![]()
Head of Operational Excellence and Project Management Office (gn) Formycon is an international leading, independent developer of high-quality biopharmaceutical medicines, especially biosimilars. With an experienced team comprised of around 240 highly skilled professionals, the company is able to span the entire value chain of biosimilar drug development, from market analysis and target definition by protein analytics, to the development of production processes, to clinical trials and the regulatory approval process. Our focus is on treatments in ophthalmology and immunology as well as for other key chronic diseases. Formycon is making a major contribution towards providing as many patients as possible with access to vital and affordable medicines. To support our team in Martinsried near Munich, we are looking for suitable candidates for this full-time and permanent position, to begin work as soon as possible. In this position you will play a pivotal role in enhancing Formycon's efficiency and effectiveness. Your responsibilities include working with people, managing core operations, overseeing project delivery, and contributing to company strategy. Additionally, you engage and develop team members under your supervision. This includes but is not limited to the following tasks: Work with cross-functional teams to identify process bottlenecks and gaps, inefficiencies, and areas for cost reduction, proposing innovative solutions. Identify critical process gaps and coordinate their implementation with relevant departments. Plan, lead, drive, and execute business-critical improvement projects using Lean/DMAIC approaches or similar approaches and (lean) Project Management methodologies to ensure successful outcomes Develop and implement operational excellence strategies aligned with organizational goals, ensuring integration with business processes and systems Calculate cost savings and assist the team in defining, establishing, and monitoring key performance indicators (KPIs) to track progress and impact of operational excellence initiatives Design and execute training programs for staff on operational excellence principles, tools, and techniques (including White and Yellow Belt certifications) Report on the progress of innovation projects in monthly Continuous Improvement steering committee meetings Take accountability for the Project Management Office (PMO) organization and its ongoing activities (generic project plan, internal harmonization, etc.) Assist Project Leaders (PLs) and Program Directors (PDs) in project operations as needed, including preparing project plans and budgets, and managing invoices Coordinate with the Project Controller and Finance teams to transfer and maintain financial data from Operations Oversee documentation and updating of processes to reflect current best practices and compliance with regulations, e.g. develop Standard Operating Procedures (SOPs) for PM-relevant organizational processes, such as project risk management and MACS user manuals Stay ahead of industry trends by researching and implementing new technologies or methodologies to enhance operational efficiency A university degree in Engineering, Science, Business Administration or related fields, or equivalent relevant experience Minimum of 10 years of experience in operations management or related area, preferably within the pharmaceutical industry and with a proven track record in Project Management Office (PMO) operations A certification as a Green Belt or above, with demonstrated experience in implementing lean tools and/or Six Sigma methodologies in matrix organizations A certification as Project Management Professional (PMP) is considered advantageous Strong communication, negotiation, and conflict resolution skills Ability to effectively collaborate within diverse teams and departments, with a demonstrated ability to influence others towards positive outcomes Strong self-motivation and the ability to drive execution independently with minimal supervision Excellent leadership abilities Proficiency in English for business communication is essential. Knowledge of additional languages is advantageous Flexible working time Hybrid work 30 days paid vacation Formycon pension Group accident insurance Formycon card Continuing education offers Team spirit, great working atmosphere and much more! Bring us your skills and energy, and shape your own career in a stimulating and open work environment. We are looking for highly motivated individuals who are ready to take on new challenges with enthusiasm and personal commitment. Working at Formycon means being part of a smart, innovative team with minimal hierarchy and opportunity to share your own ideas.
