Lead Bioinformatician

Company Overview

Chiesi Farmaceutici S.p.A. is a leading international research-focused pharmaceutical and healthcare group with over 85 years' experience, operating in 31 countries with more than 7,000 employees. We are dedicated to improving people's quality of life by acting responsibly towards society and the environment.

We believe that our success is built and shaped by our people and our strong set of shared Values and Behaviors. Our team represents a fundamental asset for the business, divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D project and portfolio management.

Job Description

As a Bioinformatics Lead, you will be part of the PPM & R&D Digital Strategy and Execution Support Unit within R&D Project & Portfolio Management organization at Chiesi. Your main responsibilities will include:

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2. Providing bioinformatic expertise to address a wide variety of biological questions by analyzing and interpreting data, generating reports and building systematic internal data repositories.">
3. Conducting omics analyses towards target identification and drug mode of action characterization with emphasis on transcriptomic (scRNA-seq), genomic (WGS, WES), and proteomic (MS, Olink) data, to be connected with patient strata and clinical data.">
4. Designing, building and monitoring analysis pipelines of molecular data and omic data (e.g. Nextflow / Snakemake) using cloud computing solutions (AWS, Azure) and code repositories (e.g. Gitlab).">
5. Performing initial quality control checks (pre-processing and cleaning) and downstream analysis on data coming from -omics studies.">
6. Performing multi-omic data integration approaches, network analysis, and pathway-level statistical analysis to generate new hypotheses and collaborate with scientists on data mining and guiding experimental design.">
7. Collecting, QC and homogenizing public data sets towards their analysis and integration with internally-generated data, provide input to systematic multi-omic data repository creation and management towards drug repositioning.">
8. Coordinating and overseeing data analysis with external service providers.">

Requirements

The ideal candidate should have a PhD in bioinformatics and/or computational biology, with a strong biological/medical background, and minimum of 5 years' post-graduate experience. Additionally, they should have proficiency in analyzing NGS and single-cell analysis and subcellular analysis and other 'omics' data using statistical programming languages (e.g., R/Bioconductor, Python, etc.). The candidate should also have demonstrated track record of applying bioinformatic analysis, including machine learning techniques and network biology, to integrate and analyze omic and clinical data, preferably within respiratory drug development.

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