Aufgaben: Actuaries are essential to GEICO’s continued success as one of the nation’s leading auto insurers. Their duties consist of determining rates for our various insurance products, analyzing and projecting drivers of loss trends, developing and enhancing new insurance products, examining and setting loss reserves, working with data infrastructure, and much more! Our actuaries are motivated, self-driven, and excellent analytical thinkers. GEICO’s actuaries do more than crunch numbers; they are active in determining business strategies, educating management on our profitability and projections, and communicating across departments to ensure company success. Actuaries are key members of GEICO’s management team, as a wide range of critical decisions are based on their projections and professional opinions
Anforderungen: A bachelor’s degree in mathematics, economics, actuarial science, statistics, or a related field; A cumulative GPA of at least 3.0 or demonstrated professional achievements in an analytical, quantitative, or related field; Proven quantitative, analytical, and problem-solving abilities

Aufgaben: Für unsere Abteilung Supply Chain Management, das für die Produktion und Lieferung von Produkten in über 100 Länder verantwortlich ist, suchen wir einen Supply Chain Data Analyst (m/w/d). In dieser Position arbeitest du eng mit verschiedenen Teams zusammen, darunter Fertigung, Planung, Logistik und IT, um Verbesserungsmöglichkeiten zu identifizieren und kontinuierliche Verbesserungsinitiativen voranzurtreiben. Diese Position bietet eine grossartige Gelegenheit, in einem internationalen Umfeld zu arbeiten und ein breites Spektrum von Themen der Supply Chain und der Produktion abzudecken, einschliesslich Demand- und Supply Planning, Produktlebenszyklus, Bestandsverwaltung, externer Beschaffung, logistischen Transport und Qualitätsmanagement
Anforderungen: Mindestens Bachelor-Abschluss, bevorzugt in Supply Chain Management, Finanzen, Statistik oder Ingenieurwesen; Fliessend Deutsch und gute Englischkenntnisse (Muss); Neugierig, flexibel und "Hands on” Mentalität; Verständnis für End-to-End-Lieferkettenkonzepte und Distributionsstrategien; Fähigkeit, komplexe Sachverhalte zu analysieren und Details zu beachten; Starke Kenntnisse in Excel und Power BI (Power Automate und Power Apps ist ein Plus); Gute Kommunikationsfähigkeiten in Wort und Schrift

Aufgaben: Work on unique, multi-omics datasets to support translational lung cancer metabolism research; Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data; Enjoy a close working relationship with bioinformaticians, statisticians, bench scientists, and translational researchers to establish a well-rounded multidisciplinary team; Join an institute that highly values computational research
Anforderungen: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data; Programming experience in statistical program R and/or scripting languages such as Python/Perl on Unix/Linux systems; Highly motivated and independent researcher with a background in cancer biology; Excellent communication and writing skills

Aufgaben: You will be a part of a dynamic research environment where we aim to translate our understanding of immunology to develop therapies and diagnostics, transforming clinical practice and benefiting patient health; You will be a part of a team with broad computational and experimental expertise that values collaboration and mentorship; You will have access to pre-clinical and clinical samples and datasets; You will have access to state-of-the-art technologies, pioneering research, active seminar series with both internal and external speakers, and opportunities to publish/present externally
Anforderungen: You have a PhD in Computational Biology, Immunology, Genomics, Genetics, or related fields; You deeply understand the practice, principles, and challenges of statistical analysis and biological interpretation of omics data. You think critically about experimental design and practice reasoned skepticism; You are adept in the use of Python and/or R for statistical analysis, data transformation, and data visualization; You enjoy communicating science to and collaboratively interpreting data with teams with diverse scientific backgrounds

Aufgaben: Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Anforderungen: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

Aufgaben: Takeda Development Center Americas, Inc. is seeking a Manager, Statistical Programmer
Anforderungen: Master’s degree in Math, Computer Science, or related field or foreign academic equivalent plus 6 years of related experience

Aufgaben: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis
Anforderungen: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply. The successful candidate is expected to have good communication skills that are necessary for effective collaborations

Aufgaben: Write, test and perform quality control of SAS, R and SQL programs to perform data manipulation and analysis of large observational healthcare databases to produce analysis datasets and statistical reports; Lead a team of statistical programmers to deliver accurate outputs on time and to specifications; Coordinate with stakeholders to prioritize and manage workflow; Identify potential efficiency improvements and propose solutions
Anforderungen: Bachelors degree or equivalent in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject; Extensive SAS or R programming experience for complex data manipulation and analysis; Proven experience with database programming using SQL

Aufgaben: Improve existing pipelines for content acquisition; Develop, train, and validate machine learning models to target various use cases for biological literature; Use a variety of NLP libraries and techniques for entity recognition and relationship extraction; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content
Anforderungen: Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering; Proficiency inJava or Python and a demonstrable ability to quickly learn; Solid understanding of the deep learning ecosystem; Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow; Experience with word embeddings and language models such as Word2Vec or BERT

