At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Beerse, Antwerp, Belgium Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Omics - R&D Data Science & Digital Health to focus on Neurodegeneration and/or Neuropsychiatry. This position can be located in either Cambridge, MA; Spring House, PA; San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% domestic and international travel. Please note that this role is available across multiple countries and may be posted under different requisition numbers to align with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA – Requisition Number: R-052120 Belgium - Requisition Number: R-053690 Role Summary Our Neuroscience Data Science & Digital Health (DSDH) team integrates the power of multi-omics, digital health technologies and clinical/real-world evidence (RWE) data to accelerate the delivery of transformational therapies for Neurodegeneration, Neuropsychiatry and Ophthalmology. We drive decision-making and breakthroughs from molecular discovery to clinical trials by partnering along the pipeline to ensure that data science & digital health strategies are embedded in every program. We are seeking a Principal Scientist, Omics to join our DSDH team focused on Neurodegeneration and/or Neuropsychiatry. In this role, you will drive the precision neuroscience strategy by shaping and leading the execution of projects that bring to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular signatures (genetics, gene expression, proteomics) to disease stage and progression, mechanisms of action, and disease endophenotypes. You will be part of a cross-functional team of data science leaders and partner closely with the Neuroscience Therapeutic Area, Quantitative Sciences, and Discovery Product Development and Supply (DPDS). This position offers the opportunity to transform how we understand disease biology, identify novel targets, stratify patients, and deliver better outcomes for people living with neurodegenerative and neuropsychiatric disorders. Key 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. Qualifications 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. Up to approximately 10% yearly travel is required (International, Domestic) This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, or San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% travel domestic and international. LI-SL JNJDataScience JNJIMRND-DS JRDDS LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis