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Johnson & Johnson Innovative Medicine · 6 hours ago

Senior Scientist, Omics - R&D Data Science & Digital Health – Neuroscience

Cambridge, MA

Full-time

Hybrid

Mid, Senior Level

$109K/yr - $175K/yr

Johnson & Johnson Innovative Medicine is a leader in healthcare innovation, focused on developing treatments and cures for complex diseases. The Senior Scientist, Omics role involves leveraging multi-omics and digital health technologies to drive breakthroughs in neurodegeneration and neuropsychiatry.

Pharmaceuticals

Responsibilities

Implement innovative data science projects to uncover novel therapeutic targets, optimize patient stratification, and identify precision biomarkers by deriving insights from multi-omics data linked to brain biology and neuropsychiatric/neurodegenerative disease mechanisms

Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to support the precision neuroscience strategy for programs in the Neuropsychiatry/Neurodegeneration portfolio

Remain current on the constantly evolving landscape of neuroscience, neurodegeneration, and neuropsychiatry, omics, bioinformatics and AI/ML research in search of better approaches for accelerating and prioritizing our portfolio based on biological insights

Build strong relationships with internal partners and key academic collaborators, and consortia to position the company at the forefront of data-driven neuroscience

Qualification

PhD in neuroscienceHigh-dimensional molecular dataR programmingPython programmingNeuropsychiatry/NeurodegenerationMachine learningData-driven methodsBioinformaticsData analysisCollaborationCritical thinkingTechnical communication

Required

PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required

Experience working hands-on deriving insights from high-dimensional molecular data – particularly genetic (GWAS, WGS), RNAseq, proteomics and/or single-cell data is required

Proficiency in R, Python, or similar programming languages is required

Experience translating data into executable action plans is required

Ability to clearly communicate technical work to a diverse audience is required

Up to approximately 10% yearly travel is required (International, Domestic)

Preferred

Proven track record of scientific contributions in this field with first author publications in high-impact journals is strongly preferred

Background and experience working in Neuropsychiatry/Neurodegeneration is preferred

Experience in applying data-driven methods in the context of target discovery and validation, translational science and/or patient stratification is preferred

Familiarity with machine learning and innovative AI methodologies is preferred