Duties: Sie sind Teil eines interdisziplinären Teams und bringen sich aktiv und eigenverantwortlich in die Vorbereitung, Durchführung und Nachbereitung konzernweiter Prüfungen zum Einsatz von Modellen in der Bewertung von Finanzinstrumenten sowie im Risikomanagement (Adressenausfall-, Liquiditäts-, Marktpreisrisiko, Non-Financial Risk) ein; Sie begleiten auf Seiten der Revision bedeutende Bankprojekte und Anpassungsprozesse mit Modellbezug; Sie vertreten den Bereich Revision in themenspezifischen Steuerungskreisen; Sie entwickeln Prüfungsansätze für innovativer Technologien (z.B. Bitcoin, Künstliche Intelligenz) und gestalten bestehende Modellprüfungsansätze weiter
Requirements: Erfolgreich abgeschlossenes Studium in einem quantitativ ausgerichteten Studiengang (Mathematik, Physik, Informatik oder Wirtschaftswissenschaften); Sehr gute Kenntnisse von gängigen mathematischen Modellen (z.B. Ratingmodelle, Risikomodelle, Bewertungsmodelle); Erfahrung in der Datenaufbereitung sowie deskriptiven und explorativen Datenanalyse unter Einsatz statistischer und anderer Software (Python, SQL, R) sowie auch allgemeine IT-Affinität; Mehrjährige Berufserfahrung im Risikocontrolling, in der Modellentwicklung/-validierung, in der Internen Revision/Wirtschaftsprüfung oder im regulatorischen Umfeld

Duties: Actively participate in project team meetings to understand the context for application of statistical methods; Collaborate with scientists, engineers, and other statisticians to reach consensus on analysis and interpretation of data; Independently design experiments and perform statistical analyses; Concisely articulate analysis results and statistical methodology to scientists and engineers; Teach statistical methodology to others as needed; Aid in the development of strategies for experimental design and model building for mRNA product development and manufacturing
Requirements: PhD in Statistics or related discipline with 0-5 years of relevant experience; MS degree in Statistics or related discipline with 5-10 years of relevant experience; or BS degree in Statistics or related discipline with 10-15 years of relevant experience; Experience with commonly used statistical methods, such as Design of Experiments (DOE), linear and nonlinear regression modeling, variance component analysis, multivariate analysis, process capability and control charts; Advanced programming skills using one or more statistical packages or languages (e.g., JMP, SAS, or R)

Duties: Sie betreuen und entwickeln unsere bestehende Analysepipeline weiter und halten diese Instand; Zusammen mit unseren Fachabteilungen forschen Sie an neuen Analysemethoden; Für unsere Fachabteilungen organisieren Sie Schulungen über Softwarelösungen und führen diese anschliessend durch; In unser Knowledgemanagementsystem binden Sie neue Analysemethoden ein; Sie präsentieren den Entwicklungsstand vor den Fachabteilungen sowie auf (inter-) nationalen Konferenzen
Requirements: Sie haben eine Promotion im Bereich der Bioinformatik, Systembiologie oder angrenzenden Fachbereichen oder Master/Diplomabschluss; Mindestens zwei Jahre Berufserfahrung können Sie nachweisen; Sie haben fundierte Kenntnisse in Python 3.x und arbeiten sicher mit Linux/Unix; Der Umgang mit Analysen von NGS-Daten, Git, Conda und Docker sind für Sie kein Problem; Sie verfügen über Kenntnisse in Statistik, quantitativer Datenanalyse sowie maschinellem Lernen und in der Humangenetik

Duties: Umsetzung von Projekten von der Analyse über die Planung und Konzeption bis hin zur Implementierung; Strategische Weiterentwicklung unseres Analytics Service Portfolios, sowie fachliche Konzeption und Umsetzung von Advanced Analytics und KI-Lösungen; Evaluation von Software und IT-Architektur für die Einführung und Skalierung von Machine Learning; Verantwortung im Bereich von Teilprojekten und Führung von Projektteams
Requirements: Erfolgreich abgeschlossenes Studium, idealerweise in den Fachrichtungen Statistik, Mathematik, Informatik, Wirtschaftsinformatik oder ähnliches; Mehrjährige Berufserfahrung in der Umsetzung der Machine Learning - Technologien, sowie üblichen Tools und Programmiersprachen (Python, R, Scala, SAS, etc.)

