Full-Time

Scientific Software Engineer

Confirmed live in the last 24 hours

Ganymede

Ganymede

51-200 employees

Cloud platform for scientific data management

Data & Analytics
AI & Machine Learning
Biotechnology
Healthcare

Compensation Overview

$120k - $180kAnnually

Junior, Mid

No H1B Sponsorship

San Francisco, CA, USA + 1 more

More locations: Remote in USA

Remote-first role with periodic reimbursed travel for team meetings.

Category
Backend Engineering
Embedded Engineering
Software Engineering
Required Skills
Python
Julia
Requirements
  • At least 2 years of full-time experience developing software or writing analytical code
  • Excellent collaboration skills in both written and verbal forms, as well as via clear, cleanly written code
  • Strong engineering background, preferably in computer science, physics, or engineering discipline
  • Proficiency with analytical programming languages (e.g. - scientific Python, Mathematica, Julia, etc.)
  • Hunger, curiosity, and motivation to learn about and solve data problems for clients with the rest of the Ganymede team
  • Desire to improve software infrastructure for scientists advancing the health and welfare of people
  • Located in, and authorized to work from, the United States; Bay Area preferred
  • Availability for approx. 10-15% travel, concentrated in the US West
Responsibilities
  • Own implementation by working with client executives and users to define and prioritize problems, building a deep understanding of their lab instruments and scientific analysis, and then setting up Ganymede’s platform pipelines to automate these details
  • Collaborate with fellow engineers to define the architecture needed for the Ganymede core platform, integrate our web backend and infra into client systems, and develop applications to interact with biotech lab instrument hardware
  • Be a key determinant of our culture, and will help us grow and set norms for the business as we scale

Ganymede.bio offers a cloud-based platform that connects scientific data and lab instruments to streamline data management for scientists. By automating data handling through its Lab-as-Code technology, the platform saves scientists up to 20% of their time by eliminating manual data entry. Ganymede ensures that all data is FAIR (Findable, Accessible, Interoperable, and Reusable) and provides advanced compliance features for full data flow reproducibility. The company's goal is to modernize laboratory data management systems, allowing scientists to focus more on their research.

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Palo Alto, California

Founded

2022

Growth & Insights
Headcount

6 month growth

31%

1 year growth

17%

2 year growth

260%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for low-code platforms in biotech streamlines operations and reduces costs.
  • Partnerships with Elemental Machines and Kytopen enhance data connectivity and integration.
  • Rising adoption of cloud solutions in life sciences boosts scalable data management.

What critics are saying

  • Competition from established biotech software players like Benchling and LabWare is increasing.
  • Rapid AI advancements may outpace Ganymede's current capabilities, requiring continuous R&D investment.
  • Data privacy concerns and regulatory scrutiny could arise with expanded data integration services.

What makes Ganymede unique

  • Ganymede offers a low-code bio-aware PaaS for biotech software engineering.
  • Their Lab-as-Code technology automates data management, saving scientists up to 20% time.
  • Ganymede ensures data is FAIR, enhancing findability, accessibility, interoperability, and reusability.

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Benefits

Remote-first role

Periodic reimbursed travel for the team to meet together

Significant equity as an early employee

Unlimited PTO & sick days

Excellent health benefits (medical, dental & vision), life, and disability insurance

Family leave (maternity, paternity, medical, caregiver)