Aufgaben: We are searching for an outstanding Bioinformatics Engineer with an interest in working closely with computational biologists and experimental biologists to deploy bioinformatic methods and resources relevant to single-cell sequencing and spatial imaging. The focus of this work is the building and maintenance of software tools, pipelines, and resources for integrative analysis of high throughput sequencing and imaging data
Anforderungen: A PhD degree or equivalent experience in biological sciences, mathematics, physics, bioinformatics, or related discipline with a quantitative background; Knowledge of sequencing and imaging technologies and their application; Proven experience with computational tools and workflows for the analysis of genomic datasets; Strong programming skills and proficiency in scientific computing software and scripting languages such as Python and R

Aufgaben: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Anforderungen: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; AWS certification is a plus; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting

Aufgaben: The Biostatistician I is the entry-level position of the biostatistics career ladder. The role largely works under close supervision of teams that include a more senior statistician/manager and one or more biomedical domain experts. Management of this role is usually provided on a daily basis with emphasis on proper procedures and technical issues; Consults with team members to determine study design, conduct power calculations, identify appropriate variables and methods, format data, and identify and resolve data anomalies; Operates according to a statistical analysis plan that includes methods, programming procedures, variable definition, and data handling rules and procedures
Anforderungen: Bachelor's Degree; Previous experience with progressively more complex applied statistics; Previous applied experience in using one or more common statistical language programs

Aufgaben: Is a successful problem solver who can bring to bear technical expertise to work closely with other functions to answer important questions about our products by translating strategic needs into innovative statistical solutions; Is responsible for providing technical statistical leadership to data-related research in Health Technology Assessment (HTA) and reimbursement to improve the success of the compound considering requirements across the globe (US, Europe, Asia Pacific and other geographies)
Anforderungen: PhD with at least 3+years of experience or MSc degree with at least 6+ years of experience in statistics or related field; Expertise in HTA, health outcomes research, and/or real-world evidence is required; Significant experience in Health Technology Assessment in major markets; Excellent knowledge of statistical theory and methodology, with solid understanding of experimental design and causal inference methods

Aufgaben: Data Analysis & Modeling: Develop predictive models and machine learning algorithms to enhance the performance of diagnostic devices. Conduct deep data analysis to identify patterns, trends, and insights that can inform product development and clinical strategies; Projects: Contribute to data science projects from conception to deployment, ensuring alignment with business objectives and regulatory requirements, and providing project estimates and team makeup. Collaborate with cross-functional teams to integrate data science solutions into product development and clinical trials; Innovation & Research: Stay abreast of the latest developments in data science, machine learning, and medical diagnostics. Under supervision, explore new methodologies and technologies that can drive innovation in diagnostic solutions
Anforderungen: Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, Biostatistics, or a related field; Requiring a minimum of a Master’s degree +3yrs of experience or a Ph.D; Expertise in statistical analysis, predictive modeling, and machine learning algorithms; Expert proficiency in Python programming and software engineering principles

Aufgaben: Creates design and construction of databases for the purpose of research projects and clinical trials. Monitors and coordinates data collection and provide critical feedback for improvement. Conducts statistical analyses for the use in reports, presentations and manuscripts. Provides advisory services in the use and interpretation of statistical analyses on research projects, clinical trials, grants, proposals, and consultation services
Anforderungen: Bachelor’s degree in Statistics/Computer Science/Bioinformatics/Data Specification/Data Science/Computational or equivalent experience. 3-5 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/Data Science

Aufgaben: Producing high quality regular investment performance analysis and reports; Assisting with the review and implementation of investment options; Using mathematical models to project and compare investment outcomes for different investment strategies; Using mathematical models to project maximum losses; Assisting in the delivery of other non regular reporting and investment consultancy services to clients; Representing BWCI professionally and effectively with clients and investment managers; Checking work of other team members; Providing input into investment related projects and processes including development of mathematical models
Anforderungen: Maths at A Level (A - B Grade) is essential, English minimum C grade at GCSE; Maths or science based degree is desirable; Good knowledge of Microsoft Office, specifically Word and Excel; If suitable progress is made the successful candidate will be supported through Institute and Faculty of Actuaries exams; Previous experience in a financial services office environment will be an advantage to applicants; Knowledge and experience of visual basic or similar would be advantagous

Aufgaben: Gesprächsführung mit der lokalen Bevölkerung sowie Vertretern von Institutionen und Behörden im Einsatzgebiet zur Erkennung potentieller Lageveränderungen; Unterstützung des Teamleaders im Erarbeiten von Gesprächsstrategien sowie Rapportieren der Informationen von Gesprächspartnern; Durchführen von Patrouillen mittels Fahrzeug oder zu Fuss; Informieren und Instruieren der Sprachmittler vor Gesprächen, Meetings und Patrouillen; Erstellen von Rapporten in englischer Sprache zugunsten der Missionsführung gemäss deren Einsatzrichtlinien
Anforderungen: Abgeschlossene Berufsausbildung oder Studium; Zur eigenen Sicherheit und zur Sicherheit der Kameradinnen und Kameraden sowie einer reibungslosen Zusammenarbeit mit österreichischen Kollegen/innen und lokal angestellten Personen, sind für diese Funktion Kenntnisse der deutschen Sprache (mind. B2) erwünscht; Kenntnisse der englischen Sprache (mind. B2); Ziviler Führerausweis (Kat B); Alter zwischen 18 und 65 Jahren; Abgeschlossene Rekrutenschule der Schweizer Armee, Frauen mit Schweizer Staatsbürgerschaft ohne militärische Grundausbildung werden der Funktion entsprechend militärisch ausgebildet