Duties: Analyze high-throughput sequencing data to extract biological insights; Partner with others in the group to develop new analysis tools, pipelines, and methodologies; Collaborate effectively with experimental and computational scientists to design studies and develop protocols; Perform quality control analysis and troubleshoot any issues; Perform differential expression analysis, pathway analysis, gene set enrichment analysis to identify biological processes and pathways affected by RNAi based therapeutics
Requirements: PhD degree in bioinformatics, computational biology, computational genomics, integrated biomedical sciences, or related field; 3+ years of work experience in RNA-seq data analysis; Expertise in systems biology, bioinformatics and genomics

Duties: Technologieauswahl, Konzepterstellung und Umsetzung von Big Data Projekten; Implementierung von ETL Jobs, z.B. auf Basis von PySpark oder Scala; Aufbau von skalierbaren Big Data Infrastrukturen; Als Teamplayer: in trägst Du zum Unternehmenserfolg bei
Requirements: Ein abgeschlossenes Informatikstudium oder Vergleichbares; Gute Programmierkenntnisse in Python und Java sowie deren Ecosysteme; Umgang mit Tools, wie z.B. Kubernetes, Spark, Flink, Hadoop, MapR oder Kafka; Erfahrung mit IT- oder KI-Projekten wünschenswert; Erste Berührungspunkte mit Public Clouds wie Azure und AWS; Verständnis von DWH-Konzepten und Datenmodellierung von Vorteil; Interesse an neuen Herausforderungen; Fliessende Deutsch- (mind. C1-Level) und gute Englischkenntnisse in Wort und Schrift

Duties: As part of a sustained, multiyear, strategic growth initiative, the School of Computer Science in the Gallogly College of Engineering (GCoE) at the University of Oklahoma (OU) seeks applications for an assistant professor position in the area of computational biology/bioinformatics with a targeted start date of Fall 2023
Requirements: Ph.D. in Computer Science or a related field; Demonstrated passion for teaching as well as research

Duties: Create solutions that map clients into the buynomics framework using data science, building on a deep understanding of modern revenue management, our clients' questions and the buynomics framework and core algorithms; Participate in the R&D of processes and features that allow us to create value from data in a highly automatic fashion using statistics and machine learning (e.g., developing clustering and prediction algorithms, statistical model evaluation metrics, prototyping approaches to new industries, and more); Assist with high-priority operational requests that may involve quick data analyses or scripting
Requirements: Completed master’s degree in the field of economics, mathematics, computer science, engineering, or a related quantitative area from a leading university, with a sound knowledge of modern statistics and at least basic knowledge of machine learning; 2+ years of experience in leveraging data science to create value from data, either in a commercial or an academic setting; Intermediate knowledge of Python. Any deeper programming knowledge is a plus

Duties: Provides technical leadership and expertise in initiating and carrying out multi-disciplinary or cross functional projects that impact the Lilly Research Laboratory and the Statistical Sciences organization; Leads the assessment and introduction of new statistical technology and methodology, including both frequentist and Bayesian techniques, to apply to broader practice; Leads the design and analysis of in-vitro and in-vivo experiments to advance the discovery portfolio in multiple therapeutic areas, innovative study designs, and statistical analysis plans in collaboration with biologists and other researchers
Requirements: Ph.D. in Statistics, Biostatistics or related field; At least 7 years of proven experience in research and development

Duties: This person will work on studies of cardiovascular disease epidemiology in National Institutes of Health/NHLBI-funded cohort studies and electronic medical record and insurance claims data. Specific responsibilities will include maintaining linked databases of various types from the large, multi-thousand person population studies; developing and implementing protocols to map and link cohort data to records from several large-scale data sources (local care management organizations, Medicare and Medicaid databases)
Requirements: Graduate level training in biostatistics, statistics, epidemiology, population health sciences, public health, medicine or related field required; Completed graduate training at Master's level or beyond required; Experience (1+ years) in various techniques of data analysis and data management required Consideration will be given to length of previous employment in comparable or related positions, in particular productivity and experience working on research grants and scientific publications

Duties: Coordinate with a cross-functional team to develop new software features, process study samples, support analysis objectives, and lock device software for new products; Design and implement efficient and horizontally-scalable bioinformatics software, in support of research and product initiatives; Maintain a high level of software reliability by adhering to and enforcing sound engineering principles, including thorough testing; Follow the formal development and release procedures needed to convince others of this reliability, meeting the high standards expected of regulated diagnostic devices
Requirements: Engineering, Bioinformatics, Math, or related Master's degree with 5+ years of experience or Ph.D. with 3+ years of experience in a relevant position; Expert knowledge in designing, building, and testing scientific software and data analysis pipelines; Professional software engineering experience, including extensive experience in at least one system-level programming language like Go, Java, or C++

