11 jobs found

A permanent contract with the leader in innovation and high-tech engineering consulting A multi-stage model with career opportunities through specialization prospects, as well as with over 50'000 consultants around the world and revenue of EUR. 3.3 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D). In Switzerland, Altran employs more than 300 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva. Your role Design Machine Learning Systems and develop machine learning applications according to requirements Collaborate with product owners, data scientists and engineering teams to evaluate the effectiveness of the deployed ML systems Contribute in research, design, experimentation, development, deployment, monitoring and maintenance of ML model lifecycle Research and implement appropriate ML algorithms and tools Perform statistical analysis and fine-tuning using test results Process, clean, and verify the quality of data used for analysis Develop and implement best practices to enhance existing machine learning infrastructure Your profile Bachelor or Master Degree in IT, Computer Science, Mathematics or another related field 3+ years of relevant experience in machine learning or related role, preferably in the pharmaceutical or medical device industry Good knowledge of programming languages (eg. Python, R, Java, C++) Prior experience with SQL and NoSQL (e.g. document stores) databases Experience with cloud services Ability to clean and visualize data easily Understanding of Signal Processing Techniques and ability to solve problems Creative and critical thinking Fluent in English and/or German

The Position As a Data and Backup Manager, you will inspect incoming data, manage data flow, assign ownership, ensuring quality and proper backups & recovery. The position offers a high level of interactivity and responsibility in an established, growing company, and the opportunity to work as part of a strong international service team. This full-time position is located at our headquarter office in Basel, Switzerland. Key Responsibilities Data management Classification of data, e.g. customer, finance, public, etc. Inspecting incoming (customer) data; align & assign to BU Create and maintain data inventory – which data is where, who is the owner, why and for how long Maintain data SOP Ensure quality of data Data overview incl. access rights Backup management incl. disaster recovery Managing backups of Clients, Server, Storage, VMs, etc. incl. disaster recovery (File-level backups, VM snapshot backups) Monitor and troubleshoot backups and restores, check logs for errors and make corrections to improve efficiency Backup policy configuration Capacity planning Perform restore tests Maintain disaster recovery procedures Managing disk storage requirements incl. analysis and overview Your Profile Basic knowledge of different operating systems including Windows and Linux, and the ability to understand, setup, configure and maintain various backup concepts and recovery components on those operating systems Experience in the use of Windows and Linux software install and configurations Scripting proficiency in Bash, Python ITIL certification Knowledge of networking protocols used between operating systems Knowledge of backup software and backup procedures incl preparation of reports Capacity planning for backup appliances and storage devices Strong written and verbal communication skills Strong problem solving skills Fluent English The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. Are You Interested? If you are interested in this position, please submit us your CV and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.

Are you passionate about technology and like to take on complex technical challenges? Do you want to work in exciting projects at renowned clients? At ALTEN we believe that knowing and meeting the expectations of our consultants is a key factor in our success. Our consultants make the difference. Do you want to make the difference too? Tasks Partnering with design, engineering, and stakeholders to produce key deliverable, inform prioritization, and ship features Clearly and continuously advocating the patient/user experience, product vision, and objectives Managing communications with multiple business units as well as with internal IT cross-functional teams Planning, participating in, and facilitating meetings; capturing meeting notes as needed, synthesizing key ideas/points and providing attendees with clear meeting outcomes and action items Engaging with Procurement, IT Security, IT Quality, Legal/Privacy, Compliance teams as required and external parties Overseeing system risk assessments, data classification reporting, and supplier assessment(s) as required Partner with 3rd party DPM provider - in an advisory & consulting capacity - to integrate the planned new interface with diverse clinical information systems at selected hospitals (in Germany & Finland) Attend onsite hospital visits to assess current clinical information systems, gather hospital team requirements for integration, plan and support the DPM 3rd party to deliver successful installations Ability to drill into technical details of the agreed architectural design eg communication protocols & align the pharma client, 3rd party and hospital stakeholders to adopt the most effective technical solutions Ensure that the new ecosystem enables data flows for real world data elements to transfer from the hospital systems (EHRs, eCRFs, Registries) to the pharma client's data warehouse Understanding ETL processes (Extract-Transfer-Load), and varying data formats / standards, to achieve the best collection of key data (from EHRs, eCRFs, Registries) in a secure & compliant manner Creation of step-by-step technical project plans, and ability to explain them to the business team, for achieving the above Requirements 8+ years of experience as a Business Analyst, working in various phases of product design, launch, and implementation in a pharmaceutical or healthcare environment Experience with Agile/Scrum teams, as a Business Analyst, Team Member, and/or Scrum Master Proven Experience with Digital Health & Patient Engagement initiatives Expert with Smartsheet, Google Suite (gCal, Docs, Slides, Sheets, Forms, etc.), Slack, Jira/Confluence Expertise in Kubernetes and delivering content containers into the Google Cloud Platform Prior experience developing presentation/communication materials targeted at various levels of the organization as well as a variety of audiences (e.g. business/technical) Masters or PhD in systems development, computer engineering or information management systems or similar Excellent written and verbal communication skills in English We are looking forward to getting to know you and your ambitions! DetailsActivated at 24/03/2020Locations BaselCategory ConsultantsContact Elisa MONACOReference AD000403

