20 часов назад
Post Doc, R&D Immunology - Population Analytics & Insights
79 000 - 127 650$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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