[Hiring] Real World Evidence (RWE) Programmer @Quanticate

Role Description

Unlock Your Future in Life Sciences Programming at Quanticate! Are you a skilled SAS Programmer with a strong grasp of SQL? Ready to leverage your technical expertise in impactful Real World Evidence (RWE) life science projects rather than finance or other industries? Join Quanticate, one of the world's leading data-focused CROs, where you’ll contribute to some of the most advanced clinical programs across the globe.

• Be a part of projects that contribute to the advancement of therapies that genuinely make a difference in patients' lives.
• Work with customers ranging from top global pharmaceutical companies to small biotech firms.
• Advocate for career development by providing membership to professional societies and encouraging involvement in activities and committees.

Together we can help you build the career you want – developing your skills, working on challenging problems, to ultimately develop clinical therapies that matter.

• Program tables, figures, listings, and derived datasets according to the request description.
• Perform quality control checks and complete quality control documentation for programming plans, specifications, outputs/derived datasets.
• Perform other reasonable programming tasks as requested by management.
• Follow appropriate Project Management procedures.
• Communicate effectively with the OR team.
• Provide input to improvements to processes, procedures, and standards.
• Support the training and development of other programmers.

Qualifications

• Further development of knowledge of SAS and advanced SQL.
• Good programming practices and numerous Real World Data (RWD) databases.
• Ensure high levels of customer care are provided.
• Review available resources to find required information.
• Use and manipulate data stored in SQL database.
• Ability to understand and modify SAS macros.
• Use longitudinal databases (Administrative medical and pharmacy claims databases, Electronic Medical Records).
• Technical experience in handling large datasets.
• Basic understanding of statistical models used in Outcomes Research (OR).
• Ability to ask questions effectively.
• Good knowledge of statistical software packages (particularly SAS).
• Good knowledge of SQL.
• Qualified to degree level or equivalent, preferably in a numerate discipline.
• Should have PC skills.
• Good organisational skills, communication skills (oral and written).
• Good analytical skills and attention to detail.