Data Engineer, Nomic Bio
Protein profiling company
Job no longer available
Protein profiling company
21-100 employees
Job no longer available
21-100 employees
Company mission
Their mission is to empower scientists to increase the scope and scale of their experiments.
Role
Who you are
- 4+ years of industry experience building data pipelines or machine learning pipelines from the ground up for bioscience data, or having developed equivalent technical proficiency in an academic setting
- 2+ years software engineering/development experience
- Strong Engineering or Applied Sciences background (or a related technical field)
- Statistical skills including bayesian statistics, sampling methods, mixed models, and other statistical concepts
- Proficient in the fundamentals of modern biotechnology tools and their associated methods, in particular in at least one of: sequencing, immunoassays, nucleic acid amplification, DNA nanoarchitecture and design, separation-based techniques for biological samples and compounds, biophysics / fluorescence / FRET, and signal processing
- Working knowledge of surface chemistry, sandwich immunoassays and related lab techniques such as ELISA, protein expression/purification, SDS-PAGE/western blot, cell culture, cytometry, bead-based assays, and microscopy, and proteomic tools and methods, e.g. mass spectrometry, immunoassays, and/or separation-based techniques
- Experience working collaboratively on data science problems with wet lab scientists, ideally in a scaling startup
- Excellent communication skills (written, verbal, and in a codebase)
- Experience interfacing with a Laboratory Information Management System (LIMS) and/or quality control (QC) and Quality Management System (QMS)
What the job involves
- As a Data Engineer, you will play a critical, first-hand role in developing core improvements to the data pipelines and data infrastructure for handling all things nELISA data
- You will primarily be responsible for designing, building, iteratively improving, automating, deploying and scaling our data pipelines for processing flow cytometry data into quantitative protein measurements. This will be done in close collaboration with your Data Engineering and Software Engineering teammates
- You will support or lead the design and implementation of our data platform architecture, including data lakes and related infrastructure, and build and maintain data pipelines to extract, transform, and load (ETL) data from various sources into the data storage systems, ensuring data quality, reliability, and scalability
- You will also support R&D and Lab Operations teams through developing additional data support features and applications - i.e. the internal tooling needed to support the growth of Nomic going forward. This will include any new data analysis pipelines to analyze nELISA data, including QC data from our daily manufacturing and profiling operations
- This role will involve substantial communication, teamwork, and attention to detail, especially when identifying and troubleshooting issues related to nELISA data and ensuring we build the right tools, and the right abstractions, for our teammates and for customers
- When tooling does not yet exist, you will be responsible for analyzing nELISA data using our suite of decoding and analysis tools, as well as leveraging your technical and bioscience domain expertise to develop new data analysis pipelines when needed
- You will be relied on to support the R&D and Lab Operations teams with guidance on experimental design and analysis when needed
Our take
For bioscientists, quantifying multiple proteins at the same time is expensive and time-consuming. Nomic solves this problem with its proteomic platform, nELISA.
First launched as nplex biosciences, Nomic has since rebranded, fueled by an impressive $17 million in funding. This has allowed the company to accelerate its research considerably. Nomic works with a range of top-tier pharma companies and research institutes, which is testament to the demand for their product.
Nomic will need to continue to draw top talent to their ranks, and to attract even more funding, if they are to research and roll out their product effectively.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Sep 2024
$42m
SERIES B
Dec 2021
$17m
SERIES A
Total funding: $60.2m
Company HQ
Milton Park, Montreal, QC
Leadership
Milad Dagher
(CEO)Holds a PhD in Biological and Biomedical Engineering from McGill.
Jeff Munzar
(Head of Technology)Was previously CEO & Co-founder of Fetch Biosciences.
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