Duties: Run various statistical and statistical genetic software packages, including in-house programs, to analyze data; Execute simulation-based studies to evaluate performance of alternative and novel data analytic methods; Prepare summary statistics on data preparatory to data analyses; Prepare results of analyses for presentation and publication; Research available software options for specific projects; Download and install software as needed; Perform additional duties, as assigned
Requirements: Master of Science degree in Biostatistics or Statistics or Bachelor degree in Biostatistics or Statistics; Excellent organizational, communication and self-management skills; 2 years work experience as a biostatistician in a healthcare-related setting for MSc, minimum 5 years for BSc.Excellent knowledge of General Linear Mixed Models (GLMM), factor analysis, structural equation modeling and cluster analysis

Duties: Protocol Development, Analysis Plan (AP), Analysis, Results Interpretation, and Study Report: Lead analytical activities for a very complex project. Act as an analytical expert in the assigned projects; Guides the project team in using the most efficient or innovative study design by considering the current and evolving trends within the industry and business drivers; Demonstrate high-level proficiency for RWE analytics, AI/ML technology while providing support for real-world database activities ranging from the descriptive nature of studies to the external control study to provide comparative analysis
Requirements: PhD (ScD or DrPH) degree in Epidemiology, Statistics/Biostatistics, Pharmacoepidemiology related field; Experience 7 or more years of relevant experience in the pharmaceutical industry

Duties: Collaborate with business stakeholders and analytics team members while taking ownership of complex projects which convert abstract concepts into data science solutions; Query and manipulate complex datasets to prepare data for analysis; Develop data products such as statistical analyses, dashboards, API endpoints, and models which deliver actionable value to the platform and stakeholders; Lead code review, validation, and design review activities to ensure and demonstrate high-quality output
Requirements: 3+ years experience delivering data science projects involving advanced techniques (such as statistical analysis, predictive modelling, forecasting, data visualization, and machine learning) from beginning to end; 3+ years of statistical programming with at least Python; 2+ years of advanced SQL programming; 1+ years of being a team lead or senior data scientist

Duties: Collaborate with the experimental Postdoc and other wet-lab scientists to advance projects together; Publish high quality papers based on biological advances discovered in this work; Create scientifically rigorous visualizations, communications and presentations of results; Contribute to open-source software development by summarizing novel analysis strategies learned from this work
Requirements: Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Computer Science or related field; Must have demonstrated proficiency with the Python data analysis ecosystem; Experienced with single-cell omics data analysis (e.g. single-cell RNA-seq, Perturb-seq, 10x multiome); Experienced with analyzing cancer-related omics datasets

Duties: Als Junior Data Scientist im Bereich Consulting entwickelst Du neue Modelle und unterstützt uns dabei bestehende Algorithmen kontinuierlich zu verbessern. Du berätst unsere Kunden im Bereich Datenstrategie und Datennutzung und hältst überzeugende Kundenpräsentationen basierend auf den Arbeitsergebnissen Deines Teams
Requirements: Master oder Promotion in Mathematik, Physik oder einer verwandten Disziplin mit nachweislich mathematischem Fokus; Du sprichst fliessend Deutsch und Englisch (Unicert C1/C2); Fokus auf Stochastik oder Numerik; Stress resistent sowie positives Mindset; erste Erfahrung in Deep Learning oder Machine Learning; erste Jahre Erfahrung in Bayes'scher Inferenz und Scientific Reasoning

Duties: Utilize existing pipelines to process and analyze high-throughput sequencing data, including amplicon sequencing, bisulfite sequencing, metagenomics, viral integration; Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data; Construct phylogenic trees
Requirements: Bachelors degree and at least one year experience with a strong focus on epidemiology, computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable; The candidate must have expertise in R or Python; Experience in microbiome bioinformatic processing preferred

Duties: Als Trainee (w/m/d) Risikocontrolling mit Schwerpunkt Liquiditätsrisiko lernen Sie die verschiedenen Aufgaben des Bereichs Risikocontrolling inkl. der unterschiedlichen Risikoarten, Methoden und Instrumente kennen; Einsatzschwerpunkt des Traineeships ist die Einheit Liquiditätsrisikocontrolling und dort die Weiterentwicklung der Risikomodelle zur Bestimmung und Überwachung des Liquiditätsrisikocontrollings der Deka-Gruppe; Sie arbeiten in einem hochmotivierten Team mit an der konzeptionellen und fachlichen (Weiter-) Entwicklung der im Liquiditätsrisikocontrolling verantworteten Risikomodelle und Prozesse sowie der verwendeten IT-Systeme z.B. Weiterentwicklung der Methoden zur Ermittlung der Liquiditätsablaufbilanz, Weiterentwicklung der Stresstest- und Szenarioanalysen
Requirements: Abgeschlossenes Studium der Naturwissenschaften oder in Mathematik (MINT) bzw. der Wirtschaftswissenschaften mit quantitativem Schwerpunkt; Kenntnisse über die am Kapitalmarkt gehandelten Produkte (z.B. Wertpapiere und Derivate); Interesse an Themen des Liquiditätsrisikocontrolling sowie Lust auf spannenden Herausforderungen; Solides IT-Verständnis und idealerweise Programmiererfahrung in R und Python; Sehr gute Deutschkenntnisse

