72 Posti di lavoro per Senior Scientist in Italia
Medical & Scientific Affairs Senior Scientist Italy
Lavoro visualizzato
Descrizione Del Lavoro
Hello. We're Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we're improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What's more, we're achieving it in a company that we're in control of. In an environment that we're co-creating. And a culture that's uniquely ours. Care to join us. It isn't a question.
With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we're uniquely placed to do this and to grow a strong, successful business.
This is an exciting time to join us and help shape the future. It's an opportunity to be part of something special.
About The Role
The purpose of this role is to lead the delivery of Medical & Scientific Affairs (M&SA) excellence and provide dynamic leadership within the Southern Europe BU R&D organization by supporting product maintenance/stewardship and innovation through effective deployment of M&SA resources and Medical Compliance/Governance standards across Haleon's business.
This role will work closely with the SE BU M&SA Lead to establish and execute the local M&SA strategy and ensure delivery of short term and long-term medical goals and objectives.
This position will work closely with the SE M&SA Lead to ensure delivery of annual local medical goals and objectives. The M&SA Senior Scientist incorporates strong strategic and operational capabilities, including managing the medical and scientific activities for local portfolio to meet consumer expectations. These include review of promotional materials, claims innovation, product medical information, new data generation, innovation, and regulatory interactions.
In addition, the M&SA Senior Scientist will ensure the local team builds and
manages the medical and scientific ecosystem by actively engaging with external groups and individuals, such as External Experts, Government Agencies, Boards of Health, Health Care Practitioners, and Health Care Organizations.
To ensure alignment in meeting the commercial and scientific objectives for the product portfolio, the M&SA Senior Scientist must form collegial and collaborative relationships with cross-functional colleagues within Haleon including GSM Leads, EMEA-LATAM R&D colleagues and Local commercial & Innovation Leads among other functions as R&D functions and external stakeholders.
Key Responsibilities
- Provide technical and operational support to the SE BU M&SA team with oversight of the M&SA Lead
- Develop and provide scientific input in new business development opportunities, regulatory submissions and other business challenges e.g. benefit risk evaluations, medical assessments (including innovations for local stars, claims innovation, promotional material review, Medical Information, Pharmacovigilance, and partner with clinical development) to ensure best practice achievement of business objectives.
- With oversight from Medical Affairs Lead, drive medical communication and publication strategy in alignment with assigned therapeutic categories (ie. VMS, Pain, Respiratory, Oral care). Drive effective collaboration between R&D, Governance and Commercial functions;
- Interact and understand the external environment to be up to date on the latest science related to the categories
- Interact with external expert for science exchange and gaining new insights. Actively Monitor and engage with the external environment (external experts, agencies, societies, and organizations) to be a credible ambassador for Haleon, to help inform Haleon activities and to help achieve business objectives
- Based on clinical data and published literature, propose new claims for Haleon products with a special focus on local stars and drive profit brands and in collaboration with the respective therapeutic category (for global Brands)
- Support defense of Haleon products from challenges from competitors and provide medical substantiation support to challenge competitors' claims
- Manage medical innovation and product stewardship activities and provide medical contributions for Risk assessments and Safety Labelling events as needed
- Support in simplification and drive effective ways of working across the area of influence
Success in this role, through collaboration with category Medical & Scientific Affairs, SE BU R&D colleagues, other regional R&D functions and Senior business colleagues, will ensure effective and consistent application of medical support and Governance in all relevant Haleon activities to help achievement business objectives.
Qualifications And Skills
- Degree in Biomedical Science (may be acceptable)
- Minimum of 5 years' experience in pharmaceuticals industry, preferably in a OTC/Consumer Healthcare FMCG Industry of International repute, with broad experience in Medical & Scientific Affairs. With a successful track record of product responsibility through the commercialization process.
- Knowledge and understanding of consumer needs and attitudes, customer groups, and opinion leaders.
- Medical & Scientific Affairs with strong business acumen.