The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, services, and education and training at the local, national and international level. About 850 people from more than 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. Post-doctoral Fellow in Machine Learning and Artificial Intelligence (100%) We are looking for a Postdoctoral Fellow to support a new project aiming at improving early childhood development through an interactive mobile-phone based system. This project will be jointly implemented between three entities, the DS3Lab @ETH Zurich, the Swiss Tropical and Public Health Institute, and Afinidata. The DS3Lab is based within the Department of Computer Science and led by Dr. Ce Zhang, whose current research focuses on building data systems to support machine learning and help facilitate other sciences. Afinidata is a new startup based in Guatemala and the United States, focusing on developing intelligent solutions to support early childhood development globally. Your responsibilities The post-doctoral research fellow will work with local and international partners on a multi-year study testing a new Afinidata platform to support early childhood development in Peru. The goal of this postdoctoral position will be to help further develop the existing platform through the development and application of machine learning algorithms, with a particular focus on language processing and system-user interactions. The postdoc will be based at the ETH in Zürich, but is expected to meet up with the project teams in Basel, the US and Peru on a regular basis. Experience and skill requirements This is a highly competitive position. To best fit our team we expect the following qualifications: PhD in computer science or a related field from a leading research university Demonstrated interest in, and experience with, machine learning and artificial intelligence Ability to understand, implement and debug machine learning models. Must have the mathematical and computational background to understand and efficiently implement models that best approach a particular situation. Ability to perform the necessary SQL queries for your models or analyses. Proficiency in python and its standard tools for data science (pandas, numpy, scikit-learn, matplotlib, Jupyter notebooks, etc.) and an ability to learn additional libraries. Good communication skills, strong team spirit and ability to work with professionals in a multi-cultural context Ability to work independently and as part of a team on research programmes Excellent command of English (speaking and writing) is a must. Given that the project will be implemented in Peru, basic knowledge of Spanish will also be necessary. Demonstrated ability to publish in peer-reviewed journals Prior knowledge on documenting and testing code for machine learning models, continuous integration, and scrum agile desirable but not required Please submit your application online via the link provided below. We look forward to receiving your online application with: CV Motivation letter PhD course transcripts including grades Writing sample (published or unpublished manuscript) Names and contact information (email or phone) of 3 references. Please note that we can only accept applications via our online recruiting tool:   https://recruitingapp-2698.umantis.com/Jobs/All . Only complete applications will be considered. Applications via e-mail or external recruiter will not be considered. The deadline for applications is April 15th 2020. Job Profile Start of employment:   June 2020 (with some flexibility) Location : Zurich (ETH), Switzerland and Basel (Swiss TPH) Duration : initial period of two years, but can be renewed if there is mutual interest Percentage : 100% Travel required:   yes, to the US and Peru on a regular base Contact For further information about the position, please visit our website https://www.swisstph.ch/en/ .

