown unknowns). Our diversity, great communication and respectful, supportive teamwork make us highly effective.