Sr Medical Scientist - Immunology (Rheumatology) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans. • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise. • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director. • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed. • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed. • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review. • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner. • Attends and present at Trusted Process meetings and may participate in internal and external audits. • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. • May manage limited number of direct reports. May participate or conduct interviews. At  Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $79,800.00 - $139,600.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

NOTE: Although this position is largely remote, California residence will be required. (no relocation offered) Job Summary: In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes. Essential Responsibilities: - Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. - Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. - Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making. - Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables. - Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation. - Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data. - Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics. - Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate. Minimum Qualifications: - Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language. - Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field. Additional Requirements: - Knowledge, Skills, and Abilities (KSAs): SAS Tools; SQL/SAS; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project. - Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others. - Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery. - Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action. - Participate in client meetings as required to present methodology and solutions through effective story telling techniques. - Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering. - Ensure smooth running of your data analytics projects and support junior team members with their projects. - Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards. - Provide advice and support to colleagues to resolve challenges and support code reviews. Job requirements: - Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field. - In addition to the degree, must have at least 4 years of experience in each of the following: - Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and - Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks. Within this, must have at least 2 years of experience in each of the following: - Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python; - Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making; - Programming experience on any standard data mining and modelling packages such as Python and R; and - Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

• Build dashboards that drive understanding of DeFi protocols and stablecoin activity on Sui for PMs, engineers, Partnerships, and the executive leadership team. • Run analyses on liquidity, trading volumes, lending utilization, holder behavior, and stablecoin velocity to identify high-impact opportunities for Mysten Labs and ecosystem partners. • Develop measurement frameworks for evaluating DeFi protocol health, wash trading detection, real vs. incentivized activity, and stablecoin adoption quality. • Collaborate with the data and engineering teams to set new standards for DeFi and stablecoin measurement across the industry. • Partner with BD and partnerships to measure the impact of integrations with major DeFi protocols, stablecoin issuers, and market makers. • Make data processing jobs run reliably in a lightweight, scrappy environment.