Altran is the global leader in Innovation, Digital and High-tech engineering consulting. At Altran, you get the chance to work on projects among a multi disciplinal portfolio and you become part of our international community of like-minded experts! Our Life Sciences Division in Switzerland is providing Digital and Engineering services from the conception, through development, quality assurance and transfer to production, implementation, and rollout. We are proud to collaborate with the major players of the MedTech, Biotech and pharmaceutical sectors to strengthen their market share. Follow your passion in a role where you will be exposed to the technologies and processes that leading global companies utilize, and join our innovative team as, Project Manager of advanced BI, Data Catalog and Cloud Project In this role Information Strategies as well as Data Catalog, Data Lake and Data Preparation and Integration capabilities are current initiatives for which you will ensure timely delivery according to the quality, security and compliance standards. The perfect candidate has a strong project management background and expert knowledge in Data Services / Data Analytics. Your role Ensure a smooth delivery of multiple project streams taking into account the organizations and strategic roadmaps in the areas of cloud and data services. Touchpoints with Advanced BI and Automation need to be addressed. Carry out all project management activities according to the project management methodology Drive the consultancy setup and optimize the delivery structures Manage the stakeholder's expectations Coordinate with other stream leads Align stakeholders at various levels of the organization under a common view Facilitate the discussions and workshops at all levels Manage all dependencies with other projects Document requirements, specifications and create test plans and tests Your profile 5y+ of work experience in computer science, software engineering or similar field in a pharmaceutical environment 5y+ experience in Data Services, hands-on experience with Cloud environments (AWS) Expert knowledge e.g. in Data Catalog, Data Lake and Data Preparation and Integration Experience with Collibra Data Catalog Experience with HP ALM Profound skills in defining hybrid infrastructure environments and a proven track record of cloud services in pharmaceutical industry is a plus Adaptable, flexible, and able to adjust the process on the fly Able to assessing individual and group behaviors and determining how to intervene in service of the goal Summarize and organize information to get to the bottom line fast Strong communication skills Fluent in English

Altran is the global leader in Innovation, Digital and High-tech engineering consulting. At Altran, you get the chance to work on projects among a multi disciplinal portfolio and you become part of our international community of like-minded experts! Our Life Sciences Division in Switzerland is providing Digital and Engineering services from the conception, through development, quality assurance and transfer to production, implementation, and rollout. We are proud to collaborate with the major players of the MedTech, Biotech and pharmaceutical sectors to strengthen their market share. Follow your passion in a role where you will be exposed to the technologies and processes that leading global companies utilize, and join our innovative team as a   Clinical Risk Manager. Your role Support the establishment and strategic development of the clinical risk management group, the development of appropriate tools, frameworks and governance platforms for collaboration Contribute to the development and maintenance of a standard business process that aims reporting of systemic quality issues and risks to the appropriate escalation and decision level. May act as owner of that process Identifies data sources for trending of cross-functional, systemic risks and issues and finds opportunities and methodologies how to access and investigate that data. Screens data for possible trends to identify areas that pose a quality risk to future portfolio activities if not mitigated Where the need for remediation is confirmed by department, performs a data-driven root cause analysis to identify which areas in particular need to be improved to avoid repetition across functions, systemic quality issues moving forward. Leads cross-functional teams in data-driven root cause analyses where the need for such a team is identified. Upon identification of key root causes of cross-functional, systemic risks and issues, leads cross-functional teams in identifying, planning and implementing appropriate mitigation plans. Ensures that improvements are measurable and that effectiveness checks will be in place. Tracks progress of mitigation plans and their implementation for cross-functional risks as well as high-impact functional risks. Tracks whether improvement targets are met and where not raises it for further action. Your profile Bachelor degree in life science, quantitative science or business Fluent in English (oral & written) 5+ years of experience in clinical operations 3+ years of experience in a risk management, quality management, process improvement Thorough understanding of the drug development process and ICH-GCP requirements Experience with data mining/analysis, basic statistical methodologies as well as root cause analyses Ability to think independently and out of the box and able to assess and resolve complex problems Proven ability to work independently in a complex matrix environment (incl. remote or virtual team environment) Experience in developing effective working relationships with internal and external stakeholders Organizational awareness, including experience working cross-functionally and in global teams If your profile matches the requirements of the position, we will contact you within the next fifteen (15) days of submitting your application. Otherwise, please kindly consider that your application is unsuccessful. Please note, that we only accept applicants with Swiss or EU/EFTA citizenship or applicants with an existing and valid residence and work permit for Switzerland. Altran is an EEO and Affirmative Action Employer of Females/Minorities/Individuals with Disabilities. Our Offer A permanent contract with the leader in innovation and high-tech engineering consulting A multi-stage model with career opportunities through specialization prospects, as well as with over 45'000 consultants around the world and revenue of EUR. 2.9 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D). In Switzerland, Altran employs more than 250 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva.

