Senior Scientist Oncology R&d

hace 2 semanas


Barcelona, España Morgan Philips Executive Search A tiempo completo

Important Pharmaceutical company is looking for Senior Scientist Oncology R&D

**Main Duties and Responsibilities**:
**Areas of focus in Oncology**: immuno-oncology, DNA damage response (DDR), tumour drivers & resistance, epigenetics, cell therapies and antibody-drug conjugates.

You will work as part of our DNA Damage Response project teams to characterise the genomic landscape of patients on our clinical trials and define novel markers of response & resistance.

You will work on ctDNA data from patients upon progression in our clinical trials to understand the landscape of resistant mechanisms.

You will analyse RWE datasets (Tempus, Flatiron) to derive clinically actionable insights and nominate novel biomarkers to support clinical drug projects.

You will work as part of our DDR project science teams to contribute to the progression of new medicines toward and through the clinic, using data from clinical trials in combination with preclinical models (e.g. our CRISPR/functional genomics screening centre, PDXs, cell line models).

You will work with external partners to evaluate and develop clinical assays to be used for selection of patients in our clinical trials.

Generate actionable biological insight from genomic data.

Discover and develop new molecular target, mechanism and biomarker hypotheses.

Link multi-omic data sets from patients and in vitro/vivo models.

Integrate and interpret proprietary and public data spanning multiple platforms.

You will proactively engage in knowledge sharing and peer support, including training our bench science community to build expertise in the tools critical to Oncology bioinformatics.

Build and steer development of small prototype tools for bench scientists to access and visualise project data.

Collaborate with industry and academia, and utilise external resources, to find the most effective solutions to our drug discovery problems.

Publish your work in high impact journals.

**Minimum requirements**:
Relevant PhD (or equivalent graduate degree plus proven applied experience), combining: a deep understanding of the genetics/genomics of cancer and technical expertise in either bioinformatics, computational biology, biostatistics, mathematical modelling, data science or knowledge engineering.

Expertise in the analysis of genomic data (WES, targeted panels, WGS) covering QC, handling, processing & interpretation.

Expertise in querying, mining and interpreting cancer variants from public resources (TCGA, MSK-IMPACT).

Expertise in differential gene expression analysis and pathway enrichment tools.

Knowledge of statistical principles applicable to cancer biology.

Knowledge of cancer genetics and/or the DNA damage response.

R and/or Python programming and visualisation expertise.

Skilled in effective communication of complex data to a non-expert.



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