Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)

Requirements

• Standard Data & Data Standards Observational Medical Outcomes (OMOP) Common Data Model (CDM) Open community of data standards
• Standards, structure and content of observational data
• Enables efficient analyses
• Data Standardization - OHDSI
• OHDSI (Observational Health Data Studies & Informatics) Tools OHDSI - Observational Health Data Sciences and Informatics
• DARWIN: DARWIN EU Initiative Presentation - OHDSI
• 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 SAS or other required software, preferably in a clinical trial environment.
• Excellent written and verbal communication skills.
• Ability to read, write, speak and understand English.
• Salary Range:
• $80,600.00 - $175,700.00
• The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.
• 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.
• http://www.syneosheal

Benefits

Additional Information

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) 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. Discover what your 25,000 future colleagues already know: 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 building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life. - We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Senior Data Analyst Programming Skills: Highly proficient in SAS or R. Database Experience: Extensive familiarity with commercial claims and EHR databases, such as Optum, MarketScan, IQVIA PharMetrics, or HealthVerity. Cohort Studies: Ability to conduct longitudinal cohort studies, including creating study cohorts, baseline and outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands-on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. In addition: Assess quality of the data Protocol and SAP review and input Conduct analyses (programming of TFLs)

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