Posted today · be early
Senior Software Engineer — GeneEase
Jouster
WorldwideremotePosted today
Skill Required
Full-Stack-EngineerFull-Stack-DeveloperSoftware-EngineerBackend-EngineerFrontend-EngineerSenior-Bioinformatics-Software-EngineerSenior-Bioinformatics-EngineerSenior-Healthcare-Software-EngineerSenior-Software-DeveloperSoftware EngineerSoftware Developersoftware engineeringEngineeringsimilar)buildingdesignCloudAPIsAWSGCPandAIMachine LearningFulltime
Key highlights
- 5+ years of software engineering experience required.
- Senior Full‑Stack Software Engineer role at a stealth‑mode biotech startup.
- Fully remote, async‑friendly work setup.
- Experience with ML/AI model integration is a must‑have.
- Opportunity to shape both technology and culture in an early‑stage company.
- Work with genomic data formats and AI‑driven diagnostics.
Role overview
GeneEase is a stealth-mode biotech startup building next-generation gene therapy solutions for subclinical health issues — beginning with overlooked and under-researched autoimmune responses, such as alcohol intolerance and other subtle immune dysregulations. We’re seeking a Senior Full-Stack Software Engineer to help us build our first product — a data-driven diagnostic and personalization platform that leverages AI and genetic data.
Responsibilities
- Build core components of GeneEase’s diagnostic platform — from backend data pipelines to clean, usable frontends.
- Design and implement services that support genomic data ingestion, AI-driven insights, and personalized treatment recommendations.
- Collaborate closely with the Product Manager and fellow engineers to iterate quickly on prototypes and MVP features.
- Work hands-on with ML engineers to integrate models into the product stack.
- Contribute to architectural decisions that balance speed, reliability, and scalability.
- Help build cloud infrastructure (e.g., AWS, GCP, or similar) to support development and deployment of AI-powered features.
- Create and maintain APIs and internal tools that support both user-facing and data-science workflows.
Requirements
- 5+ years of software engineering experience, ideally in fast-paced or startup environments.
- Full-stack experience across backend, frontend, and cloud (exact stack is flexible).
- Experience with ML/AI model integration — working alongside data scientists or ML engineers.
- Strong background in APIs, data pipelines, and cloud infrastructure.
- Ability to take ownership of complex problems and turn them into clean, maintainable systems.
- Excitement about working in early-stage environments with high autonomy and ambiguity.
Nice to have
- Prior experience working in health tech, bioinformatics, or diagnostics.
- Familiarity with genomics data formats (e.g., FASTA, VCF) or cloud-based ML workflows.
- Experience building products from zero-to-one — including greenfield architecture.
Benefits
- Fully remote, async‑friendly, and highly collaborative work environment.
- Opportunity to help launch a first‑of‑its‑kind diagnostic platform at the intersection of AI and gene therapy.
- Work closely with a world‑class early team on meaningful, deeply technical challenges.
- Fast‑moving, product‑first culture that values speed, integrity, and scientific rigor.
Additional details
- GeneEase is a stealth‑mode biotech startup building next‑generation gene therapy solutions for subclinical health issues — beginning with overlooked and under‑researched autoimmune responses, such as alcohol intolerance and other subtle immune dysregulations.
- The company believes that personalized, precision medicine powered by AI can unlock treatments for millions who fall through the cracks of traditional diagnostics.
- Originally posted on Himalayas.
