Lead full-stack engineer

We are hiring a lead engineer to co-own the technical execution of a collaborative, self-service, cloud-based platform that leverages predictive models and complex data to explain drug efficacy and toxicity. Fully remote.

Apply on our website: https://syntensor.com/join-the-team/fullstack-engineer/

Javascript | Typescript | React | Python | CSS | Node | AWS | Graph databases | Relational and non-relational databases | Data Visualization | Product development

Responsibilities

• Lead the engineering of the Syntensor platform, a first-of-its-kind collaborative, self-service platform for improving the efficiency of the drug discovery process
• Prepare our platform to scale; iterate on and improve the platform’s architecture and its associated services and databases
• Develop data visualization approaches for multimodal biomedical data, with a focus on pathway and network visualization
• Own the development of the Syntensor user-facing app, a large React application
• Architect and develop the app backend, presently developed with Node.js on AWS
• Define and build strong foundations to your own high standards - CI/CD processes, devops, monitoring and scaling, and security
• Collaborate closely with the head of product to determine the technical design of new features in the user-facing product
• Work with a small hands-on team - you’ll work with machine learning researchers to shape overall system architecture and integrations with ML systems (Python/Pytorch, Geometric Deep Learning)
• Make fundamental business impact - you will take an active role in shaping our product, creating a strong engineering culture and building a highly skilled and focused team
• 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 Seattle, NY, Vermont, and Manchester
• Take on a grand challenge and share our purposeful mission - we’re building a biological systems simulator that will transform how medicines are developed - you will be making it accessible and powerful for scientists and doctors, with a big downstream impact on the wellbeing of millions of patients

Qualifications

• Deep knowledge of Javascript and Typescript
• Extensive experience developing large React applications
• Experience designing and building reliable REST APIs
• Experience with modern JS tooling and build systems
• Working knowledge of authentication, authorization and related security practices
• Experience designing data schemas and managing relation and non-relational databases (we use MySQL and ElasticSearch)
• Working knowledge of Python for data processing and API development
• Good knowledge of CSS and responsive design (we use CSS modules)
• Experience architecting and maintaining cloud infrastructure (we use AWS)
• Experience with Git, Docker and CI/CD pipelines
• Experience with asynchronous work within a remote team across multiple time zones
• Ability to self-manage in a small team environment
• English fluency, verbal and written

Nice to haves:

• Familiarity with machine learning concepts and applications
• Knowledge of data visualization libraries such as D3.js or Chart.js
• Experience with unit and E2E testing (we use Cypress)
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Experience architecturing large cloud-based systems using microservices and serveless paradigm
• Experience designing pipelines and storage solutions for ML-driven systems with large volume of complex data
• Experience managing infrastructure using code-as-infrastructure paradigm - we use AWS CDK
• Experience with integration of 3rd party corporate systems or experience with work in regulated corporate settings (e.g. healthcare or finance)
• Experience interfacing with ML systems (ours is Python/Pytorch)
• Experience developing highly interactive visualizations of complex data
• Good eye for UI and knowledge best of UX principles
• Experience with Figma
• Experience with biomedical data and bioinformatics
• Experience managing and growing engineering teams
• Experience with WebGPU