6 annunci per il ruolo di data scientist - aargau (recruiting in corso)

Data Scientist (m/f/d)
Syngenta Crop Protection —Stein, AG
- 100%
- Dottorato
- Inglese
- Master
Candidatura rapida
6 giorni
Research Scientist - Complex Systems Modelling for Reliability (f/m/d)
Hitachi —Baden, AG
- 100%
- Remoto
- Dottorato
- Manutenzione
- Inglese
Research Scientist - Complex Systems Modelling for Reliability (f/m/d)
Hitachi Rail —Baden, AG
- 100%
- Remoto
- Dottorato
- Manutenzione
- Inglese
Beamline Scientist (Tenure Track)
Paul Scherrer Institut PSI —Villigen PSI, AG
- Straordinari
- Dottorato
- Inglese
- Sviluppo software
11 giorni
Synthesis Lead I – Synthesis Research Chemistry (m/f/d)
Syngenta Crop Protection —Stein, AG
- 100%
- Dottorato
- Inglese
Candidatura rapida
(Senior) Scientist in Converter-Based Distribution Systems (80 - 100%) f/m/d
ABB Schweiz AG —Baden, AG
- Dottorato
- Esperienza di laboratorio
- Inglese
Candidatura rapida
6 giorni

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Data Scientist (m/f/d)

Syngenta Crop Protection -
Stein, AG

Candidatura rapida

Dettagli della posizione

100% | Orario di lavoro: 90-100%
6 giorni fa

Qualifiche

Dottorato
R
Git
Inglese
Master
SQL
Competenze analitiche
Linux
Python

Descrizione completa della posizione

Company Description

At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.

Syngenta has been ranked as a top employer by Science Magazine, and it has been awarded with the "Friendly Work Space" label to all its Swiss sites.

Job Description

We are seeking a highly skilled Data Scientist (m/f/d) with deep expertise in developing multi-omics data integration and machine learnings methods, to join our Digital & Data Science Group in Biologicals Research. Biologicals research discovers, characterizes, optimizes and produces novel biologicals. Biologicals are derived from nature. They can be naturally occurring microbes, extracts or molecules protecting plants from pests and diseases or improving plant and soil health.
Within this role you will work on Syngenta ‘omics data to identify patterns in product performance and make predictions. You will be asked to develop methods to analyze and interpret the outcome of ‘omics experiments with your analytical skills as well as machine learning approaches. Your work will result in new tools to guide selection, optimization and development of novel Biologicals solutions.

Key responsibilities will include:

Develop and implement new multi-omics integration strategies (e.g., data harmonization, feature engineering, network-based methods) to strengthen biological interpretation and hypothesis generation
Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from complex, high‑dimensional, multi‑omics datasets
Curate, quality control, and integrate large scale ’omics datasets, ensuring data integrity, reproducibility, and downstream analytical readiness
Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences
Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses
Work collaboratively to deliver new approaches, share learnings, and drive innovation in digital and data science including technology foresight
Work with R&D IT and software developers to deploy predictive model applications tailored to stakeholder needs
Support business users with change management initiatives to manage data more effectively

Qualifications

MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with some experience in natural sciences (e.g. chemical biology, microbiology, ecology, environmental sciences)
3+ years developing multi-omics integration methods for complex biological, biochemical, environmental, or agricultural datasets
Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL
Experience with proteomics and metabolomics data analysis would be an asset
Dynamic personality with passion for innovation and problem-solving

Additional Information

We offer a variety of financial and non-financial benefits including:

- A position which contributes to valuable and impactful work in a stimulating and international environment
- A superb working environment with an open culture and diverse workforce where new ideas are always welcome
- The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
- Learning culture (Together we Grow) and wide range of training options
- You will profit from a competitive pension fund plan, flexible working, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits such as Family friendly initiatives, Child and Family allowance

Please send your complete application with CV, a motivation letter that highlights your motivation and relevant experience for this position, diploma and work certificates (if applicable) in English. Additionally, we welcome access to git repositories showcasing relevant past projects. We will only consider applications that contain CV and motivation letters.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Candidatura rapida

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data scientist offerte - aargau

Data Scientist (m/f/d)

Research Scientist - Complex Systems Modelling for Reliability (f/m/d)

Research Scientist - Complex Systems Modelling for Reliability (f/m/d)

Beamline Scientist (Tenure Track)

Synthesis Lead I – Synthesis Research Chemistry (m/f/d)

(Senior) Scientist in Converter-Based Distribution Systems (80 - 100%) f/m/d

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