Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Join a high-autonomy team dedicated to solving the most complex commercial challenges in Life Sciences. As a Data Scientist in our Business Consulting group, you will transform raw data into strategic insights that help our customers deliver life-saving medicines to patients faster and more efficiently. You will bridge the gap between sophisticated mathematical modeling and real-world business impact, ensuring every solution we build is scalable, accurate, and meaningful. What You'll Do - Solve Real-World Challenges: Use your technical expertise on 4–12 week analytics engagements that directly impact Brand Strategy, Patient Analytics, and Sales Operations for global pharmaceutical leaders - Translate Data to Value: Transform complex commercial events—such as pharmacy claims and prescriber trends—into clear, actionable narratives that help customers improve patient access to therapy - Architect Scalable Solutions: Design and implement structured data models and reusable code patterns that ensure our insights are consistent, reliable, and platform-ready - Consult with Purpose: Partner closely with business leaders to navigate ambiguous requirements, ensuring our technical execution is always grounded in the customer's "bottom line" goals - Drive Team Velocity: Identify opportunities to automate manual workflows and standardize data processing to accelerate the delivery of high-signal insights to the market Requirements - PhD in a STEM field plus 1+ years of experience in a Data Science role. Alternatively, a Masters degree in a STEM field plus 3 years experience - Data Intuition & Real-World Mapping: Exceptional ability to understand how raw data connects to real-world events. You must be able to strategically clean and structure complex datasets to preserve the "business signal" for analysis - Mathematical Foundation: A strong intuition for grounding problem-solving in mathematical principles and a deep curiosity for the "why" behind data trends - Strong Programming Skills: Proficiency in Python and SQL with the ability to independently develop and troubleshoot data processing pipelines - Industry Context: Experience in the Life Sciences industry is essential, with a focus on understanding the commercial landscape (Patient, Brand, or Sales Operations) - Communication with Impact: The ability to distill complex technical findings into strategic stories that drive decision-making for non-technical business leaders - Analytical Problem-Solving: A proven track record of defining a clear technical blueprint and business objective before initiating execution Nice to Have - Consulting Experience: Previous experience in a client-facing role, managing project timelines and stakeholder expectations - Workflow Orchestration: Familiarity with Airflow or similar tools for automating and scheduling data workflows - Cloud Infrastructure: Experience working within an AWS ecosystem for data storage and processing - Specialized Data Knowledge: Exposure to longitudinal patient data, specialty pharmacy claims, or payer data schemas Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $95,000 - $140,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-RemoteUS #LI-Associate Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

Role Description Premier Research is looking for a Medical Scientist I to join our Medical Affairs team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. Your ideas influence the way we work, and your voice matters here. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here. What you'll be doing: - Is responsible for supporting the setup, documentation and communication of project specific medical monitoring requirements for assigned projects. - Supports medical monitors under medical guidance in the conduct of studies. - Reviews medical data including labs, patient profiles, CRF data and eligibility/enrollment reviews. - Ensures compliance with and adherence to all internationally recognized standards (e.g. ICH GCP, ICH E2A, ISO14155, etc.), national regulations and SOPs applicable for specific projects. - Participates in the development and review of Medical Monitoring Plans. - Tracks study progress, proactively resolves issues, and makes recommendations to project team/clients. - Works closely with Medical Directors/Investigative Sites/CRAs to document and assist with resolution of clinical issues, e.g. continuing eligibility queries. - Collaborates with other departments as needed (e.g. with data management, clinical operations, etc.). - Supports training for new employees and participates in their onboarding. - Reviews and QCs documents and work of other associates, as needed. - Participates in corporate initiatives and actions that ensure the continued success of the company. Qualifications - Graduate in medical or science fields (e.g. medicine, nursing, pharmacy, life sciences). - Preferred postgraduate degree (MD, MSc, MPhil or Ph. D, PA) in a clinical, biological, scientific or health-related field. - 0-2 years in a relevant pharma or medical related field or role, e.g. CRA, Pharmacy etc. - Knowledge of web-based communication tools for conferences. - Fluent verbal and written English as well as the local language(s). - Ability to multi-task and work effectively in a fast-paced environment with changing priorities. - Strong verbal and written communication and negotiation skills. - Excellent organizational and time-management skills, able to prioritize workload to meet deadlines. - Is accountable, dependable and demonstrates strong commitment. Company Description Premier Research is proud to be an equal opportunity employer that is compliant with all federal guidelines. All qualified applicants will receive equitable consideration without regard to race, color, religion, sexual orientation, gender identity, national origin, disability or veteran status.

• Own the end-to-end tracking architecture across all client accounts: Google Tag Manager, GA4, CDPs (Segment, RudderStack, Teleaum, etc.), Meta Pixel + CAPI, Google Ads Enhanced Conversions, TikTok Events API, and any other ad network data pipelines — and be well versed enough in these systems to support clients hands-on with implementation • Define tagging standards, naming conventions, and data layer specifications for new client onboarding • Review and sign off on all pixel/tag implementations done by the junior tracking specialist before anything goes live • Lead tracking QA processes: diagnose misfires, validate conversion events, and ensure data integrity across environments (dev, staging, production) • Own server-side tracking setups and consent-mode configurations as privacy requirements evolve • Build measurement plans for every client: define the KPIs that actually matter, the attribution approach best suited to their funnel, and the testing roadmap for the next 6–12 months • Design and run incrementality tests — geo-based holdouts, PSA holdout tests, conversion lift studies — and translate results into media budget recommendations • Interpret and pressure-test platform-reported metrics (Meta Ads Manager, Google Ads, etc.); challenge results that don't hold up to scrutiny • Lead or collaborate on Marketing Mix Modeling (MMM) engagements — either scoping vendor-run models or building lightweight versions in-house • Own the cross-channel attribution model: evaluate last-click vs. data-driven vs. time-decay approaches per client context and document your rationale • Build and maintain executive-level dashboards (Looker Studio, Looker, Power BI, or equivalent) that go beyond vanity metrics to show incremental business impact • Establish a regular reporting cadence: weekly performance pulse, monthly deep-dives, and quarterly measurement reviews with clients • Write clear, opinionated insight narratives — not just charts — that connect data to the decisions clients need to make • Manage one junior Analytics/Tracking Specialist: set their priorities, review their work, give them a clear growth path • Build the analytics practice playbook: onboarding templates, tracking specs, measurement plan frameworks, experiment design guides • Stay current on the ad platform measurement landscape — platform pixel changes, consent/privacy shifts, new incrementality products from Meta, Google, TikTok — and update internal practices accordingly.

Role Description Identifies business trends and problems through complex data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops, and implements the most valuable business solutions for the organization. - Leverage skills in handling very large datasets to perform exploratory analysis, construct relevant variables, and perform sample design. - Build and improve upon already built, complex predictive models from multiple sources to substantially improve business operations. - Automate feedback loops for algorithms/models in production and create repeatable processes and scalable data products. - Act as technical expert to recommend and develop innovative analytic solutions. - Communicate and present results to internal audiences, prepare presentations and documentation of models and analytical solutions. - Influence functional teams and develop best practices across the organization. - Other duties as assigned. Qualifications - Bachelor’s degree or equivalent in a related quantitative field such as Mathematics, Statistics or Computer Science. - Master’s or PhD degree preferred. - 5-7 years of related work experience building predictive and descriptive statistical models. - Extensive experience with large datasets. - Knowledge and experience with diverse statistical and data mining methods (e.g. - GLM/Regression, Trees, Clustering, PCA, SVM, Time Series analysis etc.). - Demonstrated proficiency with packages/languages such as SAS, R, or Python. - Understanding of RDBs and interactive SQL programming skills. - Aptitude for picking up new technologies. - Excellent written and verbal communication skills. - Excellent interpersonal, relationship-building, and teamwork skills. - Self-motivated; self-starter. - Ability to manage multiple tasks, respond quickly to emergent problems, and focus both on long-range projects and immediate tasks. - Proficient in Microsoft Word, Excel and PowerPoint. Requirements - Pay Range: $129,300.00 - $172,300.00 Annually. - This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location. Benefits - Comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave. - Employee stock purchase plan.