General information: Start date: ASAP Duration: 12 months (extension possible) Workload: 100% Work location: Basel On behalf of our client we are looking for an experienced Clinical Study Data Engineer to ensure the successful implementation of a Clinical Platform application, which streamlines clinical study management in early phase trials. To succeed in this role you will develop a strong understanding of the data flow from collection to analysis and filing to user access. Main tasks: Organisation, data flow, and integration of clinical and medical data of various types, such as binary images, image masks, tabular bioassay and tabular clinical data Leading activities around data flows and interfaces to retrieve clinical image data and image annotations, and establishing data standards with external partners Leading regular data integration efforts with external and internal partners, standardizing interfaces and providing feedback on relevant specifications Data wrangling of heterogeneous, multimodal and longitudinal data to perform QC and discover new insights Developing robust and fit-for-purpose solutions for data management, governance, provisioning, QC, and visualisation using databases, file systems, and cloud platforms Documenting datasets and dataset access services and maintaining dataset specifications Establishing links between existing infrastructure and semantic storage and retrieval capabilities Qualification and Experience: M.Sc in Computer Science, Biology or similar discipline Very good practical IT skills and mastering of standard technologies (Web services, HTTP, UNIX, shell programming) Proven experience with data warehousing, data ingestion, and data profiling Proficiency with relational database queries (SQL), pivoting data, and working with clinical data standards(e.g. SDTM format) Ability to work out and report on data summaries of clinical datasets and dataset samples Proficient in Python and/or R, and git Clinical imaging experience (preferably Ophthalmology, Neurology or similar) Proficiency with standard medical image formats (e.g. DICOM, TIFF, MHD) Proficiency with proprietary formats is a plus Comfortable working with other teams, scientific computing and data architects, to offer robust and fit-for-purpose solutions Communication skills for presenting results and ensuring alignment with stakeholders and business partners. Mastering of business intelligence software (e.g. Spotfire) Strong team player, flexible and with a high degree of self-organization, proactive and able to work in matrix environment Fluent in English

An excellent multinational healthcare company is seeking a skilled Study Data Manager, to be based in their office in the desirable area of Basel. The organisation is known internationally for their work in pharmaceuticals and diagnostics and their focus on scientific advancement. This is a chance to join a top healthcare organisation who provide an innovative range of diagnostic solutions and medicines. Job Responsibilities: Working within a team of experts in data life-cycle management who acquire and curate data for use in exploratory research, clinical development and evidence generation. Collaborating with peers within the function and across the organisation to identify, design and execute fit for purpose data management solutions, adhering to F.A.I.R. (Findable, Accessible, Interoperable, Reusable) principles. Ensuring the timely completion of data management deliverables and partner with Functional Service Providers (FSPs) and vendors, overseeing and providing technical expertise in the delivery of high-quality data. Contributing to functional, cross functional, enterprise-wide or external initiatives that shape our technical landscape, business and healthcare environments. In charge of making sure the data coming in is proper, compliant and delivered on time, including includes data review & cleaning. Overseeing both internal and external stakeholders (supplier in India amongst other). Developing risk management strategies and proactively manage timelines to ensure successful oversight and delivery of studies, projects and coding responsibilities, including the implementation and adoption of new technologies. Proactively engage with stakeholders across the business to understand their needs and influence their understanding of decisions made in our function. Inform stakeholders of status of key deliverables and act on changing milestones. Partnering with relevant functions for external data vendor selection and management. Oversee development of data transfer agreements with vendors ensuring use of standards, fit-for-purpose data models and transfer intervals. Acting as experts for data collection, advising teams and stakeholders on best practices and proposing innovative solutions. Ensuring a high quality of data and compliance with applicable pharma industry regulations and standards. Staying current with and adopt emergent data collection, data management, visualisation and provision tools and applications to ensure fit-for-purpose and impactful approaches. Deliver on solutions as needed. Using data surveillance tools and strategies to provide aggregate level reviews designed to identify patterns or anomalies in our data to ensure high quality results. Organisation and integration of data collected from various sources. Maintain value of data through application of FAIR (Findable, Accessible, Interoperable, Reusable) principles. Partnering with stakeholders to understand their data insight needs and offer Data Management solutions. Demonstrate a strong understanding of the data flow from collection through to analysis and filing. Collaborating and contributing to functional/cross-functional initiatives or goals to promote new ways of working, including emerging technologies. Enable broader and more effective use of data to support the business. Offering guidance and advice to peers within the function, to key stakeholders and to FSPs, CRO and collaborative groups on technical solutions to ensure high quality data collection and delivery. Skills and Requirements: 2 years of experience with Data Collection system (e.g. eCRF and others) in pharma 2 years of experience with data management (e.g. data cleaning, data review) 1 year of experience in Clinical Development (early phases preferred) Project Management skills (track record of on time delivery for multiple requests and stakeholder management). Knowledge of CDISC data standards. Knowledge of ICH-GCP and working in regulated environments Experience in a global matrix environment is a plus Good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical expertise is a plus Strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to evolve the way we collect and deliver data and to develop and deliver medicines for our patients. Experience of Data Collection System in Clinical Development (eCRF etc) and able to translate a protocol into Case Report Forms. Project management skills are highly appreciated to be able to manage multiple stakeholders, deadlines and work streams. Clinical Development in pharma experience is necessary To Apply: Please click on the Apply button. Please include a short note outlining why you are interested in the role and why you think you are suitable. In case you have difficulty in applying or if you have any questions, please contact Tom Magenis at 0203 854 1050 or upload your CV on our website - www.proclinical.com. A full job description is available on request. Proclinical is a specialist employment agency and recruitment business, providing job opportunities within major pharmaceutical, biopharmaceutical, biotechnology and medical device companies. #LI-TM1 #Biometrics

