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# Software Developer - Bioinformatics (ETL & Object Oriented Programming)

- **Company:** Boehringer Ingelheim
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $114,400.0 - $131,186.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Bioinformatics, Unix, Cloud Computing, Computational Biology, Computer Simulation, Databases, Data Transmissions, Data Integration, Extract Transform Load (ETL), Data Mining, Data Visualization, R (Programming Language), Python (Programming Language), Laboratory Information Management Systems, Object-Oriented Software Development, Simple Data Format, Data Processing, Scripting, Bioconductor, Information Technology, Data Management, Programming Languages
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=41033f33790916df

## About the Role

* 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
QUALIFICATION/LICENSURE
Work Authorization : Green Card, US Citizen
Preferred years of experience : 3 years
Travel required : No travel required

## Description

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


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