- PhD. degree in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field with a minimum of 8 years of experience in industry or academia.
- Masters degree with typically12 years of experience
- At least 2 years of experience managing direct reports
- A minimum of 5 years of hands-on experience in analyzing multi-omics data (e.g. bulk and single-cell RNA-seq, proteomics, genetics, epigenetics data)
- Highly proficiency in machine learning and algorithmic analysis of multi-omics data
- Highly proficient with statistical and programing languages (R, Python), Unix/Linux/cloud environment, and SQL and noSQL database query languages
- Deep understanding of autoimmune diseases especially fibrotic disease biology
- Expertise in computational biology and biomarker strategies
- Expertise in predictive modeling, quantitative data analysis, and machine learning
- Experience with multi-omics data integration and with novel technologies such as spatial transcriptomics, Perturb-seq, CRISPR, etc.
- Experience with establishing team goals and strategies, managing objectives and priorities for their direct reports, and mentor and develop junior scientists in both team and matrixed environment
- Proactive scientific leader with outstanding presentation and communication skills that foster collaboration and teamwork
- A collaborative and self-motivated individual with a strong work ethic, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- 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 incentive programs.
- This job is eligible to participate in our long-term incentive programs.
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Senior Principal Research Scientist, Immunology Computational Biology Fibrosis Lead - Cambridge, United States - BioSpace
Description
Job DetailsCompany Description
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 Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job Description
The Genomics Research Center (GRC) Immunology Computational Biology group at AbbVie is seeking a highly motivated, experienced computational biology leader to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment and cure of immunological diseases. AbbVies GRC is a center of excellence for bioinformatics, functional genomics, human genetics and pharmacogenomics. GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, search and evaluation and corporate strategy.
This position will be based in Cambridge, Massachusetts. The candidate will lead a team focused on fibrotic diseases and work closely with computational biologists across the network and be embedded in research project teams in immunology discovery and precision medicine to analyze multi-omic datasets to derive insights into immunological diseases, identify novel therapeutic targets and biomarkers specific to patient cohorts and AbbVie pipeline drugs. The successful applicant will address key project team questions related to forward and reverse translation, genomic biomarker identification and mechanistic characterization, and communicate findings to internal and external stakeholders . In addition, the candidate will contribute to presentations at scientific conferences and publications of translational findings in peer reviewed journals, new drug applications and regulatory filings.
KeyResponsibilities:
Partner with immunology discovery and precision medicine to perform hands on omics data analysis to address key project questions related to forward/reverse translation, genomic biomarker development and mechanistic characterization
Be our fibrotic disease area representative in program teams and coordinate cross-functional projects
Provide expert guidance and suggestions on experimental design and analytical insights
Perform novel target identification from internal and external omics data, and advance these targets into the immunology pipeline
Support target and biomarker development for enterprise-critical late-stage programs experimental medicine and clinical trials
Evaluate patient stratification hypothesis for immunological diseases and integrate with clinical trial data to predict personalized treatments
Develop and implement analytical approaches and best practices for novel technologies such as spatial transcriptomics, single cell sequencing and CRISPR
Hire, mentor and develop scientists with high caliber and potentialSignificant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Qualifications
BASIC QUALIFICATIONS:
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies 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.
