• Extract, transform, aggregate, and analyze large and complex datasets using SQL, Python, R, Spark, and related technologies. • Perform exploratory data analysis (EDA), feature engineering, and data validation to support analytics and modeling initiatives. • Develop, evaluate, and maintain descriptive and predictive machine learning models using tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS. • Apply statistical modeling and data mining techniques, including regression, classification, clustering, decision trees, and related methodologies. • Utilize Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to improve analytical workflows and insight generation. • Collaborate with stakeholders to translate business problems into analytical solutions and communicate findings effectively. • Build and maintain business intelligence solutions and dashboards using Tableau, Power BI, or similar visualization platforms.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog. This role is based in Singapore. Responsibilities: - Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations - Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches - Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends - Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - Minimum 6 years of industry experience and a degree in a quantitative field - Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy - Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Experience in schema design and dimensional data modeling a plus - Ability to perform statistical analysis to drive data-informed decisions Preferred qualifications: - Experience in technology, financial services and/or a high growth environment is advantageous Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Role Description The Principal Statistician, Biostatistics will be a lead statistician supporting the design and reporting of Phase I to IV clinical studies and support regulatory filings under the supervision of a more senior statistician. This role is responsible for the statistical aspects of study design, study analysis and validation, and study documentation. The Principal Statistician will provide timely and scientifically sound statistical expertise to clinical trials and develop and execute statistical strategy, design, and analyses for clinical trials. This position will work collaboratively with various departments and oversee work done by statistics and programming external vendors. Essential Functions - Participate in department and cross-functional meetings to optimize clinical study designs, endpoints, and analysis strategies. - Work collaboratively with members of study teams to meet study and recurring report timelines. - Support the development and implementation of study protocols. - Review and provide input to study-specific data capture systems and participate in their validation. - Develop statistical programs as necessary to simulate clinical trial design operating characteristics, perform analysis, prepare data displays, verify data accuracy and validity of analyses performed by statistical programming. - Write statistical analysis plans, perform data analysis and validation, and interpret analyses. - Support project lead statistician. - Prepare for and attend meetings with regulatory agencies. - Respond to statistical questions from regulatory agencies. - Work closely with statistical programming colleagues. - Monitor CRO guidelines and standards to ensure timeliness and quality of deliverables. - Review and validate CRO deliverables. - Other work as assigned by line manager. - Collaborate as the statistical subject matter expert with medical writers in the production of clinical reports, integrated summaries, and other documents. - Learn drug development regulatory requirements as they relate to statistics, including statistical contributions to marketing applications and CDISC SDTM and ADaM standards. - Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities. Qualifications - Knowledge of clinical trial design and analysis, including experience with complex statistical methods and models. - Experience in using SAS and R; knowledge of other statistical applications and programming languages a plus. - Knowledge of applicable regulatory requirements and guidelines, e.g., ICH Guidelines. - Able to work in a fast-paced, flexible, team-oriented environment. - Possess excellent interpersonal and communication skills (written and verbal). - Strong attention to detail with a view to bring studies to a quality conclusion. - Flexible, positive, creative thinker, good communicator. - Be able to work without close supervision with effective time management. Requirements - MS or MPH in statistics, mathematics, or a related discipline with a statistical focus and > 2 years of experience in pharmaceutical or biotechnology industry. - PhD in statistics, mathematics, or a related discipline with a statistical focus and < 2 years of experience in the pharmaceutical or biotechnology industry. - Knowledge of drug development regulations pertinent to statistical analysis. - Bayesian and adaptive design knowledge is preferred. - Proficient SAS & R programming skills, understanding of CDISC models and standards. - Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills. Benefits - Medical, dental and vision insurance. - 401k retirement savings plan. - Flexible paid vacation. - Discretionary annual cash bonus or incentive compensation (depending on the role). - Discretionary equity grants in accordance with Jazz’s Long Term Equity Incentive Plan.

Role Description Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning. - Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. - Write accurate, well-documented solutions that serve as ground truth. - Evaluate AI agent outputs and data science solutions. - Provide detailed written feedback that captures correctness, efficiency, and reasoning quality. - Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering. - Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows. - Demonstrable career progression. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical and technical decisions clearly. Requirements - Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus. Benefits - W-2 employment with Cincinnatus LLC. - Paid weekly. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .