Computational Analyst (Neuroscience)
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Cambridge, MA
- Corporate
- On-Site
- Full-time
This vacancy has now expired. Please see similar roles below.
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.
Key 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.
Education & Experience
Must possess a BS 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. Of experience required, must have 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.
Alternatively, would accept a 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. Of academic or industry experience, must have 1 course or 1 year of (i),(ii), & (iii) (not (iv))
Experience may be gained concurrently. Would accept combination of education, training & work experience.
Salary: $122,839.48 - $138,500.00 per year
Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49648E
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We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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Pay Range: $
0 - 0 USD
Where We Work
Role is exclusively performed at a site or office and onsite presence is required. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.