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

Syneos Health; Georgia; On-site; USD 95,000 - 176,000; Full time

Benefits offered by this job

Health benefits

401k match

Stock purchase plan

Bonuses

PTO

Job summary

Syneos Health is seeking a Senior Programmer-Sr Data Scientist/Analyst for Real-World Data (SAS/R) to design and implement programs that generate robust real-world evidence from claims and EHR sources. You will contribute to epidemiologic studies and survival analyses, shaping methods for longitudinal cohorts.

The role requires strong programming skills, experience with SAS or R, and clear communication in a pharmaceutical data context.

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.

Responsibilities

• Assess quality of the data
• Protocol and SAP review and input
• Conduct analyses (programming of TFLs)

Skills

SAS

R

Education

Advanced degree in Biostatistics or Epidemiology

Tools

OHDSI Tools

OMOP CDM

DARWIN

Job description

Senior 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)

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 Studies & Informatics) Tools
    • OHDSI – Observational Health Data Sciences and Informatics
  • DARWIN: DARWIN EU Initiative Presentation – 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

Salary

$95,000.00 - $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.syneoshealth.com

Additional Information

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.

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.