Duties: Libera is a leading Swiss consulting firm for benefit institutions and companies in Switzerland. Since 1963 we have been advising our clients on occupational benefits, while supporting them with outsourcing services and in all matters of international accounting. We have two locations in Basel and Zurich and employ around 80 people
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Duties: Assist in identifying areas of the systems requiring modification to support new product designs and functionality; Coordinate tasks associated with creating and modifying life and annuity product plans on administration, new business, illustrations, and other systems; With oversight, read/review product pricing requirements, elicit necessary information by seeking answers from appropriate business partners. Write business requirements for needed modifications to systems, if applicable; Modify and create test tools to validate product rates and values on impacted systems, following established protocols and standards
Requirements: Bachelor’s degree; mathematics, finance, computer science or related degree preferred; Experience 3-5 years in systems or systems support role in financial services industry; Experience with a wide range of life insurance and annuity products with a demonstrated understanding of product mechanics and calculations, including development of UL, indexed UL, and/or whole life cash value and death benefit calculations, definition of life insurance and modified endowment calculations, interest theory, and other related actuarial product benefit calculations

Duties: Provide Statistical leadership to late-stage oncology clinical trials: developing trial design options and providing high quality decision support; Statistical lead for a specific oncology molecule/indication in Health Authority interactions and maintain an accountability thread to TA head; Works collaboratively with Statistical Programmers, Biostatisticians, Clinical Research Associates, Clinical Data Managers and other Clinical, Global Drug Safety, Regulatory and Project Management staff to meet project deliverables and timelines for statistical data analysis and reporting
Requirements: 12 years + (Bachelors); 10+ years (Masters); 8+ years (PhD); 4+ years (MD) of statistical analysis experience in the pharmaceutical or biotechnology industry (or at a CRO); Industry experience in the statistical analysis of biomedical data using statistical software; Extensive hands-on experience in oncology drug development including design and analysis of phase 3 oncology trials and active participation in NDA/BLA filing through label negotiation

Duties: Perform tasks under the guidance of project lead or CMS departmental principals on analytic design and statistical analytic planning, coordinate real world database management, and data warehouse construction or maintenance. Develop documentations of analytic plans, prepare for statistical concept communications and be able to advise on analytic strategies and recommend methodological solutions on complex analytic topics. Lead and perform statistical analyses, modeling, reporting, analytic interpretations, and slide development. Develop SAS macro libraries to standardize disease identification, cohort constructions, mapping of healthcare resource utilization and expenditures to standard metrics for product value propositions
Requirements: Biostatistician; 6-9 years of experience

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns
Requirements: Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills; Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development; Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems

Duties: Leveraging Python and TensorFlow/PyTorch in the backend, the AI & Machine Learning Software Engineer; Develop new AI models, build APIs for web services; Mentor the team on deploying containerized AI services to Azure Kubernetes Service (AKS)
Requirements: Working closely with a CTO who has over 10 years of software leadership experience, and a team of 10 other brilliantly minded AI & Machine Learning Software Engineers, you will be a pioneer in the ongoing development and support of their software

Duties: As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production
Requirements: PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science. 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus

Duties: Seeking an experienced research and engineering professional to lead research and development of new deep learning algorithms for speech recognition and language understanding to join our technology team. Members of the technology team work collaboratively as a group and with colleagues in engineering and product to devise and deploy new algorithms for speech recognition, speaker separation, diarization, and speaker identification
Requirements: PhD in relevant discipline is highly desirable, but others with equivalent experience are encouraged to apply; Academic specialization or extensive experience in working on solving problems in speech recognition and NLP

Duties: Prepare and analyze complex data for use in actuarial experience studies, valuation, or pricing projects; Provide significant support for development of pricing and underwriting tools; Develop reserve factors, analyze reserves and monitor reserve changes; Develop experience analysis reviews; Support maintenance of valuation system; Support preparation of financial reports and tax returns
Requirements: Bachelors Degree required; Credit for at least four exams; A minimum of 12 months hands-on experience and in-depth knowledge of business analysis, pricing, valuation, ALM or corporate experience

Duties: Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both; Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes; Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities; Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions
Requirements: You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures; Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision; Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch

Duties: Work on extending single cell analysis pipelines to include QC and analysis of TCR-seq, CITE-seq, and LIBRA-seq data types; Work on benchmarking the best methods for integration of single cell RNA-seq datasets from different sources; Work with the IT teams to establish and maintain an automated workflow for data acquisition and processing in a cloud-based environment; Develop analytics pipelines for different types of high-dimensional data, including but not limited to data from next generation sequencing, flow cytometry, mass spectrometry, ELISA, Luminex, or imaging
Requirements: Currently enrolled in an advanced degree program in computational biology, bioinformatics, statistics, computer science, or bioengineering; Currently enrolled or recently graduating from a PhD program is a plus; Good coding experience in Python is required, experience with R also beneficial; Experience in cloud-based computing environment and data science development platforms, such as GitLab, Jupyter, R shiny, Anaconda, and Docker container, is needed

Duties: Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams; Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling; Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets; Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses
Requirements: An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying; Extensive database architecture experience (e.g. SQL, MySQL, etc); Extensive programming experience and intimate knowledge of programming languages for statistical analysis; Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets

Duties: Collaborate with product managers to translate business and product requirements into AI projects; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Coordinate with global teams to drive projects from research to production; Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Lead and mentor both junior and senior machine learning engineers
Requirements: PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must

Duties: Devise, implement and lead research projects focused on identifying and characterizing molecular networks underlying human traits using data from human biobanks and other sources; Use statistical associations, causal inference methods and biological knowledge to generate hypotheses and design experiments to test them; Work in close collaboration with an interdisciplinary group of experimental scientists, computational biologists and statisticians
Requirements: A PhD degree in biology, genetics, computer science, statistics or related fields 5+ years of experience in statistical genetics and/or epidemiology (including PhD). Post-graduate experience (post-doc or industry) is a plus Strong coding skills in Python and/or R

Duties: Support Ginkgo’s Biosecurity Teams with your technical expertise in bioinformatics; Support data management across biosecurity programs; Support pipeline development & improvement for biosecurity, biosurveillance, and new sequence based tools; Support retrieving, parsing, and processing structured and unstructured data; Assist in management of data pipelines across various stages of the lifecycle from exploration to production including logging and monitoring issues & bugs
Requirements: BS + minimum 2 years relevant experience, OR Master’s degree in related discipline; Proficient in at least one software programming language (Python); Proficient in workflow management software (Nextflow, Docker); Proficient in distributed computing (AWS/Google Cloud)

Duties: Operate in collaboration with study personnel to provide input on study protocol, design studies and write protocols for the conduct of each study; Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, 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
Requirements: Ph.D., or equivalent or, M.S. with experience, Statistics, Biostatistics, or equivalent of field study; Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc

Duties: Develop and price annuity products in AXIS; Maintain pricing model for routine rate setting; Implement new products, assumptions, and features; Sensitivity testing, risk analysis, and product feature evaluation; Work closely with cross functional areas: Actuarial, finance, distribution, strategy, compliance, technology, investments, data science
Requirements: Minimum of 3 years of actuarial experience; Experience with annuity products

Duties: Integrate robotic hardware and software systems by creating, augmenting, or developing new APIs; Plan and execute proof of concepts and demonstrations for internal and external consumption; Create predictable behaviors for human-robot and robot interactions; Write and execute test procedures for performance evaluation; Document and share knowledge and refine designs based on input from the team
Requirements: BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or similar field; 3+ years of commercial experience working with C++ or other object-oriented languages; 3 + years experience with API development, hardware and software integration; Knowledgeable regarding robotics systems architecture and mobile robotics; Demonstrable experience with robotics integration, driver development, and bring up with Robot Operating System (ROS). 

Duties: As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc
Requirements: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience; 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring; 5+ years of industry experience in software engineering roles and development experience in Python, SQL, Go, and/or other programming languages

Duties: Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Evaluate and benchmark AI models including LLMs, perform inference testing, optimise models and monitor model performance in production; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Contribute to the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Develop production code and advocate for the best coding and engineering practices
Requirements: Demonstrated experience in designing and implementing scalable AI models for production; Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers; Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts

Duties: Design, test, deploy and maintain machine learning use cases leveraging IBM Watson SaaS environment and toolset, and integrate with the audit management systems; Enhance existing AI/ML capabilities through ideation, exploration, testing, prioritization, and implementation; Design, test, and refine prompts to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance; Perform analytics on AI/ML capabilities usage to understand trends, patterns, and pain points and implement a sustainable feedback loop to ensure positive, continually improving user experiences
Requirements: Bachelor’s degree in Data Science, Computer Science, MIS, or related discipline; 5+ years’ experience in AI, machine learning, and model development and deployment; Extensive experience in machine learning use case design, testing and deployment in IBM SaaS/Watson environment

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Research and develop new methods to build, test and monitor AI consistent with UHG guiding principles for Responsible Use of AI (quality, explainability, fairness, security, accountability, and continuous improvement); Design and build new tools to implement AI performance and fairness testing and monitoring in partnership with legal, compliance, and engineering teams; Play a key leadership role in the Machine Learning Review Board to provide direct oversight and review of proposed AI from teams across Optum, UHG and UHC (UnitedHealthcare)
Requirements: Master’s degree in computer science, engineering, mathematics, statistics, or related STEM discipline; 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering; 8+ years of experience in Python, R, or other programming languages for data analysis and AI/ML development; 8+ years of experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn

Duties: Pricing of reinsurance treaties in collaboration with underwriters, especially German language submissions; Continual improvement of existing processes to enhance efficiency, accuracy, and transparency; Developing strong working relationships with the underwriters; Supporting International Pricing with tool maintenance and development during quiet periods; Ad hoc support for the wider Actuarial and Underwriting Teams as required
Requirements: Excellent academic background of a technical or mathematical nature; Undertaking actuarial training from a recognized association (DAV/IFoA/CAS/etc.); Experience with insurance is essential; experience with reinsurance pricing would be beneficial; Excellent skills in Excel and experience with a programming language such as VBA, R, Python, or C++ would be beneficial; Fluent in German and English

Duties: HJF is seeking a Finite Element Analysis (FEA)/Heat Transfer Computational Research Scientist II to support the Biotechnology High-Performance Computing Software Applications Institute (BHSAI). The mission of the BHSAI is to perform interdisciplinary research, combining physical, computational, and life-science research, to improve the efficiency and efficacy in the development of militarily relevant medical products for Force Health Protection
Requirements: Doctoral Degree in Engineering, Computational Physics, Mathematics or related field; Minimum of 3-5 years of experience (post doctorate degree) required