Senior Analyst, Data Acquisition
GSK is hiring a Senior Analyst, Data Acquisition for a remote role open to applicants in India. Level rates it ; you can apply on Level.
AI in this role
Design and validate clinical data acquisition solutions, review workflows, and reporting assets for clinical studies.
Position Summary
You will design, build and validate clinical data acquisition solutions. You will work closely with clinical operations, statistics, IT and external vendors to ensure high quality and compliant data for studies. We value clear communication, technical curiosity and continuous improvement. This role offers growth, real impact and the chance to help unite science, technology and talent to get ahead of disease together.
Key Responsibilities
- Design, develop, validate, and maintain complex clinical data review solutions and reporting assets.
- Lead implementation of CDB Checks, Listings, Reconciliations, Medical/Safety Reviews, PD Reviews, and CDMS reporting solutions.
- Translate protocol and business requirements into scalable, automated review workflows and visualizations.
- Provide technical oversight for solution architecture, coding standards, validation practices, and quality compliance.
- Develop reusable libraries, frameworks, and automation capabilities to improve efficiency and standardization.
- Support complex data reconciliations across EDC, laboratory, safety, imaging, and other external data sources.
- Mentor and provide technical guidance to programmers and study teams.
- Partner with Data Management and cross-functional stakeholders to deliver study milestones and inspection-ready outputs.
- Drive continuous improvement, innovation, and adoption of emerging technologies within clinical data review programming.
Basic Qualification
- Advanced experience in Clinical Data Management, Clinical Data Review Programming, or related clinical systems roles.
- Strong expertise in Veeva CDB, Veeva CDMS Reports, Domino, R, Python, SQL, and clinical data standards.
- Deep understanding of clinical trial processes, data review methodologies, reconciliation processes, and regulatory requirements.
- Demonstrated ability to lead complex technical initiatives and influence cross-functional stakeholders.
Basic Education/Experience
- Bachelor’s degree in engineering, Life Sciences, Computer Sciences, Mathematics and Physics or equivalent.
- 4+ years of data acquisition experience or related job experience in Clinical Research or Information Systems and/or relevant scientific experience.
Skills
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
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GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.
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How we rate this
Senior Analyst, Data Acquisition at GSK rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where clinical data was part of your work. What did you do?
- Tell me about a project where data acquisition was part of your work. What did you do?
- Tell me about a project where data management was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Clinical Data, Data Acquisition, Data Management, Automation, and Data Visualization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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