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20 часов назад

Post Doc, R&D Immunology - Population Analytics & Insights

79 000 - 127 650$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Post Doc, R&D Immunology - Population Analytics & Insights (Immunology/Data Science): Building computational frameworks to evaluate drug targets and stratify patients using clinical, genetic, multi-omic, phenomic, and cell phenotype data with an accent on network analysis, statistical modeling, and AI/ML. Focus on linking molecular targets to disease pathways, predicting target activity and toxicity, identifying biomarkers for immune-mediated diseases, and translating computational findings into biological and pharmacological validation.

Location: Spring House, Pennsylvania, United States of America; the primary location is Spring House, PA.

Base pay: $79,000–$127,650 per year.

Company

Johnson & Johnson develops innovative medicine and MedTech solutions across healthcare, with a focus on advancing treatments for complex diseases.

What you will do

  • Construct analytical frameworks integrating perturbation, ontology, cellular phenotyping, genomics, transcriptomics, proteomics, and other molecular datasets.
  • Apply inference, network-based modeling, machine learning, and other computational methods to connect drug targets with disease states and pathways.
  • Model multimodal genetic, transcriptomic, proteomic, and functional data to predict pathway activity and synergistic effects.
  • Analyze phenomic, multi-omic, and biobank-scale data to identify therapeutic targets, patient segments, and biomarkers for immune-mediated diseases.
  • Consult with Immunology colleagues and facilitate collaboration across scientific functions.
  • Translate computational findings into functional, biological, and pharmacological validation.

Requirements

  • Completed Ph.D. in a quantitative field with a strong biological basis, such as bioinformatics, computational biology, systems biology, or statistical genetics.
  • Experience analyzing multi-omic data, including RNA gene expression, proteomics, epigenomics, and genetics, at bulk and single-cell levels.
  • Working knowledge of gene and pathway ontology databases and network analysis.
  • Proficiency in programming and computational methods, with the ability to deliver objectives within defined timelines.
  • Strong communication, organization, leadership, publication, and cross-functional collaboration skills.
  • Ability to work independently in a fast-moving, multifaceted scientific environment.

Nice to have

  • Experience with Immunology projects, perturbation data, drug discovery, and pharmaceutical development.
  • Expertise in NLP, ML/AI, LLMs, predictive target-engagement models, and druggability evaluation.

Culture & Benefits

  • Inclusive work environment focused on scientific collaboration and patient impact.
  • Eligibility for pension and 401(k) savings plans, subject to applicable plan terms.
  • Vacation, sick time, holiday pay, personal and family time, parental leave, bereavement leave, caregiver leave, volunteer leave, and military spouse time-off benefits.

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