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

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

London Full-Time 80600 - 175700 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Conduct real-world data analysis using SAS or R and lead cohort studies.
  • Company: Join Syneos Health, a top player in life sciences services.
  • Benefits: Enjoy health benefits, flexible PTO, and a competitive salary.
  • Other info: Great career growth opportunities in a dynamic team environment.
  • Why this job: Make a difference in healthcare by analysing impactful data.
  • Qualifications: Advanced degree in Biostatistics or Epidemiology and strong programming skills.

The predicted salary is between 80600 - 175700 £ per year.

Location: London, LND, United Kingdom

Job ID: 25109023-OTHLOC-3526-2DR

Syneos Health® is a leading fully-integrated life sciences services organization. This role is within the Clinical Solutions team.

Job Responsibilities

  • 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.
  • 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 – OHDSI, OHDSI – Observational Health Data Sciences and Informatics, DARWIN: DARWIN EU Initiative Presentation – OHDSI.

Qualifications

  • Undergraduate degree, preferably in a scientific or statistical discipline; alternatively, 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

The benefits for this position may include a company car or car allowance, health benefits such as 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.

Salary Range $80,600.00 - $175,700.00 (base salary range).

Legal Notice We comply with the Americans with Disabilities Act, the EU Equality Directive, and all applicable federal, state, and municipal paid sick time requirements.

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) in London employer: United States Digital Space LLC

Syneos Health® is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Clinical Solutions team in London. Employees benefit from comprehensive health packages, flexible paid time off, and opportunities for professional growth in the dynamic life sciences sector, making it an ideal place for those seeking meaningful and rewarding careers in data science and programming.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) in London

Communication Skills
Problem-Solving Skills
Organizational Skills
Compassion
Flexibility
Teamwork
Adaptability