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Associate Scientist, SAS Programmer

Certara Inc.

United Kingdom

On-site

GBP 30,000 - GBP 45,000

Full time

Today
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Job summary

A leading biosimulation company in the United Kingdom seeks a Data Programmer to manage and prepare CDISC ADaM/SDTM data sets, interact with clients, and ensure quality control. The ideal candidate should possess a BSc, MSc, or equivalent in relevant fields and have experience with SAS software, data management, and report writing. Strong English communication skills and the ability to work collaboratively are essential. Join us to leverage data and contribute to the effective development of medicines.

Qualifications

  • 1-5 years’ experience in data management and analysis, report writing, and regulatory drug submissions.
  • Advanced user of SAS software (SAS9-Base).
  • Familiar in working with CDISC data formats.

Responsibilities

  • Manage and prepare CDISC ADaM/SDTM data sets.
  • Interact directly with clients on data transfers and specifications.
  • Conduct quality control and assurance activities on datasets.

Skills

SAS software (SAS9-Base)
Data management and analysis
Report writing
English communication skills

Education

BSc, MSc or equivalent in Pharmaceutical- or Life Sciences, Statistics/Mathematics/Bio-Informatics, or related fields

Tools

R software platform
Job description
Overview

About Certara

Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries.

Our goal is to enable the life sciences industry’s use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization.

Responsibilities

As data programmer you manage and prepare CDISC ADaM/SDTM data sets (ADPC, PP and ADPP) and data for state-of-the-art analysis, such as PopPK or drug exposure-response (PKPD). You interact directly with the client on topics around data transfers, dataset specifications and data queries. Following completion of the project deliverables, you will create an electronic submission package for future submission to regulatory agencies. In addition, you will conduct quality control and quality assurance activities on datasets and reports and may participate in company initiatives to improve efficiency of data management, analysis and reporting (IT, methodology, automation, quality).

As data programmer you will work closely in teams with other associates, (experts) modelers and drug development consultants supporting a wide variety of client projects (therapeutic areas, data types).

Qualifications
  • BSc, MSc or equivalent in Pharmaceutical- or Life Sciences, Statistics/Mathematics/Bio-Informatics, or related fields with 1-5 years’ experience in data management and analysis, report writing, and regulatory drug submissions.
  • Advanced user of SAS software (SAS9-Base) with proven experience in life sciences and clinical trials.
  • Familiar in working with CDISC data formats. Experience with the R software platform is a plus.
  • General knowledge of clinical drug development and demonstrated knowledge of pharmacokinetics and pharmacology.
  • Accuracy and sense of urgency and quality, timely delivery.
  • Ability to work on multiple collaborative projects, team player mentality.
  • Excellent verbal and written communications skills in English.
  • Eager to learn and develop.

Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.

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