Duties: Explain technical actuarial and/or pension topics to Head of US PRT in New Jersey; Be viewed as the defined benefit pension plan expert within the company; Assess pension risks, calculate premiums, and customized contract terms affecting premiums or operations; Guide onboarding and lead cross function collaboration; Implement governance, controls, process, and procedures; Review actuarial calculations and actuarial methodology in a controlled environment
Requirements: Bachelors degree in Actuarial Science, Mathematics, Statistics, or related field; Pursue one of the Society of Actuaries, the Enrolled Actuaries, or the American Society of Pension Professionals & Actuaries certification; At least one of Pricing, Valuation, Actuarial Modeling, Pension Administration or Contract experience

Duties: All reports related to Statutory valuation reports (MOF, AVI); All reports related to US GAAP valuation reports; Financial projections (Forecast, 5 Year Plan, Budgeting); Reinsurance Reporting; Experience Studies and Statistics; Prophet modeling in cooperation with regional; Other actuarial tasks (Audit, Embedded Value, Profitability, Value of New Business, Liability duration, Actuarial Model change management, projects related to Valuation function such as financial projection in deals)
Requirements: Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field; Full qualification from the Society of Actuaries or equivalent professional actuarial organization; A minimum of 10 years of experience in the actuarial field with an emphasis on valuation, including at least 5 years of managerial experience; Proficient in actuarial modeling software and other related tools

Duties: Lead strategic, statistical thinking and contributions to clinical development plans; Through collaboration with experts, develop design options and provide quantitative decision support; Innovate and improve study design through adaptive design and Bayesian methods, including trial simulation; Improve statistical methodology, processes and delivery activities; Oversee internal and external statisticians in the delivery of analysis and reporting; Interpret and present clinical trial results
Requirements: A Statistics, Mathematics, Biostatistics, related MS Degree; 5 years of proven experience; Direct experience of clinical trials, ideally in pharmaceuticals or healthcare; Excellent interpersonal skills

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: New product development (Especially expertise in PAR products); Maintain in-force product; Other Ad Hoc projects related to pricing
Requirements: Qualified Actuary

Duties: This is an exciting opportunity to join our company’s AI CoE team which is transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks
Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields; 7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning; 1+ years of direct Generative AI (GenAI) and building LLMs experience; Research experience with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs; Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; 2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience

Duties: Develop computational methodology and perform critical analyses to support development of new products and improvements to existing products, both as an individual contributor and/or as a team leader; Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects; Work closely with bench scientists to develop and optimize new wet-lab protocols in concert with computational biology development efforts; Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns
Requirements: PhD in a life science or computational discipline; 5+ years of postdoctoral research or professional experience related to NGS or cancer diagnostics

Duties: Programming edit checks for Data Management with SAS; Create tables, listings and figures for clinical study report; Annotated blank CRF (acrf.pdf) following FDA/CDISC or sponsor guidelines; Create or QC SDTM specifications and SDTM datasets; Create or QC ADaM specifications and ADaM datasets; Create Study Data Reviewer’s Guide (cSDRG.pdf) and Analysis Data Reviewer’s Guide (ADRG.pdf); Create define.xml or define.pdf following FDA/CDISC or sponsor guidelines
Requirements: Bachelor’s degree in computer science (CS), statistics or related scientific disciplines with 7 yrs. clinical programming experience; Master’s degree in CS, statistics or related disciplines with 6 yrs. of clinical programming experience; Working knowledge of ICH and Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology; Good understanding of clinical drug development process

Duties: Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies; Responsible for the research and development of cutting-edge machine learning technology, application of visual, speech, audio and text recognition post-processing technology to products; Responsible for the optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of Trust and Safety; Responsible for building the ML model to recognize inappropriate content in the Trust and Safety context
Requirements: Bachelor's degree in Computer Science or equivalent with 5+ years of experience; Familiar with large-scale language modeling algorithms (N-gram, nnlm); Familiar with decoding engine optimization, with experience in WFST composition and optimization; Familiar with decoding algorithms under the end-to-end framework, with experience in decoding algorithm development and optimization

Duties: Individually contribute to data science and machine learning R&D projects; Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems; Contribute to projects from early-stage research through development; Implement and optimize state-of-the-art algorithms in distributed environments; Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets; Participate fully in our collaborative approach to research and applications projects
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; Proven ability to conduct research projects

