Duties: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Requirements: PhD in Bioinformatics, Statistics/Biostatistics, Applied Mathematics, Data Science, Computer Science, or related fields. Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science. A highly motivated and independent researcher with a strong quantitative scientific background. Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems

Duties: Participate in implementation and evaluation of leading-edge machine learning methods related to cancer immunotherapy; Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design; Stay abreast of scientific findings and technological developments and continuously improve computational methodology; Maintain detailed documentation of data analysis methods and results; Present findings and participate in cross-function team meetings
Requirements: MS degree in Computational Biology, Bioinformatics, Computer Science, or a related field; Strong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicine; Proficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data; Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch)

Duties: Computational analysis of large, complex, single cell genomics datasets from in vitro cellular model systems ; Deliver testable hypotheses/insights from complex high-dimensional data to inform target selection ; Linking results and insights between internal and public data, as well as orthogonal data such as human genetics. ; Identify and validate approaches to improve quality and efficiency of hypothesis generation from model systems ; Maintain awareness of emerging methods in computational biology and applications for novel omics technologies ; Provide ad-hoc bioinformatics support to cross-disciplinary project teams 
Requirements: PhD in Bioinformatics, Biostatistics, Computer Science, Computational Biology, Genetics, Mathematics, Physics, Statistics or other related discipline ; 2-3 years post PhD experience applying quantitative approaches to solve biological problems ; Knowledge and experience of single-cell transcriptomic data and analyses; additional modalities such as histone modification data analysis considered a plus. ; Strong knowledge of applied statistics and machine learning (in particular deep generative models) ; Strong statistical and scripting programming skills (Python/R/etc.) 

Duties: Setting up, operating and maintaining pilot plant equipment related to the company's separation process technology Collaborating on cross functional teams to conduct experimental runs while maintaining a safe working environment Utilizing strong mechanical aptitude and problem-solving skills Ability to work flexible/extended schedules with rotating shifts (days, afternoons or overnights) if needed Carry out HAZOPs and complete HAZOP action items Experience in transporting and handling chemicals in different packaging sizes
Requirements: Diploma/Degree in Chemical engineering, Biochemical engineering, Environmental engineering or related fields; 5 to 7 years of experience in industrial plant, pharmaceutical, petrochemical or flavor and fragrance process environment; Knowledge of separation processes such as distillation, Liquid-Liquid extraction, and crystallization; Experience in commissioning and operating process plant; Knowledge of conducting Risk Assessment, methodology in Process Safety (PHA, What-ifs, ), Change Management; Working knowledge of Electrical, Instrumentation & Controls, Mechanical systems etc

Duties: Les activités seront réparties de la manière suivante: travail expérimental en laboratoire (60%); travail d’acquisition et d’imagerie (20%); travail d’analyse et de compilation des résultats (10%); travail de recherche bibliographique et comptes-rendus (10%)
Requirements: Maîtrise expérimentale en culture cellulaire, biologie cellulaire, biologie moléculaire, imagerie confocal; Maîtrise des techniques de productin et purification des protéines in vitro; Maîtrise de logiciels informatiques types Power point (assemblage des résultats), ImageJ (analyse des résultats), Word (rédaction), Excel (tableaux et statistiques), Maxquant, ChimeraX; Maîtrise de l’anglais

Duration: 2 y
Duties: The research aims to fill in the gaps by assessing how the ecological communities of pollinators, plants and microbes are structured and how they function, in regard to plant usage and microbe sharing, in different environments, and in the presence and in the absence of managed pollinators. We use cutting-edge molecular tools, namely DNA metabarcoding and metagenomics to identify the interacting taxa. We study pollination communities primarily in the Boreal zone, but also in the Arctic
Requirements: The successful candidate should have a PhD in community ecology, functional ecology, or a closely related field. Previous experience is required in at least one of the following: fieldwork in terrestrial ecosystems, DNA metabarcoding, and advanced statistical methods in community ecology. Excellent written and verbal communication skills, ability to conceive, execute and complete research projects, ability to think independently and creatively as well as ability to work in a team and independently are expected. Experience in working with questions and methods related pollinators, plants and/or microbes is meriting

