Scientist III

Boehringer Ingelheim; Ridgefield (CT); On-site; USD 120,000 - 180,000; Full time

Job summary

Boehringer Ingelheim in Ridgefield, CT, seeks a bioinformatics scientist to design and implement NGS data analysis workflows, integrate multi-omics data, and drive discovery of immune-disease targets. The role requires deep bioinformatics expertise and experience with R, Python, and Nextflow in a pharma research setting.

You will analyze bulk RNA-seq, single-cell RNA-seq, and ATAC-Seq data, visualize results, and communicate findings to multidisciplinary teams while applying rigorous QC and

Qualifications

• Strong scientific understanding and experience in bioinformatics.
• Experience in pharmaceutical research and immunological diseases is a plus.
• Design, implement and/or deploy NGS workflows for data processing and discovery.
• Omics data analysis and interpretation of genomic data sets (bulk RNA-seq, scRNA-seq, ATAC-Seq).
• Fluency in data visualization (e.g., R Shiny, D3).
• Multi-omics data integration to identify drug targets and biomarkers.
• Benchmark methods, QC, and apply innovative analysis when standard methods fail.
• Interpret results and communicate findings clearly to teams.
• Experience with multiple areas: NGS, functional genomics, big data stats, or multi-omics.

Responsibilities

• Interpret and present analysis results to coworkers and collaborators.
• Automate processing and results reporting and delivery.
• Follow scientific literature to apply optimal methods.
• Demonstrate ability to propose follow-up experiments and new avenues.
• Collaborate in a multi-disciplinary environment and troubleshoot as a team.

Skills

NGS data analysis

Bioinformatics

Multi-omics integration

Data mining

Data visualization

OChem/omics interpretation

Education

Master's degree in a related scientific field

Bachelor's degree + 7+ years STEM experience

Tools

R

Python

Shiny

Nextflow

UNIX/Linux

Job description

• Strong scientific understanding and experience in bioinformatics
• Experience in pharmaceutical research and in Immunological disease a plus
• 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
• Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
• Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3
• Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
• 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
• 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
• The successful candidate will have experience with more than one of the following; analyzing next-generation 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
• Master’s degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor’s degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.