Duties: Lead the process for the reserving and planning for the Motor portfolio; Lead the non-production monitoring of the retail portfolios (Motor and A&H); Manage the analysis of claims experience, business performance and financial condition for the Motor portfolio; Conduct reviews of pricing proposals; Manage analyst(s) in their data preparation and analysis with focus in improving efficiency, autonomy and accuracy; Assist with and manage (where applicable) the preparation of local statutory report and financial condition report; Collate key insights from monitoring, discussion with different departments and analysis
Requirements: Relevant undergraduate degree or higher; At least 5 years of actuarial working experience for Manager role; Familiarity with the Motor portfolio in Malaysia

Duties: Trabalhar na precificação dos produtos Celular, Residencial, Prestamista e Vida; Realizar a extração de base de dados; Gerar e analisar os relatórios de acompanhamento da carteira; Projetar a Sinistralidade por mês venda; Realizar o comparativo de preços versus mercado; Testar as novas variáveis externas (Score); Criar e atualizar o motor de calculo; Suportar o time de produtos e comercial
Requirements: Superior completo em Ciências Atuariais; Inglês e/ou Espanhol intermediários; Excel avançado; SAS ou SQL avançado

Duties: Perform actuarial analysis of the profitability (pricing study) for select lines of business; Support the development and enhancement of efficient tool kits and infrastructure for the Actuarial Pricing Study function, to enable business critical delivery of the Financial Plan, including rate planning for PRS across all lines of business. Engage and co-ordinate the support of other functions such as IT, Product, and Finance to ensure seamless delivery. Liaise with Pricing Actuaries and other key stakeholders to ensure tools are fit for purpose; Build and implement profitability monitoring tools and diagnostic initiatives, while maintaining documentation of data and processes. Incorporate new analyses and models into the profitability studies where useful; Create actuarial reports and dashboards that foster transparency and consistency and tell a compelling story to both internal and external stakeholders
Requirements: Bachelor’s degree or equivalent in Actuarial Science, Mathematics, Economics, Computer Science, Statistics, or related degree or certification; Minimum of four (4) years insurance industry experience, preferably in a Personal lines, Small Commercial, or Loss Reserving role; 4+ actuarial exams; Expert Excel and SQL skills required

Duties: Contribute up and down the stack from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Support on R&D/discovery pilot projects where we enable clients to understand their data and problems which can be solved using the platform; Work closely with a team of ML Engineers, Data Engineers, and Product Managers to build and deploy machine learning models; Play an active role in leading team meetings and workshops with clients; Rotate between client project work and internal product development in alignment with your personal development plan
Requirements: Master of Science or PhD - Data Science or any related field; Have previously built insights from ML models, building explainable ML models and not just black box algorithms; Demonstrates the ability to make "Data Driven Decisions" and has the ability to communicate why those decisions make sense; Excellent communication with technical and non-technical teammates as well as clients. Prior experience in a client facing role will be necessary; Understands the importance of "Data exploration" (in Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines

Duties: Oversee teams of Engagement Leads and Deployment Leads who execute day to day customer operations. This includes ensuring customer data is ready for our platform, training new users, identifying insights, escalating and troubleshooting issues, creating value stories, and working with customers; Ensure platform deployments run on schedule and customers understand their data and relevant problems to be solved with the platform; Work closely with senior executive leadership at customer companies to share insights and value stories; Ensure customers are receiving support and guidance on technical issues and that the team is working closely with customer stakeholders to understand their technical requirements and objectives
Requirements: 7+ years as a client/customer-facing project lead, managing teams and working closely with high level executives; 3+ years as a people manager; Leverages problem solving, creativity and technical skills to help organizations use their data to drive impact in the world

Duties: Supervising a team of four actuarial analysts; Producing state-level Homeowners rate indications and presenting key findings to Actuarial and Product Management; Collaborating with Product Managers to develop pricing strategies; quantifying the expected rate and profitability impacts of such initiatives; Oversee development and implementation efforts for the Homeowners By-Peril rating plan for new business implementations by jurisdiction
Requirements: Minimum of seven (7) years of experience in property/casualty actuarial disciplines; personal lines ratemaking a plus; Actuarial designation of ACAS required, FCAS preferred

