Postdoctoral researcher Omics, R&D Data Science & Digital Health
About The Position
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 location is Beerse, Belgium. Alternative locations such as either Cambridge, MA; Spring House, PA United States of America can be considered 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): Beerse, Belgium - Requisition Number: R-052122
Requirements
- 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.
Nice To Haves
- Background and experience working in Neurodegeneration is strongly preferred.
- Familiarity with machine learning and innovative AI methodologies is preferred.
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.
Benefits
- Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