- Experience in clinical development would be a plus.
- Medical Leadership with scientific rigor
- Innovative, creative, and strategic thinking
- Enable and drive change
- Customer Driven
- Strong leadership skills
- English for business level
- Excellent communication skills
- Developing People
- Building relationships
- Teamwork & Collaboration
Please save a copy of the job description, as this may be helpful to refer to once the advert closes.
Diversity, Equity and Inclusion
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone.
We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Care to join us. Find out what life at Haleon is really like
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Accommodation Requests
If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We'll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.
Lavoro non più disponibile
Questa posizione non è più disponibile su WhatJobs. Il datore di lavoro potrebbe aver esaminato le candidature, aver assegnato la posizione o aver rimosso l'annuncio.
Tuttavia, di seguito sono disponibili lavori simili per te.
SENIOR SCIENTIST HPLC | Provincia di Bologna
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Overview
Join to apply for the SENIOR SCIENTIST HPLC | Provincia di Bologna role at Biopharmed .
Biopharmed è l’agenzia di head hunting progettata per la ricerca e selezione di profili tecnici e specialistici del mondo Life Sciences & Chemical .
Posizione
Ricerchiamo un Senior Scientist per importante realtà nel mondo farmaceutico.
- Sviluppo e convalida di metodi cromatografici per il controllo di API e intermedi.
- Interazione con chimici di processo per analisi di input materials, definizione dei requisiti di accuratezza e precisione, supporto alle sintesi in trial e scale‑up.
- Esecuzione autonoma di analisi e generazione di report.
- Risoluzione di problemi su sistemi cromatografici.
- Punto di riferimento per gli aspetti analitici nei progetti assegnati.
- Circa 2 anni di esperienza in ruolo analogo.
- Solida esperienza in HPLC e GC.
- Competenza nello sviluppo e validazione metodi analitici.
- Capacità di troubleshooting.
- Competenze comunicative eccellenti, sia in italiano che in inglese.
- Attitudine alla collaborazione e al lavoro in team.
- Conoscenza di NMR, UV/Vis, FT-IR, Raman.
- Conoscenza delle Tecniche di stato solido: XRPD, DSC, TGA. Familiarità con ambiente GMP.
Sede: Provincia di Bologna.
Dettagli ruolo- Seniority level : Mid-Senior level
- Employment type : Full-time
- Job function : Research, Analyst, and Information Technology
- Industries : Staffing and Recruiting
Referrals increase your chances of interviewing at Biopharmed.
Get notified about new Senior Scientist jobs in Bologna, Emilia-Romagna, Italy .
#J-18808-LjbffrR&D Product Development Senior Scientist
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries / territories around the world. To learn more, visit
Position Purpose
As part of the EMEA R&D team, the Senior Scientist mission is to develop new packaging materials by designing new formulations and exploring new extrusion, converting and printing processes with the aim of fulfilling the critical customer requirements and the desired sustainability claims. The Senior Scientist will work within a team of 8 process engineers, will partner with a team of skilled technicians and will work side by side with the R&D Applications team and the R&D Analytical team.
Why do we need you?
- With your technical skills, your chemical and polymer knowledge and hands-on attitude you can innovate and design new packaging materials.
- Your expertise allows you to engage resin suppliers and select the newly released grades suitable for the process you are targeting for the next development.
- You run extrusion trials on our R&D pilot lines together with the technician team members.
- You are able to industrialize newly developed products on industrial extrusion lines placed across our European facilities partnering with the local process engineers.
- You can innovate and generate Intellectual Property opportunities on new formulations, new extrusion processes & technologies, new packaging concepts & methods.
- You make your contribution to delivering profitable growth across the relevant product lines generated by the new product launch.
- You are able to help the production facilities by debugging lines and solving manufacturing problems on existing products.
- You liaise with our internal engineering team.
You engage with sustainability experts with the aim of designing products compliant with the upcoming PPWR regulations.
