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 will
contribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development
of 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/processing
workflows 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 discovery
o Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data
sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
o Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3
o Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets
and downstream effects relevant to immune disease
o Data Mining: Internal, collaborative, and public databases to assist in the characterization of
Immune 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 practices
across the field
• Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may
propose new avenues of investigation
• Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and
technical 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’s
degree from an accredited institution with six-plus (6+) years of experience in a related scientific discipline
OR Bachelor’s degree from an accredited institution with ten-plus (12+) years of experience in a STEM
discipline.
• The successful candidate will have experience with more than one of the following; analyzing nextgeneration
sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data
integration
• Good knowledge of existing bioinformatics databases and file formats
• In-depth understanding of computational methods for NGS analysis and the usage of public data resources
required
• Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash
shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant
R/Bioconductor packages
• Demonstrated ability to produce well-designed and documented code
• Familiarity with computational biology tools and experience working with computational biologists to solve
problems
• 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 and
consistent manner