Full-Time

Scientific Software Engineer

Confirmed live in the last 24 hours

Ganymede

Ganymede

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology
Healthcare

Compensation Overview

$120k - $180kAnnually

Junior, Mid

San Francisco, CA, USA + 1 more

More locations: Remote in USA

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

Category
Backend Engineering
Full-Stack 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 provides a cloud-based platform that focuses on managing scientific data and connecting laboratory instruments. The platform helps scientists save time by automating data management, allowing them to focus more on their research. It integrates various lab instruments and applications into a single data layer, which reduces the need for manual data entry and file management. Ganymede's unique Lab-as-Code technology enables this automation, producing compliant data suitable for artificial intelligence and machine learning applications. Unlike its competitors, Ganymede's platform can connect to any instrument or application, transforming data into a cloud-based format that is ready for analysis. The goal of Ganymede is to modernize data management systems in the scientific and research industry, ensuring that all data is FAIR (Findable, Accessible, Interoperable, and Reusable) and compliant with data regulations.

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Palo Alto, California

Founded

2022

Growth & Insights
Headcount

6 month growth

28%

1 year growth

14%

2 year growth

315%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $12.75 million Series A funding round led by Caffeinated Capital indicates strong investor confidence and provides resources for further growth and innovation.
  • Partnerships with companies like Elemental Machines and Kytopen enhance Ganymede's platform capabilities and market reach, making it a more attractive workplace for potential employees.
  • Ganymede's platform can save scientists up to 20% of their time by automating data tasks, which can lead to higher job satisfaction and productivity.

What critics are saying

  • The niche focus on life sciences and manufacturing could limit market opportunities compared to more versatile data management platforms.
  • Rapid growth and recent funding may lead to scaling challenges, including maintaining platform stability and customer support quality.

What makes Ganymede unique

  • Ganymede's Lab-as-Code technology offers a unique, low-code solution for real-time lab instrument and software integration, setting it apart from traditional data management systems.
  • The platform's ability to ensure FAIR data principles (Findable, Accessible, Interoperable, and Reusable) provides a significant advantage in scientific data management.
  • Ganymede's focus on the life sciences and manufacturing industries allows it to tailor its solutions specifically to the needs of these sectors, unlike more generalized data management platforms.

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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)