Job Nature: Permanent
Krailling, Bayern Germany
TRAFFIC
![]()
Head of Operational Excellence and Project Management Office (gn) Formycon is an international leading, independent developer of high-quality biopharmaceutical medicines, especially biosimilars. With an experienced team comprised of around 240 highly skilled professionals, the company is able to span the entire value chain of biosimilar drug development, from market analysis and target definition by protein analytics, to the development of production processes, to clinical trials and the regulatory approval process. Our focus is on treatments in ophthalmology and immunology as well as for other key chronic diseases. Formycon is making a major contribution towards providing as many patients as possible with access to vital and affordable medicines. To support our team in Martinsried near Munich, we are looking for suitable candidates for this full-time and permanent position, to begin work as soon as possible. In this position you will play a pivotal role in enhancing Formycon's efficiency and effectiveness. Your responsibilities include working with people, managing core operations, overseeing project delivery, and contributing to company strategy. Additionally, you engage and develop team members under your supervision. This includes but is not limited to the following tasks: Work with cross-functional teams to identify process bottlenecks and gaps, inefficiencies, and areas for cost reduction, proposing innovative solutions. Identify critical process gaps and coordinate their implementation with relevant departments. Plan, lead, drive, and execute business-critical improvement projects using Lean/DMAIC approaches or similar approaches and (lean) Project Management methodologies to ensure successful outcomes Develop and implement operational excellence strategies aligned with organizational goals, ensuring integration with business processes and systems Calculate cost savings and assist the team in defining, establishing, and monitoring key performance indicators (KPIs) to track progress and impact of operational excellence initiatives Design and execute training programs for staff on operational excellence principles, tools, and techniques (including White and Yellow Belt certifications) Report on the progress of innovation projects in monthly Continuous Improvement steering committee meetings Take accountability for the Project Management Office (PMO) organization and its ongoing activities (generic project plan, internal harmonization, etc.) Assist Project Leaders (PLs) and Program Directors (PDs) in project operations as needed, including preparing project plans and budgets, and managing invoices Coordinate with the Project Controller and Finance teams to transfer and maintain financial data from Operations Oversee documentation and updating of processes to reflect current best practices and compliance with regulations, e.g. develop Standard Operating Procedures (SOPs) for PM-relevant organizational processes, such as project risk management and MACS user manuals Stay ahead of industry trends by researching and implementing new technologies or methodologies to enhance operational efficiency A university degree in Engineering, Science, Business Administration or related fields, or equivalent relevant experience Minimum of 10 years of experience in operations management or related area, preferably within the pharmaceutical industry and with a proven track record in Project Management Office (PMO) operations A certification as a Green Belt or above, with demonstrated experience in implementing lean tools and/or Six Sigma methodologies in matrix organizations A certification as Project Management Professional (PMP) is considered advantageous Strong communication, negotiation, and conflict resolution skills Ability to effectively collaborate within diverse teams and departments, with a demonstrated ability to influence others towards positive outcomes Strong self-motivation and the ability to drive execution independently with minimal supervision Excellent leadership abilities Proficiency in English for business communication is essential. Knowledge of additional languages is advantageous Flexible working time Hybrid work 30 days paid vacation Formycon pension Group accident insurance Formycon card Continuing education offers Team spirit, great working atmosphere and much more! Bring us your skills and energy, and shape your own career in a stimulating and open work environment. We are looking for highly motivated individuals who are ready to take on new challenges with enthusiasm and personal commitment. Working at Formycon means being part of a smart, innovative team with minimal hierarchy and opportunity to share your own ideas.
Job Nature: Permanent
Krailling, Bayern Germany
TRAFFIC
![]()
Faculty of Mathematics and Natural Sciences Postdoc position in Computational Biology (f/m/x) Collaborative Research Center Predictability in Evolution and Institute for Biological Physics We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration. The Collaborative Research Center Predictability in Evolution is a leading consortium in experimental and theoretical studies of evolutionary processes. We focus on fast evolution in microbial, viral, cancer, and immune systems, which have a wide range of biomedical applications. At the University of Cologne and its partner institutions, the DFG-funded Center unites a strong and interdisciplinary spectrum of competence in molecular genetics, biophysics, medicine, and theoretical modelling. All members take full benefits of the Center's joint research and training facilities. We are looking for an excellent Computational Biologist to play an integral part in the science of our Center. Analysis of high-throughput molecular data Algorithm design and optimization for dedicated evolutionary problems Developing and implementing strategies for research data management Developing independent strategies for data evaluation and scientific problem solving Close cooperation with project scientists: involvement from the planning of experiments to the interpretation of the results Doctoral degree in a relevant field Algorithm design skills and/or experience with the analysis of molecular high-throughput data Proven knowledge of methods of molecular biological high-throughput data analysis preferably single cell RNA-seq analysis Interest in the scientific focus of the Center Excellent written and oral communication skills in English An exciting, interactive, and diverse research environment A chance to acquire top-notch skills in computational science and problem solving A diverse work environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz - LGG NRW). We also expressly welcome applications from people with disabilities / special needs or of equal status. The position is available immediately on a full-time basis (39,83 hours per week). The contracts are to be filled for a fixed term until 31 December 2025, with the possibility of extension pending reapproval of the CRC 1310. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.
Job Nature: Permanent
Köln, Nordrhein-Westfalen Germany
TRAFFIC
![]()
Faculty of Mathematics and Natural Sciences Postdoc position in Computational Biology (f/m/x) Collaborative Research Center Predictability in Evolution and Institute for Biological Physics We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration. The Collaborative Research Center Predictability in Evolution is a leading consortium in experimental and theoretical studies of evolutionary processes. We focus on fast evolution in microbial, viral, cancer, and immune systems, which have a wide range of biomedical applications. At the University of Cologne and its partner institutions, the DFG-funded Center unites a strong and interdisciplinary spectrum of competence in molecular genetics, biophysics, medicine, and theoretical modelling. All members take full benefits of the Center's joint research and training facilities. We are looking for an excellent Computational Biologist to play an integral part in the science of our Center. Analysis of high-throughput molecular data Algorithm design and optimization for dedicated evolutionary problems Developing and implementing strategies for research data management Developing independent strategies for data evaluation and scientific problem solving Close cooperation with project scientists: involvement from the planning of experiments to the interpretation of the results Doctoral degree in a relevant field Algorithm design skills and/or experience with the analysis of molecular high-throughput data Proven knowledge of methods of molecular biological high-throughput data analysis preferably single cell RNA-seq analysis Interest in the scientific focus of the Center Excellent written and oral communication skills in English An exciting, interactive, and diverse research environment A chance to acquire top-notch skills in computational science and problem solving A diverse work environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz - LGG NRW). We also expressly welcome applications from people with disabilities / special needs or of equal status. The position is available immediately on a full-time basis (39,83 hours per week). The contracts are to be filled for a fixed term until 31 December 2025, with the possibility of extension pending reapproval of the CRC 1310. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.
Job Nature: Permanent
Köln, Nordrhein-Westfalen Germany
TRAFFIC
![]()
Faculty of Mathematics and Natural Sciences Postdoc position in Computational Biology (f/m/x) Collaborative Research Center Predictability in Evolution and Institute for Biological Physics We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration. The Collaborative Research Center Predictability in Evolution is a leading consortium in experimental and theoretical studies of evolutionary processes. We focus on fast evolution in microbial, viral, cancer, and immune systems, which have a wide range of biomedical applications. At the University of Cologne and its partner institutions, the DFG-funded Center unites a strong and interdisciplinary spectrum of competence in molecular genetics, biophysics, medicine, and theoretical modelling. All members take full benefits of the Center's joint research and training facilities. We are looking for an excellent Computational Biologist to play an integral part in the science of our Center. Analysis of high-throughput molecular data Algorithm design and optimization for dedicated evolutionary problems Developing and implementing strategies for research data management Developing independent strategies for data evaluation and scientific problem solving Close cooperation with project scientists: involvement from the planning of experiments to the interpretation of the results Doctoral degree in a relevant field Algorithm design skills and/or experience with the analysis of molecular high-throughput data Proven knowledge of methods of molecular biological high-throughput data analysis preferably single cell RNA-seq analysis Interest in the scientific focus of the Center Excellent written and oral communication skills in English An exciting, interactive, and diverse research environment A chance to acquire top-notch skills in computational science and problem solving A diverse work environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz - LGG NRW). We also expressly welcome applications from people with disabilities / special needs or of equal status. The position is available immediately on a full-time basis (39,83 hours per week). The contracts are to be filled for a fixed term until 31 December 2025, with the possibility of extension pending reapproval of the CRC 1310. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.