General information: Start date: ASAP Duration: 12 months (extension possible) Workload: 100% Work location: Basel On behalf of our client we are looking for an experienced Clinical Study Data Engineer to ensure the successful implementation of a Clinical Platform application, which streamlines clinical study management in early phase trials. To succeed in this role you will develop a strong understanding of the data flow from collection to analysis and filing to user access. Main tasks: Organisation, data flow, and integration of clinical and medical data of various types, such as binary images, image masks, tabular bioassay and tabular clinical data Leading activities around data flows and interfaces to retrieve clinical image data and image annotations, and establishing data standards with external partners Leading regular data integration efforts with external and internal partners, standardizing interfaces and providing feedback on relevant specifications Data wrangling of heterogeneous, multimodal and longitudinal data to perform QC and discover new insights Developing robust and fit-for-purpose solutions for data management, governance, provisioning, QC, and visualisation using databases, file systems, and cloud platforms Documenting datasets and dataset access services and maintaining dataset specifications Establishing links between existing infrastructure and semantic storage and retrieval capabilities Qualification and Experience: M.Sc in Computer Science, Biology or similar discipline Very good practical IT skills and mastering of standard technologies (Web services, HTTP, UNIX, shell programming) Proven experience with data warehousing, data ingestion, and data profiling Proficiency with relational database queries (SQL), pivoting data, and working with clinical data standards(e.g. SDTM format) Ability to work out and report on data summaries of clinical datasets and dataset samples Proficient in Python and/or R, and git Clinical imaging experience (preferably Ophthalmology, Neurology or similar) Proficiency with standard medical image formats (e.g. DICOM, TIFF, MHD) Proficiency with proprietary formats is a plus Comfortable working with other teams, scientific computing and data architects, to offer robust and fit-for-purpose solutions Communication skills for presenting results and ensuring alignment with stakeholders and business partners. Mastering of business intelligence software (e.g. Spotfire) Strong team player, flexible and with a high degree of self-organization, proactive and able to work in matrix environment Fluent in English

We develop, manufacture and supply dental implants, clear aligners, instruments, CADCAM prosthetics and biomaterials for use in esthetic dentistry, tooth replacement and restoration solutions or to prevent tooth loss. We empower our employees to perform and make an impact, to question the status quo, to drive change, to stay ahead of the competition. From the first Dental Implant in 1974 to the latest Digital Solution – we do things differently than others We deliver innovation based on evidence. This is part of our employer culture as well as an exceptional team spirit that truly encourages diversity and a powerful “can-do” attitude. #WeChangeDentistry   every day. Be part of it. Job Description In the role of SAP BI Solution Architect (m/f/x) (100%) you are part of a small internal development team and you will work closely with our internal business partners from Corporate Accounting, Operational Excellence, Sales Excellence, Human Resources, Procurement and Logistics. The position is based in Basel, Switzerland and reports to the Head of Business Intelligence. Your main tasks and responsibility will be to Work closely with the internal customers to understand their needs and provide decision making support Define and implement technical solutions for diverse business partners Facilitate technical designs with implementation partners Play an active role in the application maintenance support Qualifications Bachelor’s degree in Computer Science, Business Information Systems or a related technical field 5+ years’ experience in designing and building SAP BI based reporting solutions, preferably with BW 7.50 on HANA or BW/4HANA Experience with SAP BI IP Integrated Planning, Lumira (Design Studio), SAP Analytics Cloud would be beneficial Good programming skills in ABAP required. Experience with HANA optimized SQL or VBA Macros is a plus Basic process knowledge of SAP ERP or SAP CRM would be beneficial Fluent English and German language skills Experience in project tracking, deviation monitoring, and steering Experienced working in interdisciplinary teams on multiple projects in parallel within a culturally diverse, high paced organization Additional Information What can you expect from us? An agile and ambitious environment: We are   #ChangeMakers. Open, friendly colleagues who   #collaborate   and   #support   each other: We are # Players+Learners . The   #freedom   to   #create   and   #engage : You can leave your   #FootprintInDentistry . An employer who invests in our   #inspiring   corporate   #culture . The   #opportunity   to develop yourself as a person and in your   #career . We   #grow. #Attractive   workplaces at great locations - We are a   #GlobalPlayer . A good salary and many other cool   #benefits   (depending on location). To work for the No. 1 in   #Dentistry   and one of the leading   #MedTech   companies. and many other things more! i-p-r What do people say about us as an employer? See reviews on Indeed - Glassdoor - Kununu (German) Stay tuned and connect with us! @straumannjobs at LinkedIn - Xing - Twitter - Instagram - Pinterest - Quora Please understand that we do not need external support by recruiting agencies and consultants to fill this vacancy. Thank you for respecting this.

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. Aquatic Risk Modelling Postdoc We invite you to help us shape the future of agriculture. To support this challenge, the Product Safety team is currently seeking an Aquatic Risk Modelling Postdoc in our Basel, Switzerland HQ office. The Aquatic Risk Modelling Postdoc will be a three years engagement where you will develop an indicator system for the environmental risk of crop protection measures on aquatic systems. This indicator will be a globally applicable digital tool and reflect local environmental conditions and agronomic practices In this role you will: Review Scientific literature on environmental risk indicators Develop environmental risk indicator for aquatic systems system Coordinate with environmental fate, ecotoxicology and environmental risk assessment experts Acquire & maintain scientific and technical modelling expertise Deliver and present relevant novel research (incl. scientific publications & conference presentations) Qualifications We are looking for: Critical knowledge and experience A good understanding of environmental fate, ecological & effect modelling along with current knowledge of risk modelling techniques A PhD degree in a relevant area of science Track record relating to one or more of the following areas:  environmental fate and ecotoxicology of chemicals, ecological modelling, ecotoxicological effects, environmental risk indicators, Bayesian Network Models, environmental models, agronomy models Experience in developing and applying models Ability to design, build and analyse environmental systems models Ability to analyse and interpret complex data Readiness for occasional international business travels Critical technical, professional and personal capabilities Commitment to achieve objectives individually and within a team Effective communication skills Strong interpersonal skills Ability to skillfully plan, organize and monitor performance to meet deadlines Motivation towards publishing in peer-reviewed literature Creative problem solving skills We Offer The opportunity to contribute to valuable and impactful work for the agriculture of the future A stimulating international environment -> #bringingplantpotentialtolife An open, multicultural and pleasant working environment with state of the art facilities Flat hierarchy and an open culture Please submit an online application in English via the link enclosed. With your up to date CV please include a motivation letter and university degrees. Lieu principal:  CHE-Basel-Bâle Emploi:  Management des Ressources Humaines