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Job Function:

Career Programs

Job Sub Function:

Post Doc – Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

Postdoctoral Researcher Multimodal Data Integration, R&D Neuroscience Data Science & Digital Health

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

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.

We are seeking a Postdoctoral Researcher 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), Zug (Switzerland), or Cambrigde/Spring House (US)

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):

BE/CH - R-056279

UK - R-056680

US – R-056694

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 the research questions.
• Remain current on the constantly 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.

Qualifications

• · 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 data, such as clinical, molecular, digital health and imaging data from patient cohorts 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 multi-omics 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 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 Beerse (Antwerp, Belgium), High Wycombe (United Kingdom), Zug (Switzerland) or Cambridge/Spring House (US)

The job may require approximately 10% travel domestic and international.

Required Skills: Preferred Skills:The anticipated base pay range for this position is :

Additional Description for Pay Transparency: