Associate SAS Programmer (Junior)

SmartHire by SEEK; Kuala Lumpur; On-site; MYR 48,000 - 72,000; Full time

Job summary

SmartHire by SEEK in Kuala Lumpur seeks an Associate SAS Programmer (Junior) to start a career in data analysis and statistics within a financial consultancy setting. You will work on clinical data workflows, adhere to SDTM specifications, and contribute to data preparation and validation through SAS.

The role offers collaboration with international teams, training provided, and opportunities to develop skills in Pinnacle 21 and data standards while growing in a supportive environment.

Qualifications

• Bachelor's degree in a relevant field.
• Fluency in Mandarin and English (written and spoken).
• Experience with R and/or Python valued but training provided.
• Prior experience with clinical data programming, SDTM/CDISC standards, or Pinnacle 21 advantageous, though candidates with no prior experience are welcomed to apply.
• Internship experience in clinical research or pharmaceutical data is beneficial but not required.

Responsibilities

• Follow protocols: adhere to clinical trial protocols, SDTM specs, CDISC guidelines to convert raw data to SDTM and validate datasets.
• Develop and define SDTM data specs and CRF annotation.
• Perform data comparisons using SAS across data transfer batches and identify changes.
• Conduct manual checks on SDTM datasets to ensure accurate conversions.
• Correct deviations using Pinnacle 21 and other tools.
• Develop patient profiles and perform reruns.
• Work independently and as part of a team with statisticians.
• Perform other duties as directed by management.

Skills

Mandarin language

English language

Education

Bachelor's degree in Statistics, Biostatistics, Computer Science, Information Technology, Data Science, Mathematics, Pharmacy, Life Sciences, Biomedical Science, or related field

Tools

SAS

Pinnacle 21

R

Python

Job description

Our client

Our client is seeking an Associate SAS Programmer (Junior) to join their team!

Are you passionate about data analysis and programming? This role is a perfect fit for someone who is eager to kickstart their career in the Science & Technology field, specifically in Mathematics, Statistics & Information Sciences. With this role, you will have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and contribute to meaningful projects.

About Our Client

Our client is a local financial consultancy firm based in Kuala Lumpur, Malaysia, providing top-notch audit and tax services to clients.

What you'll be doing?

Follow protocols: Adhere to clinical trial protocols, CRF, SDTM specification, and CDISC guidelines to convert raw data to SDTM, validate SDTM datasets, maintain SAS programs, package deliverables, and document SDTM/Raw Data related issues.

Develop and define: Create SDTM data specs, define CRF annotation, etc.

Perform data comparison: Use SAS to perform data comparison for different data transfer batches and identify relevant changes if necessary.

Manual data check: Conduct manual data checks on SDTM datasets to ensure the successful conversion of raw datasets without mistakes.

Correct deviations: Use Pinnacle 21 and other tools to correct deviations.

Develop patient profile: Develop patient profile and perform rerun.

Work independently and in a team: Work independently, as well as being a team member working with other statistical analysts and statisticians.

Perform additional duties: Perform other duties as directed by management or senior personnel.

Who are they looking for?

Educational Background: Bachelor's degree in Statistics, Biostatistics, Computer Science, Information Technology, Data Science, Mathematics, Pharmacy, Life Sciences, Biomedical Science, or related field

Language Proficiency: Fluency in Mandarin (Chinese) and English, both written and spoken, as you'll be collaborating with international teams and working with global clinical data

Technical Skills: Experience with R and/or Python for statistical analysis is valued but not essential as training will be provided

Industry Experience: Prior experience with clinical data programming, SDTM/CDISC standards, or Pinnacle 21 tools is advantageous, though candidates with no prior experience are welcomed to apply

Research Exposure: Internship experience in clinical research or pharmaceutical data is beneficial but not required

Why should you consider this opportunity?

Our client offers an attractive remuneration package and other benefits, such as:

Opportunities for career growth and development

A dynamic and inclusive work environment

Working Schedule: Mon-Fri 9:00AM - 6:00PM

We welcome all applicants, regardless of their background or experience.

All information received will be kept strictly confidential and will be used only for employment-related purposes.