The Genomic 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. Key Responsibilities:
- Integrate multi-omics data to infer context-specific regulatory network for target identification and biomarker selection
- Develop the network-based machine learning method to assess the drug combination opportunity based on the internal omics data generated from Abbvie clinical trials
- Perform patient stratification for immunological diseases and integrate with clinical trial data to predict personalized treatment
- Identify treatment related cell types by integrating single-cell data with internal phamacogenomic data
- 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 4+ (PhD), 10+ (MS), or 12+ years of experience
- A minimum of 3 years of relevant experience working on omics data analysis
- Hands on experience in analysis of multi-omics data (e.g. bulk/single-cell RNASeq, proteomics or genetics data)
- Hands on experience in multi-omics data integration based on the current best-practices (e.g. DIABLO)
- Highly proficiency in machine learning (Deep Learning, Embeddings, Reinforcement and Transfer 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
- Expertise in computational biology, biostatistics and biomarker strategies
- Good understanding of immunology disease biology
- Experienced with statistical analysis of genomic and transcriptomic data
- Expertise in predictive modeling, quantitative data analysis, and machine learning
- Develop and implement analysis workflow, software applications, and data warehouse to improve visualization, integration, and accessibility of complex genomics and clinical data
- 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
Position will be hired based on level of experience.
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.