At a Glance
- Tasks: Develop and validate statistical programming using R and SAS for clinical trials.
- Company: Join Syneos Health, a leader in life sciences services, driving innovation in drug development.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with potential for career advancement and mentorship opportunities.
- Why this job: Make a real impact in healthcare by contributing to vital drug development projects.
- Qualifications: Experience in R programming and knowledge of CDISC standards required.
The predicted salary is between 50000 - 70000 £ per year.
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full‑Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
Job Responsibilities
- MUST BE LOCATED IN ONE OF THE FOLLOWING LOCATIONS WITH NO SPONSORSHIP NEEDS: Armenia, Hungary, Estonia, CR, Romania, Argentina, South Africa, Brazil, or Columbia
- R Programming experience required
- CDISC - SDTM/ADAM programming experience Required
- Uses R and SAS, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications.
- Works to ensure that outputs meet quality standards and project requirements.
- Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings.
- Keeps project team members informed of programming progress and issues requiring their attention.
- Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH).
- Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness.
- Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload.
- Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements.
- Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework.
- Conducts effective internal meetings (appropriate in format, frequency and attendance).
- Distributes relevant information in advance.
- Ensures minutes are promptly and accurately distributed.
- Follows action items through to completion, and maintains order and focus of meetings, working toward consensus.
- Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business.
- Accountable for on-time delivery across concurrent programming deliverables.
- Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed.
- Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions.
- Acts as the lead statistical programmer.
- Directs the programming activities of other programming personnel and monitors progress on programming deliverables.
- Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design.
- Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities.
- Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor.
- Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process.
- Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions.
- Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures.
- Contributes technical expertise to the development of programming tools and macros for standardization and efficiency.
- When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards.
- When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents (i.e. DEFINE.XML).
- When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards.
- Transfers deliverables.
- Performs other work-related duties as assigned.
- Minimal travel may be required.
Qualifications
- R programming Required
- Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience.
- Extensive programming experience in R or other required software, preferably in a clinical trial environment as demonstrated by the ability to lead multiple complex and/or global projects with teams of statistical programmers.
- Knowledge and experience in the use of CDISC Standards for regulatory agency requirements.
- Experience in submissions to a regulatory agency preferred.
- Experience in mentoring others in clinical trial process and CDISC Standards.
- Excellent written and verbal communication skills.
- Ability to read, write, speak and understand English.
Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
Strong ADAM safety and efficacy experience with SAS and R is required. DMC experience would be nice to have. 5-8 years of experience is ideal. Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity.
Impact and Contribution
Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Leading expert individual contributor who is viewed as a valuable resource by peers. Works to achieve organizational, functional, and/or business targets with measurable impact on department results. Manages or contributes to projects, programs, or processes that span multiple related areas. Comprehensive knowledge and skills in a professional discipline, understanding the impact of work on related areas.
R/SAS Statistical Programmer (hiring in Armenia, Hungary, Estonia, CR, Romania, Argentina, Braz[...] employer: Syneos Health
At Syneos Health®, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation among our Clinical Solutions team members. With a strong commitment to employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our staff are equipped to excel in their roles. Located in vibrant regions such as Armenia, Hungary, and South Africa, we offer a unique blend of meaningful work in the life sciences sector, competitive benefits, and a supportive environment that prioritises both personal and professional success.
StudySmarter Expert Advice🤫
We think this is how you could land R/SAS Statistical Programmer (hiring in Armenia, Hungary, Estonia, CR, Romania, Argentina, Braz[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at Syneos Health. You never know who might give you a heads-up about an opportunity or refer you directly!
✨Tip Number 2
Prepare for interviews by practising common questions related to R and SAS programming. Make sure you can talk confidently about your experience with CDISC standards and how you've tackled challenges in past projects.
✨Tip Number 3
Showcase your skills through a portfolio! If you have any projects or examples of your programming work, put them together in a neat format. This can really set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Syneos Health.
We think you need these skills to ace R/SAS Statistical Programmer (hiring in Armenia, Hungary, Estonia, CR, Romania, Argentina, Braz[...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the R/SAS Statistical Programmer role. Highlight your programming experience, especially in R and SAS, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don't forget to mention your experience with CDISC standards and any mentoring you've done.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex programming challenges in the past. We love seeing candidates who can think critically and adapt to changing priorities, so share those experiences with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Syneos Health
✨Know Your R and SAS Inside Out
Make sure you brush up on your R and SAS programming skills before the interview. Be prepared to discuss specific projects where you've used these languages, especially in a clinical trial context. Highlight any experience with CDISC standards, as this will show you're ready to hit the ground running.
✨Understand the Company and Its Needs
Do your homework on Syneos Health and their role in drug development. Familiarise yourself with their mission and values, and think about how your skills can contribute to their goals. This will help you tailor your answers and demonstrate that you're genuinely interested in the position.
✨Prepare for Technical Questions
Expect technical questions related to statistical programming and data analysis. Practice explaining your thought process when solving programming problems or debugging code. Being able to articulate your approach clearly will impress the interviewers and show your expertise.
✨Showcase Your Teamwork Skills
Since collaboration is key in this role, be ready to share examples of how you've worked effectively in teams. Discuss any mentoring experiences you've had, as well as how you've contributed to team success in previous projects. This will highlight your ability to work well with others and lead when necessary.