job vacancy Project Lead Artificial Intelligence
Dear Sirs, Could you please share the vacancy below with the mailing list? *Project Lead Artificial Intelligence* *Job objective * Our organization keeps moving. This results in a fast-changing and, therefore, challenging environment. As a Project Lead Artificial Intelligence and Data Science you strengthen the R&D Trait Genetics group. With your solid background in bioinformatics you lead projects, work packages and activities on the design of algorithms and pipelines using high throughput phenotyping methods like imaging data. You translate these pipelines into solutions for our global breeding and research programs. In addition, you are responsible for setting up, developing and maintaining the IT solutions for our Trait Genetics team. Collaboration is key for this job position. You will work closely with breeders and scientists from different backgrounds (including bioinformatics, biology, genetics, phytopathology and trait discovery) to develop tailored solutions that meet their needs. You will report to the Technology Lead Trait Genetics in the Breeding Technology Centre in De Lier. *Your tasks and responsibilities* · Design, improve and maintain innovative software solutions for large data challenges within the global Dümmen Orange R&D portfolio. · Initiate and lead work packages and projects on developing pipelines for computer vision (preprocessing, segmentation, machine learning, deep learning, etc), which feed into genomic analyses and molecular breeding applications. · Deploy software tools and pipelines for routine breeding application through automation or for end-users through web-apps or Notebooks. · Perform scouting activities for novel tools and technologies. · Design, improve and maintain IT infrastructure and solutions for our Trait Genetics team. · Build and maintain an internal and external network of collaborations. · Provide functional and organizational leadership. *Your profile* · PhD in a relevant field in computer science or biology with a strong computational focus (for example bioinformatics, data science) and preferably >2 years experience in industry. · You have a thorough understanding of the Linux operating system and are proficient in coding in Python and R (other programming languages are nice to have). - Proven experience in advanced computer vision applications preferably using various deep learning approaches (for example for object detection and segmentation). - Proven experience in analyzing large datasets and data visualization. · Experience with DevOps (Kubernetes, Docker), databases (SQL), workflow management (Airflow) and cloud computing (Azure) is desirable. · Experience with front-end development (Dash, Pyscript, Rshiny) is desirable. - Prior knowledge of biology is not essential, but affinity with plant breeding and quantitative genetics is desirable. · Ability to work independently as well as in fast-paced multidisciplinary teams. · Inquisitive, innovative and critical mind-set and a creative and pro-active attitude. · Ability to communicate across disciplines and functions. · Excellent command of English and willingness to learn Dutch. Vancy can be found online on : https://emea.dummenorange.com/site/nl/vacatures/detail?job=project-lead-arti... *Camillo Berenos*
Dear, Can you share the following job opening in my team in Ghent with the mailing list? Best regards, Koen Computational Protein Engineer (basf.jobs)<https://basf.jobs/dark_blue_EMEA/job/Gent-Computational-Protein-Engineer/990213801/> Computational Protein engineer We are seeking an entrepreneurial and highly skilled Computational Protein Engineer with Expertise in AI methods and Molecular Biology to join our innovative team. The ideal candidate will possess a profound understanding of machine learning models in the field of protein engineering, a deep interest in plant molecular biology, and solid communication skills. As a crucial member of our research and development team, you will identify opportunities to leverage advanced AI models for protein design and optimization, and you will apply them to enhance crop traits for increased resilience and yield. Task package: * You will develop and utilize AI-driven and modeling approaches to analyze and predict protein structures, interactions, and functions, with a focus on optimizing traits related to pest control, disease resistance and yield enhancement. * You collaborate closely with cross-functional teams, including molecular biologists, agronomists, and bioinformaticians to integrate advanced methodologies into broader crop improvement programs. * You will identify creative opportunities for developing desired agronomic traits, by leveraging on your expertise in molecular biology and machine learning methods. * Furthermore, you will contribute to the development and execution of research plans, experimental designs, and data analysis pipelines. * You will stay abreast of the latest advancements in protein engineering, AI methodologies, and plant molecular biology, and apply this knowledge to drive innovation within the company. Expertise: * You have a Ph.D. or equivalent in Protein Engineering, Bioinformatics, Molecular Biology, or a related field. * You are known for your entrepreneurial attitude, with the ability to identify innovation opportunities that leverage on knowledge in molecular biology and machine learning methods. * Additionally, you have excellent verbal and written communication skills, with experience in conveying complex scientific concepts to both technical and non-technical audiences. * You have proven expertise in the development and application of machine learning models, including large language models (e.g., AlphaFold, ESMfold), for protein engineering and structure prediction. * Proficiency in molecular biology, including a deep understanding of genomics, gene expression, signaling pathways, and metabolic processes is a