About the role

Principal Scientist focused on neurodegeneration and neuropsychiatry for Innovative Medicine at Johnson & Johnson. Leading data-driven projects integrating multi-omics and clinical data to enhance therapy development.

Responsibilities

Shape the strategy and implement projects for data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data, brain biology, and mechanism of action, drawing upon a combination of internal and external resources.
Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans across the Neurodegeneration and Neuropsychiatry portfolio, being forward looking and foreseeing a path to launch.
Remain current on the constantly evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration, omics, bioinformatics and AI/ML research in search of better strategies for accelerating and prioritizing our portfolio based on biological insights.
Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia to position the company at the forefront of data-driven neuroscience.

PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required.
3+ years of progressive industry or academic experience in applying data-driven methods in the context of target discovery and validation, translational science and patient stratification is required.
Extensive background working hands-on deriving insights from high-dimensional molecular data – particularly genetic, RNAseq, proteomics and/or single-cell data is required.
Proficiency in R, Python, or similar programming languages is required.
Proven track record of scientific contributions in this field with first author publications in high-impact journals is required.
Experience translating data into strategies and executable action plans is required.
Ability to clearly communicate technical work to a diverse audience is required.
Background and experience working in Neurodegeneration and/or Neuropsychiatry is strongly preferred.
Experience working with and leading interdisciplinary teams through either people or project leadership is preferred.
Familiarity with machine learning and innovative AI methodologies is preferred.
Strong reputation for driving novel solutions to problems and providing strategic advice is preferred.
Familiarity with clinical development processes is preferred.