
Senior / Principal Stat Programmer(SAS/ R, SQL)
7 days ago
Description
Senior / Principal Stat Programmer(SAS/ R, SQL)
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.
Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.
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 accelerate the delivery of therapies, because we are passionate to change lives.
Discover what our 29,000 employees, across 110 countries already know:
WORK HERE MATTERS EVERYWHERE
Why Syneos Health
- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
- We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we're able to create a place where everyone feels like they belong.
Job Responsibilities
Necessary Skills
- Require 5+ years' experience in Advance SAS/ R programming, SQL.
- Mu have experience of R programming, R Package development, good knowledge of SQL
- Hands on Python knowledge will be value added along with R programming.
- Good to have understanding of TIBCO Spotfire visualization tool or equivalent and creating calculated columns, markings, filtering, and document properties.
- Must have understanding or hands on experience of Clinical domain, drug development process (Phase I through IV), Clinical Data Management.
- Having study lead experience and capable of managing multiple studies.
- Good written and verbal communications skills
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
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
Roles within the Statistical Programming job family at the P23 level involve developing programs and providing statistical programming support for statisticians or for client or business use. This includes sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs. The role also involves developing codes to create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions to increase productivity. As a leading expert individual contributor, the P23 level professional is viewed as a valuable resource by peers and works to achieve organizational, functional, and business targets with measurable impact on department results.Impact and ContributionRoles within the Statistical Programming job family at the P23 level manage or contribute to projects, programs, or processes that span multiple related areas. They have comprehensive knowledge and skills in their professional discipline and understand the impact of their work on related areas. Their contributions are crucial in designing, implementing, and delivering processes, programs, and policies. They may direct the work of lower-level professionals or manage processes and programs, spending the majority of their time contributing to the design, implementation, or delivery of processes, programs, and policies using knowledge and skills typically acquired through advanced education.Core Focus
•Developing programs and providing statistical programming support for statisticians or for client or business use
•Sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs
•Developing codes to create analysis datasets, tables, and figures
•Evaluating programming processes and suggesting revisions to increase productivity
•Managing or contributing to projects, programs, or processes that span multiple related areas
•Directing the work of lower-level professionals or managing processes and programs
•Contributing to the design, implementation, or delivery of processes, programs, and policies using advanced knowledge and skills
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