At a Glance
- Tasks: Develop and analyse real-world data using SAS or R to drive impactful insights.
- Company: Join a leading health data analytics company focused on innovation.
- Benefits: Competitive salary, health benefits, flexible PTO, and 401k match.
- Other info: Opportunity for career growth and involvement in exciting projects.
- Why this job: Make a difference in healthcare by leveraging your programming skills in a dynamic environment.
- Qualifications: Undergraduate degree in a scientific field and strong SAS or R programming skills.
The predicted salary is between 60600 - 127700 £ per year.
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.
Additional Responsibilities
- 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.
- Data Standardization – OHDSI.
- OHDSI Tools.
- OHDSI – Observational Health Data Sciences and Informatics.
- DARWIN: DARWIN EU Initiative Presentation – OHDSI.
Qualifications
- Undergraduate degree, preferably in a scientific or statistical discipline; or 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.
Summary
Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity.
Impact and Contribution
Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.
Salary
Salary Range: $80,600.00 - $175,700.00
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. 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.
Legal Compliance
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, 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.
Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) employer: Syneos Health
At Syneos Health, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive benefits, including health coverage, a 401k match, and flexible paid time off, all designed to support your well-being and career advancement. Located in a vibrant area, we offer unique opportunities to engage with cutting-edge real-world data projects, making your contributions impactful and rewarding.
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We think this is how you could land Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)
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We think you need these skills to ace Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Syneos Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Syneos Health
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.