must. * Programming skills (Python, R, etc.) for data analysis and computational modeling are a plus. * You have demonstrated ability to work collaboratively in a fast-paced, interdisciplinary research environment. Benefits: * Responsibility from day one in a challenging but dynamic work environment and "on-the-job" training as part of a committed team. * Competitive compensation including attracting benefits as well as excellent career opportunities in an international company. BASF is a multinational company dedicated to revolutionizing agricultural science. We are committed to developing innovative solutions that address global challenges in food security and sustainability. Our diverse team combines expertise in computational protein engineering, artificial intelligence, and plant molecular biology to create cutting-edge technologies that redefine the agricultural industry. Do you have any questions about the application process or the job? Please contact Nele (Talent acquisition) Phone: +49 30 2005-58363. Dr. Koen Bruynseels Phone: +32 474 296 225, Email: koen.bruynseels@basf.com<mailto:koen.bruynseels@basf.com> Postal Address: BASF Belgium Coordination Center CommV, Technologiepark 101, 9052 Gent Zwijnaarde, Belgium [cid:image001.png@01D9FAD3.AB75FC60] BASF Business Services NV, Registered Office: Scheldelaan 600, 2040 Antwerp 4, Belgium Companies' Register: Handelsregister Antwerpen, 0463.642.875 Companies' Register: Rechtspersonenregister Antwerpen, 0463.642.875 Managing Director: Stefan Beck Information on data protection can be found here: https://www.basf.com/global/en/legal/data-protection-at-basf.html
Dear, Can you share the following job opening in my team in Ghent with the mailing list? Best regards, Koen Computational Protein Engineer (basf.jobs)<https://basf.jobs/dark_blue_EMEA/job/Gent-Computational-Protein-Engineer/990213801/> Computational Protein engineer We are seeking an entrepreneurial and highly skilled Computational Protein Engineer with Expertise in AI methods and Molecular Biology to join our innovative team. The ideal candidate will possess a profound understanding of machine learning models in the field of protein engineering, a deep interest in plant molecular biology, and solid communication skills. As a crucial member of our research and development team, you will identify opportunities to leverage advanced AI models for protein design and optimization, and you will apply them to enhance crop traits for increased resilience and yield. Task package: * You will develop and utilize AI-driven and modeling approaches to analyze and predict protein structures, interactions, and functions, with a focus on optimizing traits related to pest control, disease resistance and yield enhancement. * You collaborate closely with cross-functional teams, including molecular biologists, agronomists, and bioinformaticians to integrate advanced methodologies into broader crop improvement programs. * You will identify creative opportunities for developing desired agronomic traits, by leveraging on your expertise in molecular biology and machine learning methods. * Furthermore, you will contribute to the development and execution of research plans, experimental designs, and data analysis pipelines. * You will stay abreast of the latest advancements in protein engineering, AI methodologies, and plant molecular biology, and apply this knowledge to drive innovation within the company. Expertise: * You have a Ph.D. or equivalent in Protein Engineering, Bioinformatics, Molecular Biology, or a related field. * You are known for your entrepreneurial attitude, with the ability to identify innovation opportunities that leverage on knowledge in molecular biology and machine learning methods. * Additionally, you have excellent verbal and written communication skills, with experience in conveying complex scientific concepts to both technical and non-technical audiences. * You have proven expertise in the development and application of machine learning models, including large language models (e.g., AlphaFold, ESMfold), for protein engineering and structure prediction. * Proficiency in molecular biology, including a deep understanding of genomics, gene expression, signaling pathways, and metabolic processes is a must. * Programming skills (Python, R, etc.) for data analysis and computational modeling are a plus. * You have demonstrated ability to work collaboratively in a fast-paced, interdisciplinary research environment. Benefits: * Responsibility from day one in a challenging but dynamic work environment and "on-the-job" training as part of a committed team. * Competitive compensation including attracting benefits as well as excellent career opportunities in an international company. BASF is a multinational company dedicated to revolutionizing agricultural science. We are committed to developing innovative solutions that address global challenges in food security and sustainability. Our diverse team combines expertise in computational protein engineering, artificial intelligence, and plant molecular biology to create cutting-edge technologies that redefine the agricultural industry. Do you have any questions about the application process or the job? Please contact Nele (Talent acquisition) Phone: +49 30 2005-58363. Dr. Koen Bruynseels Phone: +32 474 296 225, Email: koen.bruynseels@basf.com<mailto:koen.bruynseels@basf.com> Postal Address: BASF Belgium Coordination Center CommV, Technologiepark 101, 9052 Gent Zwijnaarde, Belgium [cid:image001.png@01D9FAD3.AB75FC60] BASF Business Services NV, Registered Office: Scheldelaan 600, 2040 Antwerp 4, Belgium Companies' Register: Handelsregister Antwerpen, 0463.642.875 Companies' Register: Rechtspersonenregister Antwerpen, 0463.642.875 Managing Director: Stefan Beck Information on data protection can be found here: https://www.basf.com/global/en/legal/data-protection-at-basf.html
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