Senior Full Stack Engineer
Loyal is developing drugs to extend dog lifespan; we aim to build the defining aging company.
Loyal was founded in early 2020 and has raised over $50M from Khosla Ventures, First Round Capital, Collaborative Fund, Longevity Fund, Quiet Capital, BoxGroup, and more. Loyal is working on bringing to market the first drugs intended to extend lifespan (years of life) and healthspan (quality of life). We aspire to build a pharma brand people love around deeply technical products. While we are currently focusing on dog drugs, our ultimate aim is to take what we learn in dogs to leapfrog into human aging drugs and build a company that catalyzes and captures the public’s excitement around aging therapeutics.
We are seeking a Full Stack Software Engineer to join the Data Science and Engineering team. This is a great opportunity for someone looking to make the transition from more traditional technology companies to working in biotech and aging.
As a Full Stack Software Engineer, you will work across the stack from web interfaces and databases to data pipelines and operations. Our team of data scientists and engineers work together to support two critical areas of our company: scientific research for drug discovery and bringing products and services to the public. On our cross-functional and dynamic team, you will collaborate with other engineers and scientists throughout the company; getting to know the longevity drug pipeline end-to-end. You’ll see your work directly impact the development and deployment of longevity treatments.
The most important tasks you will take on are:
- Work across the tech stack to solve both customer and internal problems
- Develop and support Loyal’s public web properties
- Develop and support internal business applications helping our clinical research teams and improving company operations
- Support new and ongoing research projects by creating and managing data pipelines, databases, and migrations
- Work to improve the operational maturity and health of our engineering and data science teams; grow adoption of good engineering practices across data engineering and data science disciplines
- Work collaboratively with team members from many different professional disciplines in a fast-paced and ever-changing environment
About You:
- Experience working with Python in either in web or systems programming environments
- Experience with React or Next.js
- Experience working with Terraform or some other cloud orchestration tool is preferred
- Exposure to statistical analysis in R or Python
- Passion for data
Requirements
- 5+ years experience working as a software engineer as part of a software team
- Demonstrated experience using JavaScript and CSS to implement responsive designs in frontend web applications
- Demonstrated experience with a major web backend language, including building web backends
- Demonstrated experience with rapid prototyping and iteration to model and support business processes
- Demonstrated experience working with SQL and relational databases
- Strong writing and communication skills
Tech stack:
- On the backend, our web services and data pipelines are implemented in Python and Django
- Our frontend is built in React/Next.js, and hosted on Vercel
- Infrastructure built on AWS, orchestrated with Terraform
- Async GitHub workflow, CI & deployment built on GitHub Actions
- Statistical models for scientific projects are built in either R or Python
Benefits of working at Loyal:
- Full-time position either remote or based in San Francisco, CA, with flexible hybrid work opportunities
- Full coverage platinum health insurance (medical, dental and vision) for you and your dependents
- 401k
- Generous monthly stipend package for wellness, learning, and fitness
- Stipend for home office set-up
- Flexible paid time off & 28 days of whole company holiday per year
- Paw-ternity leave for pet adoption
- Dog-friendly office
- Welcome kit with Loyal swag
The reasonably estimated salary for this role ranges from $140,000-$210,000, plus a competitive equity package, and benefits. At Loyal, compensation is based on factors such as the candidate's skills, qualifications, experience, and location. Oftentimes we consider candidates in various skill ranges to allow for a variety of individuals to be considered for a role.
Research shows that candidates from underserved communities and backgrounds have a significantly lower application rate if they do not meet all the listed criteria. If you believe that you would excel at the Full Stack Engineering role, but do not meet all of our listed requirements, we want to hear from you! Please apply and show us how you can strengthen our team.
Our Values
Lean into moonshots | We do not settle for incremental change. We have the bravery to take risks and shoot for the impact we want to have.
Opportunity is at the intersection | We lean into combining disciplines, expertises, and perspectives not normally adjacent. We design our organization to facilitate cross-pollination and cross-collaboration. We reject silos.
Expertise without ego | Titles do not determine who has a voice. We work on hard, technical problems and have a ton of fun while at it.
Learning by doing | Our path is novel and many things we are doing have never been done before. We lean into MVPs and are open to unexpected outcomes.
Transparency and rejecting paternalism | We value leading with context. We equip people with the context and background necessary to make their own decisions and act in the best interest of Loyal. Empower team to succeed.
Empathy and respect for all life | Our patients are not just numbers. Our work is intentional, thoughtful, and guided by respect for life. We take our responsibility to pets and pet parents seriously.