Job Nature: Permanent
Köln, Nordrhein-Westfalen Germany
TRAFFIC
![]()
The Max Planck Institute for Molecular Genetics (MPIMG) is an international research institute with about 360 employees dedicated to functional genomics, focusing on gene regulation and epigenomic control mechanisms in mammalian development and disease. The MPIMG, particularly its Department for Genome Regulation (Director: Alexander Meissner), provides an unparalleled training and teaching environment for highly skilled, ambitious researchers seeking challenges at the cutting edge of understanding epigenetic mechanisms. The Department for Genome Regulation offers a for two years limited full-time position, starting as soon as possible, as a Senior Research Assistant / Postdoc (f/m/div) in Computational Biology / Bioinformatics with a Focus on Data Analysis and Epigenetics (up to E 13 according to the TVöD Bund salary scale) We are seeking a highly motivated fellow with a background in computational biology / bioinformatics / data science to join the team of Prof. Dr. Alexander Meissner, director of the Department for Genome Regulation located at the Max Planck Institute for Molecular Genetics in Berlin-Dahlem. The Meissner lab is dedicated to decoding the role of epigenetic regulation in contexts of development and disease. We utilize various forms of state-of-the-art sequencing devices, which can decode the entire epigenetic material of a human being within a few days and thereby create terabytes of DNA data, which need to be analyzed, understood, and visualized to expand our knowledge on developmental regulation and disease states such as the transition from healthy tissue to cancer. Our lab strives to be a welcoming and supportive environment where people of all backgrounds work collaboratively and focus on cutting-edge basic and translational science. Lab members typically focus on one or two areas of interest in the fields of epigenomic and transcriptomic genome regulation in developmental or cancer research using single-cell and next as well as third generation technologies. We provide extensive on-the-job training as needed for the projects. The position is offered initially for two years with the possibility of further extensions. The successful applicant will work in close collaboration with an international, interdisciplinary, and highly collaborative group of experimental scientists and be embedded in the computational group of the Department for Genome Regulation. The candidate will have access to all necessary computational infrastructure and will be included in various projects investigating epigenomic and transcriptomic second and third generation sequencing data. We provide a dynamic and stimulating environment in which the candidate will have the opportunity to grow and improve their biological knowledge and computational skills. The ideal candidate has a strong computational and analytical background, interest in and possible experience in the analysis of epigenetic and transcriptomic sequencing data, and the ability to integrate and work within a team of scientists. The general responsibilities will include, but are not limited to, the following activities: End-to-end processing and analysis of genomic sequencing data to address questions in translational bioinformatics with a focus on developmental and disease models Integration and analysis of single-cell RNA sequencing and potentially methylation data Participation in the preparation of manuscripts and scientific presentations Document progress, communicate and present analyses verbally and in writing to the group, institute members, and collaboration partners Work with group members and collaborators as well as independently on experimental design, data analysis, visualization, and interpretation Master's degree or PhD degree in quantitative science (e.g., bioinformatics, computational biological, chemical, physical, or data sciences) or with significant experience in computational biology and data analyses Experience in next-generation sequencing data processing, analysis, and visualization, as well as a basic understanding of molecular genetics Strong self-motivation, organizational skills, and the ability to contribute and develop scientific projects Scientific curiosity in the areas named above with a keen interest in learning new skills, analysis methods, and interpretation of results Ability to work in a team of young scientists, to be team-oriented, have excellent communication skills, and be driven by the interest in solving biological questions using computational approaches A varied job in an amazing and fun team located in one of the world's leading research institutes Flat hierarchies and a short decision-making process Very good opportunities for further education and training An initially limited full-time position (39 hours / week), but part-time can also be possible 30 vacation days per year (with a five-day week) Flexible work hours and the option to work mobile
Job Nature: Permanent
Dahlem, Berlin Germany
TRAFFIC
![]()
The Max Planck Institute for Molecular Genetics (MPIMG) is an international research institute with about 360 employees dedicated to functional genomics, focusing on gene regulation and epigenomic control mechanisms in mammalian development and disease. The MPIMG, particularly its Department for Genome Regulation (Director: Alexander Meissner), provides an unparalleled training and teaching environment for highly skilled, ambitious researchers seeking challenges at the cutting edge of understanding epigenetic mechanisms. The Department for Genome Regulation offers a for two years limited full-time position, starting as soon as possible, as a Senior Research Assistant / Postdoc (f/m/div) in Computational Biology / Bioinformatics with a Focus on Data Analysis and Epigenetics (up to E 13 according to the TVöD Bund salary scale) We are seeking a highly motivated fellow with a background in computational biology / bioinformatics / data science to join the team of Prof. Dr. Alexander Meissner, director of the Department for Genome Regulation located at the Max Planck Institute for Molecular Genetics in Berlin-Dahlem. The Meissner lab is dedicated to decoding the role of epigenetic regulation in contexts of development and disease. We utilize various forms of state-of-the-art sequencing devices, which can decode the entire epigenetic material of a human being within a few days and thereby create terabytes of DNA data, which