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Director, Head of Bioinformatics Immunology

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: AbbVie
Full Time position
Listed on 2025-12-17
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Director, Head of Bioinformatics for Immunology

Director, Head of Bioinformatics for Immunology

Join to apply for the Director, Head of Bioinformatics for Immunology role at Abb Vie.

Base pay range: $/yr - $/yr

Company Description

Abb Vie'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 Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

Job Description

The role of Director, Head of Bioinformatics for Immunology in Quantitative Medicine and Genomics (QM&G) is pivotal for driving data-driven insight for target identification and validation, biomarker discovery, clinical development, forward and reverse translation, therapeutic innovation, and manufacturing within the QM&G functional area and across R&D. This role is responsible for leading a distributed team that leverages cutting-edge bioinformatics to derive novel insights for end-to-end drug discovery and development;

while the position is focused primarily in Immunology there are also opportunities for cross-collaboration in multiple therapeutic areas, including, Aesthetics, Specialty Medicine, Biotherapeutics, Manufacturing Science and Technology.

Key Responsibilities
  • Accelerate Abb Vie’s drug discovery and development pipeline by establishing forward-thinking informatics strategies and executing on results for multiple disease areas within Immunology
  • Lead a dynamic team of bioinformaticians, and data scientists. Foster a culture of high performance and professional growth, ensuring the team operates at the cutting-edge of scientific research and development.
  • Spearhead innovative computational systems biology initiatives to revolutionize the discovery of therapeutic targets. Integrate insights from genetic, multi-omics, and functional genomics data to drive innovation in therapy development.
  • Oversee the application of AI/ML methods in both Discovery and clinical Development. Enable reverse translation leveraging cross-sectional, multi-modal clinical data analysis and method development.
  • Optimize genetic medicine and biotherapeutics manufacturing capabilities through advanced computational insights and AI/ML applications, enhancing the efficacy and scalability of the next-generation therapeutic approaches.
  • Foster strong collaborations within the Bioinformatics community and across R&D, clinical teams, and other departments to ensure bioinformatic and genetic insights are effectively integrated into Abb Vie's pipeline programs.
  • Cultivate and lead partnerships with academic institutions, biotechnology companies, and technology providers. Drive the evaluation and integration of emerging technologies and methodologies, enhancing team capabilities and keeping Abb Vie at the helm of scientific progress.
Qualifications
  • PhD. in bioinformatics, statistics, mathematics, computer science, computational biology, genomics, or a related field with 8+ years industry/academic experience.
  • Or master's degree with 15+ years of relevant experience.
  • Proven success of managing, leading, and mentoring interdisciplinary teams in large-scale research environments, demonstrating exceptional management and leadership capabilities.
  • Extensive experience applying AI/ML techniques in drug discovery and development to drive innovation and therapeutic outcomes, with proven results and impact.
  • Deep expertise in transcriptomics and proteomics, encompassing bulk, single-cell, and spatial approaches, and multi-omic integration methodologies.
  • Proficient in genetic analysis techniques, including GWAS, QTL, genetic risk modeling, and multi-omics integration, with a focus on actionable insights.
  • Strong background in target identification, biomarker discovery, and clinical translation, aimed at enhancing therapeutic development processes.
  • Demonstrated ability to collaborate cross-functionally, with experience in working with clinical teams and…
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