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Bioinformatician

ADM International Sàrl

Z. A. La Pièce 3, 1180 Rolle

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of 549 pages

Bioinformatician

Z. A. La Pièce 3, 1180 Rolle

NEW

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9/17/2025
100%
Position with responsibilities
Unlimited employment

ADM’s global Nutrition business is represented by Human Nutrition, Health & Wellness and Animal Nutrition divisions. The Health & Wellness and Animal Nutrition Research teams are present in 4 locations (Spain, North America, France and Switzerland) and focus on developing cutting-edge technological and science-based products.
The successful candidate will report to the Omics Manager and will be based in Lausanne, Switzerland. The candidate will take a key role within the team, developing cutting-edge methodologies to analyze multi-omics datasets aiming at accelerating the discovery and development of innovative and science-based microbiome solutions, which will differentiate ADM on the Animal Microbiome markets.

Bioinformatician

Your Responsibilities

Pipeline Development: Design, implement, and optimize state-of-the-art bioinformatics pipelines for the analysis of multi-omics datasets, including genomics, metagenomics, transcriptomics, proteomics, and metabolomics. Applications include strain characterization, biomarker discovery, community composition analysis, and functional annotation.
Data Management: Establish and maintain robust data management systems to ensure the integrity, reproducibility, and accessibility of large-scale datasets. Implement best practices for data storage, curation, and version control to enable seamless integration with machine learning workflows.
IT Infrastructure: Design, establish, and manage high-performance computing (HPC) clusters or cloud-based infrastructure to support computational workflows. Ensure the scalability, performance, and reliability of the IT environment to meet the growing demands of data processing and analysis.
Machine Learning Readiness: Develop and preprocess datasets to ensure they are optimized for machine learning applications. Collaborate with data scientists to design and implement AI-based solutions for biotics discovery, leveraging advanced algorithms to identify novel candidates and actionable insights.
Advanced Analytics: Perform comprehensive analysis and integration of multi-omics data, applying statistical and computational methods to uncover patterns, correlations, and biological insights. Utilize predictive modeling and network analysis to support hypothesis-driven research.
Automation of Experimental Data Analysis: Support scientists in automating analyses for flow cytometry, microscopy, and other molecular biology results. Develop computational workflows and tools that maximize the value of experimental data, enabling high-throughput and reproducible analyses.
Collaboration: Partner with cross-functional teams, including microbiologists, data scientists, and product development teams, to design experiments, interpret findings, and propose innovative solutions. Act as a bioinformatics subject matter expert to guide decision-making processes.
Innovation: Stay at the forefront of bioinformatics and omics research by integrating cutting-edge tools, methodologies, and technologies. Propose innovative approaches to accelerate the discovery and development of microbiome-based solutions.
Reporting and Communication: Prepare and deliver comprehensive reports and presentations to communicate findings effectively to internal stakeholders and external collaborators. Translate complex bioinformatics results into actionable recommendations.
Reproducibility and Documentation: Ensure reproducibility and transparency of all analyses by employing workflow management tools, version control systems, and thorough documentation. Promote best practices for bioinformatics workflows across the team.
Mentorship: Provide guidance and mentorship to other team members, fostering a culture of continuous learning and innovation within the bioinformatics team.

Your Profile:

Education: Master’s or PhD in bioinformatics, biostatistics, computer science, microbiology, or a related field.
Experience: At least 5+ years of professional experience in bioinformatics, with a proven track record of developing and implementing pipelines and managing large-scale datasets in a multidisciplinary environment.
Technical Expertise: Proficiency in programming languages such as Python, R, and Bash, with experience in workflow management tools (e.g., Snakemake, Nextflow) and version control systems (e.g., Git).
Hands-on experience with AI and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and their application in bioinformatics.
Expertise in bioinformatics tools and databases for genomics, metagenomics, and other omics fields (e.g., MetaPhlAn, CARD, NCBI, UniProt, etc.).
Strong knowledge of statistical methods and computational frameworks for multi-omics data integration.
Data Management: Proven experience in designing and maintaining robust data management systems to ensure data quality, reproducibility, and readiness for downstream analyses.
Familiarity with cloud-based storage solutions and high-performance computing environments is a plus.
Omics Expertise: Experience in analyzing and integrating multi-omics datasets, including genomics, transcriptomics, proteomics, and metabolomics.
Ability to interpret complex datasets and translate them into actionable insights.
Automation Skills: Experience in developing computational workflows to automate experimental data analysis for flow cytometry, microscopy, and other molecular biology results is highly desirable.
Ability to support scientists in maximizing the value of experimental data through high-throughput and reproducible analyses.
Soft Skills: Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical audiences.
Excellent interpersonal and collaboration skills, with the ability to work effectively in a global, multidisciplinary team.
Adaptability: A proactive and innovative mindset, with the ability to thrive in a fast-paced and dynamic research environment.
Strong problem-solving skills and the ability to manage multiple projects simultaneously.

Our Offer

Challenging tasks, short decision-making processes and a high level of personal responsibility in a modern work environment with flexible work time models
Room for innovative thinking and growth with the possibility to manage your own career path.
A company culture which promotes continuous learning, diversity and inclusion.
Excellent career opportunities in a world leading nutrition company.
An attractive remuneration including a variety of social benefits like subsidized health & fitness offers.

External Job Description :

ADM’s global Nutrition business is represented by Human Nutrition, Health & Wellness and Animal Nutrition divisions. The Health & Wellness and Animal Nutrition Research teams are present in 4 locations (Spain, North America, France and Switzerland) and focus on developing cutting-edge technological and science-based products.
The successful candidate will report to the Omics Manager and will be based in Lausanne, Switzerland. The candidate will take a key role within the team, developing cutting-edge methodologies to analyze multi-omics datasets aiming at accelerating the discovery and development of innovative and science-based microbiome solutions, which will differentiate ADM on the Animal Microbiome markets.

Your Responsibilities:

Pipeline Development: Design, implement, and optimize state-of-the-art bioinformatics pipelines for the analysis of multi-omics datasets, including genomics, metagenomics, transcriptomics, proteomics, and metabolomics. Applications include strain characterization, biomarker discovery, community composition analysis, and functional annotation.
Data Management: Establish and maintain robust data management systems to ensure the integrity, reproducibility, and accessibility of large-scale datasets. Implement best practices for data storage, curation, and version control to enable seamless integration with machine learning workflows.
IT Infrastructure: Design, establish, and manage high-performance computing (HPC) clusters or cloud-based infrastructure to support computational workflows. Ensure the scalability, performance, and reliability of the IT environment to meet the growing demands of data processing and analysis.
Machine Learning Readiness: Develop and preprocess datasets to ensure they are optimized for machine learning applications. Collaborate with data scientists to design and implement AI-based solutions for biotics discovery, leveraging advanced algorithms to identify novel candidates and actionable insights.
Advanced Analytics: Perform comprehensive analysis and integration of multi-omics data, applying statistical and computational methods to uncover patterns, correlations, and biological insights. Utilize predictive modeling and network analysis to support hypothesis-driven research.
Automation of Experimental Data Analysis: Support scientists in automating analyses for flow cytometry, microscopy, and other molecular biology results. Develop computational workflows and tools that maximize the value of experimental data, enabling high-throughput and reproducible analyses.
Collaboration: Partner with cross-functional teams, including microbiologists, data scientists, and product development teams, to design experiments, interpret findings, and propose innovative solutions. Act as a bioinformatics subject matter expert to guide decision-making processes.
Innovation: Stay at the forefront of bioinformatics and omics research by integrating cutting-edge tools, methodologies, and technologies. Propose innovative approaches to accelerate the discovery and development of microbiome-based solutions.
Reporting and Communication: Prepare and deliver comprehensive reports and presentations to communicate findings effectively to internal stakeholders and external collaborators. Translate complex bioinformatics results into actionable recommendations.
Reproducibility and Documentation: Ensure reproducibility and transparency of all analyses by employing workflow management tools, version control systems, and thorough documentation. Promote best practices for bioinformatics workflows across the team.
Mentorship: Provide guidance and mentorship to other team members, fostering a culture of continuous learning and innovation within the bioinformatics team.Your Profile:
- Education: Master’s or PhD in bioinformatics, biostatistics, computer science, microbiology, or a related field.
- Experience: At least 5+ years of professional experience in bioinformatics, with a proven track record of developing and implementing pipelines and managing large-scale datasets in a multidisciplinary environment.
- Technical Expertise: Proficiency in programming languages such as Python, R, and Bash, with experience in workflow management tools (e.g., Snakemake, Nextflow) and version control systems (e.g., Git).
- Hands-on experience with AI and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and their application in bioinformatics.
- Expertise in bioinformatics tools and databases for genomics, metagenomics, and other omics fields (e.g., MetaPhlAn, CARD, NCBI, UniProt, etc.).
- Strong knowledge of statistical methods and computational frameworks for multi-omics data integration.
- Data Management: Proven experience in designing and maintaining robust data management systems to ensure data quality, reproducibility, and readiness for downstream analyses.
- Familiarity with cloud-based storage solutions and high-performance computing environments is a plus.
- Omics Expertise: Experience in analyzing and integrating multi-omics datasets, including genomics, transcriptomics, proteomics, and metabolomics.
- Ability to interpret complex datasets and translate them into actionable insights.
- Automation Skills: Experience in developing computational workflows to automate experimental data analysis for flow cytometry, microscopy, and other molecular biology results is highly desirable.
- Ability to support scientists in maximizing the value of experimental data through high-throughput and reproducible analyses.
- Soft Skills: Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical audiences.
- Excellent interpersonal and collaboration skills, with the ability to work effectively in a global, multidisciplinary team.
- Adaptability: A proactive and innovative mindset, with the ability to thrive in a fast-paced and dynamic research environment.
- Strong problem-solving skills and the ability to manage multiple projects simultaneously.
Our Offer
- Challenging tasks, short decision-making processes and a high level of personal responsibility in a modern work environment with flexible work time models
- Room for innovative thinking and growth with the possibility to manage your own career path.
- A company culture which promotes continuous learning, diversity and inclusion.
- Excellent career opportunities in a world leading nutrition company.
- An attractive remuneration including a variety of social benefits like subsidized health & fitness offers.

A One Business Center · Z.A. La Pièce 1180 Rolle

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