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Salary
≈ $8.5k – $21k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Junior · 6+ years exp

First seen by Alion on Sep 29, 2026.

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People are the heart of your business, and Randstad Enterprise helps you put them first across the talent life cycle. Learn about our talent advisory, talent acquisition, talent development and talent transition services.
Backed by Storm Ventures

Job Title : Associate Manager, Statistical Programming Central Services


Location : Hyderabad, India (Hybrid)


Job Overview :


At our Fortune 500 biotech & pharmaceutical company, we use science and innovation to develop life-changing medicines for people with serious diseases.


We are seeking an Associate Manager, Statistical Programming - Central Services to join our Statistical Programming team, supporting integrated analysis, regulatory submissions, and clinical trial disclosure activities in a hybrid work model.


In this role, you will deliver high-quality programming solutions, support global regulatory submissions, and advance programming processes while collaborating with project programmers, biostatisticians, clinical transparency teams, and cross-functional partners.


This position offers the opportunity to contribute to a fast-growing, science-driven organization making a significant difference to patients worldwide.


Key Responsibilities :


- Data & Output Generation: Create integrated datasets, pooled analysis datasets, reports, and programming documentation in line with established standards and processes.


- Regulatory Submissions: Support the preparation and review of electronic data packages for regulatory submissions while ensuring compliance with global regulatory and industry standards.


- Trial Disclosure & Transparency: Coordinate with Clinical Transparency and Trial Disclosure teams, biostatisticians, and cross-functional partners to deliver datasets and outputs required for disclosure activities.


- Process & Tool Optimization: Provide technical expertise in developing tools, standard processes, and programming solutions that improve efficiency and compliance.


- Troubleshooting & Quality Assurance: Troubleshoot programming, validation, and submission-related issues and support the implementation of procedures across assigned areas.


- Inspection Readiness: Support inspection readiness activities and respond to programming-related inquiries during regulatory inspections.


- Cross-Functional Collaboration: Collaborate effectively across project programming teams and broader functions to achieve reporting and submission objectives.


Candidate Qualifications :


Education & Experience :


i. Education : MS (or BS) in Statistics, Computer Science, Mathematics, Engineering, Life Sciences, or a related quantitative discipline.


ii. Work Experience : 5+ years of clinical trial data programming experience with an MS degree, or 6+ years with a BS degree.


iii. Experience within the biotechnology, pharmaceutical, or health-related industry preferred.


iv. Leadership : Demonstrated project and people management experience.


Technical Skills & Industry Standards :


i. Programming Skills : Proficient SAS programming skills in a clinical data environment, including Base SAS, SAS/STAT, Macro, and Graph.


ii. CDISC Standards : Strong expertise in CDISC standards, including SDTM, ADaM, and Define-XML.


iii. Validation Tools : Proficiency with Pinnacle 21 (P21), including reviewing and troubleshooting validation reports and compliance issues.


iv. Regulatory Knowledge : Proven experience supporting regulatory submissions and maintaining compliance with global standards (FDA, EMA, PMDA).


v. Submission Formats : Familiarity with electronic Common Technical Document (eCTD) submission formats.


vi. Additional Technical Assets : Knowledge of open-source programming languages such as R and Python is highly desirable; SAS certification is a plus.


Professional & Interpersonal Attributes :


- Excellent communication, interpersonal, collaboration, problem-solving, and organizational skills.


- Strong attention to detail with a diligent, problem-solving attitude.


- Proven ability to manage multiple priorities and thrive in a fast-paced environment

Skills

Statistical Modeling, SAS, CDISC SAS, SDTM, Troubleshooting, XML

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