Lead Full-Stack Engineer (VIE)

Société : Consilience

Consilience is a pioneering biotech startup dedicated to revolutionizing the field of multi-omics analyses through innovative software solutions. Our seasoned founding team brings decades of experience in biological data analysis, statistical modeling, venture creation, and SaaS product development. Grounded in our strong scientific expertise in novel statistical and ML approaches, our mission is to leverage the latest technologies to help biotech companies in all industries analyze and derive insights from their omics data.

We operate with a flat organizational structure where every team member is expected to contribute actively. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by the founders.

Description du poste

We are seeking a highly skilled and motivated Full Stack Engineer to join our dynamic team. At Consilience, you will have a unique opportunity to shape and drive our data analysis platform towards its initial commercial launch. The ideal candidate will have a strong background in both front-end and back-end development, with a proven track record of creating scalable, efficient data platforms, and a passion for building user-friendly applications. Reporting to the CEO, this role is an opportunity to play a technical leadership role on a small, ambitious team, and to make critical contributions in developing and maintaining our novel omics data analysis platform. Previous experience with computational biology and bioinformatics workflows is a strong plus, but not required. Your work will directly contribute to advancing our understanding of biological systems and driving innovation in the biotech industry.

Responsibilities:

- Understand our prototype in detail and lead the engineering strategy to get to the launch of our commercial platform.

- Lead the end-to-end engineering execution across infrastructure, data engineering, product engineering, MLOps, web development, and security.

- Implement and orchestrate algorithms and models from an already developed prototype, working closely with data scientists.

- Architect and manage a scalable, secure, and reliable cloud-based infrastructure to support our data analysis platform.

- Write clean, efficient, versioned, and well-documented code. Maintain code quality, organization, and automatization.

- Ensure the performance, quality, and responsiveness of applications.

- Collaborate with cross-functional teams, including data scientists and biologists, to define, design, and ship new features, while ensuring engineering supports the company’s strategic objectives and timelines.

- Develop and integrate data visualization tools to present complex omics data intuitively.

- Identify and correct bottlenecks and fix bugs.

- Define and implement security and disaster recovery policies.

- Stay up-to-date with emerging technologies and industry trends in omics data analysis.

Profil recherché

Technical qualifications:

- 3+ years of engineering experience

- Strong expertise with cloud platforms (AWS, Azure, Google Cloud) and proven experience in building and scaling cloud-based systems

- Experience using Python, R, SQL as a requirement, Javascript, Scala as a plus +++

- Proficiency in front-end technologies such as HTML, CSS, JavaScript, and data visualization frameworks like Shiny, Plotly, D3.js, or equivalent ++

- Expertise in databases (SQL, NoSQL) and data lakehouse technologies (Databricks, Snowflake) is a huge plus ++

- Experience with data visualization libraries such as Shiny, D3.js, Plotly, or similar is strongly preferred. +

- Working knowledge of DevOps, CI/CD, MLOps, and FinOps methodologies and best practices is a plus. +

- Experience with infrastructure as code technologies (Terraform or equivalent) and defining landing zones (RBAC, network, storage, policies, etc.) would be helpful longer-term. +

- Proven experience as a Full Stack Developer or similar role.

- Bachelor’s degree in computer science, engineering, or a related field; advanced degrees are a plus.

Other desired qualifications:

- Self-motivation, bias to action and ability to make quick decisions with little supervision. Previous experience in a startup environment would be ideal.

- Excellent communication and teamwork skills are paramount. You will interface daily with the founders of the company and will meet with customers frequently.

- Familiarity with omics data analysis, including genomics, proteomics, and metabolomics is a strong plus

- Knowledge of machine learning and data science concepts.

- Strong problem-solving skills and attention to detail.

- Passion for biotechnology and a desire to make a positive impact in the field.