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

Antwerp - Belgium

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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Career Programs

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Post Doc Data Analytics & Computational Sciences

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Beerse Antwerp Belgium Zug Switzerland

Job Description:

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

Ourexpertisein 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 Neuroscience Data Science & Digital Health team integrates the power of multi-omics digital healthtechnologiesand 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 aPostdoctoral Researcher Omics & Multimodal Data Integration to join ourteam with a specific focus on Alzheimers disease.

This position canbe located ineither Beerse (Antwerp Belgium) High Wycombe (United Kingdom) or Cambridge-MA/Spring House-PA (United States of America)

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 orall ofthe postings we recommend focusing on the specific country(s) that align with your preferred location(s):

UK - Requisition Number: R-056680

Key Responsibilities

Develop and execute plans for the analysis & integration of multi-omics and other data modalities such as electronic health records and imaging data from Alzheimers 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 Alzheimers disease and the use of omicsRWE 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 ora related fieldcompleted within the past 3 years isrequired.
Extensive hands-on expertise in analyzing and integrating multimodal omics data from patient cohorts and preclinical models isrequired.
Proficiencyin R Python or similar programming languages isrequired.
Proventrack recordof scientific contributions in this field with first author publications isrequired.
Abilityto clearly communicate technical work to a diverse audience isrequired.
Background and experience working in Neurodegeneration and particularly Alzheimers diseaseis 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 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) Cambridge-MA/Spring House-PA (United States of America) or Zug (Switzerland).

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

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