Department: Agricultural Sciences
Duties: The research will aim to study the biological role of some secondary metabolites, as tryptamine and serotonin, which are; synthetised in the cells of some plant species. The MicroTom tomato model species will be utilised. In particular, the role; of these compounds in the response to biotic and abiotic stress and their effect on endophytic communities will be; studied from a physiological, molecular and metabolomic point of view, through the use of 'knock out'mutants for the; various enzymes of their pathway biosynthetic
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: Conduire, en adaptant les conditions expérimentales, un ensemble de techniques de microbiologie (ex.: cultures de procaryotes thermophiles ou hyperthermophiles en conditions axéniques); Contribuer à la caractérisation des solides altérés en fin d’expérience; Rédiger et actualiser des protocoles et des notes techniques; Accompagner les étudiants dans leur apprentissage des bases de microbiologie; Participer à la rédaction d’articles scientifiques; Assurer un suivi des appareils de laboratoire de microbiologie (hotte à flux laminaire, centrifugeuse, incubateurs, autoclave…); Gérer les stocks et les commandes de matériels courants et consommables; Veiller à la mise en application des règles d’hygiène et de sécurité au laboratoire
Requirements: Avoir de solides compétences en microbiologie; Avoir des compétences complémentaires en caractérisation des matériaux; Avoir la capacité de travailler dans un environnement collaboratif et interdisciplinaire; Posséder des compétences démontrées en communication écrite et orale en anglais; Justifier d’une expérience en laboratoire de recherche; Capacité de lecture, de compréhension et de mise en place de méthodes issues de publications scientifiques; Rigueur, autonomie, dynamisme, bonne capacité à travailler en équipe

Duties: This project will utilise pharmaceutical methods and principles to enhance the stability of new vaccine antigens and adjuvants, provided by our colleagues, to create needle-free, stable, immunogenic P. vivax vaccines. Our EU-funded consortium will build on exciting breakthroughs in malaria research to integrate state-of-the-art advances in parasite immunology, vaccine design and delivery, and innovative pre-clinical and clinical studies. Here in UCC, we focus on finding solutions to current global vaccine accessibility issues by developing stable vaccine delivery technologies
Requirements: We are seeking a highly motivated and self-driven scientist in the biopharmaceutical sciences, with an ability to work to a high standard and as part of a team. The scientist should have direct experience of working in vaccine formulation or on complex biologics, ideally in development of solid dosage forms. The scientist must have excellent communication, planning, team-working, practical, problem solving, record-keeping skills and previously demonstrated innovation. The scientist must have a track record in publishing previous work, hold a primary and/or secondary degree in Pharmacy or related Pharmaceutical Science discipline. Experience of working in a commercial environment is desirable

Duties: Develop theoretical and computational models for interfacial flow and wetting on cell membranes; Implement and solve numerically the theoretical membrane model; Collaborate with experimentalists; Develop independence and be self-driven to advance with their research project; Work in an interdisciplinary team with expertise in mechanics, biology, physics and biophysics; Follow our PhD program that include an educational component
Requirements: Master’s degree or equivalent in mechanics, fluid mechanics, biophysics, physics or applied mathematics; Excellent oral and written communication skills in English

Duties: Successful applicants will join an exciting research project that aims to understand how cool temperatures, such as experienced during torpor, affect the cellular circadian clock. The circadian clock is a fundamental cellular timekeeper that impacts on most aspects of the physiology of cells and organisms. This BBSRC-funded project builds on recent findings from our labs that identified a novel link between extreme cooling and the circadian clock. We aim to exploit these insights to unravel the molecular mechanisms that underpin the rhythmic expression of circadian core clock genes
Requirements: Knowledge and experience of circadian biology; Previous work with mouse models; Holds a DPhil or equivalent; Capacity to plan and execute research programs; Ability to present and write research articles; Work within a team to deliver in a timely fashion

Duties: Your research will be to develop new chemical transformations, especially in water, for applications towards, transparent, functional, and chemical recyclable polymeric materials. Your particular focus will be on method development
Requirements: We are searching for a person with a PhD degree in area of Organic Chemistry focus on Catalysis, merit is given to documented interest in advanced NMR characterization, either though scientific publications or documented coursework. The personal qualities that we are looking for are, structured, organized and a deep interest in fundamental research. Fluency in English, both verbally and in writing is a requirement

Duties: We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics data, using dedicated s...
Requirements: The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas; Prior experience in large-scale data processing and statistics/machine learning is required; Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV; Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous; The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research; Fluency in oral and written English

Duties: Attività di ricerca applicata nel campo delle applicazioni di salute di precisione abilitate dall'IA, utilizzando vari algoritmi per consentire il riutilizzo dei dati sanitari esistenti e di altri dati sanitari a supporto della ricerca clinica e dell'assistenza clinica; Applicazioni di IA responsabile di algoritmi di apprendimento automatico superficiale e profondo in ambito sanitario; Scrivere articoli scientifici per riviste e atti di conferenze, documenti di progetto e relazioni interne; Presentare i risultati della ricerca a un vasto pubblico, tra cui conferenze, workshop e riunioni di revisione dei progetti; Partecipare all'insegnamento e al tutoraggio degli studenti
Requirements: Laurea magistrale in informatica, scienza dei dati, informatica medica, ingegneria del software o campi correlati, già conseguita o in fase di completamento; Esperienza nell'apprendimento automatico superficiale e profondo; Forte motivazione e impegno nella ricerca e nella pubblicazione in conferenze e riviste di alto livello; Forti capacità di programmazione, con familiarità con Python (o Java); Conoscenza dell'inglese scritto e parlato; Buone capacità organizzative, capacità di lavorare in modo indipendente e proattivo

Duties: Kultivierung und praktische Versuche mit verschiedenen Pilz-Spezies; Isolierung von verschiedenen Immunzellen und Anzucht von Tumorzellen; Immunologische Analysen zur Interaktion von Pilzen mit der zellulären und humoralen Immunität; Planung und statistische Auswertungen der Experimente; Mitarbeit an Projektberichten, Evaluationen und Publikationen etc; Kooperation in einem interdisziplinären Team
Requirements: ein zum Themenbereich passendes, abgeschlossenes Master- Magister- oder Diplomstudium; gute Deutsch- und Englischkenntnisse in Wort und Schrift; Eigenständiges Arbeiten, Teamfähigkeit und Kommunikationsbereitschaft; Geschick und Sorgfalt für das praktische Arbeiten und die Dokumentation im Labor; Interesse an wissenschaftlichem Arbeiten in einem interdisziplinären Team

Duties: The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics and gene regulation. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc
Requirements: A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science; Proficient in Python (or C/C++) & R programming; Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.)

Duties: Under the supervision of the PI, conducts advanced analysis requiring programming in Stata, SAS, R, Python, or other relevant statistical software package. Analysis may include but is not limited to survival analysis, case‐control analyses, cohort analyses, etc; Performs bioinformatic data quality control prior to analysis implementation; Determines appropriate statistical methods to achieve project aims; Collects and manages survey, insurance claims, and clinical data. Develops custom databases with oversight from the PI; Collects big data from multiple resources and determining appropriate merging procedures with existing analytic data
Requirements: Master’s degree in health services research, health policy, economics, quantitative psychology, epidemiology, biostatistics, bioinformatics, computer science, computational biology or related field with 2 years of relevant experience with bioinformatic packages is required; Completion of an intense data boot camp is equivalent to 1 year of experience; Experience programming in Stata, R, Python, SAS or some other statistical software required

Duties: Work effectively in cross-functional teams and provide computational biology expertise to advance drug discovery for neuroinflammation and neurodegeneration; Analyze and integrate multi-omics data to identify novel therapeutic targets, review and validate therapeutic hypotheses, better understand disease mechanisms and causal pathways, and inform translational medicine strategies; Apply machine learning to the rich multi-level data (genetics, multi-omics, neuroimaging, fluid biomarkers, and clinical data) for target discovery, indication prioritization, and biomarker development
Requirements: Ph.D. in Computational Biology, Neuroscience, Statistics, Computer Science, or a related discipline; 5+ years of relevant research experience in applying advanced computational biology to solving biomedical problems; Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research; Strong background and knowledge in human biology and/or medicine, especially neuroscience and related diseases

