Aufgaben: Serve as the biostatistician in clinical development teams responsible for all clinical study biostatistics deliverables with high quality and on time; Responsible to bring innovative statistical thinking and operational excellence to help drive applications of state-of-art statistical methods that increase the probability of successes for clinical development programs; Develop statistical sections of protocols, statistical analysis plans, and key specifications for statistical programming implementation of analyses; Plan, manage, and track biostatistics activities, timelines, and resources and assure operational excellence; Contribute to SOPs and/or Work Instructions related to biostatistics practices
Anforderungen: PhD in statistics (or equivalent degree) with 4+ years or master with 7+ years of relevant working experience in Biotech, Pharma, Regulatory agencies, or Clinical Research Organizations; Excellent statistical knowledge with the ability of applying the knowledge to solve scientific and clinical problems; Working knowledge of relevant ICH guidelines, US, EU and other regions’ regulations; Experience working on oncology, vaccine/infectious disease and rare disease clinical studies and regulatory interactions are preferred; Experience working with CROs, vendors, and relationship management

Aufgaben: Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans; Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the data analysis plan, creating the reporting database, and conducting the actual analysis once a reporting database is created; Collaborate with data sciences in the planning and implementation of data quality assurance plans; Effectively justify methods selected and implement previously outlined analysis plans; Conduct peer-review of work products from statistical colleagues; Maintain proficiency with respect to statistical programming and statistical methodology and in applying new and varied methods
Anforderungen: M.S., Ph.D., or equivalent experience; Statistics, Biostatistics, Computer Science; 5+ years of relevant experience that includes 3 major pharma; Experience in all major phases of drug development that includes immunology; Regulatory response experience that is an asset

Aufgaben: Implement machine learning algorithms at large scales to optimize and improve new user acquisition efficiency, and leverage acquisition signals to improve new user retention across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc; Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders; Run regular A/B tests, perform analysis and iterate algorithms accordingly; Have a good understanding of end-to-end machine learning systems. Work with infra teams on improving efficiency and stability
Anforderungen: Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning; Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms; Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet); Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems

Aufgaben: Assist in developing and conducting research projects and investigations, including experiment design, experiment execution, data analysis and documentation of experiment results requiring originality, creativity and innovation; Work in close collaboration with clinical partners; attend clinical meetings, help solving clinical and practical problems, present and discuss results with clinicians; Perform complex statistical analysis of collected/processed data and write interpretative reports; Proactively undertake development to grow effective researcher capabilities to support career interest and goals; Assist with grant preparation and reporting
Anforderungen: A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as medical imaging, neuroscience or related field. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience; Ability to investigate issues of complex and ill-defined problems and develop appropriate responses by adapting/creating and testing alternative solutions; Demonstrated performance in developing, implementing, and validating new medical image analysis algorithms with experience in one or more of the following: machine learning, deep learning, image segmentation, or image registration

Aufgaben: Scripts et Analyses en bioinformatique: codage (R, G-range) et analyses du signal
Anforderungen: bioinformatique: language R, expériences en omics, données NGS. Code Python occasionnel

Aufgaben: Develop frameworks and open-source tools for evaluating the robustness of ML time series predictions and/or robust control; Improve ML methods for robust time-series prediction and/or robust control; Interact and collaborate with the RICO team, including PhD students, postdocs, permanent staff, and end-users; Presentation of results nationally and internationally; Publishing in international journals
Anforderungen: Completed a Norwegian doctoral degree in artificial intelligence, statistics, mathematics, or a related area or in a related field or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree

Aufgaben: You will be responsible for conducting processing and detailed analysis of a variety of ‘omics datasets, including bulk and single cell transcriptomic data, whole-genome and exome DNA sequencing data, proteomic data and metabolomic data across a range of parallel projects. You will provide bioinformatics advice to the IMCM research project teams and plan new analyses that will progress the IMCM research projects. Keeping meticulous, detailed records of your work and committing to performing cloud-based analyses on the IMCM data platform is a key part of this role, along with preparing manuscripts for publication and contributing to written and oral presentations/reports as required
Anforderungen: It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and have experience handling and analysing various types of ‘omics data types, such as RNA-Seq, whole genome or exome sequencing data, single cell profiling, ChIP-Seq, proteomics, and metabolomics. You will be able to plan and oversee programmes of technical work to a successful conclusion by agreed deadlines. Experience of programming languages including Python and R is essential, along with experience of developing and maintaining bioinformatics pipelines and workflows. Previous experience of working on neuroscience projects, such as on Parkinson’s disease, Alzheimer’s disease, ALS or another neurodegenerative disease is highly desirable

Aufgaben: Concevoir et réaliser des développements bioinformatiques et de biostatistiques: Assemblage de novo d'un génome de champignon (35Mb) à partir de données Illumina et PacBio/Nanopore; Annotation du génome grâce à des données de RNA-seq chez le sauvage; Analyse de données RNA-seq chez des mutants; Définir, mettre en œuvre et mettre à jour un Plan de Gestion de Données (PGD); Diffuser et valoriser les résultats et réalisations technologiques sous forme de rapports, présentations orales; Assurer et organiser la veille scientifique et technologique
Anforderungen: Formation en bioinformatique; Expérience de programmation pour l’analyse de données de séquençage ADN; Expérience de programmation pour l’analyse de données de séquençage ARN; Expérience en biostatistiques; Gestion de workflow; Rigueur et autonomie; Connaissances des règles FAIR de reproductibilité; Connaissances en génomiques et génétiques (transcription, recombinaison); Langue anglaise: Niveau A1; Sens des responsabilités; Bonne capacité de communication, notamment avec des non bioinformaticiens; Excellentes qualités relationnelles

Aufgaben: Research topics include distributed (cell-free) MIMO, integrated sensing and communication, passive and active sensing, exploiting macro-diversity with distributed sensing implementations, bistatic/multistatic radar sensing, fusion of sensing signals, and drone detection
Anforderungen: You have graduated at Master’s level in Electrical Engineering or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in another way

Aufgaben: The post falls under the wide issue of understanding the fundamental physical mechanisms driving the coupled motion of liquids, gases, and granular materials, including magnetic interactions. The researcher project's goal is to improve our understanding of how different forces, both short-range (e.g., capillary and friction forces) and long-range (e.g., viscous and gravitational forces), act in various flow regimes. These interacting forces can result in instabilities and emergence of complex patterns. We are particularly interested in frictional fluids and the relationship between fluid motion, friction, and magnetic interaction, as well as understanding the pattern formations that result. Experiments will be the primary emphasis of the research, including the development of experimental setups, design, image processing, data collecting, and analysis. The research will also incorporate theory and simulations connected to the experimental investigations
Anforderungen: Applicants must hold a degree equivalent to a Norwegian doctoral degree in physics including statistical physics and hydrodynamics. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment; Experience with the design and execution of experiments; Extensive research experience with experiments on granular materials, and flow in porous media

Aufgaben: This exciting role will undertake research on first-principle electromagnetic channel modelling that includes but is not limited to: Advanced electromagnetics methods for universal channel modelling, numerical methods for wave propagation in complex environments, statistical electromagnetics, computational electromagnetics, implementation of full-wave commercial solvers (e.g., COMSOL), standard 3GPP channel models
Anforderungen: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering; Expertise in advanced theoretical and computational electromagnetics; Recent research experience in the development of first-principle wave models; Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave commercial electromagnetics software; Good knowledge of the main standard channel models (e.g., 3GPP)

Abteilung: Engineering; Computer Engineering
Dauer: 72 m
Aufgaben: The Industry 5.0 paradigm prioritizes worker well-being, leveraging new technologies to enhance industrial productivity. The interdisciplinary goal of the project is to design an industrial ecosystem with a primary focus on worker well-being, enabling the integration of operators with automation, using Digital Twins to digitize and optimize production, and intelligently orchestrate the work environment
Anforderungen: Early stage researcher or 0-4 yrs (Post graduate)

Aufgaben: The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as well as experimental protocols to acquire and compare ductus reconstitutions. In addition, the PhD student will take part in the team's discussions on the history and evolutions of Greek handwritings across a millennium. She/he will help organize; jointly with the team; a number of workshops and conferences, participate in outreach activities of the project and present her/his research at scientific meetings
Anforderungen: Applicants should hold a Master's degree in Computer Vision or related fields with grades above average (Master's thesis must be completed by the start of the position), be highly motivated to conduct innovative transdisciplinary research at the intersections of Artificial Intelligence, Kinematics, Digital Humanities and Ancient History, have an excellent command of at least English, and be able to work autonomously within an internationally and institutionally diverse environment

