Pharma - Germany
The global Computational Biology and Digital Sciences (gCBDS) department is engaged in target discovery research and the application of innovative methods to resolve causative factors in disease progression. In your new role you lead computational projects in a multi-disciplinary environment for our Research Beyond Borders (RBB) department.
RBB is a therapeutic area which focuses on developing innovative technologies to drive novel drug discovery projects forward. These technologies have a strong computational biology component that includes pipeline development, advanced data analysis and implementation of novel visualization methods and tools. Examples of such technologies include gene therapy and indication expansion.
In addition, you act as key contact to multiple RBB research groups with the goal of furthering disease related new therapeutic concepts from large-scale multi-omics datasets.
Tasks and Responsibilities:
*In your new role, you are responsible for specific projects in gCBDS and cooperate closely with members of RBB.
*You work with multiple omics data, including transcriptomics (RNAseq, scRNAseq), proteomics and genomics datasets, while operating automated standard analysis pipelines with Linux-based local HPC and cloud-based environments.
*The work with queuing- and modern pipelining systems (e.g. Nextflow) is also part of your new profile.
*With your expertise, you are the interface between the therapeutic area and the NGS laboratory and you are responsible for the definition, coordination and implementation of strategies for ongoing projects.
*Furthermore, you undertake extensive data analysis for the generation and testing of hypothesis in the context of new therapeutic concepts in cooperation with other members of the Computational Biology group or scientists from RBB.
*PhD in bioinformatics, computational biology or systems biology research, alternatively master´s degree in this field with longtime professional experience in an international industry environment
*Extensive experience in multi-omics data analysis, network biology, data-integration and RNA-Seq / single cell RNA-Seq
*Advanced knowledge of statistical data analysis methods including machine learning modelling and network analysis methods
*Knowledge in R / Bioconductor (preferred) or Python
*Experience with version control systems (e.g. git/bitbucket) with a focus on well-documented and reproducible analyses
*Team player with excellent communication skills and innovative thinking
This is a highly challenging, collaborative role offering a competitive remuneration package and some great benefits such as life insurance, pension, bonus scheme and relocation allowance.
Please do not hesitate to contact Harvey Uppal at firstname.lastname@example.org or call (+44) 7824 426033 to discuss this opportunity further.
Keywords: Principal, Scientist, Computational, Biology, Target, Discovery, Biomarker, Pharma, Cell, Gene, Therapy, RBB, Therapeutic, RNA, Single, Cell, Genomics, Bioinformatics, HPC, Python, Nextflow, Human, Version, Control, Germany.
You MUST be eligible to work in Germany. Learn more
- Agency: Paramount Recruitment
- Reference: PSRBBBI
Website: Paramount Recruitment
- Posted: 26th August 2021
- Expires: 23rd September 2021