Principal SAS Programmer

MAC Biometrics Programming brings together some of the most talented minds to engage in advanced data analytics, principles of data science, and developing new computational tools to support innovative research and develop novel therapies. We serve several therapeutic areas, focusing on psychiatric disorders including dementia, depression and anxiety, offering unique growth opportunities and exciting career paths for a wide range of experience levels.

The Principal SAS Programmer role at MAC reports into the Head of Statistical Programming. Principal SAS Programmers are expected to possess strong technical and excellent communication skills. They are able to identify programming and/or process related gaps and problems and provide logical and analytical solutions to address these. They are experts in their TA-specific domains and are able to provide technical and domain area specific training to their colleagues.

They represent the programming team, their study, or therapeutic area cross-functionally and act as the key point of contact for programming related queries. They are expected to demonstrate strong technical and/or study lead programmer skills, engage with external organisations, and successfully work with global teams.

Principal SAS Programmers act as the study lead programmer and offer significant contributions towards the planning and execution of multiple programming activities for MAC clinical trials. They are accountable for creating, verifying, and documenting analyses of clinical data while adhering to study protocols, analysis plans and MAC / industry standards for themselves and their team.

Principal SAS Programmers are expected to participate in or lead capabilities and non-project initiatives, present at internal forums, and learn new programming languages. They interact with non-programming team members and represent their study function during core study meetings.

REQUIREMENTS

Essential:

• A BSc, MSc or equivalent in Mathematics, Statistics, Computer Science, or related subject
• Statistical programming and some level of lead experience in clinical R&D is required.
• Advanced proficiency in SAS and (desirable) experience of one or more programming languages, such as R and Python
• Advanced macro development and debugging, and executing complex programming activities skills.
• Experience using standard macro development process.
• Experience in CDISC standards and its application
• Good Practice (GxP), and International Council for Harmonization (ICH) requirements experience
• Experience with Microsoft Office software (MS Word, Excel, PowerPoint, Outlook)
• Experience with submission activities and related documentation

Desirable:

• MSc or PhD (or equivalent) in Mathematics, Statistics, Computer Science or related subject preferred
• Solid understanding of the pharmaceutical regulatory and publishing processes (e.g., 21 CFR Part 11)
• Advanced expertise in end-to-end clinical trial process and application of key clinical documents
• Expertise in ePRO and eCOA area specific requirements
• Very effective written, and verbal communication skills
• Experience with mentoring and supervising junior programmers on technical tools and concepts.
• Experience with outsourcing of statistical programming work in the clinical trials setting (e.g., working with CROs, academic institutions, etc.)
• Expertise in representing programming function in cross-functional meetings, initiatives, and working group.
• Strong interest in or experience contributing to external organizations (e.g., PHUSE, PharmaSUG, etc.)
• Experience with working within a global team and managing expectations across different time zones.

BENEFITS

Health Insurance

Free onsite parking

25 days annual leave (increasing in increments to 30 days after 6 years' service)

Your birthday off work

MAC Clinical Research invites applications from highly motivated candidates, with a desire to fulfil their full potential. You will be working with an organisation that sees you as an investment and is keen for you to achieve your career aspirations.

Please email [email protected] should you require any special arrangements or reasonable adjustments to be made throughout this selection process. This will enable us to accommodate your request as necessary.