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At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

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Job Description:

At J&J Innovative Medicine we stand at the forefront of healthcare innovation and we are looking for atalented single-cell data scientistwith a passion foroncologyto join our dynamic team. As aPostdoctoral Scientistfocusing on(spatial) single-cellanalysis you will play a pivotal role in a groundbreaking two-year VLAIO-funded project dedicated to target identification in Lymphoma. During this project you will immerse yourself in the world ofsingle-cell data miningto streamline the selection of candidates for novel therapeutic modalities with a primary focus onimmuneandtargeted therapies. You will be part of a collaborative team composed of experts in statisticaldata analysissingle-cell omics andtumor biology where your responsibilities will include transforming complex data into actionable insights. This position offers a unique opportunity to enhance your skills in drug discovery while advancing the understanding of tumor biology. Be part of a passionate team committed to uncovering new treatments and making a real impact in the lives of patients.

Primary responsibilities:

• Analyze and integrate high-dimensional omics data from various modalities including spatial transcriptomics and single-cell sequencing to translate quantitative data in biological knowledge and evidence. Contribute to setting up these experiments internally by evaluating the experimental design.
• Act as an expert resource in drug target identification proposing novel and actionable target ideas aligned with internal strategy and capability based on both data analytics and current understanding in tumor biology.
• Effectively communicate research findings to both internal collaborators and external stakeholders through comprehensive project reports engaging oral presentations and contributions to peer-reviewed scientific publications.

Qualifications:

• Education: A recent Ph.D. degree in Bioinformatics Computational biology Biostatistics Data Science Biochemistry Engineering or a related field.

• Related Experience:
  • Demonstrate in-depth (spatial) single-cell analytics expertise.
  • Proficiency in programming languages such as R and Python.
  • Knowledge of machine learning statistical modeling feature development and data visualization techniques.
  • Analytical mind-set intellectual curiosity eagerness for continuous learning and passion for translating data into biological evidence and developing innovative solutions for complex biological questions using large datasets.
  • Background knowledge in tumor microenvironment immunology T-cell and cancer biology is a strong plus.
  • Quick learner motivated self-started and team player.
  • Very good interpersonal verbal and written communication skills in the English language.

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