need to be analyzed, understood, and visualized to expand our knowledge on developmental regulation and disease states such as the transition from healthy tissue to cancer. Our lab strives to be a welcoming and supportive environment where people of all backgrounds work collaboratively and focus on cutting-edge basic and translational science. Lab members typically focus on one or two areas of interest in the fields of epigenomic and transcriptomic genome regulation in developmental or cancer research using single-cell and next as well as third generation technologies. We provide extensive on-the-job training as needed for the projects. The position is offered initially for two years with the possibility of further extensions. The successful applicant will work in close collaboration with an international, interdisciplinary, and highly collaborative group of experimental scientists and be embedded in the computational group of the Department for Genome Regulation. The candidate will have access to all necessary computational infrastructure and will be included in various projects investigating epigenomic and transcriptomic second and third generation sequencing data. We provide a dynamic and stimulating environment in which the candidate will have the opportunity to grow and improve their biological knowledge and computational skills. The ideal candidate has a strong computational and analytical background, interest in and possible experience in the analysis of epigenetic and transcriptomic sequencing data, and the ability to integrate and work within a team of scientists. The general responsibilities will include, but are not limited to, the following activities: End-to-end processing and analysis of genomic sequencing data to address questions in translational bioinformatics with a focus on developmental and disease models Integration and analysis of single-cell RNA sequencing and potentially methylation data Participation in the preparation of manuscripts and scientific presentations Document progress, communicate and present analyses verbally and in writing to the group, institute members, and collaboration partners Work with group members and collaborators as well as independently on experimental design, data analysis, visualization, and interpretation Master's degree or PhD degree in quantitative science (e.g., bioinformatics, computational biological, chemical, physical, or data sciences) or with significant experience in computational biology and data analyses Experience in next-generation sequencing data processing, analysis, and visualization, as well as a basic understanding of molecular genetics Strong self-motivation, organizational skills, and the ability to contribute and develop scientific projects Scientific curiosity in the areas named above with a keen interest in learning new skills, analysis methods, and interpretation of results Ability to work in a team of young scientists, to be team-oriented, have excellent communication skills, and be driven by the interest in solving biological questions using computational approaches A varied job in an amazing and fun team located in one of the world's leading research institutes Flat hierarchies and a short decision-making process Very good opportunities for further education and training An initially limited full-time position (39 hours / week), but part-time can also be possible 30 vacation days per year (with a five-day week) Flexible work hours and the option to work mobile
Job Nature: Permanent
Dahlem, Berlin Germany
TRAFFIC
![]()
Biologist (f/m/x)
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. Hans-Knöll-Institut (HKI)
Job Advertisement Leibniz-HKI-35/2024 The Leibniz Institute for Natural Product Research and Infection Biology ( Leibniz-HKI ) investigates the pathobiology of microorganisms and develops novel natural product-based anti-infectives. The Leibniz-HKI invites talented and highly qualified candidates to apply for a position as a Postdoctoral Researcher (m/f/div) on "Therapeutic Microbes" for two years initially, with the perspective to establish an own research group. The successful candidate will aim to develop genetically modified microorganisms for therapeutic use that are targeted directly to the site of the disease, for example in the gut, to release anti- infective compounds. The goal is to develop effective treatments against pathogens while keeping the native microbiome intact. The project "Therapeutic Microbes" will strengthen our research in synthetic biology and enhance the translational approaches to develop new treatments for infectious diseases. We seek applications from highly committed postdoctoral researchers with international experience and an outstanding scientific track record. Candidates with background in microbiology or synthetic biology and enthusiasm for both translational science as well as novel therapeutic concepts are welcome to apply. The group will be integrated into the Leibniz-HKI, embedded in an outstanding scientific environment with state-of-the-art research facilities and top equipment. It will be closely associated with the Leibniz Center for Photonics in Infection Research (LPI). The successful candidate is expected to actively collaborate within our interdisciplinary research community. She/He will be encouraged to participate in the structured doctoral training programs ILRS (International Leibniz Research School for Microbial and Biomolecular Interactions) and JSMC (Jena School for Microbial Communication) and the Cluster of Excellence Balance of the Microverse. A PhD (or equivalent) in life sciences, preferably in microbiology or synthetic biology, degree obtained no longer than four years ago An excellent track record in your research area as well as successful interdisciplinary cooperation The ability to work creatively and independently towards developing your own research group An integrative personality with enthusiasm for actively participating in the dynamic Leibniz-HKI community The willingness to apply for further third-party funding and contribute to collaborative projects We encourage applications from researchers who spent time abroad and wish to return to Germany to establish a scientific career here A highly communicative atmosphere within a scientific network providing top-level research An outstanding scientific environment at the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups Remuneration in accordance with German TV-L (salary agreement for public service employees) Attractive staff benefits and a family-friendly working environment with flexible working options Further information: Dr. Christine Vogler -1447
