Duties: Effective risk and inforce management of globally assumed products with longevity risk; Driving efficiencies in longevity and collateral systems and processes; Leveraging the value in the inforce, through actionable analytics and business insights; Supporting new business growth
Requirements: Fellowship in a recognized actuarial organization preferred (FSA, FIA, FCAS, FIAA); 7+ years’ experience; at least 4 years post-qualification experience; Undergraduate degree in related field; Experience in actuarial modelling software such as Prophet and/or AXIS; Advanced knowledge of life, health, and/or annuity products; Advanced written and verbal communication skills, whereby complex and technical information can be conveyed in a way that is meaningful by all stakeholders, including senior management

Duties: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest; Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas; Use data driven methods and leverage the unique properties of our data to improve candidates retrieval; Work in a high-impact environment with quick experimentation and product launches; Keeping up with industry trends in recommendation systems
Requirements: M.S. or PhD in Machine Learning or related areas; 5+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning); End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Duties: Manage and grow the engineering team, providing technical vision and long-term roadmap; Understand the conversion data and improve the ads conversion prediction models by improving label quality and volume, as well as building innovative modeling solutions; Effectively collaborate and partner with several cross functional teams to improve model performance/efficiency; Mentor and grow ML engineers to allow them to become experts in modeling/conversion prediction
Requirements: M.S./PhD degree in a relevant field such as Computer Science, Statistics or equivalent experience; 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, natural language processing and/or computer vision; 1-2 years of experience leading projects/teams either as Tech Lead Manager or Engineering Manager

Duties: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines; Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM, specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE); Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision; Analyze information and develop innovative solutions to programming and data analysis challenges
Requirements: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 3 years of clinical programming experience; Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus; Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members; Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world; In-depth knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology

Duties: Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies; Provide statistical oversight to studies and assure adequate quality and consistency with project requirements; Responsible for assuring that data for statistical analyses are complete, accurate and consistent; Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions; Responsible for validity of analysis and explore alternative analysis strategies as needed
Requirements: MS or PhD in Statistics, Biostatistics or related field. PhD with 3-5 years of experience or MS with 6-8 years of experience; Strong oral and written communications skills, with ability to effectively communicate internally and with clients; Demonstrated understanding and insight in statistics, drug development process and relevant FDA regulations; Pharmaceutical, CRO, or related industry experience with clinical trials, including interaction with Regulatory Agencies, especially FDA

Duties: Responsible for protocol development including study design, sample size estimation, randomization, and statistical analysis plan for assigned studies; Provide statistical oversight to studies and assure adequate quality and consistency with project requirements; Responsible for accuracy and completeness of database quality checks; Responsible for assuring that data for statistical analyses are complete, accurate and consistent; Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions; Responsible for validity of analysis and alternative analysis strategies when unforeseen circumstances arise
Requirements: MS or PhD in Statistics, Biostatistics or related field. Ph.D. with 2+ years of experience or MS with 4+ years of experience; High degree of technical competence and communication skill, both oral and written; Competent in experimental design, descriptive and inferential statistics; Pharmaceutical, CRO, or related industry experience with clinical trials