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

Syneos Health/ inVentiv Health Commercial LLC; Town of Florida (NY); On-site; USD 80,600 - 145,000; Full time

Benefits offered by this job

Company car or car allowance

Medical, dental, and vision health benefits

Company match 401(k)

Employee Stock Purchase Plan eligibility

Commission or bonus based on performance

Flexible paid time off (PTO) and sick time

Job summary

Syneos Health/ inVentiv Health Commercial LLC is seeking a skilled programming professional based in New York to lead data analyses for real-world data applications. The role focuses on programming with tools like SAS or R, and supporting statistical programming for clients.

Candidates should possess a degree in biostatistics or related fields, with extensive experience in data handling and exceptional communication skills. Competitive salary and benefits, including health coverage, 401(k) match, and flexible PTO, are offered.

Qualifications

• Extensive programming experience in a real-world data environment.
• Excellent written and verbal communication skills.
• Fluency in English.

Responsibilities

• Heavy programming and data review for real-world data analyses.
• Support protocol and SAP review for epidemiologists.
• Develop programs and support statistical programming for clients.
• Prepare data specifications and review data outputs against protocol requirements.

Skills

Programming Languages: SAS, R, SQL

Data Experience: eHR; claims data

Modeling/programming expertise including GLM

Analytical skills for addressing messy datasets

Experience with OMOP Common Data Model

Knowledge of GitHub versioning

Education

Undergraduate or master’s degree in biostatistics, mathematics, epidemiology, or related scientific field

Tools

Python

SAS

R

Job description

Job Responsibilities

• Open to US, Canada, and UK only – no sponsorship available.
• Heavy programming and data review for real‑world data analyses. Required experience with commercial databases such as Optum, HealthVerity, PharmMetrics, IQVIA, MarketScan, VA, Medicaid, Medicare.
• Support protocol and SAP review for epidemiologists; ICD knowledge required.
• Develop programs and support statistical programming for epidemiologists or clients, creating tables, listings, graphs, and derived datasets based on the statistical analysis plan.
• Develop and maintain code for analysis datasets, tables, figures; evaluate programming processes and suggest productivity improvements.
• Design, implement, and deliver processes, programs, and policies; may supervise two or fewer employees and direct lower‑level professionals.
• Prepare data specifications and understand study protocols; review data and program outputs against protocol requirements, flag issues, and elevate when necessary.
• Address messy data by identifying issues and proposing solutions.
• Use ICD or other clinical terminology; understand follow‑up periods; have OMOP CDM knowledge and familiarity with AI/ML for large language models and workflow scaffolding.
• Develop and validate programming specifications; maintain accurate and inspection‑ready documentation, testing, and verification documents.
• Manage scheduling, time constraints, and multiple projects; set priorities, estimate timelines, and meet project deadlines.
• Conduct and prepare for internal and sponsor meetings, provide input on documentation such as Statistical Analysis Plans and mock shells, and mentor junior programmers.
• Perform other related duties as assigned; minimal travel may be required.

Minimum Requirements

• Data Experience: eHR; claims data – Optum, HealthVerity, IQVIA PharmMetrics; optional MarketScan, VA, Medicaid, Medicare.
• Programming Languages: SAS or R, SQL required; proficiency in Python, SAS, or R also acceptable.
• Programmatic cohort derivation, index date definition, and modeling/programming expertise including GLM, logistic regression, Cox models, propensity score matching, incidence computations.
• Experience preparing data specifications, reviewing outputs against protocol, and addressing messy datasets.
• Experience with OMOP Common Data Model and AI/ML modeling.
• Knowledge of GitHub versioning ideal.

Qualifications

• Undergraduate or master’s degree in biostatistics, mathematics, epidemiology, or related scientific field.
• Extensive programming experience in SAS, R, Python, or other required software within a real‑world data environment.
• Excellent written and verbal communication skills.
• Fluency in English.

Salary

$80,600.00 – $145,000.00

Benefits

• Company car or car allowance.
• Medical, dental, and vision health benefits.
• Company match 401(k).
• Employee Stock Purchase Plan eligibility.
• Commission or bonus based on company and individual performance.
• Flexible paid time off (PTO) and sick time; paid sick time eligibility varies by state or municipality.

EEO and ADA Statement

Syneos Health complies with all applicable federal, state, and municipal paid sick time requirements and the Americans with Disabilities Act. The Company is committed to providing reasonable accommodations to assist employees or applicants in performing essential job functions.