{"schemaVersion":"jobsearcher.job.v1","id":"ec0cc441d29bc10e1d69faeb","url":"https://jobsearcher.com/jobs/ec0cc441d29bc10e1d69faeb","canonicalUrl":"https://jobsearcher.com/jobs/ec0cc441d29bc10e1d69faeb","title":"Bioinformatics Data Engineer","description":"Bioinformatics Data Engineer\n\nLove taking raw scientific data and turning it into something researchers can trust and use? Come work with a team shaping lab, research, and genomics data for life sciences startups, CROs, and instrument developers doing work that matters.\n\nAbout Yahara:\n\nWe help scientific organizations solve hard problems and move their industries forward, from life sciences startups and CROs to the teams building lab software and scientific instruments. It's work we're proud of, and we're excited about the successes still ahead.\n\nJoin a team recognized as one of Madison Magazine's Best Places to Work, where innovation thrives and collaboration drives success. We don't just build software. We empower people and transform industries.\n\nImportant Notes about this Position:\n\nThis is a hybrid position based out of our office in Madison, WI.\nWe are unable to provide sponsorship.\n\nThe Opportunity:\n\nYou'll work on client projects where the data is the hard part: messy, high-volume, and scientifically complex. You'll clean it, structure it, and analyze it so scientists get answers faster. You'll set technical direction, grow the engineers around you, and be the person clients call when their data isn't telling them anything yet.\n\nOur Approach:\n\nWe build on strong engineering fundamentals: solid methodology, rigorous testing, and sound architecture. We use AI tools like Claude and Codex where they speed up delivery, while keeping critical thinking and engineering discipline at the center. We own the quality, accuracy, and understanding of the code we ship.\n\nWhat You’ll Do:\n\nTurn raw lab, research, and genomics data into clean, analysis-ready datasets.\nDesign data models that make scientific data easy to query and reuse.\nBuild repeatable pipelines so analysis doesn’t start from scratch every time.\nApply statistical methods and exploratory analysis to find what the data is saying.\nCreate visualizations that help researchers see results at a glance.\nBuild data quality checks that catch problems before they reach a result.\nPartner with scientists to understand the biology behind the data.\nOwn technical delivery for your project team: quality, pace, and direction.\nMentor the engineers on your team through code reviews and one-on-one problem solving.\nHelp engineers work through hard problems instead of solving them for them.\nPresent results, tradeoffs, and risks to clients in plain language.\nJoin pre-sales conversations with solution outlines and rough estimates.\nDocument key decisions in ADRs so the next team knows why, not just what.\n\nWhat You’ll Bring:\n\nExperience:\n\n6+ years in data science, data engineering, or software engineering.\nHands-on experience wrangling large, messy datasets into usable form.\nA working knowledge of statistics and exploratory data analysis.\nTime leading technical work for a team, formally or informally.\n\nMindset:\n\nReal curiosity about the science behind the data.\nRigor about data quality, reproducibility, and traceability.\nGenuine interest in helping other engineers grow.\nAbility to explain findings to scientists and non-technical stakeholders alike.\n\nNice to Have:\n\nExperience with lab, research, genomics, or bioinformatics data.\nFamiliarity with LIMS, ELNs, or instrument data.\nWork in regulated environments (HIPAA, FDA, GxP, 21 CFR Part 11).\nMachine learning applied to scientific data.\nConsulting or client-facing project experience.\n\nTech Like What You’ll Use (examples, not requirements; we’re stack agnostic):\n\nPython (pandas, NumPy, SciPy) and/or R\nNotebooks like Jupyter\nWorkflow tools like Nextflow, Snakemake, and Airflow\nRelational and analytical databases (Postgres, SQL Server, Databricks, or similar)\nVisualization tools like Plotly, ggplot2, or Power BI\nCloud platforms: Microsoft Azure and Amazon Web Services\n\nCompany Benefits & Perks\n\n20+ days of PTO accruable in the first year!\nComprehensive health insurance (Medical, Dental, Vision) with HMO and PPO options\nHealth Savings Account (HSA) with annual employer contributions\n401(k) with guaranteed company match (Traditional and Roth options)\n100% company-paid short-term and long-term disability\n100% company-paid life insurance with option to increase coverage\n100% company-paid identity theft protection\nOn-site gym with basketball court\nHybrid/remote schedule with home office stipend\nFresh fruit, healthy snacks, and beverages provided daily\nBonus certification program (Microsoft, AWS, PMP, IIBA, etc.)\nEmployee Assistance Program (counseling, legal, financial services)\nMonthly and Quarterly Recognition Awards with spot bonuses\nCompany-supported community outreach and volunteer opportunities\nEmployee-run committee involvement opportunities\nCollaborative culture founded on realized values and incredible people\n\nIf you need an accommodation as part of the employment process, please contact Human Resources via email at hradmin@yaharasoftware.com\n\nYahara Software LLC is an Equal Employment Opportunity/Affirmative Action Employer.\n\nThis is a full-time, salaried position with competitive salary and benefits. Candidates must be eligible to work in the U.S. on a permanent basis and can work on-site in our office located in Madison, Wisconsin.","company":"Yaharasoftware","rawCompany":"yaharasoftware","city":"Madison","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-10-02T12:54:42.795Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Bioinformatics Data Engineer","description":"Bioinformatics Data Engineer\n\nLove taking raw scientific data and turning it into something researchers can trust and use? Come work with a team shaping lab, research, and genomics data for life sciences startups, CROs, and instrument developers doing work that matters.