Computational Analyst (Neuroscience)

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.

Responsibilities

• Work closely with other computational biologists/bioinformaticians to implement and execute analysis and integration of high-dimensional OMICS data (i.e., genetics, transcriptomics, proteomics, metabolomics) for target discovery and project support using pre-clinical and clinical data.
• Refine and extend analysis workflows for data analysis, data visualization, and data tools (e.g., RShiny) in collaboration with bioinformatics engineers.
• Communicate results to cross-functional teams in verbal or written form, facilitated by static and interactive data visualization.

Requirements

• Must possess a MS in Bioinformatics, (Bio)statistics, (Bio)Mathematics, or related discipline and 1 year of academic or industry experience analyzing at least one of the following OMICS modalities: genetics, transcriptomics, proteomics, or metabolomics, from raw data to finished results.
• Of academic or industry experience, must have 1 course or 1 year with each of the following:
  • Coding in R or Python;
  • Generating interactive and static data visualization using R/RShiny or Python;
  • Applying statistical analyses, experiment design, regression, and modeling to scientific questions.
• Alternatively, would accept a BS in Bioinformatics, (Bio)statistics, (Bio)Mathematics, or related discipline, and 3 years of analyzing at least one of the following OMICS modalities: genetics, transcriptomics, proteomics, or metabolomics, from raw data to finished results.
• Of the 3 years of experience required, must have 3 years with each of the following:
  • Coding in R or Python;
  • Generating interactive and static data visualization using R/RShiny or Python;
  • Applying statistical analyses, experiment design, regression, and modeling to scientific questions;
  • Translating data results, including informative data visualization, in a non-technical format for written and oral presentations to stakeholders.
• Experience may be gained concurrently. Would accept a combination of education, training, and work experience.

This role is based in Cambridge, MA, and follows a hybrid schedule (onsite 3 days a week, 2 days remote).

Pay

Salary Range: $126,278.99 - $142,500.00 per year.

Benefits

• Paid time off (vacation, holidays, sick)
• Medical, dental, and vision insurance
• 401(k) retirement plan
• Eligibility to participate in short-term and long-term incentive programs