Principal Scientist leading data-driven neuroscience strategies at Johnson & Johnson. Focusing on Neurodegeneration and Neuropsychiatry through multi-disciplinary collaboration and innovative research.
Responsibilities
Shape the strategy and implement projects for data-driven identification of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data
Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans
Remain current on the evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration
Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia
Requirements
PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field
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
Extensive background working hands-on deriving insights from high-dimensional molecular data – particularly genetic, RNAseq, proteomics and/or single-cell data
Proficiency in R, Python, or similar programming languages
Proven track record of scientific contributions in this field with first author publications in high-impact journals
Experience translating data into strategies and executable action plans
Ability to clearly communicate technical work to a diverse audience
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
Up to approximately 10% yearly travel is required (International, Domestic)
Benefits
medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
retirement plan (pension)
savings plan (401(k))
vacation – up to 120 hours per calendar year
sick time - up to 40 hours per calendar year
holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Job title
Principal Scientist, Omics – R&D Data Science, Digital Health – Neuroscience
Data Scientist at Prima shaping the future of motor insurance through advanced analytics and machine learning. Collaborating with cross - functional teams to turn insights into action.
Senior Scientist, Omics at Johnson & Johnson focusing on Neurodegeneration and Neuropsychiatry. Implementing data science projects to deliver treatments and optimize patient stratification.
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.
Fraud Data Scientist generating insights using statistical analysis and machine learning for UMB's fraud initiatives. Involves collaboration across teams to enhance fraud detection models.
Lead Graph Data Scientist at USAA developing models for identity theft and fraud detection. Partner with teams to enhance fraud prevention measures through advanced analytics and graph techniques.
Develops quantitative solutions addressing identity theft and fraud detection at USAA. Collaborates with teams on machine learning models and graph analytics strategies.
Senior Test Design & Data Science Consultant at Wells Fargo developing and implementing marketing testing strategies. Collaborating on forecasting and optimizing marketing campaigns across Consumer Banking and Lending teams.
Data Scientist (BI) designing and implementing BI solutions for LUZA Group, focusing on data ingestion, transformation, analysis, and visualization, primarily with Power BI.
Teamlead Data Science overseeing strategic AI initiatives for business impact at leading Austrian corporation. Responsible for team development and end - to - end data solutions.
Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.