Software Engineer

February 15

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Logo of Nomic Bio

Nomic Bio

Nomic (formerly nplex biosciences) is a bioengineering company working to make the human proteome as broadly and easily accessible as the human genome. We are building the nELISA, a next-generation ELISA platform for measuring proteins at scale and at high throughput. The nELISA was designed to seamlessly integrate into current workflows in biology and is uniquely adaptable to a wide variety of use cases within drug and biomarker development workflows. Nomic is headquartered in Montreal, with labs and offices in Boston. For more information, visit www.nomic.bio.

11 - 50 employees

๐Ÿ“‹ Description

โ€ข Nomic was founded with the purpose of making biology easier to measure. โ€ข Our team is combining DNA nanotechnology, high-dimensional flow cytometry, laboratory automation, and machine learning to develop the worldโ€™s highest throughput proteomic platform: the nELISA. โ€ข Our Software teamโ€™s mission is to design, build, and support world class software that empowers all nELISA users, โ€ข As a Software Engineer, you will be responsible for building all core components of the nELISA software stack, and scaling them as needed. โ€ข You will get to build internal tools that create and support data-driven feedback loops for our teammates in R&D, automation, manufacturing, customer success, and bioinformatics. โ€ข You will play a critical, first-hand role in developing core improvements to the LIMS, web portal, and data infrastructure for handling all things nELISA data. โ€ข This role will involve substantial communication and teamwork not just within our software engineering team at Nomic, but also with the broader range of internal users of the LIMS, data portal, and data pipeline software, including customers at times.

๐ŸŽฏ Requirements

โ€ข 4+ years of full stack software engineering experience. โ€ข 2+ years experience writing code in the biotech and/or life sciences industry. โ€ข Technical skills in one of algorithm development, signal processing, image analysis, computational biology and/or bioinformatics. โ€ข Experience developing new data analysis pipelines and algorithms for biochemical assays (or similar), such as ELISA, flow cytometry, mass spec, and/or NGS. โ€ข Bachelors or Masters degree in engineering or computer science (or related field), or equivalent industry experience. โ€ข Experience working in Python as part of a small software team, ability to rapidly prototype and code modular software to improve and extend an existing codebase. โ€ข Experience developing at least one of the following: Built extensions on an existing LIMS in close collaboration with scientists as your end-users (e.g. Benchling), written software that interfaces with lab equipment (such as liquid handers or cytometers), and/or established high performance data pipelines and data stores for biological data that support user workflows (data lakes, viz layers, etc). โ€ข Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver. โ€ข Fluency in English is required as our customers and vendors are primarily located in the USA. In addition, this position will interact with our team members within our USA entity.

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