Senior Scientist II, Computational Biology

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, neuroscience, and oncology – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on Linked In, Facebook, Instagram, You Tube, X, and You Tube.

Abb Vie is seeking an innovative and technically proficient scientist to lead the integration of statistical and computational methodologies into analysis workflows for Complex In Vitro Models (CIVM), including organoids, organ-on-a-chip, and advanced multicellular systems. This role will champion multi-modal phenotyping, manage centralized metadata, and drive the development of robust pipelines for hypothesis testing, causal inference, and predictive modeling using multi-omics datasets.

The ideal candidate will be instrumental in standardizing and harmonizing data formats and workflows across Immunology sites, collaborating with researchers to build scalable, reproducible data pipelines.

• Integrate statistical analysis and computational techniques into multimodal data workflows (imaging, spatial omics, etc.) to extract actionable biological insights.
• Collaborate with discovery scientists to design and analyze experiments, translating human-derived hypotheses into mechanistic wet lab assays.
• Lead development of scalable, reproducible pipelines for hypothesis testing, causal inference, and predictive modeling across imaging and multi-omics datasets.
• Guide statistical planning for in vitro (and in vivo studies as needed), including power/sample size calculations, randomization, and reproducibility standards.
• Ensure statistical rigor and appropriate evaluation strategies in interpreting experimental results, supporting go/no-go decisions and milestone reviews, especially for data from in vitro assays.
• Work closely with translational scientists, imaging scientists, bioinformaticians, and pathologists to translate scientific questions into computational solutions.
• Balance innovation with practicality, ensuring solutions are scalable, interpretable, and fit-for-purpose.
• Mentor junior scientists and foster a collaborative, innovative research environment.

• BS, MS, or PhD in Biophysics, Biology, Mathematics, Engineering, Pharmacology or related discipline with typically 12+ (BS), 10+ (MS), or 4+ (PhD) years of experience and a strong track record in computational biology and life science research.
• Minimum 3 years of hands-on experience in computational analysis, algorithm development, and statistics.
• Solid biological domain knowledge and ability to bridge computational and experimental perspectives.
• Exceptional written and verbal communication skills with demonstrated ability to communicate modeling approaches, assumptions, results, and limitations to technical and non-technical stakeholders.

• Experience with imaging technologies, functional assays, and data analysis for complex in vitro models.
• Proven record of developing or deploying statistical or AI/ML tools in research, especially in the context of 3D tissue models, organoids or related platforms in a drug discovery or translational research setting.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Company believes ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.
  
  Individual compensation paid within this range will depend on many factors including geographic location, andwemay ultimately pay more or less than the posted range. This range may be modified in thefuture.

• 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…