Functional genomics for drug discovery: Mode of Action & Biomarkers focus
This is a great opportunity for a talented and driven individual to join a global computational biology and digital sciences team looking to turn data into insights for the discovery and evaluation of new therapeutic concepts in Discovery Research.
We are seeking scientists with an aspiration to advance their knowledge and understanding in statistical genetics, genomics or data science. This role will be a cornerstone of our emerging human genetics team with unique access to human genetics data modalities and functional genomics support to validate your research. You will be part of a developing and exciting multi-disciplinary research department and encouraged to contribute to shaping our concepts on the analysis of large-scale human genetic data with the goal of providing novel disease insight.
Tasks & responsibilities
*The aim of this job will be exploring the MoA associated with disease related genetic variants, either at molecular level through QTLs or at outcome level, and the identification of biomarker classes through innovative computational methods to analyze and integrate multiscale omics data.
*Lead translational research efforts to uncover biomarkers of disease heterogeneity and cohort stratification. Further complement these findings with disease understanding through advanced statistical analysis/association of genetic/genomic multivariate datasets
*Prototype workflows as needed for relevant data-types. Further interact with vendors to develop production versions
*Work closely within genetics team to develop classification tools for complex data patterns for intuitive patient stratification
*Work in in a fast paced changing environment interacting with data scientists, external partners and wetlab scientists to integrate novel findings for new target identification and prioritization of our portfolio
*Communicate clearly and effectively in verbal, visual, and written form to stakeholders with varying levels of technical knowledge.
*PhD in Statistical Genetics, Bioinformatics, Computational Biology, Statistics or related fields
*Preferred three or more years of experience in the Pharmaceuticals sector and versed in state of the art biomarker technologies/omics platforms
*Experience in integrating and analyzing large-scale patient "omics" data, e.g. transcriptomics, proteomics, metabolomics etc, sets to identify new indications, endpoints, and responsive patient sub-populations. Experiences with single cell protocols and workflows is a plus.
*Demonstrated experience in biomarker subject matter and preferred experience in clinical drug development is beneficial, including basic or advanced understanding of critical development functions
*Ability to translate biological and medical questions into analytical models providing actionable results working within a Cross-functional team. the biologic interpretation of human genetic data
*Extensive background in statistical computing or bioinformatics, with experience in relevant programming languages (e.g. R, Python).
*Strong written and oral communication skills, self-motivation, independence and leadership
This is a highly challenging role offering a competitive remuneration package and some great benefits.
Please do not hesitate to contact Harvey Uppal at firstname.lastname@example.org or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Human, Genetics, Functional, Genomics, Biomarkers, Validation, Discovery, Omics, Analysis, Wet, Dry, Proteomics, Expression, RNA, Computational, Biology, Pharma, Germany.
You MUST be eligible to work in Germany. Learn more
- Agency: Paramount Recruitment
- Reference: HUMGENBI
- Posted: 1st October 2020
- Expires: 29th October 2020