Senior Scientist/Principal Scientist, Immunology Computational Biology


The Genomic Research Center (GRC) Immunology Systems Computational Biology group at AbbVie is seeking a highly motivated
computational biologist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment
and cure of immunological diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human
genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas
such as process sciences and corporate strategy.

This position will be based in Cambridge, Massachusetts, and the candidate will 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. They will be responsible for formulating scientific questions into coherent
analytical reports, developing rigorous statistical and bioinformatics methods, integrating large scale multi-modal datasets to derive
quantitative biological insights, and communicating scientific findings to project teams. In addition, the candidate will contribute to
presentation and publication of translational findings in peer reviewed journals, new drug applications and regulatory filings.

Collaborate with research scientists to conceive analysis strategy and independently execute analysis to support discovery and
clinical pipelines such as new target identification and biomarker development
Build analytical approaches and perform analysis of molecular profiling data from patient cohorts to enable target
identification/assessment, drug combinations, understanding of MOA, disease subtypes and patient stratification etc.
Identify relevant analysis methodology, internal and external datasets, and knowledge resources for data integration
Communicate results verbally and in writing to scientific and technical audiences
Provide expertise and technical consultation for external collaborations/partnerships in academia and industry.

PhD. Degree in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field
Master’s degree with typically 10 years of experience
A minimum of 3 years of relevant experience working on omics data analysis
Experience in one or more of the following is required: a) bulk transcriptomic and single cell data analysis b) integration of
transcriptomics, proteomics, and/or epigenetics data, c) biological network inference
Proficient in at least one of following programming languages: R, Python and Shell in a Linux environment.

Expertise in computational biology, bioinformatics, genomics and biomarker strategies
Good understanding of immunology disease biology especially RA and SLE and related subjects
Experienced with analysis of epigenetic and/or spatial transcriptomics data
Expertise in predictive modeling, systems biology approaches and machine learning
In-depth understanding of technologies related to high-throughput experimental techniques, such as next generation
sequencing technologies, single cell platforms, microarray platforms, and their applications
Experience in designing and applying bioinformatics algorithms, unsupervised and supervised methods, univariate and
multivariate regression analyses, machine learning and deep learning methods
Proactive scientist 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

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