Data Associate
Montreal ,Canada
Full Time
2 hours ago
Mid LevelWorldwide
$40K - $80K

USD per year

Job Description

Nomic Bio

Nomic is doing for proteins what Illumina has done for DNA

Data Associate

•Remote (United States) / Remote (US) Job type Full-time Role Operations Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › Milad Dagher Founder

About the role

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 nanoarchitectureand design ,separation-based techniquesfor biological samplesand compounds ,biophysics / fluorescence / FRET ,or signal processing .
  • Experience working collaboratively on data science problems with wet lab scientists ,ideally ina scaling startup .
  • Abilityto multitaskat times ,and extremely strong attentionto detail when it comes todat quality .
  • Excellent communication skills (written ,verbal ,and ina codebase ).

Join us if you:

  • Connect deeply with our mission ,ambitionand senseof duty .Our mission isn’t marketing flash :we developed our technologyto better measure biologyand discover biomarkersfor early disease detection .We firmly believewe will be successfulin literally eradicating certain diseasesby enabling themto be diagnosed earlier .We also believethat our hard workto bring this technologyto its full potentialis our duty .
  • Are up fora challengeand wanttogrow :We area teamof problem-solvers,and we continually putourselvestothe testand go into the unknown .We havea growth mindset,bothon hardand soft skills,and we relyoneach otherto give criticaland candid feedbackto ensurethat we canall reachour full potential .
  • Wanttobe atthe cutting-edgeof biotechnology.The nELISA isa new toolthat leverages DNA nanotechnologyto generate proteomic datamore efficiently than ever before .You getto buildand runthe datapipelines thatwill supportthe scalingof this technologygoing forward .
  • Love analyzing biologicaldataand writing code,and wantto learnhow tomake improvements ina datapipelinefrom afull-stack perspective .
  • Prefer workingand communicating within adiverse cross-functional team.You would getto interfacewith teammatesfromthe R&D ,Engineering ,Operations,and Commercial teams ona daily basis ,joininga collaborative ,diverse,and inclusive teamwhere your ideaswill be valued.
  • Wantthe responsibilityof addressingsomeofour hardest problems.Data isoneofour core competencies,and researchingand developing improvementstothe waywe analyzedatahas acompounding benefiton all other aspectsofour companyandour customers ,most notablythescientistsusing thenELISAandpatientsthatwill ultimately benefitfrom nELISAdata.

If you are passionateabout analyzingdataon adaily basis,wanttodrive innovationinproteomics,and are eagertomakeameaningful impactin the world,we inviteyouto applyand joinusonour journeytoredefineproteomicsandtheunderstandingofbiology.

About Nomic Bio

Nomic is doing for protein profiling what Illumina did for DNA sequencing.Our core technology,the nELISA,is anext-gen immunoassay platformthat transforms ELISA into ahigh-throughput ,high-content ,and high-versatility tool. Today wedeveloped thenELISAfor high-throughput drug discovery scientists,enabling them profile100sof proteins at10x higher throughputand10x lower costcomparedto existing solutions.We're offering thenELISA through early access programs tothe HTS groups intop pharmas as well aspioneering biotechs inthe space. Our goalis toc reatea ubiquitous technologythat consolidates broad rangeof legacy immunoassay toolkits scientists use todaywith asingle platformthat can carry thescience end-to-end ,from discovery allthe way tothe clinic. We're ateamof engineers ,biologists ,and highly-skilled lab operators looking togrow quicklytokeepupwith customer demand but alsoto continue developingour core technology ,scaleour multiplexing/throughput ,and buildour software stack.We're hiringon anumberof positions including engineering ,software ,biology ,and ops.Come talktous! Nomic Bio Founded:2017 Batch:W20 Team Size:24 Status:Active Location:Montreal ,Canada

How to Apply