Lab Instrument Data Integration Engineer (Python)

Uncountable; San Francisco, New York (CA, NY); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity

Health and dental insurance

401(k) with employer contribution

Direct mentorship and fast career growth

Job summary

Uncountable is looking for a scientifically-minded software engineer to join its Implementations Engineering team in San Francisco. This hybrid role combines software development with scientific expertise, enabling the engineer to create production-grade software that connects the Uncountable platform to various lab instruments and workflows.

The successful candidate will be responsible for building data integrations and designing automated data pipelines, directly impacting research workflows. A competitive salary, equity options, and mentorship are part of the benefits package.

Qualifications

• Completion of relevant coursework or professional experience equivalent to 4 university-level CS courses.
• Meaningful knowledge of chemistry, materials science, or biology.
• Genuine curiosity about software engineering.

Responsibilities

• Build data integrations that ingest outputs from lab instruments.
• Design and implement automated data transfer pipelines to Uncountable.
• Write Python scripts to parse and validate scientific data files.

Skills

Python

Data processing

Problem-solving mindset

Scientific knowledge

Education

B.S. in Computer Science, Engineering, or related field

Tools

APIs (REST)

SQL databases

Excel/CSV data pipelines

Job description

Uncountable is looking for a scientifically-minded software engineer to join its Implementations Engineering team in San Francisco. This hybrid role combines software development with scientific expertise, enabling the engineer to create production-grade software that connects the Uncountable platform to various lab instruments and workflows.

The successful candidate will be responsible for building data integrations and designing automated data pipelines, directly impacting research workflows. A competitive salary, equity options, and mentorship are part of the benefits package.