Role Summary Our Neuroscience Data Science & Digital Health team integrates the power of multi‑omics, digital health, imaging 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. Location & Schedule The position can be located in Beerse (Antwerp, Belgium), High Wycombe (United Kingdom), Zug (Switzerland), or Cambridge/Spring House (US). The role may adopt a hybrid schedule of 3 days per week on‑site and 2 days remote (no fully remote option). The job may require approximately 10% travel domestic and international. Key Responsibilities

Develop and execute plans for the analysis & integration of multi‑modal data, such as clinical, molecular, digital health 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 research questions. Remain current on the constantly evolving landscape of Alzheimer’s disease and the use of omics, RWE data, and AI/ML to derive biological insights that could accelerate and prioritize drug discovery.

Qualifications

PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field, completed within the past 3 years. Extensive hands‑on expertise in analyzing and integrating multimodal data, such as clinical, molecular, digital health and imaging data from patient cohorts. Proficiency in R, Python, or similar programming languages. Proven track record of scientific contributions in this field with first‑author publications. Ability to clearly communicate technical work to a diverse audience. Background and experience working in neurodegeneration, and particularly Alzheimer’s disease, is preferred. Experience analyzing multi‑omics data is preferred. Familiarity with machine learning and state‑of‑the‑art AI methodologies is preferred.

Additional Information This position is part of our Career Program within the Post Doc – Data Analytics & Computational Sciences sub‑function. The role is open under requisition numbers R‑056279 (BE/CH), R‑056680 (UK), and R‑056694 (US). #J-18808-Ljbffr