Core Competencies & Values
Qualifications :
- University degree in Chemistry, Chemical Engineering, Material Engineering or Mechanical Engineering.
- 5+ years work experience in manufacturing companies preferably in the packaging sector or in the extrusion equipment sector.
- Fluent English, second language (French, German or Spanish) would be a plus
- Willingness to travel, mostly in Europe but also in USA / Asia
- Ability to work effectively on projects with cross-functional and cross-cultural teams
- Project Management skills and attitude
- Leadership skills and ability to coordinate a team
What are our core values?
- Integrity
- Determined
- Innovative
- Collaborative
Requisition id : 51788
Relocation : No
Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.
Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at
#J-18808-LjbffrSenior Scientist, Foundation models for speech
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
About Translated
Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.
Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.
The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Large-scale Language Models for speech-related tasks. Additionally, they should be capable of coordinating technical, communication, and team activities for our Meetween project.
The project: MeetweenTranslated has just been awarded a grant on Meetween , a 7M€, 4-year collaborative research project started in January 2024, which Translated leads. Meetween uses LLMs and multimodal foundation models to enhance human communication.
The project is related to the following research areas: Deep Learning, Large Language and Multimodal models, Machine Translation, Automatic Speech Recognition and Translation, Summarization, AI Digital Assistants. The project offers the opportunity to collaborate with leading speech processing teams from both academia and industry.
With Meetween, we want to "solve speech" : we will build foundation models to model all 3 modalities of speech (text, audio, video including lip movement, facial expression and gestures) in a single architecture. Thanks to transfer learning and conditioning, this is used to implement many speech-related downstream tasks: ASR, zero-shot TTS and voice cloning, speech-to-speech translation, lip reading and lip resync, audio/video mutual reconstruction/enhancement.
We have secured an ambitious computing budget on the Polish HPC infrastructure with hundreds of thousands of A100-hours, in addition to our in-house compute infrastructure of several hundreds of GPUs.
For maximum impact, all research outcomes of Meetween, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace .
What You’ll DoYou will be part of a team of researchers dedicated to Meetween within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, Machine Translation, Speech Synthesis, privacy-preserving Machine Learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.
In this role, you will:
- work with data, compute and algorithms
- design of deep learning multimodal neural architectures
- design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
- monitor and benchmark the state of the art
- have the opportunity to give guidance to more junior team members such as PhD students and interns
- coordinate with our partners on our research roadmap
- adapt the project's pace to the rapid scientific development in our field
- organize publications and open-sourcing efforts
Requirements
- completed PhD or 4 years of industry research experience in a relevant field of deep learning, typically language modeling or speech recognition
- excellent programming skills: Pytorch
- familiarity with Docker and Unix OS, including running GPU experiments
- interest in carrying out experimental research
- relevant scientific publications, teaching and research experience
- experience in the industry of speech and language technology
- experience in coordinating a team of researchers
- excellent use of English
- you're strong in multi-GPU training, GPU training optimization
- you're a polyglot
- you have open-source contributions
- you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICML, ICASSP, Interspeech, ACL, EMNLP
Translated is hosted at Pi Campus, a working environment immersed in nature where 6 luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.
Benefits and Perks
- Gym
- Swimming Pool
- Kickboxing
- Water aerobics
- Fitness
- Pilates
- Table Tennis and Football table
- Kitchen and snacks
- Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.
At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.
What was the hardest piece of work you produced using neural networks? Have you implemented algorithms from recent publications?*
What's an important chapter we ought to have in the DVPS textbook "Principles and Practice of Multimodal Foundation Models"?*
#J-18808-LjbffrSenior Scientist, Foundation models for speech
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
1 year ago Be among the first 25 applicants
About Translated
Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.
About Translated
Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.
Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.
The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Large-scale Language Models for speech-related tasks. Additionally, they should be capable of coordinating technical, communication, and team activities for our Meetween project.
