Clinical Bioinformatician

About the role

To support generation of insights for clinical assets
through understanding of mode of action and treatment effects as seen in
patient-level molecular data.

What you’ll do

·       With minimal guidance of senior staff,
processes, analyzes and interprets data from omics studies for assets in the
clinical portfolio, to refine understanding of biological mechanisms, disease
pathobiology, characterise treatment effect, safety signals and other relevant
insights.

·       Develops approaches, methods, analysis
pipelines utilizing state-of-the-art tools and technologies to enable the
above.

·       Documents code, analyses and ensure
reproducibility of results according to best practices suited to patient-level
data

·       Draft reports detailing methods and results
that require minimal revision.  Drafts /
contributes to scientific publications that present the results of these
analyses (conference abstracts/presentations and manuscripts).

Requirements

·       Master/PhD with at
least 5 years of experience, preferably with industry experience.

·       Expertise in pre-processing, integration and
analysis of different omics data types, in particular extensive experience
analysing large bulk and single-cell RNAseq datasets from complex studies, and experience
deriving relevant biological insights from these. Experience with spatial data,
epigenomics and proteomics is an advantage.

·       Expertise in the development and application
of methods pertinent for functional interpretation of omics data e.g. pathway
enrichment, functional module detection, causal reasoning.

·       Experience
analyzing and deriving insights using large omics datasets from clinical trials
and relating omics data results to clinical variables is a plus.

·       Excellent computational skills, such as experience
of operating in a HPC Unix environment, cloud-based computational and/or
pipelining platforms, and containerization technologies (e.g., Docker) for
reproducible and portable bioinformatics workflows. Experience using DNAnexus
is a plus.

·       Proficiency using R in particular, and also
other programming languages common to the bioinformatics community. Ability to document
code and follow coding best practices, in particular suited to patient-level
data, to ensure reproducibility of results.

·       Good understanding of statistics, data
mining, and visualization of biological data types and the standard tools used
in these domains.

·       Ability to interpret and communicate
efficiently (orally and with reports) the outcomes of analytical work to both
expert and non-expert scientific audience to foster efficient decision-making. Preferably experience in authoring scientific publications.