Duties: Developing simulation and optimization codes for decision models in operations and supply chain management; Developing interactive dashboards for decision models and optimization codes; Enhancing and maintaining an in-house dashboarding solution for visualization of optimization models; Supporting live prototyping sessions with sponsor companies and partners from industry; Supporting the deployment of prototypes through our local infrastructure for live demos; Disseminate results through scientific publications, workshops and conferences (co-organize workshops, seminars, and conferences; edit the publication of the research results); Offer research assistance and guidance for students who develop decision and machine learning models
Requirements: We are looking for a candidate with a master’s degree in information systems, data science, computer science, preferably with experience in web development, decision support systems, business intelligence, data visualization. In particular, the following requirements apply: Strong interest in Python coding and web frameworks; Good knowledge in other languages, such as JavaScript, SQL, or Java; Curious and self-motivated to generate and implement own ideas; Proven ability to work independently as well as functioning as part of a team; Fluency in English (German and French will be considered a bonus)

Duties: Under the supervision of a senior level statistician, the individual will perform the following tasks: Data base construction, data management and statistical analysis for the UCLA Department of Medicine Statistics Core. The Position will be located in the Division of General Internal Medicine & Health Services Research. Primary job duties include statistical programming, collaborating on data management, data quality control, designing study databases and conducting statistical analyses. Degree in biostatistics, statistics or related field. Experience using statistical software (particularly SAS and R) for the data management, analysis and visualization required
Requirements: Bachelor’s Degree; Knowledge of statistics; Knowledge of study design; Skill in statistical software application, notably SAS and R

Duties: A Post-Doctoral Fellow position is available for a talented and motivated researcher with expertise in bioinformatics, multi-omic analyses, and machine learning. The position will focus on investigating the immune system during aging with chronic diseases
Requirements: Candidates must have, or should be close to obtaining, their Ph.D. or equivalent degree in Biology or a related field, with a strong background in biology, bioinformatics, or multi-omic analyses. Candidates with experience in the study of the immune system, virology, and systems biology are particularly encouraged to apply. Strong candidates will have at least one-two publications in internationally recognized peer-reviewed journals

Duties: The successful candidate will lead projects on topics related to the roles of socio demographic factors in various medical issues in our society. The work will primarily involve designing and conducting experiments, data analysis, presentation of results at conferences, and preparation of research manuscripts
Requirements: The candidate should have experiences in computer programming and data analysis (e.g. Python/R/Stata), as well as research experience in social epidemiology and/or network analysis demonstrated by first-authorship in preprints/published papers)

Duties: Verification and validation of designs through fabrication; (Bio-)chemical and/or medical applications of microfluidic devices; Simulation for microfluidics. (CFD); High Performance Computing and/or GPU programming for this domain; Machine learning algorithms for this domain; Clean energy solutions (e.g., microfluidic fuel cells)
Requirements: You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills to design highly efficient algorithms. A focus in fabrication, and ideally interest (or even first lab experiences) in microfluidics is obviously a big advantage

Duties: The Department of Mathematics in the Dana and David Dornsife College of Letters, Arts and Sciences of the University of Southern California in Los Angeles, California, seeks to fill several positions of Assistant Professor (RTPC) of Mathematics with an anticipated start date of August 2023. These are teaching and research-track positions with terms of up to 3 years and a teaching load of 3 semester courses per year
Requirements: Candidates in all fields of mathematics will be considered. Candidates should demonstrate great promise in research and evidence of strong teaching. Applicants should have a doctoral degree in an appropriate field of study

Duties: Conducts multidisciplinary research in the area of tumor immunology and computational biology with a focus on immune editing, immune escape, neoantigens, clonal architecture, and antigen discovery. Prepares written reports of the research experiments. Prepares grant proposals based on the research conducted. Gives oral presentations of the research. Performs other related duties as assigned
Requirements: Ph.D. and/or M.D. in a relevant science with a focus on tumor immunology and computational biology