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: Contribute to the development of data science methodologies, frameworks and best practices across customer/stakeholder archetypes; Develop and implement advanced analytics models and mentor others on the use and application of those modeling techniques; Support brand-related strategies, opportunity discovery and investment decisions with advanced analytics (examples include Customer Segmentation, Patient Adherence Analysis, HCP Network Analysis, etc.); inform global, regional and local brand related decisions; Implement marketing performance measurement processes such as Marketing Mix Optimization, brand tactics/campaign assessment ROI, etc
Requirements: Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or seven years with Master's degree and related experience required, with demonstrated success in managing related teams and projects of increasing size and complexity; Recent hands-on experience with statistical modeling techniques and their application within complex analytical projects (e.g., regression/promotion response modeling, ROI, correlation coefficient, etc.)

Duties: Research and implement efficient AI/machine learning (ML) algorithms and feature exploration methods Develop worfklows from existing algorithms, or modify bioinformatics methods to analyze next generation sequencing (NGS) data, including but not limited to long-read sequencing, RNA-seq, whole genome sequencing (WGS), scRNA-seq. Develop and implement novel algorithm and methods for NGS data types to meet R&D objectives, and the demonstration of the validity of the methods through prototypes and benchmarking using appropriate controls
Requirements: PhD in Computer Science, Bioinformatics, Molecular and Cell Biology or related disciplines; 4+ years of hands-on experience with gene expression/NGS data analysis using AI/ML; Expertise with common NGS visualization and processing tools (e.g., IGV, samtools, DESeq2); Proficiency in Linux/Bash, Python and R; Familiarity with Cloud

Duties: Scale and build infrastructure for predictive models on large-scale datasets to address various business problems; Transform requirements into architectural and feature specs; Mentor and provide technical guidance to junior engineers, review code, and ensure alignment with best practices in software development and AI/ML engineering; Collaborate with product management and engineering groups to develop new products and features; Work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company
Requirements: 7+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features; Proficient in one or more programming languages, such as Python, Java, or Scala; Familiar with one or more machine learning, deep learning, or statistical modelling tools such as R, scikit-learn, and JupyterLab; Familiar with public cloud computing platforms and frameworks such as DataBricks, SageMaker, and Tensorflow

Duties: The Data Scientist, Ophthalmology Brand Analytics plays a critical role in providing valuable strategic business insight and actionable recommendations to global and priority Commercial Division/markets to support achievement of brand objectives for priority/strategic products. This position is responsible for assessing performance on an ongoing and ad hoc basis to identify new business opportunities and insights and advise key stakeholders on how best to leverage the opportunities. In addition to providing sound counseling and objective interpretation of data to the stakeholders in global and regional commercial functions
Requirements: Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or six years with Masters degree and related experience required, with demonstrated success in managing projects of increasing size and complexity; Proficiency in coding language (e.g. SQL, SAS, R, or Python)

Duties: Project Management toolkit; Ensure that database design is consistent with 21 CFR part 11; Provide input to the development of case report forms, in conjunction with Clinical Research and Clinical Data Specialists; Annotate CRFs and develop study clinical databases using Oracle Clinical or other clinical database; In conjunction with Clinical Data Specialists, write study specific data entry work instructions; In conjunction with the Validation team, ensure databases are validated and data entry training has been provided before the database is activated; With Clinical Research staff and Clinical Data Specialists, contribute to the development of data edit check rules
Requirements: Bachelors’ degree required. Management, Psychology, Information science, public health, or life science preferred; Minimum of 3 years’ experience in clinical research and database programming; prefer at least 1 year in device or pharmaceutical clinical trials as a clinical programmer performing mentioned above functions using SAS, Oracle Clinical or Clintrial and/or ACCESS

Duties: We are looking to hire a Senior Machine Learning Engineer with a proven record applying cutting-edge techniques to create seemingly magical software features for Health products. We want you to be technically deep, and a strong communicator who can work effectively with our partner engineering teams. You will help Apple push the boundaries of artificial intelligence to make life-improving Health and Wellness-driven product experiences for billions of customers around the world!
Requirements: MS or PhD in Computer Science or similar field, or equivalent experience; Experience or strong personal curiosity about building consumer digital health and wellness products; Hands-on experience productizing machine learning driven experiences from conception to shipped product; Deep knowledge of Objective-C, Swift, or C/C++, with significant experience developing production code for a shipping product

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