π Core Information
πΉ Job Title: Senior Data Acquisition Specialist
πΉ Company: Parexel
πΉ Location: Hyderabad, Telangana, India
πΉ Job Type: Full-time
πΉ Category: Pharmaceutical Manufacturing
πΉ Date Posted: July 9, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Leading the collection of non-CRF data during study setup, conduct, and closeout activities.
- Effectively communicating non-CRF data collection deliverables and status to the assigned study team and SMEs.
- Collaborating with multiple non-CRF vendors or data providers to set up data transfer agreements for timely and quality delivery.
- Influencing the study team to adhere to non-CRF guidance, processes, and negotiating contingency plans to mitigate delays of deliverables.
ASSUMPTION: This role requires a high level of autonomy and expertise in handling non-CRF activities and data management processes.
π Key Responsibilities
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Lead the collection of non-CRF data during study setup, conduct, and closeout activities, including IXRS and complex data models.
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Effectively communicate non-CRF data collection deliverables, status of work, and data issues to the assigned study team and SMEs.
β
Collaborate with multiple non-CRF vendors or data providers to set up data transfer agreements to ensure timely and quality delivery.
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Influence the study team to adhere to non-CRF guidance, processes, and negotiate contingency plans to mitigate delays of deliverables.
ASSUMPTION: The candidate should have a strong understanding of data management conventions, data standards, processes, and the drug development process.
π― Required Qualifications
Education: Bachelor's degree in a related field (e.g., Health Information Management, Data Science, or a related discipline).
Experience: Minimum of 5 years of experience in the data acquisition domain, with a focus on non-CRF activities.
Required Skills:
- Expertise in handling non-CRF activities and working autonomously on non-CRF data strategy.
- In-depth understanding of data management conventions, data standards, processes, and the drug development process.
- Experience with study conventions, including non-CRF collection data standards, processes, knowledge sharing, and best practices on assigned studies.
- Ability to influence study teams to adhere to non-CRF guidance, processes, and negotiate contingency plans to mitigate delays of deliverables.
Preferred Skills:
- Experience with specific data management software or tools.
- Fluency in multiple languages (e.g., English, Hindi, or other regional languages).
ASSUMPTION: The ideal candidate will have a proven track record in data acquisition and a strong understanding of the pharmaceutical industry.
π° Compensation & Benefits
Salary Range: INR 12,00,000 - 18,00,000 per annum (Estimated based on industry standards for a senior-level role in the pharmaceutical industry in Hyderabad, India)
Benefits:
- Health insurance
- Retirement benefits
- Employee assistance programs
- Training and development opportunities
Working Hours: Full-time, typically 40 hours per week, with flexibility for project demands.
ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
π Applicant Insights
π Company Context
Industry: Parexel is a leading global clinical research organization (CRO) providing insights-driven clinical and consulting solutions to the world's life sciences industry.
Company Size: Parexel has 20,795 employees globally, making it a large organization with significant resources and opportunities for career growth.
Founded: Parexel was founded in 1983 and has since grown to become a trusted partner for biopharmaceutical leaders, emerging innovators, and sites worldwide.
Company Description:
- Parexel offers a broad range of clinical and consulting services, including regulatory and product development consulting, early-phase clinical research, and late-phase clinical research.
- The company is committed to improving the world's health by providing high-quality, patient-centric clinical research solutions.
- Parexel's global presence and expertise enable it to work with clients across various therapeutic areas and geographies.
Company Specialties:
- Regulatory and product development consulting
- Early-phase clinical research
- Phase II-III clinical research
- Late-phase clinical research
- eClinical solutions
- Patient and site recruitment
- Medical device consulting
- Clinical research organization
- Pharmacovigilance
- Biotechnology and biotech
- Market access
Company Website: http://www.parexel.com
ASSUMPTION: Parexel's large size and global presence offer applicants a diverse range of opportunities and a robust infrastructure for career development.
π Role Analysis
Career Level: This role is at the senior specialist level, requiring a high degree of expertise and autonomy in data acquisition processes.
Reporting Structure: The Senior Data Acquisition Specialist will report directly to the Data Acquisition Manager or a similar role within the organization.
Work Arrangement: This role is on-site, with the primary work location in Hyderabad, Telangana, India. However, some flexibility may be available for remote work depending on the specific project requirements.
Growth Opportunities:
- Advancement to a management or leadership role within the data acquisition or clinical research organization.
- Expansion of responsibilities to include additional therapeutic areas or geographies.
- Development of expertise in related fields, such as data management, biostatistics, or clinical operations.
ASSUMPTION: The candidate's growth opportunities will depend on their performance, the organization's needs, and the availability of suitable positions.
π Location & Work Environment
Office Type: Parexel's Hyderabad office is a modern, collaborative workspace designed to facilitate productivity and innovation.
Office Location(s): Hyderabad, Telangana, India
Geographic Context:
- Hyderabad is the capital city of Telangana, a state in southern India, and is known for its rich history, culture, and technology industry.
