Jobs at Platform Science

Positions 711,216

Platform Science builds a cloud platform that lets researchers publish, share, and reproduce code, data, and results. The company has become a key player in the open-science movement, partnering with universities, pharmaceutical companies, and government labs to streamline reproducible research workflows.

Hiring focuses on software engineers (frontend, backend, full-stack), data scientists, ML engineers, product managers, UX designers, and QA/DevOps specialists. Candidates can expect rigorous coding challenges, collaborative pair-programming, and the chance to influence product roadmaps that support millions of research projects.

By checking Platform Science listings on Job Transparency, you gain real salary benchmarks, employee sentiment scores, and interview tips that reduce guesswork. The platform’s data helps you negotiate confidently and match roles to your career goals.

No open positions at Platform Science right now.

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Frequently Asked Questions

What is it like to work at Platform Science?
Platform Science fosters a culture that prizes reproducibility, transparency, and continuous learning. Employees enjoy flexible remote options, regular hackathons that focus on open-science challenges, and a flat hierarchy that encourages cross-team collaboration. Compensation includes competitive base salaries, equity, and a generous benefits package that covers health, dental, and vision. The team actively publishes research and code on the platform, giving staff a chance to see their work cited in academic papers.
What types of positions are available at Platform Science?
Platform Science hires across the tech stack: backend, frontend, and full-stack engineers; data scientists and ML engineers; product managers; UX/UI designers; quality assurance; DevOps and site reliability engineers; technical writers; and customer success specialists. Roles range from junior to senior levels, with clear career ladders and mentorship programs.
How can I stand out as an applicant for Platform Science?
Showcase reproducibility skills by sharing a GitHub project that includes data, code, and a Jupyter notebook that reproduces a published study. Highlight experience with cloud services (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Emphasize collaboration by providing examples of cross-functional projects or open-source contributions. Finally, tailor your cover letter to explain how you can help Platform Science scale reproducible workflows for research partners.

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