**About us:**
Nomic was founded with the purpose of making biology easier to measure. To do this, we have untangled some of the most difficult problems in protein profiling. Our team is combining DNA nanotechnology, high-dimensional flow cytometry, laboratory automation, and machine learning to develop the world’s highest throughput proteomic platform: the nELISA.
Since spinning out of McGill University, we have partnered with and provided platform access to dozens of drug discovery groups including GSK, 4 of the top 10 pharmas, and leading biotechs. We have recently launched a state of the art manufacturing and protein profiling facility that enables multiplexed measurement of \>2.5M samples a year, generating an effective 500M protein assays in the process.
We are building a diverse team of engineers, scientists, and world-changers. We like to break down difficult problems using a first principles approach, often leveraging the latest breakthroughs from across the scientific and technological spectrum to drive our mission forward.
Nomic is headquartered in Montreal, Canada with a satellite research lab in Boston, Massachusetts. The majority of our team is based in Montreal and works in a new, shared office/laboratory space with an in-person, but flexible work-from-home, policy.
**About the role:**
Our Data team’s mission is to build, operate and maintain the data infrastructure and data pipelines needed for analyzing nELISA data at scale. Strong fundamentals in data science and data engineering is key to our vision of the future, and every aspect of our company today is geared towards generating more useful proteomic data. In the lab we are scaling the nELISA to generate higher plex and lower cost proteomic data points, and outside the lab we help our users to best leverage nELISA data for their biological research.
Our data roadmap includes building robust pipelines for decoding nELISA datasets, generating advanced and application-specific bioinformatic pipelines to help customers understand their unique datasets, developing improved internal-facing tools that will let us 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 and improving 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).
**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 of biotechnology. The nELISA is a new tool that leverages DNA nanotechnology to generate proteomic data more efficiently than ever before. You get to build and run the data pipelines that will support the scaling of this technology going forward.
- Love analyzing biological data and writing code, and want to learn how to make improvements in a data pipeline from a full-stack perspective.
- Prefer working and communicating within a diverse cross-functional team. You would get to interface with teammates from the R&D, Engineering, Operations, and Commercial teams on a daily basis, joining a collaborative, diverse, and inclusive team where your ideas will be valued.
- Want the responsibility of addressing some of our hardest problems. Data is one of our core competencies, and researching and developing improvements to the way we analyze data has a compounding benefit on all other aspects of our company and our customers, most notably the scientists using the nELISA and patients that will ultimately benefit from nELISA data.
If you are passionate about analyzing data on a daily basis, want to drive innovation in proteomics, and are eager to make a meaningful impact in the world, we invite you to apply and join us on our journey to redefine proteomics and the understanding of biology.
Visa sponsorship is not available for this role.
