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Senior Statistical Programmer - Biomarker (FSP)

Durham, North Carolina, United States of America

This position is remote-based and Full-Time.

Candidates must be in either the United States or Canada.

Why DSSS?

Data Sciences Staffing Solutions, DSSS or DS3, is a unit within IQVIA that provides our sponsors with fully embedded resources through a Functional Service Provider (FSP) partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you unique opportunities to influence the future of medicine and advance therapies.

Job Requirements:

  • Assesses the quality and consistency of analysis data and performs cross-study analyses across various studies.
  • Generates the production of statistical output (e.g., tables, figures, and listings) for study reports and integrated summaries.
  • Independently identifies issues in the analysis from previous experience and knowledge.
  • Uses internal macros or writes SAS® macros to automate study deliverables.
  • Statistical programmers work collaboratively with bioinformatics, biomarker scientists, and data management to ensure the efficient, high-quality production of analysis datasets, and statistical outputs for biomarker analysis reports.
  • Contribute to on-going study related projects and explore new technologies to increase biomarker programming efficiency and analysis reproducibility, including but not limited to report automation and data processing.

Required Experience:

  • A Bachelor’s or Master’s degree in science related field with minimum 5 years’ hands-on statistical programming experience in life sciences and at least 3 years’ recent experience working with biomarkers
  • Ability to program in R and SAS proficiently and learn new programming languages is required.
  • R Programming: Will be using R to pull biomarker data from data warehouse so must be able to code and perform analysis in R
  • Will consider candidates who are strong in SAS and less in R or vice versa.  
  • Hands-on experience in CDISC standards and datasets (SDTM, ADaM) required

Additional Benefits:

  • Home-based remote working opportunities
  • Work/life balance as well as flexible schedules
  • Collaborating with dedicated, high-performance, statistical, and research teams
  • Variety of therapeutic areas, indications, and study phases
  • Technical training and tailored development curriculum
  • Research opportunities that match your unique skillset
  • Promising career trajectory
  • Job stability: long-term engagements and re-deployment opportunities
  • Focus on bringing new therapies to market rather than project budgets and change orders

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com

We are committed to providing equal employment opportunities for all, including veterans and candidates with disabilities. https://jobs.iqvia.com/eoe

IQVIA’s ability to operate and provide certain services to customers and partners necessitates IQVIA and its employees meet specific requirements regarding COVID-19 vaccination status. https://jobs.iqvia.com/covid-19-vaccine-status

The potential base pay range for this role, when annualized, is $106,200.00 - $218,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits. Apply

Job Profile

Regions

North America

Countries

Canada United States

Restrictions

Candidates must be in United States or Canada

Benefits/Perks

Flexible schedules Home-based remote working Job stability Promising career trajectory Research opportunities Technical training and development Variety of therapeutic areas Work-life balance

Tasks
  • Automation of study deliverables
  • Collaboration with bioinformatics and data management
  • Contribution to study projects and technology exploration
  • Issue identification in analysis
  • Quality assessment of analysis data
  • Statistical output generation
Skills

Automation CDISC standards Clinical Research Data Management Programming R Programming SAS Technology solutions

Experience

5 years

Education

Bachelor's Bioinformatics Master's Related Field

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9