Software Developer - Bioinformatics (ETL & Object Oriented Programming)

As an active team member of the Exploratory Bioinformatics group within the Computational Biology (CompBio)research group at Boehringer-Ingelheim’s US research facility in Ridgefield, CT. The successful candidate willcontribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as developmentof core informatics pipelines and data organization. Strong scientific understanding and experience in computer science or bioinformatics Work closely with internal genomics core groups and external CROs to enable data transfer/processingworkflows to enable FAIR data Leverage sample management, LIMS and other FAIR data resources to ensure efficient workflows Design, implement and/or deploy NGS data analysis workflows for data processing, visualization,integration and mining to support novel therapeutic target identification and disease biomarker discoveryData Analysis: Implement methods for omics data analysis, and interpretation of genomic datasets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targetsand downstream effects relevant to immune diseaseData Mining: Internal, collaborative, and public databases to assist in the characterization ofImmune disease Select, and benchmark methods and tools, define and perform appropriate QC measures Apply and develop innovative analysis approaches when standard methods are not adequate Interpret and present analysis results to coworkers and collaborators Follow relevant scientific literature to ensure use of optimal methods and understand emerging practicesacross the field Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and maypropose new avenues of investigation Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, andtechnical reports Automate processing and results reporting and delivery Experience with at least one object oriented language Reports and treats data with a high level of integrity and ethics Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies Experience working in genomics lab setting PhD degree (or equivalent) from an accredited institution in a related scientific discipline OR Master’sdegree from an accredited institution with six-plus (6+) years of experience in a related scientific disciplineOR Bachelor’s degree from an accredited institution with ten-plus (12+) years of experience in a STEMdiscipline. The successful candidate will have experience with more than one of the following; analyzing nextgenerationsequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics dataintegration Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resourcesRequired Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bashshell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevantR/Bioconductor packages Demonstrated ability to produce well-designed and documented code Familiarity with computational biology tools and experience working with computational biologists to solveproblems Must enjoy working in a multi-disciplinary and collaborative environment Ability to troubleshoot both individually and as part of a team Excellent oral and written skills with the ability to communicate in an open, transparent, timely andconsistent manner