Senior Scientist, Omics - R&D Data Science & Digital Health - Neuroscience - Beerse, BE
Role details
Job location
Tech stack
Job description
Our Neuroscience Data Science & Digital Health (NS DSDH) 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 Senior Scientist, Omics to join our NS DSDH team focused on Neuropsychiatry and/or Neurodegeneration. In this role, you will contribute to our precision neuroscience strategy by contributing to projects that bring to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular signatures (genetics, gene expression, proteomics) to disease stage and progression, mechanisms of action, and disease endophenotypes.
You will be part of a cross-functional team of data science leaders and partner closely with the Neuroscience Therapeutic Area, Quantitative Sciences, and Discovery Product Development and Supply (DPDS).
This position offers the opportunity to transform how we understand disease biology, identify novel targets, stratify patients, and deliver better outcomes for people living with neuropsychiatric and neurodegenerative disorders., * Implement innovative data science projects to uncover novel therapeutic targets, optimize patient stratification, and identify precision biomarkers by deriving insights from multi-omics data linked to brain biology and neuropsychiatric/neurodegenerative disease mechanisms
- Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to support the precision neuroscience strategy for programs in the Neuropsychiatry/Neurodegeneration portfolio
- Remain current on the constantly evolving landscape of neuroscience, neurodegeneration, and neuropsychiatry, omics, bioinformatics and AI/ML research in search of better approaches for accelerating and prioritizing our portfolio based on biological insights.
- Build strong relationships with internal partners and key academic collaborators, and consortia to position the company at the forefront of data-driven neuroscience.
Requirements
Do you have a Doctoral degree?, * PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required.
- Experience working hands-on deriving insights from high-dimensional molecular data - particularly genetic (GWAS, WGS), RNAseq, proteomics and/or single-cell data is required.
- Proficiency in R, Python, or similar programming languages is required.
- Experience translating data into executable action plans is required.
- Ability to clearly communicate technical work to a diverse audience is required.
- Proven track record of scientific contributions in this field with first author publications in high-impact journals is strongly preferred.
- Background and experience working in Neuropsychiatry/Neurodegeneration is preferred.
- Experience in applying data-driven methods in the context of target discovery and validation, translational science and/or patient stratification is preferred.
- Familiarity with machine learning and innovative AI methodologies is preferred.
- Up to approximately 10% yearly travel is required (International, Domestic), Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
