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:

Career Programs

Job Sub Function:

Post Doc – Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

Postdoctoral researcher Omics, R&D 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 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  Postdoctoral researcher Omics to join our team. 

 

This position's preferred working location is Beerse, Belgium. Alternative locations such as Cambridge, MA; Spring House, PA United States of America can be considered.  

 

Key Responsibilities 

• Develop and execute plans for the analysis & integration of multi-omics data from patient cohorts and disease models focused on neurodegeneration, particularly Alzheimer’s disease, to enable the data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers 

• Partner closely with discovery scientists to ensure purposeful interrogation of human omics datasets and translation of data-derived hypotheses into 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 neuroscience, omics, bioinformatics and AI/ML research in search of innovative approaches to derive biological insights that could accelerate and prioritize neuroscience 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 deriving insights from high-dimensional molecular data, particularly single-cell RNA seq and fluid proteomics 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 is required.   

• Ability to clearly communicate technical work to a diverse audience is required.   

• Background and experience working in Neurodegeneration is strongly preferred.   

• Familiarity with machine learning and innovative 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,, Belgium or Cambridge, MA, Spring House, PA, United States of America. The job may require approximately 10% travel domestic and international.   

 

   

 

#LI-MV2

 

 

Required Skills:

 

 

Preferred Skills: