Job description
Each day you'll enjoy a variety of challenges, such as:
- Drive implementation of innovative computational methods and techniques for identifying novel pain pathway and target insights, translational biomarkers and patient stratification
- Deliver data analytic platform to integrate single cell multiomicsfunctional genomics, patient-level data leveraging AI/ML/DL techniques to identify novel drug targets in pain
- Correlate genomic data (human genetics and functional genomic datasets) against clinical/patient phenotypic data to discover novel pain disease insights and biomarkers for response/resistance to therapy
- Present and communicate key findings to relevant stakeholders to enable data-driven decision making across research pipeline.
- Ensure findings from computational biology work are appropriately incorporated into the asset strategies and more specifically into clinical translation and early clinical development plan (CDP) for the asset
- Initiate, design and establish external collaborations anchored in in silico biologys to inform target selection, efficacy/safety assessment and de-risking of assets
- Be responsible to integrate other efforts within our research group focused on human cell-based models and systems biology
To make the most of this role and truly thrive, you should have:
- PhD in computational biology/bioinformatics/systems biology with either postdoctoral or relevant industry experience
- Proven experience in applying computational tools and techniques to drug development, including designing successful omics strategies for drug translation
- Track record of peer-reviewed publications that apply ML/DL/AI methods and biological interpretation to single cell multiomics and omics data sets
- Demonstrated recent ability to design and lead human omics studies (with a variety of study designs) delivering novel and actionable findings with measurable impact on R&D pipeline (e.g. generated novel targets/projects that advanced to clinical stage, identification of biomarkers used in pre/clinical settings)
- Proven expertise in working with multiple omics data sets at bulk and single cell resolution
- Expert in programming with R and/or Python
- Broad experience in training and evaluating machine learning models leveraging frameworks such as Tensorflow, Keras, Pytorch
- Prior experience with high performance computing environments and cloud technology
- In depth knowledge of various external databases employed in omics & systems biology research to be able to explore their applicability for Grunenthal portfolio
- Fluent business English language skills in speaking and writing, German language skills beneficial
- Broad international & intercultural working experience
- Hybrid working model
- Bilingual daycare centre "Karlinis" and holiday activities for employees' children
- 30 holidays, plus 6-8 bridging days and possibility to convert salary into up to 5 additional holidays
- (E-) Bike leasing and e-charging stations
"Our team’s eclectic blend of expertise, ranging from bioinformatics and genetics to artificial intelligence, complemented by disease knowledge, helps us solve complex biological problems through state-of-the-art computational techniques. We invite applications from motivated candidates who want to pursue cutting-edge research at the interface of data science and translational research to help us create a world free of pain."
Kumar Chanchal, the Hiring Manager
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