Data Scientist, SKAI – Temporary in Parma, Italy

Data Scientist, SKAI – Temporary

Date: 14 Nov 2024

Department: Strategy, Sustainability & Growth

Team: R&D, Pharmacovigilance & Regulatory Affairs

Job Type: Direct Employee

Contract Type: Temporary

Location:

Parma, IT

About us

Based in Parma, Italy, Chiesi is an international research-focused pharmaceutical and healthcare group with over 85 years’ experience, operating in 31 countries with more than 7,000 employees (Chiesi Group). To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group researches, develops and markets innovative drugs in its main therapeutic areas:Discover more here (https://www.chiesi.com/en/main-areas/)

We are proud to to have been awarded with B Corp Certification , a recognition of high social and environmental standards . We are a reliable company that adopts and promotes a transparent and ethical behavior at all levels.

We believe that the success of Chiesi is built and shaped by our people and our strong set of shared Values and Behaviors . Our people make a critical difference to our success, which is why it is vital that we attract and retain the right talent who will continue to enrich our culture by living and breathing our values and behaviors.

We are committed to embrace diversity, inclusion and equal opportunities. In fact, we are a global family made up of different cultures, different genders, generations, ethnicities, abilities, sexual identities and many other enriching diversities.

Chiesi Corporate Functions

These are the functions supporting the business:

• Global HR

• Global Finance, Procurement & IT

• Group Legal & Corporate Affairs

• Global Communication & External Relations

• Transformation

• Global Strategy, Sustainability and Growth (SSG)

Who we are looking for

Purpose

The Data Scientist will support the development and implementation of digital and technological solutions for SKAI, focusing on data analytics, predictive modeling, and data-driven decision-making. She/He will collaborate with the SKAI – Scientific Knowledge unit to analyze and interpret complex data, generating actionable insights that guide business strategy. Additionally, the role involves supporting the operational implementation of digital solutions, facilitating access to external data, and staying current with emerging digital trends to share knowledge across the Company.

Main Responsibilities

In coordination with the Head of Scenario Planning and insight & Digital solutions unit ensures the effective development and management of digital solutions to sustain the research and analysis of data with the application of advance Artificial Intelligence or Machine Learning.

She/he is responsible for:

• To translate data into knowledge and generating insights trough:

• Development of Natural Language Processing workflows for data analysis and visualization;

• Using API and internal Data Integration to support the generation and application of a scientific Data Models;

• Scouting and implementing new digital technology solutions for information management;

• Generation of predictive Machine Learning models;

• Contribute to Develop artifacts such as data domains, and conceptual data models (e.g. ontologies) together with various stakeholders to ensure quality, interoperability, and consistency of data.

• To collaborate with Scientific Knowledge or subject matter expert from other functions understand need identification, mapping of possible solutions and implementation for value generation.

• Staying up-to-date and contributing, with technical experts, to evaluate, when and were required, the best-in-class AI/ML and data analysis environments to accelerate the development and implementation of effective analytics and predictive capabilities in relation to SKAI activities.

• By working closely with subject matter experts and other stakeholders, the data scientist can ensure that data insights are effectively translated into actionable strategies. This collaboration fosters a data-driven culture within the organization and promotes continuous learning and improvement.

• To connect closely with business and GICT stakeholders to proactively identify and address requirements, risks, dependencies and potential issues.

• In collaboration with Global Outsourcing Management and Global Procurement, contributing to the selection and management of the relevant vendors providing digital and technological services/tools.

• To collaborate and share best practices and way to improve knowledge and processes with SKAI and SSG unit

Experience Required

Preferably 1 year of experience in a pharma company, particularly in Scientific/External data and information management and analysis

Education

Master’s degree in a Scientific discipline such as Data Science, Business Informatics, Informatics, Informatics Engineering or equivalent

Languages

Fluent English

Technical Skills

• Excellent knowledge of Data Science with particular focus machine learning and artificial intelligence systems, data mining & text mining, business process modelling and visual analytics.

• Excellent knowledge of Data Science tools, coding, script language and High-level programming language (e.g. Python)

• Good Knowledge of sources, tools, and databases for the retrieval of Scientific and Competitive intelligence information

• Good Knowledge of statistics

Soft Skills

• Team working

• Quality orientation

• Planning and organizational skills

• Attention to details

What we offer

You would join a dynamic, fast-growing, challenging and friendly environment.

In Chiesi we firmly believe that our people are our most valuable asset , that is why we invest in continuous training, learning and development. Therefore, we strive to continuously promote and satisfy development needs, paying particular attention to the quality of our working environment and to collective well-being.

We want our people to come to work happy every day , and we know how important it is to find the right work-life balance in order to be able to give our best. That is why we offer flexible working approach, remote working, support in the relocation process, tax assistance service for foreign colleagues and many other people-care services.

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