Senior Clinical Data Associate
Location
United States
Posted
26 days ago
Salary
$84.9K - $106.1K / year
Seniority
Senior
Job Description
Senior Clinical Data Associate
Sumitomo Pharma
Title: Senior Clinical Data Associate Location: Remote US Full time Job Description: This position reports to the Associate Director, Clinical Data Management, Oncology and is part of the Oncology Data Management organization, which supports Sumitomo Pharma America’s clinical development programs by ensuring accurate, complete, and compliant clinical trial data. The Senior Clinical Data Associate (Sr. CDA) works in close partnership with Lead/Clinical Data Managers (LDM/CDM) and supports multiple oncology studies with increased independence and accountability. The role contributes directly to data quality, timeline adherence, and inspection readiness while collaborating closely with Clinical Operations, Safety, Biostatistics, and external vendors. Job Duties and Responsibilities - Perform end to end clinical data review activities, including query generation, review, follow up, and closure, in accordance with study specific guidelines and timelines. - Conduct in house data review and provide detailed feedback to the Lead/Clinical Data Manager or CRO Data Management team. - Support eCRF design, system validation activities, and ongoing EDC updates in collaboration with external vendors. - Assist in the development, review, and maintenance of Data Management documentation, including: - Data Management Plans (DMPs) - CRF Completion Guidelines - Data Validation Specifications / edit checks - Data Cleaning and Reconciliation Plans - Perform reconciliation activities (e.g., SAE reconciliation), raise and track associated queries, and escalate potential issues to Safety and Data Management leadership. - Support interim analysis and database lock activities, including focused data cleaning and reconciliation deliverables. - Support management of Lab Normal Ranges for studies with Local Labs. - Provide data management status updates to internal study teams in the absence of the Lead/Clinical Data Manager. - Take ownership of defined data management tasks or act as the primary Data Management contact for selected projects or study components. - Train and mentor junior Clinical Data Associates on assigned tasks and Data Management procedures. - Ensure strict adherence to Data Management standards, SOPs, and applicable regulatory requirements. - Perform other assigned duties in support of departmental objectives. Key Core Competencies - Solid understanding of clinical data management processes and clinical trial conduct under ICH/GCP. - Hands‑on experience with EDC systems, query management, data cleaning, and reconciliation workflows. - Strong attention to detail and ability to manage competing priorities across multiple studies. - Ability to work independently with minimal supervision while knowing when to escalate issues. - Effective written and verbal communication skills. - Strong collaboration skills in a matrixed, cross‑functional environment. - Demonstrated ability to mentor junior team members and share best practices. Education and Experience - Bachelor’s degree in life sciences or a related field required. - Minimum 3 years of clinical data management experience in the pharmaceutical or biotech industry. - Oncology experience preferred. - Ability to travel. The base salary range for this role is $84,900.00 - $106,100.00 Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential, in accordance with applicable law. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Mental/Physical Requirements: Fast-paced environment handling multiple demands is involved. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Travel Requirements: Primarily remote role with periodic on-site meetings in office. Must be able to travel domestically and internationally as needed. Drug Screening Requirements Applicants for sales/field, manufacturing, or other designated roles will be required to submit to a pre-employment drug test. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer - Enterprise Data Frameworks, Java
Citizens Financial GroupFounded in 1828 as a community bank, Citizens Financial Group, also known as simply Citizens and Citizens Bank, is one of the oldest financial institutions in t
Title: Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus) Location: Westwood United States Job ID: 46414 Full/Part Time: Full Time Shift: 1ST Job Description: Description Senior Java Data Engineer Enterprise Data Frameworks Role Summary The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems. The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation. This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical. Key Responsibilities - Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads - Develop and support Java based backend services and APIs that orchestrate data workflows and framework components - Apply solid object oriented design principles to distributed data processing systems - Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments - Collaborate with architects and senior engineers on technical design and framework evolution - Partner with frontend and platform teams to integrate backend data services where applicable - Translate business and technical requirements into scalable, well structured engineering solutions - Participate in code reviews, contribute to shared standards, and mentor junior engineers - Ensure solutions align with data governance, security, and change management standards - Participate in Agile ceremonies and support continuous improvement of engineering practices Required Skills and Experience - 7+ years of experience as a software engineer or data engineer with strong emphasis on Java backend development - Strong hands on proficiency in Java, including object oriented design, debugging, and performance optimization - Experience building Spark applications in Java for large scale data ingestion and transformation - Practical experience with Apache Kafka and event driven data architectures - Experience developing Java based services using frameworks such as Spring Boot - Solid understanding of distributed systems concepts and data processing architectures - Familiarity with data lake technologies, columnar storage formats such as Parquet or Iceberg, and metadata driven frameworks - Experience using Git based workflows, CI CD pipelines, and modern development practices - Exposure to cloud environments, with preference for AWS based data platforms such as S3, EMR, Lambda, or API Gateway - Experience working in regulated or enterprise environments with strong data governance requirements Preferred Experience - Experience collaborating with UI or platform teams to integrate backend data services - Experience with containerization and orchestration tools such as Docker or Kubernetes - Exposure to additional JVM or scripting languages such as Scala or Python in a data context - Experience with developer productivity or automation tooling Education - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field Work Details Hours per Week 40 Location Hybrid, 4 days on site from a Citizens corporate office, 1 day remote Schedule Monday through Friday Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. Benefits We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. View Benefits Awards We've Received Glassdoor Best Place to Work in Consulting, Finance & Insurance Human Rights Campaign Corporate Equality Index 100 Award Newsweek America's Most Charitable Company The Banker's US Bank of the Year Dave Thomas Foundation's Best Adoption-Friendly Workplace Disability:IN Best Places to Work for Disability Inclusion
• Design, build, and maintain data pipelines and ETL processes using Databricks and Apache Spark. • Optimize data workflows for performance, scalability, and cost efficiency. • Implement data Lakehouse architecture and manage data ingestion from multiple sources. • Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads. • Ensure data quality, governance, and security across all data assets. • Monitor and troubleshoot Databricks clusters, jobs, and workflows. • Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems. • Document processes, standards, and best practices for data engineering.
Vietnamese Data Annotator
Careerflow.aiCommitments Required: 40 hours per week with overlap of 6 hours with PST. Engagement type: Contractor (no medical/paid leave). Duration of contract: 6 months with opportunity to extend; expected start date is 1st week of Jun-2026. Location: North America and LATAM.
Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Vietnamese). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. You will work on a variety of projects for our client that require native proficiency in your language. This could include but is not limited to: - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Benefits - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $2.45 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment Process - Please fill out this job application form - Sign up at https://data-labeling.careerflow.ai - Take the Indonesian Language Assessment: https://data-labeling.careerflow.ai/assessments/acc0c73b-613d-449a-8a8e-5ea525d01713 - You will be contracted by Careerflow on behalf of one of our clients.
Data Engineer – Interior Design
Sigma Software GroupWe support enterprises, product houses, and startups with custom software solutions development and IT consulting.
• Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing • Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture • Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes • Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability • Conduct architecture reviews and participate in system design discussions to provide technical input • Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning
