Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Das ist der Job

This position is very heavy programming and data review for RW data analyses.

Darum lohnt es sich

Performs validation programming and works with other programmers, biostatisticians, epidemiologists and other project team members to resolve discrepancies or findings. Keeps project team members informed of programming progress and issues requiring their attention.

Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted.

Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities.

Benefits The benefits for this position may include a company car or car allowance, health benefits to include medical, dental and vision, company match 401k, eligibility to participate in employee stock purchase plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.

Sr RW Programmer / Sr Data Scientist / Analyst - Real World Data (US and UK only) Job Responsibilities Open to US and UK only – No sponsorship available for this role. Experience with commercial databases such as Optum, HealthVerity or PharmMetrics is important. Support for protocol and SAP review in support of the epidemiologist is critical.

ICD knowledge and experience will also be important. Data experience: eHR, Claims Data: Optum, HealthVerity, or IQVIA PharmMetrics. Nice to have: MarketScan, VA data, Medicaid, Medicare. Programming language: SAS or R; must have SQL experience. Programmatic cohort derivation experience. Index date definition.

Modeling/programming: GLM, Logistic, Cox, Propensity Score Matching, Incidence computation. Prepare data specs and develop a strong understanding of study protocols. Review data and program outputs against protocol requirements, flag issues, and escalating as appropriate. Ability to address messy data – identify issues and possible solutions.

Understand follow‑up period and impact. Use of ICD or other related clinical terminology. OMOP CDM understanding – transform healthcare data into a common format. Use of AI/ML for LLM and workflow and scaffolding is ideal. Nice to have: AI/ML modeling, Github experience and versioning.

Uses R, SAS, Python or other software to develop custom programming code to generate summary tables, data listings, graphs and derived RW datasets as specified in the statistical analysis plan and programming specifications. Development of programming specifications. Works to ensure that outputs meet quality standards and project requirements.

Follows 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 and 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. Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others.

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. Reviews and provides input on project documentation such as Statistical Analysis Plan, mock shells, programming specifications, and RW database structure.

Participates in sponsor meetings, kickoff meetings, etc., 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. Transfers deliverables.

Performs other work‑related duties as assigned. Minimal travel may be required. Qualifications Undergraduate or master’s degree, preferably in a scientific or statistical discipline such as biostatistics, mathematics or epidemiology. Extensive programming experience in SAS, R, Python or other required software, in a RW environment.

Excellent written and verbal communication skills. Ability to read, write, speak and understand English. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work.

Syneos complies with all applicable federal, state and municipal paid sick time requirements.

Salary $80,600.00 – $145,000.00 Equal Opportunity Employment 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.

The Company is committed to compliance with the Equal Credit Opportunity Act, all applicable U.S. laws, the Federal Equal Employment Opportunity laws, and the federal laws governing equal employment opportunity. The Company is committed to compliance with the EU Equality Directive, in relation to the recruitment and employment of its employees.

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion, 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. #J-18808-Ljbffr