Duties: We're looking for a creative, collaborative, and highly motivated bioinformatics scientist to join our biology R&D team to work on exciting advanced biology research projects for the U.S. Government. The candidate will work with a team of about 10 people, and will contribute to multi-year, interdisciplinary programs that bring together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security
Requirements: A Ph.D. in Bioinformatics, Computational Biology, Data Science or a related field; Experience in scientific publications and proposal writing; Biostatistics experience, experience using biostatistics tools in MATLAB or R

Duties: Concevoir, développer, construire et maintenir des pipelines de conception de peptides, en se concentrant sur les aspects structurels et conformationnels (mais pas uniquement); Maintenir une veille scientifique et technique et se tenir au courant de l'état de l'art dans les domaines de la prédiction de la structure des protéines et de la conception de peptides et de protéines, tant du point de vue de la recherche mondiale que du point de vue industriel; Effectuer des analyses structurelles de systèmes d'intérêt (détection de poches, analyse détaillée des interfaces protéine/protéine, de la pose d'amarrage, etc.); en nouant des contacts avec d'autres entreprises de conception de peptides et de protéines en vue de développer des partenariats ou de mener des projets conjoints
Requirements: Doctorat en chimie computationnelle, en modélisation moléculaire, en biologie structurale, en apprentissage automatique ou dans un domaine connexe, avec un solide bagage théorique démontré par des contributions à des revues de premier plan; ou une combinaison équivalente d'études et d'expérience; Expérience pratique de la conception, de la formation ou de l'utilisation d'outils modernes d'apprentissage profond pour la prédiction de la structure des protéines, la modélisation des protéines ou la conception des protéines (par exemple AlphaFold, ProteinMPNN, outils Rosetta, etc.)

Duties: Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Requirements: PhD in computational biology, bioinformatics, genetics, or related discipline with 5+ years of industry experience (or MSc with 8+ years of industry experience); Strong scientific background including an understanding of molecular biology and genomics; Familiarity with NGS platforms and hands-on experience with all steps for analyzing NGS data; Demonstrated proficiency in script languages such as Python and familiarity with a compiled language such as C/C++ or Java

Duties: This position is dedicated to research into pathophysiology of mitochondrial disorders. These are rare disease with a prevalence of 1/5000 individuals, but often carry a high disease burden. During the two last decades, diagnosing these disorders has become much more easy, partly due to progress of genetic diagnostic techniques. However, there is still much to unravel about pathophysiology and certainly about possible treatments for these diseases
Requirements: You hold a Master’s degree (preferably) in Biomedical sciences

Workload: 80-100%
Duties: Abwicklung von Bestellungen, Rechnungskontierungen sowie Datenpflege im CRM System; Bereichs- und regionenübergreifender administrativer Support für diverse Abteilungen sowie Projektadministration; Betreuung und Mitarbeit bei der Weiterentwicklung von zentralen Applikationen; Beschaffung von Strahlenschutzmitteln sowie Administration der Personendosimetrie und des Bewilligungswesens; Mitarbeit im Budgetprozess und Controlling sowie in der Anlagenbuchhaltung
Requirements: Abgeschlossene kaufmännische Grundbildung, abgeschlossene Weiterbildung von Vorteil; Mehrjährige Berufspraxis in ähnlicher Position, vorzugsweise in der Gesundheitsbranche oder einem Dienstleistungsunternehmen, SAP-Erfahrung von Vorteil; Professioneller Auftritt und stilsicheres Deutsch in Wort und Schrift; Selbstständige und initiative Arbeitsweise, vernetztes Denken, Belastbarkeit, Veränderungsbereitschaft; Hohe Sozialkompetenz mit ausgeprägter Dienstleistungsorientierung, Teamfähigkeit sowie Freude am Umgang mit Menschen

Duties: The doctoral student will be enrolled in the PhD track in Biomedical Sciences (PhD Biomedical Sciences). The doctoral student will work under the scientific supervision of Prof. Matteo Moretti and Prof. Francesco Bertoni. The successful candidate will be offered the possibility to work in a dynamic research team and in a multidisciplinary and international scientific environment
Requirements: A Master (or equivalent title) in any Life Sciences or related disciplines with knowledge of lymphoma cell biology and signaling pathways; Laboratory experience in molecular and cell biology techniques

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus