Senior Programmer-Senior Data Scientist/Analyst Real-World Data (SAS/R) @Syneos Health
Data and Analytics
Salary usd 95,000 - 17..
Remote Location
Employment Type full-time
Posted 4d ago

[Hiring] Senior Programmer-Senior Data Scientist/Analyst Real-World Data (SAS/R) @Syneos Health

4d ago - Syneos Health is hiring a remote Senior Programmer-Senior Data Scientist/Analyst Real-World Data (SAS/R). ๐Ÿ’ธ Salary: usd 95,000 - 175,700 per year ๐Ÿ“Location: Spain

Role Description

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)
  • Nice to have:
    • 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 โ€“ OHDSI
    • OHDSI (Observational Health Data Studies & Informatics) Tools
    • OHDSI โ€“ Observational Health Data Sciences and Informatics
    • DARWIN: DARWIN EU Initiative Presentation โ€“ OHDSI

Qualifications

  • 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.

Benefits

  • 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
  • Flexible paid time off (PTO) and sick time

Company Description

Syneos Healthยฎ 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, youโ€™ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver โ€“ for one another, our customers, and, most importantly, for those in need.

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.

Before You Apply
๏ธ
remote Be aware of the location restriction for this remote position: Spain
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Programmer-Senior Data Scientist/Analyst Real-World Data (SAS/R) @Syneos Health
Data and Analytics
Salary usd 95,000 - 17..
Remote Location
Employment Type full-time
Posted 4d ago
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โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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