The Genomics Research Center (GRC) Immunology 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, search and evaluation and corporate strategy.
This position will be based in Cambridge, Massachusetts (REMOTE optional), 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. The successful applicant will address key project team questions related to forward/reverse translation, genomic biomarker identification, companion diagnostic development 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.
- Utilize off-the-shelf and develop bespoke statistical methods to uncover meaningful and actionable scientific findings from omics data (e.g., genomics, transcriptomics, epigenomics, proteomics) from internal clinical and translational activities and from relevant external studies
- Partner with clinical development and translational science teams to address key project team questions related to biomarker strategy, drug mechanisms of action, disease subtypes, indication selection, patient stratification, etc, with the appropriate experimental design, analytical approaches, and statistically meaningful results
- Conduct necessary quality control checks and data management of large omics and phenotypic datasets
- Establish, review and improve relevant computational pipelines, workflows and methodologies
- Communicate analytical approach and results verbally and in writing for scientific and technical audiences
- Provide expertise and technical consultation for external collaborations/partnerships in academia and industry
- PhD, MS or BS in bioinformatics, statistics, mathematics, computer science, computational biology, genomics, or a related field with typically 0+ (PhD), 4-6+ (MS), or 6-8+ (BS) years of experience
- Hands on experience in statistical analysis of multi-omics data (e.g. bulk/single-cell RNA-seq, microarray, proteomics or genetics data), longitudinal data, and developing predictive models
- Demonstrated ability to provide expertise in state-of-the art statistical methods for differential expression and pathway analysis
- Strong verbal and written communication skills, with the ability to effectively convey complex concepts to a diverse group of individuals including computational experts and medical professionals
- Fluency in statistical and programing languages (R, Python), Unix/Linux/cloud environment, and SQL and noSQL database query languages
- Expertise in building and evaluating predictive models, machine learning algorithms, and biological network analysis
- Develop and implement analysis workflow and software applications to visualize and integrate complex genomics and clinical data
- Familiarity with external databases such as GEO, ArrayExpress, MSigDB etc.
- Good understanding of immunology disease biology and biomarker development
- Ability to work in a multiple-task, fast-paced, highly collaborative, and dynamic work environment
- 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
AbbVie is an equal opportunity employer including disability/vets. 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 disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours.