Computational Neuroscience Data Analyst — Omics

Allergan; Cambridge, Northern (MA, KY); Hybrid; USD 126,000 - 143,000; Full time

Benefits offered by this job

Benefits package

Incentive programs

Job summary

AbbVie is seeking a Computational Analyst (Neuroscience) at the Bioresearch Center in Cambridge, MA, on a hybrid schedule (onsite 3 days/week, 2 days WFH). The role focuses on integrating genetics, transcriptomics, proteomics, and metabolomics data for target discovery and project support.

The candidate will refine analysis workflows and develop visualization tools, and will communicate findings to cross-functional teams with clear data representations.

Qualifications

• Must have an MS in Bioinformatics, (Bio)statistics, (Bio)Mathematics or related discipline with 1 year of analyzing OMICS data.
• Alternatively, a BS with 3 years of experience analyzing at least one OMICS modality and 3 years each of coding in R/Python, generating data visualizations, and applying statistics; ability to translate results for stakeholders.

Responsibilities

• Collaborate with computational biologists/bioinformaticians to analyze high-dimensional OMICS data for target discovery and project support.
• Refine and extend analysis workflows and visualization tools (e.g., Rshiny) with bioinformatics engineers.
• Communicate results to cross-functional teams through verbal and written reports and visualizations.

Skills

R

Python

Data visualization

Statistics

Experiment design

Education

MS in Bioinformatics / related

BS in Bioinformatics / related

Tools

Rshiny

Python

Job description

AbbVie is seeking a Computational Analyst (Neuroscience) at the Bioresearch Center in Cambridge, MA, on a hybrid schedule (onsite 3 days/week, 2 days WFH). The role focuses on integrating genetics, transcriptomics, proteomics, and metabolomics data for target discovery and project support.

The candidate will refine analysis workflows and develop visualization tools, and will communicate findings to cross-functional teams with clear data representations.