Data Associate

**About us**:
Nomic was founded with a simple but ambitious goal: to make biology easier to measure. We’ve developed **nELISA**, the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning.

Since spinning out of McGill University, we’ve partnered with dozens of top-tier drug discovery groups, including 6 of the top 10 pharma companies, and have profiled over 60 million proteins from more than 400,000 samples to date.

Since closing a $42M Series B round, we recently scaled up the platform to meet rapidly growing demand. You can read more about this on our website here. Our state-of-the-art facility is capable of profiling over 2.5 million samples a year, generating 500 million protein assays.

We’re a diverse team of engineers, scientists, and problem-solvers who thrive on breaking down difficult challenges using first principles thinking, and we leverage the latest scientific and technological breakthroughs to drive our mission forward.

**About the role**:
The Data team at Nomic is responsible for designing, building, operating and improving the data pipelines, data infrastructure, and data tools needed for analyzing nELISA data at scale. Our development roadmap includes building more robust data pipelines for decoding nELISA datasets, and developing improved internal-facing tools that will let our scientists execute faster in the lab by extracting insights from our nELISA profiling and manufacturing QC data on-demand.

**As a Data Associate, you will play a critical, first-hand role in operating the data pipelines and data infrastructure for handling all things nELISA data. In particular**:

- You will primarily be responsible for using our existing software tools to analyze nELISA data, including troubleshooting and improving these tools as needed.
- As such, you will be extracting meaningful insights from all nELISA datasets generated by the team, building data processing tools to help teammates understand nELISA data, and generally helping us to wrangle nELISA data on a daily basis.
- You will also get to analyze or support teammates in analyzing biochemical and molecular data from a range of other bioanalytical assays, such as: spectroscopy, protein purification, antibody conjugation, DNA modification, and fluorescent labeling.
- This role will involve substantial communication, teamwork, and attention to detail, especially when identifying and troubleshooting issues related to nELISA data.
- You will collaborate with your teammates to identify new technical solutions, and clearly communicate analytical results to support decision-making company-wide.

**What we’re looking for**:

- 2+ years of industry experience building or running data pipelines or machine learning pipelines from the ground up for bioscience data, or having developed equivalent technical proficiency in an academic setting.
- 1+ years of experience in software development, preferably full stack or backend.
- Strong Engineering or Applied Sciences background (or a related technical field).
- Familiarity with bayesian statistics, sampling methods, mixed models, and other statistical concepts, and ability to synthesize complex data into clear learnings.
- Understanding of, and ideally first hand experience with analyzing data from, 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, or signal processing.
- Experience working collaboratively on data science problems with wet lab scientists, ideally in a scaling startup.
- Ability to multitask at times, and extremely strong attention to detail when it comes to data quality.
- Excellent communication skills (written, verbal, and in a codebase).
- 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.

**Join us if you**:

- Connect deeply with our mission, ambition and sense of duty. Our mission isn’t marketing flash: we developed our technology to better measure biology and discover biomarkers for early disease detection. We firmly believe we will be successful in literally eradicating certain diseases by enabling them to be diagnosed earlier. We also believe that our hard work to bring this technology to its full potential is our duty.
- Are up for a challenge and want to grow: We are a team of problem-solvers, and we continually put ourselves to the test and go into the unknown. We have a growth mindset, both on hard and soft skills, and we rely on each other to give critical and candid feedback to ensure that we can all reach our full potential.
- Want to be at the cutting-edge