The project: Meetween
Translated has just been awarded a grant on Meetween, a 7M€, 4-year collaborative research project started in January 2024, which Translated leads. Meetween uses LLMs and multimodal foundation models to enhance human communication.
The project is related to the following research areas: Deep Learning, Large Language and Multimodal models, Machine Translation, Automatic Speech Recognition and Translation, Summarization, AI Digital Assistants. The project offers the opportunity to collaborate with leading speech processing teams from both academia and industry.
With Meetween, we want to "solve speech": we will build foundation models to model all 3 modalities of speech (text, audio, video including lip movement, facial expression and gestures) in a single architecture. Thanks to transfer learning and conditioning, this is used to implement many speech-related downstream tasks: ASR, zero-shot TTS and voice cloning, speech-to-speech translation, lip reading and lip resync, audio/video mutual reconstruction/enhancement.
We have secured an ambitious computing budget on the Polish HPC infrastructure with hundreds of thousands of A100-hours, in addition to our in-house compute infrastructure of several hundreds of GPUs.
For maximum impact, all research outcomes of Meetween, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.
What You’ll Do
You will be part of a team of researchers dedicated to Meetween within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, Machine Translation, Speech Synthesis, privacy-preserving Machine Learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.
In This Role, You Will
- work with data, compute and algorithms
- design of deep learning multimodal neural architectures
- design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
- monitor and benchmark the state of the art
- have the opportunity to give guidance to more junior team members such as PhD students and interns
- coordinate with our partners on our research roadmap
- adapt the project's pace to the rapid scientific development in our field
- organize publications and open-sourcing efforts
- completed PhD or 4 years of industry research experience in a relevant field of deep learning, typically language modeling or speech recognition
- excellent programming skills: Pytorch
- familiarity with Docker and Unix OS, including running GPU experiments
- interest in carrying out experimental research
- relevant scientific publications, teaching and research experience
- experience in the industry of speech and language technology
- experience in coordinating a team of researchers
- excellent use of English
- you're strong in multi-GPU training, GPU training optimization
- you're a polyglot
- you have open-source contributions
- you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICML, ICASSP, Interspeech, ACL, EMNLP
Translated is hosted at Pi Campus, a working environment immersed in nature where 6 luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.
Benefits and Perks
- Gym
- Swimming Pool
- Kickboxing
- Water aerobics
- Fitness
- Pilates
- Table Tennis and Football table
- Kitchen and snacks
- Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.
Privacy Policy Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- Industries Translation and Localization
Referrals increase your chances of interviewing at Translated by 2x
Sign in to set job alerts for “Senior Scientist” roles. Materials Associate Scientist (Fixed Term Contract) Junior/Senior/Lead Deep Learning ScientistGreater Rome Metropolitan Area 3 months ago
Senior Data Scientist | Big Data & Advanced Analytics (Milano-Roma) APPRENTICE - Operations Research Scientist for the Innovation Center for Optimization & AI SENIOR QUANTITATIVE ANALYST AND DATA SCIENTIST Lead/ Staff Data Scientist (Bangkok based, relocation provided) Lead DS (Data Scientist) Bangkok based, Relocation providedWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSenior Data Scientist
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Senior Data Scientist
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
Since 1972, Takeda has had two sites in Italy for producing plasma-derived drugs in Rieti and Pisa, supporting patients with rare and complex diseases. These sites focus on the production of therapies derived from immunoglobulins, albumin, and coagulation factors. As a partner of the National Health System, we transform plasma into life-saving drugs under the "National Self-Sufficiency of Blood and its Products" program. We provide high-quality drugs worldwide, with a strong presence in Europe, America, and Asia.
Across Italy and the world, Takeda is recognized as a Top Employer by the Top Employers Institute based on our commitment to career development, inclusion, learning, sustainability, wellness, and, most importantly, our values.
Join us to make a difference.
**About the role:**
As a Senior Data Scientist, you will manage and execute local data science initiatives to improve productivity not limited to data availability enhancement, process modeling using ML tools, digital twins. Identifies local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global Data Science.