Pensum: 100%
Aufgaben: Durchsetzung der vom UNO-Sicherheitsrat verabschiedeten Resolutionen überwachen; Verstösse gegen die Resolutionen der UNO beobachten und rapportieren; Gespräche mit der lokalen Bevölkerung und Behörden führen sowie Patrouillentätigkeiten im Einsatzgebiet ausführen; Truppenbeschränkungen sowie Waffen und Munition im Einsatzgebiet auf Grundlage des Missions-Mandates kontrollieren; Einhaltung der Grundlagen zum Schutz der Zivilbevölkerung und des UNO-Personals durch Verhandlungen und Gespräche kontrollieren
Anforderungen: Abgeschlossene Berufslehre oder Studium, praktische Veranlagung und einwandfreier Leumund; Militärischer Grad der Schweizer Armee als Oberleutnant, Hauptmann, Major oder Oberstleutnant; Psychische und physische Belastbarkeit; hohe Bereitschaft, sich im internationalen Umfeld für mehrere Monate als unparteiischer Militärbeobachter für die UNO einzusetzen; Fähigkeit, persönliche Interessen in den Hintergrund zu stellen; Ziviler Fahrausweis (Kat. B1); Sehr gute Englischkenntnisse, Französischkenntnisse sind von Vorteil

Pensum: 100%
Aufgaben: Help our diverse community of scientists in using our computing infrastructure and collaborate within the team to guarantee smooth operations of the environment; Contribute to the configuration and maintenance of the HPC and virtualization environments, and adapt it to the current needs of the research community, following our Infrastructure-as-Code approach; Collaborate with the implementation of security measures, user workspaces, and services in our biomedical IT research environment (sciCOREmed); Contribute to the general Linux operations of the service, depending on interest and skills (storage management, software deployment, support for web applications, IT security); Participate in relevant technical meetings with our partners at the University of Basel and at SIB - Swiss Institute of Bioinformatics
Anforderungen: Masters in computer sciences or equivalent, or academic degree in a computational domain; Ability to work collaboratively in service operations based on agile and four-eyes principles; Strong experience with Linux systems administration, preferably in an HPC-based research environment; Hands-on experience in configuring, deploying, and supporting web services: incl. application and management services (e.g. access control, monitoring, logging); Hands-on experience with script-based system management (bash, Python) and in using version control systems for configuration management (e.g. git); Knowledge of Linux configuration tools such as Ansible, Terraform, MAAS

Dauer: 20 m
Aufgaben: The project will study male-female health differences with an innovative approach. It will analyze differences in healthy years of life, going beyond average indicators (for example healthy life expectancy) to study the entire distributions of years spent in good health; The project activities will include: analysis of international mortality and health prevalence data; application of a mix of statistical and demographic methods; elaboration of the results and preparation of related scientific publications; The following skills are required: knowledge of demographic methods and the basics of probability theory; documented experience with data handling and analysis of large datasets; advanced knowledge of R-language programming; academic English proficiency and ability to draft scientific reports and papers; secs-s/03 - statistica economica
Anforderungen: Early stage researcher or 0-4 yrs (Post graduate)

Aufgaben: You will be a part of an international team developing open-source tools capable of supporting the development of multi-disciplinary and multi-objective optimized wind farm control functions for grid compliance and services. If you have the skills but not the experience in wind energy science, we would still like to hear from you. The same is valid if you feel you only have part of the skills, but the desire and ability to improve on the rest
Anforderungen: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Knowledge in one or more of the following fields: Data driven methods ideally with application to wind energy science; Data-driven wind farm layout optimization; Data-driven active power control in large wind power plants; Experience in programming with scientific Python

Aufgaben: Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze protein isoforms
Anforderungen: As a formal qualification, you must hold a PhD degree (or equivalent); Strong programming skills; Strong background in probabilistic models or strong math/stats background

Aufgaben: Your objective will be to create the bioinformatic tools that databases that enables isoform-level systems biology
Anforderungen: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with developing machine learning models, probabilistic modeling or other bioinformatic tools

Aufgaben: Your objective will be to create the bioinformatic tools that enables isoform-level analysis of proteomics data as well as apply them within proteomics
Anforderungen: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell)

Aufgaben: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben; zum Beispiel: Modellierung und Konzeption komplexer Systeme, Umsetzung innovativer Protoypen und Begleitung anspruchsvoller IT-Projekte, Einsatz von Data-Science-Methoden und modernster Technologien; Grosse Freiräume beim Gestalten der Organisation, Abläufe und Systeme unserer Klienten und der Zukunft unserer Firma; Arbeiten in freundschaftlicher Atmosphäre im Team mit 100% hoch qualifizierten MINT-Absolvent*innen, bei dem auch der Spass nicht zu kurz kommt
Anforderungen: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik