Duties: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products; Support the bioinformatics function within a product development team; Contribute to the design and development of a standardized automated testing infrastructure; Analyze, integrate, model and interpret experimental data; Develop, document, and maintain reusable programming code; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent; Strong programming skills and experience with at least one programming languages, such as Python, R, etc; Experience with data analysis and visualization of next-generation sequencing data and large datasets; Familiarity with common bioinformatics pipelines and data formats; Solid understanding of statistical and biological concepts

Duties: Checking calculations for actuarial valuations or other actuarial consultancy advice; Checking/drafting reports to communicate results to clients; Assisting junior members of staff and allocating workflows; Supporting managers and partners
Requirements: Three years’ experience in pensions consultancy; Making good progress through the actuarial exams

Duties: Analyse, integrate, model and interpret experimental data to drive the development of whole-transcriptome and whole-genome clinical tests for oncology in proof-of-concept studies; Contribute to the design and development of a standardized automated validation infrastructure for use within an ISO15189 medical testing laboratory; Develop, document, and maintain reusable bioinformatics analysis code; Work with large data sets to solve complex problems of analytical, computational, or integration-related topics; Support the participation to External Quality Assurance Schemes and inter-laboratory comparison activities; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters, Ph.D. or equivalent in Bioinformatics, Computational Biology or related field; Proficient in bioinformatic and analysis tools and packages, especially for Next Generation Sequencing (NGS) data; Experience in cancer genomics is preferred; Experience in working in an ISO-accredited laboratory is preferred; Proficient in either R or Python, comfortable with shell scripting and HPC, familiarity with git

Duties: Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation; Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure; Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production; Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Requirements: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with full time industry or research experience in the field; Hands-on experience and solid understanding of machine learning and deep learning methods; Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas); Scientific thinking and the ability to invent

Duties: Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models with a high degree of autonomy; Suggest, collect and synthesize requirements and create effective feature roadmap; Build strong crossfunctinal partnerships and code deliverables in tandem with the engineering team; Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Actively seek and give feedback in alignment with Meta’s Performance Philosophy
Requirements: Currently has, or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta; Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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)
Requirements: 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

Duties: 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
Requirements: 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

Workload: 100%
Duties: 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
Requirements: 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

Workload: 100%
Duties: We are seeking two highly motivated and qualified Research Fellows to join Promatix's computational biology group and they will be seconded into the Fisher lab for an initial period. The group investigates the evolutionary dynamics of cancer (initiation, progression, response to therapy and emergence of resistance) using computational models. The post holders will be expected to make significant contributions to the development of computational models for the cancers being studied by Promatix/the Fisher lab (e.g., breast & lung cancer). This will involve data discovery, analysis, computational modelling, and experimental validation in partnership with our experimental collaborators.‍
Requirements: Applicants will have a PhD degree in computational biology, computer science, engineering, physics, mathematics or bioinformatics, or a degree in biological science with substantial experience in computational work. Experience in formal verification methods (in particular, model checking, temporal logic, static analysis, SAT solving and program synthesis), logical modelling and statistical analysis are essential. Candidates should have excellent programming skills in Python, MATLAB, and R. Experience in machine learning and proteomics or other omics is desirable

Duties: Here you will find companies/institutions offering quantitative consulting (Mathematics, Statistics, Actuarial consulting, Data Mining, Econometrics, Operations Research, Bioinformatics & more). Please contact these companies directly
Requirements: Currently, we list the following companies: acad.jobs AG, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, AT Analytics AG, Basycon Unternehmensberatung GmbH, Consult AG Statistical Services, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Systemorph AG

Duties: With 29 member states, the European Molecular Biology Laboratory (EMBL) has more than 110 independent research groups and service teams covering the spectrum of molecular biology at six sites in Barcelona, Grenoble, Hamburg, Heidelberg, EMBL-EBI Hinxton, and Rome
Requirements: EMBL posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Developing and enhance capital modelling capabilities for the Lloyd’s syndicate, SIEL and SEIL, which may involve enhancing parts of existing models for entities, and building/consolidating reports from the models for various uses; Preparing Solvency Capital Requirement (SCR) submissions for Lloyd’s (the Lloyd’s Capital Return) for the syndicate, and supporting other entity model development as required. Communicating results and providing analysis of change to the Head of Capital and Chief Actuary; Supporting annual and ad-hoc parameterisation of capital models. This will involve investigating new methods and seeking new data sources to continually improve the process; Preparing capital metrics and output to aid business planning and management decision making. Communicating these to underwriters to ensure their understanding of key results
Requirements: Qualified/Nearly qualified with Institute & Faculty of Actuaries or equivalent; Strong relevant/technical experience; Reserving principles; Lloyd’s capital setting processes; Solvency II principles, EU directives in relation to Solvency II and capital adequacy

Duties: We currently have opportunities for a Statistician to join our team! This could be based from our Medical Devices Centre of Excellence in Witney, Oxfordshire, or from our Maidenhead office
Requirements: We are therefore keen to hear from candidates qualified to Degree level in Mathematics, Statistics or similar, who are looking for an opportunity to make an impact at work and contribute to patient health for the next generation of glucose-monitoring technology. You will need to have good oral and written communication skills to be able to collaborate with different people within the department, prepare reports, interpret results, and provide effective summaries for specialist and non-specialist audiences. You must be organised and flexible in your approach to work, with good attention to detail in order to ensure that data and analyses are accurate. Industry based experience is required, and programming skills in SAS would be advantageous

Duties: We are hiring a Head of Data Science with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers. As a part of Industry Solutions Engineering (ISE), at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use
Requirements: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Duties: The primary responsibility of this role is to increase the systems and data capabilities of the Actuarial team through leading key projects that will arise over time as the needs of the business and actuarial team change. The Development Actuary will also be a key interface between the Actuarial team and IT teams, ensuring that the needs of the team are prioritized and brought to completion. This is a role with dual reporting lines into the Head of Pricing and Head of Reserving, so candidate must be highly skilled in managing multiple stakeholders and progressing multiple projects concurrently
Requirements: Qualified actuary or equivalent; Pricing or Reserving experience; General Insurance background, London market experience preferred but not required; Project work experience; Process improvement experience

Duties: Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches; Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results; Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning; Contribute to publications and open-sourcing efforts
Requirements: Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta; Experience communicating research for public audiences of peers; Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python), including experience with modern ML methods and algorithms; Hands-on experience implementing 3D computer vision algorithms and training/evaluating ML and AI models

Duties: Be responsible for ensuring the quality and timeliness of the delivery of insurance consultancy services. (Clients comprise a wide range including life insurance, life reinsurance, general insurance, captive other projects. Clients are based in Guernsey, Jersey, Malta, Gibraltar and the UK.); Representing the firm professionally and effectively with clients and to maintain a high standard whether by phone, in writing or in person; Being responsible for the review of checked work and to provide checking of (particularly more complex or new) work of other team members in the Insurance Actuarial department; Providing input into insurance related projects and processes including product development and process improvement; Being responsible for the development and maintenance of computer models used within the Insurance Actuarial department; Assisting in the training of the team
Requirements: The successful candidate must be a Fellow of the Institute or Faculty of Actuaries (or equivalent qualification outside the UK) with ideally 2-3 years experience; The successful candidate must be proficient in computer use including effective use of Word and Excel, Powerpoint. Knowledge of PROPHET and/or a statistical programming language such as R or Python would be an advantage

Duties: Responsible for overseeing the Cyber and Commercial PI products within the Financial Lines portfolio; Rating Models: Maintain, re-calibrate and improve existing rating models. Utilize newly available technology to improve pricing outcomes; Develop additional functionality for exposure, experience and stochastic models; Portfolio Reviews: Perform or review annual profit studies to identify areas of opportunity, and help define the line of business strategy for the upcoming year
Requirements: Nearly/newly qualified actuary; Experience in General Insurance and in particular Financial Lines; Knowledge of programming languages a plus, particularly: SQL, R, or Python

Duties: Checking and analysing data received from insurance clients; Assisting in the preparation of data and calculations for standard actuarial valuations and consultancy services for our life and general insurance clients including; General insurance/captive reserving; Solvency II calculations; Actuarial aspects of IFRS 17 accounts; Calculating, checking and analysing financial reports
Requirements: Minimum A Grade A Level for Maths (or equivalent); Applications also welcome from graduates

Duties: Transfer of products and processes from Research & Development into Manufacturing to support our exciting new product launches; Investigation and monitoring of manufacturing, stability and product performance data to drive continuous improvement; To be a key individual for development trials and analytical test methods utilising your statistical background (e.g. Design of Experiments, Analysis of Variance, setting acceptance criteria & capability analysis) to drive quality and business decisions; Utilising your passion for team leadership, people management, and talent development/mentoring
Requirements: You will have a BSc (or higher) in Statistics or Mathematics. Previous experience working in a regulated or manufacturing environment, and SAS/R programming are advantageous

Duties: We currently have an exciting opportunity for a Senior Statistician to join our Technical Operations Statistics team to provide statistical expertise across the ADC product range collaborating with Technical, Manufacturing, Research & Development, Engineering, Quality and Regulatory colleagues
Requirements: You will have a BSc (or higher) in Statistics or Mathematics. Previous experience working in a regulated or manufacturing environment, and SAS/R programming are advantageous

Duties: Your responsibilities will include making a significant contribution to deep learning methodology for cardiovascular imaging, by developing novel deep learning algorithms, especially deep generative models, to unveil and assess pathological signals in CMR imaging. You will also develop and implement the latest deep learning models for CMR imaging and data analysis, using programming languages such as Python, TensorFlow, Keras and PyTorch
Requirements: You are required to hold or be close to complete a higher degree (DPhil/PhD) in a relevant area of research and have strong deep learning and machine learning programming skills. Experience in CMR image processing, good understanding of CMR scanning protocols would be desirable

Duties: Use Actuarial techniques to analyse a client’s portfolio(s) to provide quantitative and qualitative understanding of the loss exposure and inherent volatility; Assist both reinsurance placements and pitching for new business; Assist with the expansion the Lockton Re analytical toolkit; working with the wider team across the company to provide thought leadership on existing and new methodologies; Build and maintain relationships both internally and externally with clients and markets; Proactively support other senior actuaries and invest in the technical and professional development of analysts across the team
Requirements: FIA preferable; Excellent knowledge of actuarial techniques and methodologies, ideally relating directly to Casualty-specific reinsurance; Ability to clearly communicate methodologies, outputs and limitations internally and externally, to both technical and non-technical audiences