{"schemaVersion":"jobsearcher.job.v1","id":"4cfd7a3edc1e0f3430563b45","url":"https://jobsearcher.com/jobs/4cfd7a3edc1e0f3430563b45","canonicalUrl":"https://jobsearcher.com/jobs/4cfd7a3edc1e0f3430563b45","title":"Software Developer - Bioinformatics (ETL & Object Oriented Programming)","description":"As an active team member of the Exploratory Bioinformatics group within the Computational Biology (CompBio)\nresearch group at Boehringer-Ingelheim’s US research facility in Ridgefield, CT. The successful candidate will\ncontribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development\nof core informatics pipelines and data organization.\n\nStrong scientific understanding and experience in computer science or bioinformatics\nWork closely with internal genomics core groups and external CROs to enable data transfer/processing\nworkflows to enable FAIR data\n\nLeverage sample management, LIMS and other FAIR data resources to ensure efficient workflows\nDesign, implement and/or deploy NGS data analysis workflows for data processing, visualization,\nintegration and mining to support novel therapeutic target identification and disease biomarker discovery\no Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data\nsets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)\no Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3\no Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets\nand downstream effects relevant to immune disease\no Data Mining: Internal, collaborative, and public databases to assist in the characterization of\nImmune disease\n\nSelect, and benchmark methods and tools, define and perform appropriate QC measures\nApply and develop innovative analysis approaches when standard methods are not adequate\nInterpret and present analysis results to coworkers and collaborators\nFollow relevant scientific literature to ensure use of optimal methods and understand emerging practices\nacross the field\n\nDemonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may\npropose new avenues of investigation\n\nCommunicates own work effectively orally and in writing; contributes to writing protocols, procedures, and\ntechnical reports\n\nAutomate processing and results reporting and delivery\nExperience with at least one object oriented language\nReports and treats data with a high level of integrity and ethics\nComplies with applicable regulations; Maintains proper records in accordance with SOPs and policies\nExperience working in genomics lab setting\nPhD degree (or equivalent) from an accredited institution in a related scientific discipline OR Master’s\ndegree from an accredited institution with six-plus (6+) years of experience in a related scientific discipline\nOR Bachelor’s degree from an accredited institution with ten-plus (12+) years of experience in a STEM\ndiscipline.\n\nThe successful candidate will have experience with more than one of the following; analyzing nextgeneration\nsequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data\nintegration\n\nGood knowledge of existing bioinformatics databases and file formats\nIn-depth understanding of computational methods for NGS analysis and the usage of public data resources\nrequired\n\nStrong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash\nshell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant\nR/Bioconductor packages\n\nDemonstrated ability to produce well-designed and documented code\nFamiliarity with computational biology tools and experience working with computational biologists to solve\nproblems\n\nMust enjoy working in a multi-disciplinary and collaborative environment\nAbility to troubleshoot both individually and as part of a team\nExcellent oral and written skills with the ability to communicate in an open, transparent, timely and\nconsistent manner\nQUALIFICATION/LICENSURE\nWork Authorization : Green Card, US Citizen\nPreferred years of experience : 3 years\nTravel required : No travel required\n\nShift timings :","company":"Boehringer Ingelheim","rawCompany":"boehringer ingelheim","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:41:23.017Z","occupations":[{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-2099.01","title":"Bioinformatics Technicians","slug":"bioinformatics-technicians"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"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"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Developer - Bioinformatics (ETL & Object Oriented Programming)","description":"As an active team member of the Exploratory Bioinformatics group within the Computational Biology (CompBio)\nresearch group at Boehringer-Ingelheim’s US research facility in Ridgefield, CT. The successful candidate will\ncontribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development\nof core informatics pipelines and data organization.\n\nStrong scientific understanding and experience in computer science or bioinformatics\nWork closely with internal genomics core groups and external CROs to enable data transfer/processing\nworkflows to enable FAIR data\n\nLeverage sample management, LIMS and other FAIR data resources to ensure efficient workflows\nDesign, implement and/or deploy NGS data analysis workflows for data processing, visualization,\nintegration and mining to support novel therapeutic target identification and disease biomarker discovery\no Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data\nsets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)\no Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3\no Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets\nand downstream effects relevant to immune disease\no Data Mining: Internal, collaborative, and public databases to assist in the characterization of\nImmune disease\n\nSelect, and benchmark methods and tools, define and perform appropriate QC measures\nApply and develop innovative analysis approaches when standard methods are not adequate\nInterpret and present analysis results to coworkers and collaborators\nFollow relevant scientific literature to ensure use of optimal methods and understand emerging practices\nacross the field\n\nDemonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may\npropose new avenues of investigation\n\nCommunicates own work effectively orally and in writing; contributes to writing protocols, procedures, and\ntechnical reports\n\nAutomate processing and results reporting and delivery\nExperience with at least one object oriented language\nReports and treats data with a high level of integrity and ethics\nComplies with applicable regulations; Maintains proper records in accordance with SOPs and policies\nExperience working in genomics lab setting\nPhD degree (or equivalent) from an accredited institution in a related scientific discipline OR Master’s\ndegree from an accredited institution with six-plus (6+) years of experience in a related scientific discipline\nOR Bachelor’s degree from an accredited institution with ten-plus (12+) years of experience in a STEM\ndiscipline.\n\nThe successful candidate will have experience with more than one of the following; analyzing nextgeneration\nsequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data\nintegration\n\nGood knowledge of existing bioinformatics databases and file formats\nIn-depth understanding of computational methods for NGS analysis and the usage of public data resources\nrequired\n\nStrong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash\nshell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant\nR/Bioconductor packages\n\nDemonstrated ability to produce well-designed and documented code\nFamiliarity with computational biology tools and experience working with computational biologists to solve\nproblems\n\nMust enjoy working in a multi-disciplinary and collaborative environment\nAbility to troubleshoot both individually and as part of a team\nExcellent oral and written skills with the ability to communicate in an open, transparent, timely and\nconsistent manner\nQUALIFICATION/LICENSURE\nWork Authorization : Green Card, US Citizen\nPreferred years of experience : 3 years\nTravel required : No travel required\n\nShift timings :","datePosted":"2026-08-15T13:41:23.017Z","dateModified":"2026-08-15T13:41:23.017Z","hiringOrganization":{"@type":"Organization","name":"Boehringer Ingelheim","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4cfd7a3edc1e0f3430563b45"},"url":"https://jobsearcher.com/jobs/4cfd7a3edc1e0f3430563b45"}}