Data Science Programmer Lead

hace 3 días

Ciudad de México, Ciudad de México Syneos Health Commercial Solutions A tiempo completo
About Syneos Health Commercial Solutions

We are a leading fully integrated biopharmaceutical solutions organization dedicated to accelerating customer success. Our Clinical Development model puts the customer and patient at the center of everything we do, simplifying and streamlining our work to make us easier to work with and for.

Whether you collaborate with us in a Functional Service Provider partnership or a Full-Service environment, you'll work alongside passionate problem solvers who innovate as a team to help our customers achieve their goals. We're agile and driven to accelerate the delivery of therapies, because we're passionate about changing lives.

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 programs.

We commit to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we dedicate ourselves to taking care of our people.

We continuously build 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 Description: Data Science Programmer Lead

We're seeking a skilled Data Science Programmer Lead to develop custom programming code using SAS or other software to generate summary tables, data listings, graphs, and derived datasets as specified in the statistical analysis plan and programming specifications.

This role will ensure that outputs meet quality standards and project requirements, validate programming, and work with other Programmers, Biostatisticians, and project team members to resolve discrepancies or any findings.

You will keep project team members informed of programming progress and issues requiring their attention, follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g., ICH), and maintain well-organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness.

This position involves managing scheduling and time constraints across multiple projects at a time, setting goals based on priorities from management, adapting to timeline or priority changes by reorganizing daily workload, developing specifications for datasets and outputs of any complexity according to statistical and sponsor requirements.

You will anticipate and address potential programming issues, prepare in advance for internal meetings, contribute ideas, demonstrate respect for opinions of others, conduct effective internal meetings, distribute relevant information in advance, and ensure minutes are promptly and accurately distributed.

This position requires displaying willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business, negotiating accurate time estimates for completion of study programming activities with internal team members and statistical programming management.

You will act as the lead statistical programmer, directing the programming activities of other programming personnel and monitoring progress on programming deliverables, reviewing project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design.

This role involves participating in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor, contributing to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, providing feedback or guiding new associates in process, transferring deliverables, and performing other work-related duties as assigned.

Minimal travel may be required.

Qualifications

We're looking for an individual with an undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience.

Candidates should have extensive programming experience, a passion for innovation, and a commitment to delivering high-quality results under pressure.

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