Aufgaben: You will provide support with teaching and also teach high-quality academic classes yourself in Mathematics. Your teaching assignment may include basic mathematics courses as well as more specialized courses in your research domain; You will supervise students and their Bachelor and Master dissertations
Anforderungen: You hold a Master degree in Mathematics, Physics or Engineering Sciences, or you will have obtained it by the time you start work; You did not yet obtain a PhD in Mathematics; You can demonstrate excellent study results; You have a very good and broad knowledge of analysis, dynamical systems and differential geometry

Aufgaben: Utilize and develop bioinformatics solutions for the analysis of large-scale mass spectrometry experiments (DDA and DIA), focusing on the identification and quantification of MHC-bound peptides (immunopeptidomics); Explore, evaluate, and analyze external (e.g. PRIDE) and internal immunopeptidomics and immunogenomics datasets to support therapeutic target discovery and validation; Interpret complex datasets to drive biologically relevant findings in the context of immunopeptidomics; Collaborate closely with cross-functional research teams to design experiments and refine data acquisition strategies for improved data quality
Anforderungen: Master's degree +3 years of experience in Biochemistry, Chemistry, Bioinformatics, Computational Biology, or a related field. PhD degree is a plus; Rigorous understanding of mass spectrometry concepts and techniques, including the principles and application of data-dependent acquisition (DDA) and data-independent Acquisition (DIA) methods; Previous hands-on experience with mass spectrometry data analysis software, especially when applied to immunopeptidomics, and the familiarity with the role of MHC molecules in antigen presentation; Experience with RNA-seq and WES data; Strong coding skills in Python and/or R

Aufgaben: Develop novel analysis algorithms and models to better understand and predict CasX editing outcomes and their effects in a therapeutic context; Work closely with Scientists and to inform experimental approaches for testing computational predictions; Effectively communicate analysis approaches and results with close collaborators and across the company; Maintain and improve our existing codebase of bioinformatics pipelines using software development best practices (i.e. version control, workflow management, metadata tracking); Foster a driven, fast-paced, dynamic, and fun environment in which to do rigorous science
Anforderungen: PhD in a quantitative discipline (e.g. Computational Biology, Bioinformatics, Biophysics, Systems Biology, Genomics, or equivalent); 2+ years experience developing novel algorithms/analysis methods for integrative analysis of genomics or other biological datasets; 2+ years experience in computational and statistical programming (python or R preferred), unix command line, bioinformatic toolkits, version control systems (e.g. git), and workflow management (e.g. nextflow)

Aufgaben: Deliver best value and high quality service; Ensure quality control (QC) on all process and technical activities related to derived dataset, table, listing, and figure programming in accordance with corporate quality standards, WSOPs/Guidelines, ICH-GCP and/or other international regulatory requirements are performed; Assist in the coordination of project start-up activities, including Unix/PMED project area set-up, creation of global programs (e.g. setup.sas, formats.sas, etc.), tracking spreadsheets, and required documentation; Assist in the production and QC of derived dataset specifications, programming specifications, and other process supporting documents; Use efficient programming techniques to produce derived datasets, tables, figures and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures and data listings; Check own work in an ongoing way to ensure first-time quality
Anforderungen: Knowledge of SAS and other relevant programming languages and processes within the GRO, Biostatistics, and Medical arenas

Aufgaben: Adobe is looking for multiple Machine Learning Engineers from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven
Anforderungen: PhD or MS degree in Computer Science, Data Science or related field required; 5 to 10 years of applied research experience in software industry/academic research with experience in developing, evaluating ML models, and deploying models into production; Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team; Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS

Aufgaben: Partner with AI researchers and bioinformaticians to develop novel computational methods to infer causality in disease progression; Work closely with biologists in Immunology and Oncology to solve biological questions and validate computational findings; Contribute to drug projects by providing support on target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc; Analyze multi-omics and phenotyping data from research studies, clinical trials and real world databases to identify disease-driving cell types, pathways, and genes
Anforderungen: Ph.D. degree in bioinformatics, biology, computational biology or a relevant field. Experience in the pharmaceutical industry is preferred; 5+ years of industry experience, or 3+ years in industry plus 2+ years academic post-doc experience; Passion for in-depth understanding of biological questions and finding plausible answers with data analytics; Solid biology knowledge in Immunology or Oncology, being able to communicate comfortably with biologists

