Postdoctoral Researcher Omics & Multimodal Data Integration, R&D Neuroscience Data Science & Di[...] in High Wycombe

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.

Our Neuroscience Data Science & Digital Health 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 and digital health strategies are embedded in every program.

We are seeking a Postdoctoral Researcher Omics & Multimodal Data Integration to join our team, with a specific focus on Alzheimer’s disease. This position can be located in either Beerse (Antwerp, Belgium), High Wycombe (United Kingdom), or Cambridge-MA/Spring House-PA (United States of America).

• Develop and execute plans for the analysis & integration of multi-omics and other data modalities such as electronic health records and imaging data from Alzheimer’s disease patient cohorts and human cell models, to develop patient stratification approaches for precision neuroscience, identify novel therapeutic targets, and enable the generation of innovative disease models in support of drug discovery.
• Partner closely with discovery and clinical scientists to ensure purposeful interrogation of multimodal human datasets and translation of data-derived hypotheses into clinical and wet lab validation plans.
• Build strong relationships with key internal and external partners to help shape academic collaborations and define the scope of the research questions.
• Remain current on the evolving landscape of Alzheimer’s disease and the use of omics, RWE data, and AI/ML in search of innovative approaches to derive biological insights that could accelerate and prioritize drug discovery.

• PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field, completed within the past 3 years is required.
• Extensive hands-on expertise in analyzing and integrating multimodal omics data from patient cohorts and preclinical models 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 is required.
• Ability to clearly communicate technical work to a diverse audience is required.
• Background and experience working in Neurodegeneration, and particularly Alzheimer’s disease, is preferred.
• Experience analyzing other data modalities from observational studies such as electronic health record, digital health technology, imaging and biomarker data is preferred.
• Familiarity with machine learning and state-of-the-art AI methodologies is preferred.

This position currently has the option to follow a hybrid schedule of 3 days per week on-site and 2 days per week remote (no fully remote option available) and can be located in Beerse (Antwerp, Belgium), High Wycombe (United Kingdom), Cambridge-MA/Spring House-PA (United States of America) or Zug (Switzerland). The job may require approximately 10% travel domestic and international.