Computational Analyst (Neuroscience)
About The Position
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. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. This role involves working closely with other computational biologists/bioinformaticians to implement & execute analysis & integration of high dimensional OMICS data (i.e. genetics, transcriptomics, proteomics, metabolomics) for target discovery & project support using pre-clinical & clinical data. The position will also involve refining & extending analysis workflows for data analysis, data visualization, & data tools (e.g. Rshiny) in collaboration with bioinformatics engineers. Communication of results to cross-functional teams in verbal or written form, facilitated by static & interactive data visualization, is also a key responsibility.
Requirements
- MS in Bioinformatics, (Bio)statistics, (Bio)Mathematics or related discipline & 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.
- 1 course or 1 year with each of the following: (i) coding in R or Python; (ii) generating interactive & static data visualization using R/Rshiny or Python; & (iii) applying statistical analyses, experiment design, regression & modeling to scientific questions.
- BS in Bioinformatics, (Bio)statistics, (Bio)Mathematics or related discipline, & 3 years of analyzing at least 1 of the following OMICS modalities: genetics, transcriptomics, proteomics, or metabolomics, from raw data to finished results.
- 3 years with each of the following: (i) coding in R or Python; (ii) generating interactive & static data visualization using R/Rshiny or Python; (iii) applying statistical analyses, experiment design, regression & modeling to scientific questions; & (iv) translating data results, including informative data visualization, in a non-technical format for written & oral presentations to stakeholders.
- Experience may be gained concurrently.
- Combination of education, training & work experience accepted.
Responsibilities
- Work closely with other computational biologists/bioinformaticians to implement & execute analysis & integration of high dimensional OMICS data (i.e. genetics, transcriptomics, proteomics, metabolomics) for target discovery & project support using pre-clinical & clinical data.
- Refine & extend analysis workflows for data analysis, data visualization, & data tools (e.g. Rshiny) in collaboration with bioinformatics engineers.
- Communicate results to cross-functional teams in verbal or written form, facilitated by static & interactive data visualization.
Benefits
- paid time off (vacation, holidays, sick)
- medical/dental/vision insurance
- 401(k) to eligible employees
- short-term and long-term incentive programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
