Data Scientist - Milano, Italia - Human Technopole

Human Technopole

Azienda verificata

Milano, Italia

2 settimane fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

APPLICATION CLOSING DATE:
January 8th 2023

The Human Technopole Foundation (HT) is an interdisciplinary research institute created and supported by the Italian government, whose aim is to develop innovative strategies to promote human health and aging through a multidisciplinary and integrated approach, combining genomics, computational and structural biology and neuroscience, as well as data and decisions sciences.

The Health Data Science Centre at HT, in partnership with Politecnico di Milano, is developing several lines of research, with the aim to help deliver a step-change in health data science in Italy.

The Centre's mission is to systematically generate, mobilize, and harvest "big data" allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioral and environmental determinants of non-communicable diseases, for both patient and public benefit.

Within the Health Data Science Centre, the
Integrative Data Analysis Unit is** a state-of-the-art team dedicated to support analysis of large volumes of _multi-omic_ data from human populations and to perform integrative bioinformatics analysis and interpretation in relation to clinical data.

The Unit integrates a variety of processed molecular and clinical data types, with a particular focus on using genetics as an instrument to understand the molecular pathways from DNA to gene expression to protein.

Ultimately, we aim to identify therapeutic targets of drugs that have high efficacy and low toxicity.

We are looking to recruit a
Data Scientist in Machine Learning Based Prediction Using Multi-Source Data.

(S)He will have the following main responsibilities:

Integrate different layers of _-omics_ data with molecular layers that take account for both sequence and structure of the genome to understand genetic signals associated to complex disease;
Make use of (implement, modify _adhoc_) the latest generation of machine learning tools such as deep neural networks which can predict alleledependent effects on multiple regulatory features (e.g. ENFORMER), and build on the approaches that provide maximum power to identify disease genes and predict disease risk in diverse populations;
Identify molecular features important for genetic disease associations and important for drug targets success in clinical studies;
Develop userfriendly software tools that will be shared with the community to help advance the medical field;
Working with colleagues in the Health Data Science Centre at HT and international collaborators from largescale consortia to help interpret and metaanalyse findings, and to develop and implement methodologically appropriate analysis strategies for planned investigations;

S(he) should have an open mind and creative approach to problem-solving, and be motivated by learning the genetic contribution of molecular phenotypes to complex diseases ultimately important for developing effective therapies.

Essential

Proven experience (scientific publications, github page or equivalent work experience) in performing analyses using machine learning classifier algorithms;
Experience of statistical or other programming languages (preferably R) to manipulate largescale datasets with genetic/molecular information (excellent data management and analysis skills);

Fluency in English

HT is an international research institute.

Advantageous

Experience working with genomic data from different modalities (DNA sequencing, RNAseq, proteomics, DNA accessibility assays, etc.)
Experience in a HPC environment.

Organizational and social skills

Ability to work accurately, with attention to detail;
Selfmotivated, able to work independently and organize own workload;
Highlevel report writing and presentation skills;
Good communication skills;
Good team player.

Application Instructions:

CV
A motivation letter in English
Names and contacts of 2 referees

Additional information

HT offers a highly collaborative, international culture to foster top quality, interdisciplinary research by promoting a vibrant environment consisting of independent research groups with access to outstanding graduate students, postdoctoral fellows and core facilities.

HT is an inclusive employer that fosters diversity and engages systematically to ensure that equal employment opportunities are provided without regard to age, race, creed, religion, sex, disability, medical condition, sexual orientation, gender identity or expression, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws.

Number of positions offered: 1

Contract offered:
CCNL Chimico Farmaceutico, fixed-term, Employee level

The role is based in Milan.