Job Nature: Permanent
Jena, Thüringen Germany
TRAFFIC
![]()
Biologe (f/m/x)
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. Hans-Knöll-Institut (HKI)
Job Advertisement Leibniz-HKI-35/2024 The Leibniz Institute for Natural Product Research and Infection Biology ( Leibniz-HKI ) investigates the pathobiology of microorganisms and develops novel natural product-based anti-infectives. The Leibniz-HKI invites talented and highly qualified candidates to apply for a position as a Postdoctoral Researcher (m/f/div) on "Therapeutic Microbes" for two years initially, with the perspective to establish an own research group. The successful candidate will aim to develop genetically modified microorganisms for therapeutic use that are targeted directly to the site of the disease, for example in the gut, to release anti- infective compounds. The goal is to develop effective treatments against pathogens while keeping the native microbiome intact. The project "Therapeutic Microbes" will strengthen our research in synthetic biology and enhance the translational approaches to develop new treatments for infectious diseases. We seek applications from highly committed postdoctoral researchers with international experience and an outstanding scientific track record. Candidates with background in microbiology or synthetic biology and enthusiasm for both translational science as well as novel therapeutic concepts are welcome to apply. The group will be integrated into the Leibniz-HKI, embedded in an outstanding scientific environment with state-of-the-art research facilities and top equipment. It will be closely associated with the Leibniz Center for Photonics in Infection Research (LPI). The successful candidate is expected to actively collaborate within our interdisciplinary research community. She/He will be encouraged to participate in the structured doctoral training programs ILRS (International Leibniz Research School for Microbial and Biomolecular Interactions) and JSMC (Jena School for Microbial Communication) and the Cluster of Excellence Balance of the Microverse. A PhD (or equivalent) in life sciences, preferably in microbiology or synthetic biology, degree obtained no longer than four years ago An excellent track record in your research area as well as successful interdisciplinary cooperation The ability to work creatively and independently towards developing your own research group An integrative personality with enthusiasm for actively participating in the dynamic Leibniz-HKI community The willingness to apply for further third-party funding and contribute to collaborative projects We encourage applications from researchers who spent time abroad and wish to return to Germany to establish a scientific career here A highly communicative atmosphere within a scientific network providing top-level research An outstanding scientific environment at the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups Remuneration in accordance with German TV-L (salary agreement for public service employees) Attractive staff benefits and a family-friendly working environment with flexible working options Further information: Dr. Christine Vogler -1447
Job Nature: Permanent
Jena, Thüringen Germany
TRAFFIC
![]()
Job Advertisement Leibniz-HKI-35/2024 The Leibniz Institute for Natural Product Research and Infection Biology ( Leibniz-HKI ) investigates the pathobiology of microorganisms and develops novel natural product-based anti-infectives. The Leibniz-HKI invites talented and highly qualified candidates to apply for a position as a Postdoctoral Researcher (m/f/div) on "Therapeutic Microbes" for two years initially, with the perspective to establish an own research group. The successful candidate will aim to develop genetically modified microorganisms for therapeutic use that are targeted directly to the site of the disease, for example in the gut, to release anti- infective compounds. The goal is to develop effective treatments against pathogens while keeping the native microbiome intact. The project "Therapeutic Microbes" will strengthen our research in synthetic biology and enhance the translational approaches to develop new treatments for infectious diseases. We seek applications from highly committed postdoctoral researchers with international experience and an outstanding scientific track record. Candidates with background in microbiology or synthetic biology and enthusiasm for both translational science as well as novel therapeutic concepts are welcome to apply. The group will be integrated into the Leibniz-HKI, embedded in an outstanding scientific environment with state-of-the-art research facilities and top equipment. It will be closely associated with the Leibniz Center for Photonics in Infection Research (LPI). The successful candidate is expected to actively collaborate within our interdisciplinary research community. She/He will be encouraged to participate in the structured doctoral training programs ILRS (International Leibniz Research School for Microbial and Biomolecular Interactions) and JSMC (Jena School for Microbial Communication) and the Cluster of Excellence Balance of the Microverse. A PhD (or equivalent) in life sciences, preferably in microbiology or synthetic biology, degree obtained no longer than four years ago An excellent track record in your research area as well as successful interdisciplinary cooperation The ability to work creatively and independently towards developing your own research group An integrative personality with enthusiasm for actively participating in the dynamic Leibniz-HKI community The willingness to apply for further third-party funding and contribute to collaborative projects We encourage applications from researchers who spent time abroad and wish to return to Germany to establish a scientific career here A highly communicative atmosphere within a scientific network providing top-level research An outstanding scientific environment at the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups Remuneration in accordance with German TV-L (salary agreement for public service employees) Attractive staff benefits and a family-friendly working environment with flexible working options Further information: Dr. Christine Vogler -1447
Job Nature: Permanent
Jena, Thüringen Germany
TRAFFIC
