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Job Title: Senior Scientist II, Bioinformatics (Spatial Proteomics and Single Cell Omics)
Company Name: AbbVie
Location: Cambridge, MA
Position Type: Full Time
Post Date: 05/22/2026
Expire Date: 06/21/2026
Job Categories: Advertising/Marketing/Public Relations, Biotechnology and Pharmaceutical, Engineering, Finance/Economics, Information Technology, Sales, Science, Quality Control
Job Description
Senior Scientist II, Bioinformatics (Spatial Proteomics and Single Cell Omics)

Company Description

About AbbVie

AbbVie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.


Job Description

The Immune Profiling and Systems Immunology (IPSI)team inDiscovery Immunology atCambridge, Massachusetts is seeking a highly skilledcandidate(senior scientist)with expertise in spatial proteomics,single cellmulti-omics data integration, and machine learning/artificial intelligence. The ideal candidate will have a strong background in bioinformatics and computational biology, with deep experience analyzing complex proteomics and spatial datasets, includingCyTOF,Flow Cytometry andImaging Mass Cytometry (IMC)-based proteomics, and related high-dimensional data modalities. This role will support the analysis of internal datasets and contribute to the identification of novel therapeutic targets for autoimmune and chronic inflammatory diseases.

Key Responsibilities:

  • Perform advanced analysis of high-dimensional proteomics and spatial datasets, includingCyTOF, Flow Cytometry,andIMC to generate actionable biological insights.
  • Develop, optimize, and maintain computational workflows and analytical pipelines for the processing, visualization, and interpretation of spatial proteomics and multi-omics data.
  • Conduct image-based protein quantification using IMC and spatial technologies, with a focus on cellular localization, tissue architecture, and co-localization of immune and stromal components.
  • Apply machine learning and AI-based approachesand network dynamicsto identify patterns, classify disease states, prioritize biomarkers, and support target discovery across integrated multi-omics datasets.
  • Collaborate with immunologists, biologists, computational scientists, and data engineers to translate analytical findings into preclinical and translational research applications.
  • Integrate proteomics data with transcriptomic, spatial, and other omics modalities to build a more comprehensive view of disease mechanisms.
  • Communicate complex analytical methods, results, and biological interpretations to both technical and non-technical stakeholders.
  • Contribute to scientific publications, conference presentations, and other internal or external research deliverables as needed.

Qualifications

Education:

  • BS, MS, or PhD with typically 12+ (BS), 10+ (MS), or 4+ (PhD) years of experiencein bioinformatics, computational biology, systems immunology, proteomics, data science, or a related field.

Technical Expertise:

  • Proficiency in R and Python, with experience working in Unix/Linux environments.
  • Strong foundation in statistical analysis, data modeling, machine learning, and AI methods applicable to high-dimensional biological data.
  • Experienced inCyTOF, flow cytometry, and single-cell omics data analysis.
  • Deep expertise inIMCanalyticalpipelines,including tools such asSteinbock forimagepreprocessing,SpatialX(BioTuring)for automated data and metadata submission, phenotyping(Pixie andFlowSOM),neighborhood analysis, differentialspatial workflows,andpairwise/triad interaction permutation analysis.
  • Skilled inhandling large-scale proteomics and multi-omics datasets, including quality control, normalization, integration, feature engineering, and downstream analysis.
  • Familiarity with and image-based computational workflows,spatialanalysis,network dynamics(Geneformer)andhistology.

Preferred Skills:

  • Experience with computational methods for protein quantification, post-translational modification analysis, and protein-protein interaction network analysis.
  • Familiarity with multi-omics integration approaches, including proteomics, transcriptomics, and spatial biology datasets.
  • Hands-on experience with ML/AI methods for clustering, classification, dimensionality reduction, biomarker discovery, and predictive modeling.
  • Strong communication skills, with the ability to present complex data to both scientific and non-scientific audiences.
  • A proactive and collaborative approach to problem-solving in a dynamic, fast-paced research environment.
  • Ability to manage multiple projects simultaneously and adapt to changing priorities.
  • Experience contributing to scientific publications, conference presentations, and regulatory submissions, as applicable.

Key Competencies:

  • Demonstrated ability to work independently while contributing effectively to multidisciplinary teams.
  • Strong organizational skills with the capacity to manage competing priorities and deliver high-quality work within deadlines.
  • Commitment to continuous learning, innovation, and staying current with the latest developments in proteomics and computational biology.

Additional Information

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 Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemay ultimately pay more or less than the posted range. This range may bemodified in thefuture.

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

  • This job is eligible toparticipate in our short-term incentiveprograms.

  • This job is eligible toparticipate in our long-term incentiveprogram.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremains in the Company'ssoleandabsolutediscretion unless and until paid andmay bemodified at the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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Contact Information
Company Name: AbbVie
Website:https://careers.abbvie.com/en/job/senior-scientist-ii-bioinformatics-spatial-proteomics-and-single-cell-omics-in-cambridge-ma-jid-28519?_atxsrc=HBCUConnect&utm_source=HBCUConnect
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