\n\nAbout Yahara:\n\nWe help scientific organizations solve hard problems and move their industries forward, from life sciences startups and CROs to the teams building lab software and scientific instruments. It's work we're proud of, and we're excited about the successes still ahead.\n\nJoin a team recognized as one of Madison Magazine's Best Places to Work, where innovation thrives and collaboration drives success. We don't just build software. We empower people and transform industries.\n\nImportant Notes about this Position:\n\nThis is a hybrid position based out of our office in Madison, WI.\nWe are unable to provide sponsorship.\n\nThe Opportunity:\n\nYou'll work on client projects where the data is the hard part: messy, high-volume, and scientifically complex. You'll clean it, structure it, and analyze it so scientists get answers faster. You'll set technical direction, grow the engineers around you, and be the person clients call when their data isn't telling them anything yet.\n\nOur Approach:\n\nWe build on strong engineering fundamentals: solid methodology, rigorous testing, and sound architecture. We use AI tools like Claude and Codex where they speed up delivery, while keeping critical thinking and engineering discipline at the center. We own the quality, accuracy, and understanding of the code we ship.\n\nWhat You’ll Do:\n\nTurn raw lab, research, and genomics data into clean, analysis-ready datasets.\nDesign data models that make scientific data easy to query and reuse.\nBuild repeatable pipelines so analysis doesn’t start from scratch every time.\nApply statistical methods and exploratory analysis to find what the data is saying.\nCreate visualizations that help researchers see results at a glance.\nBuild data quality checks that catch problems before they reach a result.\nPartner with scientists to understand the biology behind the data.\nOwn technical delivery for your project team: quality, pace, and direction.\nMentor the engineers on your team through code reviews and one-on-one problem solving.\nHelp engineers work through hard problems instead of solving them for them.\nPresent results, tradeoffs, and risks to clients in plain language.\nJoin pre-sales conversations with solution outlines and rough estimates.\nDocument key decisions in ADRs so the next team knows why, not just what.\n\nWhat You’ll Bring:\n\nExperience:\n\n6+ years in data science, data engineering, or software engineering.\nHands-on experience wrangling large, messy datasets into usable form.\nA working knowledge of statistics and exploratory data analysis.\nTime leading technical work for a team, formally or informally.\n\nMindset:\n\nReal curiosity about the science behind the data.\nRigor about data quality, reproducibility, and traceability.\nGenuine interest in helping other engineers grow.\nAbility to explain findings to scientists and non-technical stakeholders alike.\n\nNice to Have:\n\nExperience with lab, research, genomics, or bioinformatics data.\nFamiliarity with LIMS, ELNs, or instrument data.\nWork in regulated environments (HIPAA, FDA, GxP, 21 CFR Part 11).\nMachine learning applied to scientific data.\nConsulting or client-facing project experience.\n\nTech Like What You’ll Use (examples, not requirements; we’re stack agnostic):\n\nPython (pandas, NumPy, SciPy) and/or R\nNotebooks like Jupyter\nWorkflow tools like Nextflow, Snakemake, and Airflow\nRelational and analytical databases (Postgres, SQL Server, Databricks, or similar)\nVisualization tools like Plotly, ggplot2, or Power BI\nCloud platforms: Microsoft Azure and Amazon Web Services\n\nCompany Benefits & Perks\n\n20+ days of PTO accruable in the first year!\nComprehensive health insurance (Medical, Dental, Vision) with HMO and PPO options\nHealth Savings Account (HSA) with annual employer contributions\n401(k) with guaranteed company match (Traditional and Roth options)\n100% company-paid short-term and long-term disability\n100% company-paid life insurance with option to increase coverage\n100% company-paid identity theft protection\nOn-site gym with basketball court\nHybrid/remote schedule with home office stipend\nFresh fruit, healthy snacks, and beverages provided daily\nBonus certification program (Microsoft, AWS, PMP, IIBA, etc.)\nEmployee Assistance Program (counseling, legal, financial services)\nMonthly and Quarterly Recognition Awards with spot bonuses\nCompany-supported community outreach and volunteer opportunities\nEmployee-run committee involvement opportunities\nCollaborative culture founded on realized values and incredible people\n\nIf you need an accommodation as part of the employment process, please contact Human Resources via email at hradmin@yaharasoftware.com\n\nYahara Software LLC is an Equal Employment Opportunity/Affirmative Action Employer.\n\nThis is a full-time, salaried position with competitive salary and benefits. Candidates must be eligible to work in the U.S. on a permanent basis and can work on-site in our office located in Madison, Wisconsin.","datePosted":"2026-10-02T12:54:42.795Z","dateModified":"2026-10-02T12:54:42.795Z","hiringOrganization":{"@type":"Organization","name":"Yaharasoftware","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madison","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec0cc441d29bc10e1d69faeb"},"url":"https://jobsearcher.com/jobs/ec0cc441d29bc10e1d69faeb"}}