**How you will contribute:**
+ Provide technical support to manufacturing processes, investigation, yield optimization, process monitoring and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving
+ Identify patterns, trends and anomalies in batch data providing valuable insights into process variability, process performance and product quality
+ Support and drive the Manufacturing Science department activities (i.e. yield improvement projects, process robustness initiatives, process monitoring and CPV) and the site initiatives (i.e. cycle time reduction projects) with advanced data analysis (Machine Learning) and promote use off the shelf data analysis software (Minitab, SIMCA, Qlik, .)
+ Drive and support local digital data science initiatives according to prioritization (e.g. Yield Improvement, real-time monitoring, predictive process performance etc.).
+ Expand and unlock new knowledge for effective process monitoring and process improvement optimizations (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).
+ Provide technical support to manufacturing processes, investigation, yield optimization and process monitoring with advanced data analysis.
+ Own and maintain Manufacturing Science/ Manufacturing related dataset
+ Manage investigations and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving
+ Translate business problems into opportunities and effectively communicate findings with stakeholders.
+ Gathers and identify local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global GMS data science.
+ Supports and participates in global/functional/local GMS data science community
+ Support in maintaining the GMP archive for the group, including responsibility of document withdrawal and destroy
+ Responsible for day-to-day operation of local data science function, covering all data science levels and related technologies.
**What you bring to Takeda:**
+ Master or PhD degree in technical/scientific education, preferably pharmaceutical sciences, chemistry, biotechnology, bioinformatics or pharma - process engineering
+ Previous experience in Data Analysis (3 years)
+ Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology
+ Good written and spoken Italian and English mandatory
+ Mathematical and Statistical Knowledge
+ Experience in coding skills es in Python/R (preferred)
+ Proficiency in database languages (SQL), understanding of data models and databases
+ Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)
+ Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology
+ Good written and spoken Italian and English mandatory
+ Mathematical and Statistical Knowledge
+ Experience in coding skills es in Python/R (preferred)
+ Proficiency in database languages (SQL), understanding of data models and databases
+ Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)
+ Knowledge of plasma fractionation process (preferred)
+ Capabilities to translate business needs into data analytics concepts and the other way
+ Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust.
+ Good understanding of industry, scientific and data science trends and market conditions to develop solutions enhancing compliance and quality of life for patients.
+ Good communication and presentation skills as well as influencing skills.
**What Takeda can offer you:**
We want our employees to succeed in everything they do - at work, at home, and in the community. This is why we offer world-class benefits and access to resources that can support people.
**Health and Finance**
+ Health Care Assistance Insurance
+ Employee Stock Purchase Plan
+ Employee discount programs on commercial establishments, shops, medical services
**Training and Development**
+ Technical skill training and professional development
+ Job Rotation programs for working in other departments
+ Spontaneous employee groups for awareness on Diversity, Equity, and Inclusion issues and community engagement activities
+ Value-based culture
**Individual Support**
+ Wellness programs
+ On-site cafeteria and bar
+ Resources for mental, physical, financial, and spiritual health
+ Parental Leave
**NOTE:**
+ Belonging to protected categories (Law No. 68/99) will be considered a preferential qualification.
**Important Considerations:**
At Takeda, our patients rely on us to create quality products, and we aim to create a safe environment for our team members. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product or putting anyone at the site in harm's way. In this role, you may:
+ Willingness to travel to various internal/external Takeda meetings and events
**More About Us:**
At Takeda, we are transforming patient care through the development of innovative specialty medicines and first-class patient support programs. Takeda is a patient-oriented company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and aims for excellence in everything we do. We promote an inclusive and collaborative work environment where our teams are united by an unwavering commitment to delivering Better Health and a Brighter Future to people worldwide.
**EMPOWERING OUR PEOPLE TO SHINE**
Takeda is proud of its commitment to creating a diverse workforce and offering equal employment opportunities to all employees and applicants without distinction of race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information, marital status, or any other characteristic protected by law.
#GMSGQ
#LI-LA1
**Locations**
ITA - Rieti
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Senior Data Scientist
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
Since 1972, Takeda has had two sites in Italy for producing plasma-derived drugs in Rieti and Pisa, supporting patients with rare and complex diseases. These sites focus on the production of therapies derived from immunoglobulins, albumin, and coagulation factors. As a partner of the National Health System, we transform plasma into life-saving drugs under the "National Self-Sufficiency of Blood and its Products" program. We provide high-quality drugs worldwide, with a strong presence in Europe, America, and Asia.
Across Italy and the world, Takeda is recognized as a Top Employer by the Top Employers Institute based on our commitment to career development, inclusion, learning, sustainability, wellness, and, most importantly, our values.
Join us to make a difference.
**About the role:**
As a Senior Data Scientist, you will manage and execute local data science initiatives to improve productivity not limited to data availability enhancement, process modeling using ML tools, digital twins. Identifies local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global Data Science.
**How you will contribute:**
+ Provide technical support to manufacturing processes, investigation, yield optimization, process monitoring and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving
+ Identify patterns, trends and anomalies in batch data providing valuable insights into process variability, process performance and product quality
+ Support and drive the Manufacturing Science department activities (i.e. yield improvement projects, process robustness initiatives, process monitoring and CPV) and the site initiatives (i.e. cycle time reduction projects) with advanced data analysis (Machine Learning) and promote use off the shelf data analysis software (Minitab, SIMCA, Qlik, .)
+ Drive and support local digital data science initiatives according to prioritization (e.g. Yield Improvement, real-time monitoring, predictive process performance etc.).
+ Expand and unlock new knowledge for effective process monitoring and process improvement optimizations (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).
+ Provide technical support to manufacturing processes, investigation, yield optimization and process monitoring with advanced data analysis.
+ Own and maintain Manufacturing Science/ Manufacturing related dataset
+ Manage investigations and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving
+ Translate business problems into opportunities and effectively communicate findings with stakeholders.
+ Gathers and identify local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global GMS data science.
+ Supports and participates in global/functional/local GMS data science community
+ Support in maintaining the GMP archive for the group, including responsibility of document withdrawal and destroy
+ Responsible for day-to-day operation of local data science function, covering all data science levels and related technologies.
**What you bring to Takeda:**
+ Master or PhD degree in technical/scientific education, preferably pharmaceutical sciences, chemistry, biotechnology, bioinformatics or pharma - process engineering
+ Previous experience in Data Analysis (3 years)
+ Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology
+ Good written and spoken Italian and English mandatory
+ Mathematical and Statistical Knowledge
+ Experience in coding skills es in Python/R (preferred)
+ Proficiency in database languages (SQL), understanding of data models and databases
+ Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)
+ Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology
+ Good written and spoken Italian and English mandatory
+ Mathematical and Statistical Knowledge
+ Experience in coding skills es in Python/R (preferred)
+ Proficiency in database languages (SQL), understanding of data models and databases
+ Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)
+ Knowledge of plasma fractionation process (preferred)
+ Capabilities to translate business needs into data analytics concepts and the other way
+ Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust.
+ Good understanding of industry, scientific and data science trends and market conditions to develop solutions enhancing compliance and quality of life for patients.
+ Good communication and presentation skills as well as influencing skills.
**What Takeda can offer you:**
We want our employees to succeed in everything they do - at work, at home, and in the community. This is why we offer world-class benefits and access to resources that can support people.
**Health and Finance**
+ Health Care Assistance Insurance
+ Employee Stock Purchase Plan
+ Employee discount programs on commercial establishments, shops, medical services
**Training and Development**
+ Technical skill training and professional development
+ Job Rotation programs for working in other departments
+ Spontaneous employee groups for awareness on Diversity, Equity, and Inclusion issues and community engagement activities
+ Value-based culture
**Individual Support**
+ Wellness programs
+ On-site cafeteria and bar
+ Resources for mental, physical, financial, and spiritual health
+ Parental Leave
**NOTE:**
+ Belonging to protected categories (Law No. 68/99) will be considered a preferential qualification.
