Description:

Nomic is focused on making biology easier to measure through its nELISA platform, which is the highest throughput proteomic platform available.
The company has partnered with top-tier drug discovery groups and has profiled over 60 million proteins from more than 400,000 samples.
The Data team is responsible for designing, building, operating, and improving data pipelines, infrastructure, and tools for analyzing nELISA data at scale.
The role involves building robust data pipelines, developing internal tools for scientists, and improving data processing algorithms.
Daily responsibilities include designing and automating data pipelines for processing flow cytometry data, interpreting nELISA experimental data, and developing new data analysis pipelines.
The position requires substantial communication and teamwork, especially in troubleshooting nELISA data issues.

Requirements:

A graduate degree or equivalent experience in bioengineering or a related quantitative field, focusing on biosensors or quantitative fluorescence data is required.
At least 3 years of experience in analyzing bioscience data and developing data processing algorithms is necessary.
A minimum of 2 years of software engineering experience is required, with comfort in creating tools for non-programmers and collaborating with data and software engineers.
Strong statistical skills, including knowledge of Bayesian statistics and sampling methods, are essential.
Experience working collaboratively with wet lab scientists in a fast-paced environment is preferred.
Nice to have: Understanding of life science tools and technologies, particularly in immunoassays and DNA biosensor designs.
Excellent communication skills and independent problem-solving abilities are required.
Fluency in English is mandatory due to interactions with customers and team members in the USA.

Opportunity to work at the cutting edge of biotechnology and contribute to innovative solutions in proteomics.
A collaborative and diverse team environment where ideas are valued and critical feedback is encouraged.
The chance to make a meaningful impact in the world by improving early disease detection through advanced data analysis.
A growth-oriented culture that emphasizes personal and professional development in both technical and soft skills.

Skills