- The city offers a mix of traditional and modern amenities, with a low cost of living compared to other major Indian cities.
- Hyderabad has a tropical wet and dry climate, with hot summers and mild winters.
Work Schedule: The work schedule is typically Monday to Friday, with flexibility for project demands and deadlines.
ASSUMPTION: The work environment at Parexel's Hyderabad office is dynamic and collaborative, with a focus on driving innovation and excellence in clinical research.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- In-depth technical interview
- Final round interview with hiring manager or panel
Key Assessment Areas:
- Technical expertise in data acquisition and management
- Problem-solving skills and ability to work autonomously
- Communication and collaboration skills
- Understanding of the pharmaceutical industry and drug development process
Application Tips:
- Tailor your resume to highlight relevant experience and skills for this role.
- Prepare for technical interview questions by reviewing data acquisition processes, data management standards, and drug development processes.
- Demonstrate your problem-solving skills and ability to work autonomously through examples from your previous experience.
- Show enthusiasm for the pharmaceutical industry and Parexel's mission to improve the world's health.
ATS Keywords: Data Acquisition, Non-CRF Activities, Data Management, Drug Development Process, Study Convention, Knowledge Sharing, Best Practices, Communication, Collaboration, Data Transfer Agreement, Timely Delivery, Quality Delivery, Influencing, Negotiation, Status Reporting, Problem Solving
ASSUMPTION: The interview process at Parexel is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit within the organization.
π οΈ Tools & Technologies
- Data management software (e.g., Oracle, SAS, or similar)
- Project management tools (e.g., Microsoft Project, Asana, or similar)
- Communication and collaboration tools (e.g., Microsoft Office Suite, Slack, or similar)
ASSUMPTION: The specific tools and technologies used in this role may vary depending on the project requirements and the organization's standards.
π Cultural Fit Considerations
Company Values:
- Patient-centricity
- Integrity
- Expertise
- Collaboration
- Innovation
Work Style:
- Collaborative and team-oriented
- Focused on driving excellence and innovation in clinical research
- Adaptable and responsive to changing project demands
Self-Assessment Questions:
- Do you share Parexel's commitment to improving the world's health through patient-centric clinical research?
- Are you comfortable working collaboratively in a dynamic and fast-paced environment?
- Do you have a strong work ethic and a commitment to driving excellence in your role?
ASSUMPTION: The ideal candidate for this role will be a strong cultural fit with Parexel's values and work style, demonstrating a commitment to patient-centricity, collaboration, and driving excellence in clinical research.
β οΈ Potential Challenges
- Managing multiple projects and deadlines simultaneously
- Working with diverse teams and stakeholders, including clients, vendors, and internal teams
- Adapting to changes in project scope, priorities, or timelines
- Navigating a large, global organization with a complex structure and processes
ASSUMPTION: The candidate should be comfortable working in a dynamic and fast-paced environment, with the ability to adapt to changes and manage multiple priorities effectively.
π Similar Roles Comparison
- Compared to other data acquisition roles, this position requires a higher level of autonomy and expertise in handling non-CRF activities.
- In the pharmaceutical industry, data acquisition specialists play a critical role in ensuring the quality and integrity of clinical trial data.
- Career progression in this field may involve moving into management or leadership roles, expanding responsibilities to include additional therapeutic areas or geographies, or developing expertise in related fields such as data management, biostatistics, or clinical operations.
ASSUMPTION: The candidate should have a strong understanding of the pharmaceutical industry and the drug development process to succeed in this role.
π Sample Projects
- Leading the data acquisition strategy for a global Phase III clinical trial in a complex therapeutic area
- Collaborating with multiple vendors to establish data transfer agreements and ensure timely and quality delivery of non-CRF data
- Developing and implementing data management processes and standards for a portfolio of early-phase clinical trials
ASSUMPTION: The specific projects and responsibilities in this role may vary depending on the organization's needs and the candidate's skills and experience.
β Key Questions to Ask During Interview
- Can you describe the typical workload and project demands for this role?
- How does this role collaborate with other teams and stakeholders within the organization?
- What opportunities are there for professional development and growth within the data acquisition or clinical research organization?
- How does Parexel support work-life balance for its employees?
- What is the company's approach to diversity, equity, and inclusion, and how does that manifest in the work environment?
ASSUMPTION: Asking thoughtful questions during the interview process demonstrates the candidate's interest in the role and commitment to understanding the organization's culture and work environment.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight your relevant experience and skills for this role, including your expertise in data acquisition, data management, and the drug development process.
- Prepare for technical interview questions by reviewing data acquisition processes, data management standards, and drug development processes.
- Demonstrate your problem-solving skills and ability to work autonomously through examples from your previous experience.
- Follow up with the hiring manager or HR representative within one week of submitting your application to confirm receipt and express your interest in the role.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.