Role Description The Systematic Review Scientist will lead and support high-quality evidence synthesis projects, with a strong emphasis on meta-analyses and network meta-analyses. This role requires deep methodological expertise combined with a forward-looking mindset. The successful candidate will be comfortable leveraging artificial intelligence (AI) and automation tools to increase efficiency, consistency, and scalability across the evidence synthesis lifecycle. Primary Position Responsibilities: - Design, conduct, and report systematic reviews in accordance with methodological best practices (e.g., PRISMA, Cochrane, GRADE). - Perform pairwise meta-analyses and network meta-analyses, including model selection, assessment of heterogeneity, inconsistency, and sensitivity analyses. - Develop and execute reproducible workflows for literature searching, screening, data extraction, and risk-of-bias assessment. - Lead or contribute to protocol development, statistical analysis plans, and final reports/manuscripts. - Collaborate with clinical experts, statisticians, and stakeholders to ensure methodological rigor and relevance. - Apply AI-enabled tools (e.g., machine-learning–assisted screening, data extraction, LLM-based summarization) to streamline review processes while maintaining quality and transparency. - Evaluate, validate, and refine AI workflows to ensure appropriate use, auditability, and methodological integrity. - Stay current with advances in evidence synthesis methods, statistical approaches, and AI applications. - Mentor less experienced staff and contribute to internal methodological standards and guidance, as appropriate. - Provide support, project management, subject-matter expertise and liaison services to assigned Committees and/or Councils. - Ability to perform work in alignment with ASA core values: Dedication, Collaboration, Commitment to Excellence, Continuous Improvement. Qualifications - Bachelor’s degree in related field required. Master’s degree in Public Health, Epidemiology, Statistics, Health Economics, or related discipline preferred. - Minimum 5 years of experience with health care research. - Demonstrated experience conducting systematic reviews and meta-analyses including hands-on experience with network meta-analysis. Published peer-reviewed systematic reviews and/or network meta-analysis is preferred. - Strong understanding of evidence synthesis standards, risk-of-bias tools, and reporting guidelines. - Experienced user of Microsoft Office products: Word, Excel, and PowerPoint. - Proficiency with statistical software used for meta-analysis (i.e., R, Stata, SAS, or equivalent). - Experience using reference management and systematic review platforms (i.e., EndNote, Covidence, DistillerSR, Rayyan, or similar). - Familiarity with reproducible research practices (i.e., version control, reproducible code) is preferred. - Experience working with guideline development, HTA, or regulatory contexts is preferred. - Practical experience using AI or machine-learning-enabled tools to support systematic review tasks (i.e., screening, data extraction, summarization, quality checks) is preferred. - Ability to design efficient, scalable workflows that integrate AI while preserving methodological rigor and transparency is preferred. Benefits - Quality medical, dental, and vision insurance at a reasonable cost. - 401K match. - Free fitness center. - Breastmilk shipping. - CALM subscription. - Volunteer committees. - Employee resource groups. - More detailed benefits information can be found at: ASA Benefits . Company Description The American Society of Anesthesiologists (ASA) team provides education, resources, and advocacy to help our members improve the experience and safety of patients in their care. ASA has been named one of the Best and Brightest Companies to Work For in Chicago and the Nation® for the past ten years. ASA offers flexible hybrid work arrangements, a "dress for your day" mindset, generous time off, plus professional development and educational benefits.

• Design, deploy, and scale data science solutions across the organization. • Support best practices across the team. • Work closely with Digital and Marketing teams, converting ideas into experiments and models into shipped product features. • Lead technical discussions and drive engineering best practices across the team.

Role Description Join us in redefining what it means to work for a CRO. When you work at Rho, it’s more than just a job—you become part of the Rho Factor. We’re a proud bunch of science nerds who love tackling big challenges together. Here, curiosity is encouraged, fresh approaches are welcome, and collaboration is at the heart of everything we do. As our next Clinical Data Manager, you will have the opportunity to work closely with the multidisciplinary project team across the life cycle of the project to ensure data management is thoughtfully planned and delivered in a consistent, timely, and high quality manner. You will be a key contributor to project success through: - Development and utilization of innovative tools to help automate manual tasks - Identifying data trends in a timely fashion - Constant collaboration with project peers, particularly biostatisticians, statistical programmers, and clinical operations personnel You will also independently perform and oversee completion of data management tasks to ensure clinical database design supports project outcomes, proactively clean clinical trial data and mitigate risks, effectively communicate data-related decisions to sponsors, and ensure data management activities follow all applicable standards and project specific procedures. What you'll be doing: - Study Design & Standards - Independently designs CRFs and standard documentation - Reviews protocols and identifies basic study plan issues - Study Build & Start-Up - Assists with data import setup and standard report development - Supports EDC design/testing, creates edit checks, and performs UAT - Drafts templates and guidelines with minimal supervision - Data Review, Cleaning & Reconciliation - Leads data review planning and execution - Manages query workflows and SAE reconciliation - Identifies trends and prepares review meeting materials - Data Acquisition & Integrations - Supports integration setup/testing and manages lab ranges - Handles standard vendor data and flags discrepancies - Reporting, Lock & Closeout - Executes lock checklist and data verification - Reviews PDF packages and supports TMF readiness - Quality, Risk & Compliance - Improves processes, updates documents, and supports audits - Applies RBQM and QbD principles - Project & Stakeholder Management - Manages tasks across multiple projects and timelines - Prepares reports, tracks KPIs, and coordinates cross-functional teams - Handles vendor interactions and supports change initiatives - Leadership & Growth - Onboards and mentors new team members - Provides informal leadership and peer support - General Expectations - Attends in-person meetings as required - Demonstrates Rho’s Core Values and delivers excellent customer service - Communicates professionally and promptly - Maintains confidentiality and takes initiative - Performs other duties as assigned Qualifications - BA/BS degree along with at least 2-5 years of clinical data management experience - Experience working in clinical trials databases in a commercially available EDC system (e.g. Rave, Medrio, RedCap, Veeva); Medidata Rave build certification a plus - Working knowledge of an electronic data capture (EDC) system and CRF design principles - Demonstrated knowledge of data review and reconciliation process - Demonstrates effective analytical and problem-solving skills - Able to independently utilize available resources, including following Standard Operations Procedures (SOPs) and templates - Able to communicate clearly and effectively both written and verbal - Strong interpersonal skills and ability to work effectively and collaboratively within a team environment - Self-starter, able to work independently and have the ability to coordinate multiple activities simultaneously in support of various projects - Demonstrates attention to detail and commitment to producing high quality work - Proficiency in MS Word, Excel, PowerPoint Benefits - Comprehensive benefits package for all benefit-eligible employees, which includes medical, vision, dental, HSA, FSA, EAP, life & disability insurance and 401(k) - Paid time off, holidays, parental leave, and bereavement leave - Encouragement of work-life balance Company Description As required by pay transparency laws in some states, Rho provides the range of starting compensation (annual salary or hourly rate) it reasonably expects to pay for a given role. Actual compensation is influenced by a wide array of factors including but not limited to role responsibilities and location as well as candidate skill set and level of experience. The range of starting pay for this role is $70,000 to $110,000 per year. EOE. Veterans/Disabled

Title: Data Scientist II, Experimentation Location: Remote, US Job Description: About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are seeking a data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform. The successful candidate will play a key role in improving our experiment processes at scale, leveraging their expertise to drive innovation and help make sure that Pinterest users are receiving the most thoroughly data-driven features. With thousands of experiments running concurrently, the magnitude of our operations presents a significant opportunity for impact. If you possess a strategic mindset, proven experience in experimental design and analysis, and a passion for driving results, we invite you to join us in shaping the future of experimentation. What you’ll do:; - Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities. - Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent - Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape. - Consult with product data science teams to debug, design or improve their experiments and experimentation process. What we’re looking for: - PhD in a relevant field (stats, applied math, biostatistics, etc…) OR 2+ years of hands-on experience working as a data scientist or applied scientist. - Experience working directly on experimentation problems and an awareness of state of the art methodologies. - The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members. - Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment. - Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows. In-Office Requirement Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. - This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: - This position is not eligible for relocation assistance. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only $114,297—$235,319 USD