Junior Statistical SAS Programmer

Opis S.r.l.; Cagliari; In loco; EUR 30.000 - 40.000; Tempo pieno

Descrizione del lavoro

A leading international CRO seeks a Junior Statistical SAS Programmer in Cagliari. The role involves SAS programming to support clinical trials, working closely with Biostatistics and Data Management teams. Ideal candidates should have a background in statistics and at least one year of experience in a comparable setting, along with strong programming skills in SAS. Competitive salary and opportunities for professional growth are offered.

Servizi

Competitive salary

Bonuses and benefits

Opportunities for professional development

Competenze

• At least 1 year of experience in CRO, biotech, pharma, or research institutes.
• Knowledge of HA requirements related to pharmaceutical research.
• Familiarity with SAS and CDISC standards (SDTM, ADaM).

Mansioni

• Develop SAS programs for generating datasets, tables, figures, and listings.
• Validate ADaM datasets using Pinnacle 21.
• Collaborate with Data Management staff on clinical trials/projects.

Conoscenze

SAS programming

Knowledge of statistics

Team-oriented mindset

Planning and organizational skills

Descrizione del lavoro

The Junior Statistical SAS Programmer, under the supervision of the Direct Manager, is mainly involved in developing SAS programs for the generation of datasets, tables, figures, and listings for clinical studies (according to ICH E3), publications, or Health Authorities requests. Collaborates with Biostatistics and Data Management staff on clinical trials/projects.

Some of what you'll do :

• Develop SAS programs for generating datasets, tables, figures, and listings for clinical trials (according to ICH E3), publications, or Health Authorities requests.
• Use CDISC guidelines to generate SDTM / ADaM datasets.
• Write Programming Specifications of analysis datasets.
• Validate ADaM datasets using Pinnacle 21.
• Prepare, maintain, and archive CDISC documentation for ADaM (Define.xml and ADRG).
• Contribute to developing standard SAS macros and prepare validation documents.
• Liaise with Data Management team to develop SAS programs/macros/utilities to detect discrepancies in data.
• Handle external clinical data by developing SAS programs to import/reconcile data.
• Develop and validate SAS programs for identifying Non-Protocol Deviations.
• Collaborate with Biostatistics and Data Management staff on clinical trials/projects.
• Prepare, maintain, and archive SAS programming documentation.
• Assist in establishing and maintaining SOPs, forms, and templates related to SAS programming.
• Keep informed on new SAS developments relevant to clinical trial data management.
• Ensure KPIs and metrics for assigned studies are met.
• Complete required trainings on time.
• Maintain accurate daily entries in the TRACK system.
• Perform other assigned tasks.

What we're looking for :

• At least 1 year of experience in CRO, biotech, pharma, or research institutes in a similar role (preferred).
• Knowledge of HA requirements related to pharmaceutical research and SAS programming.
• Knowledge of statistics and their applications to clinical trials.
• Knowledge of SAS and CDISC standards (SDTM, ADaM).
• Planning and organizational skills.
• Team-oriented mindset.

What we offer :

We offer a competitive salary, bonuses, other benefits, and opportunities for professional development within an expanding international company.

Please read the candidate data processing notice on our website.

Who we are :

OPIS is an international CRO with 25 years of experience conducting clinical trials across phases I-IV, non-interventional, and medical device studies. We offer advanced IT solutions and innovative approaches to complex projects.

Our expertise covers all phases of drug-related trials, supporting sponsors beyond therapeutic areas, including investigations for medical and diagnostic devices. With global locations, we provide comprehensive clinical research services including scientific advice, medical writing, trial start-up, monitoring, data management, statistics, pharmacovigilance, medical monitoring, electronic data capture, quality assurance, and training.

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