Aufgaben: Defining the metrics for tracking the health of our marketplace, and build tracking to monitor this; Proactive analysis and modeling to identify opportunities to further develop the marketplace, including innovating and building cutting-edge auction mechanics/pricing; Partnering closely with R&D and Sales stakeholders to develop the strategy for growing the marketplace, including the product roadmap and Sales programs to drive growth; Conducting deep dives on marketplace impact to support high impact launches and Sales growth
Anforderungen: Bachelor's degree in Statistics, Econometrics, Applied Math, or related fields; Strong academic or professional experience with the latest auction theory; Strong knowledge of Python 3 and SQL; Entrepreneurial ownership and a deep desire to push the status quo; Strong and clear communication skills; Experience working with scaled marketplace and auction-driven businesses; Strong analytical/modeling experience tied to business outcomes

Aufgaben: Serve as the bioinformatics lead on a collaborative project focused on characterizing induced immune responses in an in vitro immunogenicity model; Perform analysis of scRNAseq and proteomics data; Perform rational multi omic integration of resulting data; Use the relevant data to generate training sets for Machine Learning; Play a key role in data collection, model training, and deployment for property prediction; The postdoctoral fellow will also receive personalized training in relevant areas of Machine Learning or immunology, as needed
Anforderungen: Doctorate degree in bioinformatics or a related field; Understanding of basic concepts of immunology; Significant experience in single-cell RNAseq analysis pipelines; Excellent communicator able to write and speak about technical concepts to business, technical, and lay audiences

Aufgaben: Lead and execute data-driven projects to drive insights and innovation in biotech research and development; Utilize cutting-edge ML/AI techniques to identify, implement, and advance state-of-the-art models, contributing to the enhancement of core platform capabilities and the acceleration of CRISPR-based drug innovation; Design and develop predictive/generative models and algorithms to support CRISPR-based drug discovery and gene editing medicine initiatives; Engage in collaboration with scientists, biologists, and curators to engineer ML features, enabling the interpretation of ML results within the context of the field; Drive the development and implementation of data strategies based on best practices, ensuring the security, accessibility, and interpretability of Scribe's proprietary data
Anforderungen: PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Computation Biology or equivalent engineering fields; Demonstrated expertise with machine learning technologies and a proven track record of implementing deep learning architectures, either in industry or academia, for a minimum of 3 years; Proficiency in utilizing various tools and frameworks for machine learning and data science, such as PyTorch, Scikit-Learn, Tensorflow, Keras, AWS SageMaker, and others; Hands-on experience in ML/AI-based protein modeling, including familiarity with AlphaFold2, RoseTTAFold, ESM2, and similar technologies

Aufgaben: Lead and individually contribute to data science and machine learning R&D projects; Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems; Interview candidates for open positions on our team; Lead and contribute to projects from early-stage research through development, in consultation with stakeholders; Provide technology leadership to yield innovative differentiating solutions; Implement and optimize state-of-the-art algorithms in distributed environments; Work with our Engineering teams to integrate your solutions into Epsilon PeopleCloud Digital Media Solutions platform
Anforderungen: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems; Proven ability to lead development projects from conception through deployment; Proven ability to lead and conduct research projects

Aufgaben: You will be working in the Oncology Biometrics Programming department providing statistical programming support related to the analysis and reporting process at project/study level for the delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options that you can pursue for your development and progression
Anforderungen: Bachelor’s or Master’s (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field; Ability to pay attention to detail and lead/work on concurrent studies and activities; Excellent verbal and written communication skills and ability to influence team members; Extensive SAS programming expertise to a high level within clinical drug development; Ability to work independently on the assigned programming tasks

Aufgaben: With the continued growth of our market access, health economics and healthcare value demonstration teams we are looking to add to our team with the addition of a talented Senior Health Economist. You will have a genuine passion for understanding and communicating the value of healthcare through economic modelling and data analysis. This position will act as a Technical Lead for assigned health economics and other projects; mentor junior health economists; contribute to the growth and development of PROVE’s health economic solutions
Anforderungen: Post graduate qualification in Health Economics, epidemiology, statistics or medical sciences; In-depth understanding of the perspectives and evidence needs of a variety of stakeholders; Ability to demonstrate strategic insights; Experience in reviewing project deliverables