**Important Considerations:**
At Takeda, our patients rely on us to create quality products, and we aim to create a safe environment for our team members. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product or putting anyone at the site in harm's way. In this role, you may:
+ Willingness to travel to various internal/external Takeda meetings and events
**More About Us:**
At Takeda, we are transforming patient care through the development of innovative specialty medicines and first-class patient support programs. Takeda is a patient-oriented company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and aims for excellence in everything we do. We promote an inclusive and collaborative work environment where our teams are united by an unwavering commitment to delivering Better Health and a Brighter Future to people worldwide.
**EMPOWERING OUR PEOPLE TO SHINE**
Takeda is proud of its commitment to creating a diverse workforce and offering equal employment opportunities to all employees and applicants without distinction of race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information, marital status, or any other characteristic protected by law.
#GMSGQ
#LI-LA1
**Locations**
ITA - Rieti
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Sii il primo a saperlo
Informazioni sulle ultime novità Senior scientist Posti di lavoro;/Posti Vacanti nella Italia !
Senior Data Scientist
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Si cerca un AI Engineer esperto, con una solida conoscenza e comprovata esperienza in Machine Learning, Deep Learning e AI Generativa, con particolare enfasi sui Large Language Models (LLMs). Il ruolo prevede la progettazione, l'implementazione e l'ottimizzazione di modelli e sistemi AI complessi, inclusi i sistemi di Agentic AI (Agenti Autonomi). Sarà impegnata su progetti innovativi che spaziano dalla comprensione del linguaggio naturale alla generazione di contenuti e all'automazione avanzata.
Responsabilità:
- Progettare, sviluppare e implementare algoritmi e modelli di Machine Learning e Deep Learning.
- Sviluppare e implementare architetture di Agentic AI (Agenti Autonomi) basate su LLM per l'automazione di flussi di lavoro complessi e il problem solving.
- Lavorare con Large Language Models (LLMs) per applicazioni quali la generazione di testo, la sintesi, la traduzione e la comprensione del linguaggio naturale.
- Costruire e ottimizzare architetture di AI generativa per risolvere problemi aziendali complessi.
- Condurre ricerche e sperimentazioni per valutare nuove tecniche e tecnologie AI.
- Collaborare con team di prodotto, data scientists e altri ingegneri per integrare soluzioni AI nei nostri prodotti e servizi.
- Mantenere e migliorare i modelli AI esistenti, garantendo prestazioni e scalabilità.
Requisiti:
Il candidato ideale deve possedere una combinazione di solide competenze tecniche, esperienza pratica nello sviluppo di modelli e familiarità con l'ecosistema dell'AI moderna.
- Laurea Magistrale (o equivalente) in Informatica, Ingegneria Informatica, Intelligenza Artificiale, Data Science, Matematica o Fisica.
- Forte competenza teorica e pratica in Machine Learning e Deep Learning, con esperienza nello sviluppo e nella messa in produzione di modelli.
- Competenze di Elaborazione del Linguaggio Naturale (NLP)
- Comprovata padronanza di almeno un framework di Deep Learning (es. PyTorch, TensorFlow, o JAX).
- Esperienza pratica con Large Language Models (LLMs), incluse tecniche di pre-addestramento, fine-tuning (SFT) e ottimizzazione (es. Quantizzazione, Pruning).
- Agentic AI e MLOps:
- Conoscenza approfondita e/o esperienza di lavoro con i principi e i framework di Agentic AI (es. LangChain, AutoGen, RAG architectures) per la creazione di sistemi multi-agente e l'integrazione di strumenti esterni (tool calling).
- Esperienza con l'infrastruttura MLOps (es. Docker, Kubernetes, MLflow) per la gestione del ciclo di vita dei modelli e la garanzia di prestazioni e scalabilità.
- Eccellente competenza nella programmazione in Python e familiarità con librerie di data science (es. NumPy, Pandas, Scikit-learn).
- Familiarità con le piattaforme cloud (AWS, Azure o GCP, IBM Cloud) e con l'uso di acceleratori hardware (GPU/TPU).
- AI Generativa: Capacità di costruire e ottimizzare architetture di AI generativa
Senior Data Scientist
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Si cerca un AI Engineer esperto, con una solida conoscenza e comprovata esperienza in Machine Learning, Deep Learning e AI Generativa, con particolare enfasi sui Large Language Models (LLMs). Il ruolo prevede la progettazione, l'implementazione e l'ottimizzazione di modelli e sistemi AI complessi, inclusi i sistemi di Agentic AI (Agenti Autonomi). Sarà impegnata su progetti innovativi che spaziano dalla comprensione del linguaggio naturale alla generazione di contenuti e all'automazione avanzata.
Responsabilità:
- Progettare, sviluppare e implementare algoritmi e modelli di Machine Learning e Deep Learning.
- Sviluppare e implementare architetture di Agentic AI (Agenti Autonomi) basate su LLM per l'automazione di flussi di lavoro complessi e il problem solving.
- Lavorare con Large Language Models (LLMs) per applicazioni quali la generazione di testo, la sintesi, la traduzione e la comprensione del linguaggio naturale.
- Costruire e ottimizzare architetture di AI generativa per risolvere problemi aziendali complessi.
- Condurre ricerche e sperimentazioni per valutare nuove tecniche e tecnologie AI.
- Collaborare con team di prodotto, data scientists e altri ingegneri per integrare soluzioni AI nei nostri prodotti e servizi.
- Mantenere e migliorare i modelli AI esistenti, garantendo prestazioni e scalabilità.
Requisiti:
Il candidato ideale deve possedere una combinazione di solide competenze tecniche, esperienza pratica nello sviluppo di modelli e familiarità con l'ecosistema dell'AI moderna.
- Laurea Magistrale (o equivalente) in Informatica, Ingegneria Informatica, Intelligenza Artificiale, Data Science, Matematica o Fisica.
- Forte competenza teorica e pratica in Machine Learning e Deep Learning, con esperienza nello sviluppo e nella messa in produzione di modelli.
- Competenze di Elaborazione del Linguaggio Naturale (NLP)
- Comprovata padronanza di almeno un framework di Deep Learning (es. PyTorch, TensorFlow, o JAX).
- Esperienza pratica con Large Language Models (LLMs), incluse tecniche di pre-addestramento, fine-tuning (SFT) e ottimizzazione (es. Quantizzazione, Pruning).
- Agentic AI e MLOps:
- Conoscenza approfondita e/o esperienza di lavoro con i principi e i framework di Agentic AI (es. LangChain, AutoGen, RAG architectures) per la creazione di sistemi multi-agente e l'integrazione di strumenti esterni (tool calling).
- Esperienza con l'infrastruttura MLOps (es. Docker, Kubernetes, MLflow) per la gestione del ciclo di vita dei modelli e la garanzia di prestazioni e scalabilità.
- Eccellente competenza nella programmazione in Python e familiarità con librerie di data science (es. NumPy, Pandas, Scikit-learn).
- Familiarità con le piattaforme cloud (AWS, Azure o GCP, IBM Cloud) e con l'uso di acceleratori hardware (GPU/TPU).
- AI Generativa: Capacità di costruire e ottimizzare architetture di AI generativa
SENIOR DATA SCIENTIST
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Sei pronto ad entrare a far parte della nostra squadra?
#BeSynergiePeople
Il talento ha un volto nuovo: il tuo!
Ogni giorno costruiamo il successo insieme
Mettendo al centro le persone e il loro talento .