Senior Data Programmer CPQP Programming (PKPD / Pharmacometrics / NONMEM / SAS

Lifelancer; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Lifelancer is looking for a Senior Data Programmer to join their Clinical Pharmacology team in Bengaluru, Karnataka. This hybrid role involves preparing and programming data for Pharmacometrics analyses, requiring strong SAS/R skills and relevant experience. Candidates should have a Bachelor's degree, ideally a Master's, with 6 to 8 years of experience in data programming and clinical development. Join us to make a difference in drug development while ensuring compliance with regulations and standards.

Qualifications

• 6 to 8 years relevant experience required.
• Strong SAS/R programming skills.
• Expert knowledge of CDISC, SDTM, ADaM.

Responsibilities

• Prepare, program, validate, and diagnose data.
• Data cleaning, manipulation, transformation, and integration.
• Pool data from study datasets for analysis-ready data.

Skills

SAS programming

R programming

Proficient oral and written English

Data preparation practices

Programming languages (Python)

Education

Bachelor's degree (MS preferred)

Tools

NONMEM

Monolix

Job description

Job Title

Senior Data Programmer CPQP Programming (PKPD / Pharmacometrics / NONMEM / SAS)

Job Location

Bengaluru, Karnataka, India

Job Location Type

Hybrid

Job Contract Type

Full-time

Job Seniority Level

Mid-Senior level

Introduction

Are you interested in shaping the future of drug development? We are looking for a Senior Data Programmer CPQP Programming to join our Clinical Pharmacology and Quantitative Pharmacology Data Programming team. In this position, you will be responsible for preparing, programming, validating, and diagnosing data to support Pharmacometrics and Clinical Pharmacology analyses. Your work will span all phases of drug development at both the study and compound levels.

Accountabilities

As a Senior Data Programmer CPQP Programming, you will be responsible for data cleaning, manipulation, transformation, and integration at both the study and compound level. You will apply advanced data integration techniques that directly contribute to the value of each study and compound. Key responsibilities include pooling data from study and compound-level SDTM/ADaM datasets to prepare analysis-ready data for Pharmacometrics Modeling and Simulation (M&S) software, such as NONMEM. This work will play a critical role in informing study design, dose selection, dose justification and guiding go/no-go decisions. Additionally, you will contribute to internal initiatives that advance the Pharmacometrics discipline and ensure compliance with Good Clinical Practice (GCP) regulations.

Essential Skills/ Experience

• Proficient oral and written English communication skills
• Strong SAS/R programming skills
• Bachelor’s degree MS preferred with 6 to 8 years relevant experience required
• Expert knowledge of data preparation and programming practices (CDISC, SDTM, ADaM)
• Demonstrated data programming and clinical development expertise
• Good knowledge of global regulatory, compliance, processes, standards
• Varied programming languages (SAS, R, Python)
• Experience in early and late-stage drug development
• Quantitative/Scientific background (Statistics, Engineering, Biological Science)

Desirable Skills/ Experience

• Demonstrated expertise in data preparation and programming to support Pharmacometrics Modeling and Simulation (M&S) software (e.g. NONMEM, Monolix, R, Matlab)
• Knowledge in pharmacology, drug targets and core Therapy areas (e.g. Oncology, Respiratory, Renal Metabolism etc.)
• Relevant regulatory experience

Eligibility & EEO

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.