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Data science Scientist - All genders

Data science Scientist - All genders

Data science Scientist - All genders

Data science Scientist - All genders

Merck

Pharmazeutische Produkte, Arzneimittel

Corsier-sur-Vevey

  • Art der Anstellung: Vollzeit
  • 93.000 CHF – 126.000 CHF (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

Data science Scientist - All genders

Über diesen Job

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Who we are:

Merck is a leading science and technology company in healthcare, life science and performance materials. Around 54,000 employees in 66 countries work to further develop technologies that improve and enhance life – from biopharmaceutical therapies to medical devices that support people living with chronic diseases. Merck is in charge of the development of many medical devices for the delivery of drugs.

Your role:

As part of the Global Drug Substance Development department, you will join a team of motivated scientists dedicated to develop and optimize process for production of new biological therapeutics. You will work in the Biotech Development Center BDC, center of excellence in Biologics development with cutting edge technologies and an international environment.

You are a Data Scientistwith a deep passion for statistical and mechanistic modeling, scalable AI and machine learning. Specialized in process modelling and large language models (LLMs), you will leverage advanced modelling techniques and state-of-the-art generative AI to modernize development workflows, enable predictive analytics, and drive intelligent automation. You will collaborate with cross-functional teams to design, build, and deploy scalable LLM solutions that integrate seamlessly our Upstream and Downstream processing development workflows, preparing the organization for Industry 4.0. You are a curious mind : you enjoy going in the development and you would like to perform calibration experiments for your models.

Key Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions for bioprocessing workpackages.
  • Contribute to the development and refinement of AI pipelines, including data ingestion, model selection, and validation. Contribute to building the dashboards needed for automatic reports.
  • Develop and apply mathematical or statistical theories and techniques to analyze and interpret data, build models and make predictions applied to our bioprocessing workpackages.
  • Perform independent analysis on large, complex datasets, ensuring statistical validity and reliability.
  • Perform necessary calibration experiments in laboratory for building mechanistic models.
  • Demonstrate value of innovative AI techniques in the context of process development.
  • Contribute to scientific publications and present results at internal and external scientific conferences.
  • Elaborate dashboards and promote Robotic Process Automation (RPA) and automation uses as required.

Qualifications:

  • Advanced degree (Master’s or Ph.D.) in Statistics, Data Science, Computer Science, Chemical Engineering, Mathematics, or a related field.
  • Extensive experience with mechanistic modelling (eg. GPROMS, Dynochem), statistical modelling (e.g Python, JMP), hybrid modelling (Datahow, Python)
  • Proven track record in building, training, and optimizing large language models (LLMs) and other natural language processing algorithms.
  • Experience in the biopharmaceutical industry preferred
  • Strong problem-solving skills with attention to detail and a passion for uncovering insights from complex data.
  • Excellent communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
  • Proven ability to work collaboratively in dynamic, multi-disciplinary teams in a proactive manner.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Gehalts-Prognose

Unternehmens-Details

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Merck

Pharmazeutische Produkte, Arzneimittel

10.001 oder mehr Mitarbeitende

Darmstadt, Deutschland

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
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Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen

Unternehmenskultur

Unternehmenskultur

1012 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Merck als eher modern. Dies stimmt ungefähr mit dem Branchen-Durchschnitt überein.

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