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Clinical and Statistical Data Programmer

Clinical and Statistical Data Programmer

ZoetisUSA, Michigan, Lansing
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Role Description

JOB TITLE :

Clinical and Statistical Data Programmer

Statistics and Data Management, Automation and Data Sciences

Veterinary Medicine Research & Development (VMRD)

May consider remote

POSITION RESPONSIBILITIES :

The successful applicant embodies Zoetis' Core Beliefs : Our Colleagues Make The Difference, Always Do The Right Thing, Customer Obsessed, Run It Like You Own It, and We Are One Zoetis.

Our clinical studies-especially companion-animal field trials-generate diverse data that must be transformed into clear, accurate tables, listings, and figures (TLFs) for publications, study reports, and submissions. We're seeking an early-career Statistical and Clinical Data Programmer with a strong statistical foundation to partner with statisticians and data managers in a non-CDISC environment (human-health ADaM / SDTM / CDISC standards do not apply; we use animal-health standards and internal specifications).

What You'll Do (Key Responsibilities)

  • Program & QC TLFs for clinical study reports and manuscripts using SAS (Base / Macro / ODS) and / or R; support requests for data listings, summaries, analyses or data visualizations under supervision of project statisticians.
  • Build analysis and / or submission datasets (per protocol and internal specs) under the supervision of statisticians and data managers as per applicable regulatory requirements.
  • Collaborate with data management and statistics on data review and validation to ensure clean and analysis-ready datasets.
  • Automate & standardize : develop reusable macros / templates to create TLFs from upstream statistical analysis outputs; contribute to internal programming standards suited to animal health (non-SDTM / ADaM).
  • Maintain rigorous quality and documentation practices for programming.
  • Follow internal SOPs and GxP expectations for Animal Health.

Qualifications

Required

  • Education : Bachelor's or Master's in Statistics / Biostatistics, Applied Mathematics, Data Science, Computer Science, or a quantitative life-science field.
  • Experience : 0-3 years in pharma / biotech, animal health, CRO, or related research environment.
  • Experience with SAS programming (data steps, PROC SQL, PROC REPORT / TABULATE, ODS Graphics, Macro, PROC SGPLOT / SGPANEL, graph template language).
  • Familiarity with data manipulation, reporting, and visualization R and / or Python.
  • Data mindset : comfort with messy real-world data; eagerness to learn animal-health study nuances.
  • Collaboration : clear written and verbal communication; ability to translate statistical and reporting requirements into programming specs with clear timelines.
  • Desire and aptitude to learn and grow in different programming tools to accomplish reporting and visualization tasks.
  • Creativity in reporting and visualizing data and information for clear interpretation.
  • Preferred

  • 3-5 years' experience in pharmaceutical / animal health R&D in a clinical data management or statistical programming specialty and / or work in regulated environments.
  • Experience with graphics and reporting workflows (SAS ODS, R Markdown / Quarto, LaTeX) for submission / publishing.
  • Statistics foundation : experimental design, hypothesis testing, ANOVA, linear / mixed models.
  • Familiarity with VICH GCP, GLP, 21 CFR Part 11 / Annex 11, and preparation of electronic data for regulatory submissions.
  • Experience with EDC / CDMS platforms (e.g., Medrio, Prelude); exposure to controlled terminology / standards (libraries, code lists, medical / veterinary dictionaries as applicable).
  • Knowledge of SAS for TLFs / listings or R / Python for data wrangling / automation; experience with Git (version control).
  • Experience with Basic Dashboarding skills - e.g. Power BI / Tableau / R Shiny (or similar).
  • Prior contribution to SOPs, templates, study libraries, and process improvement initiatives; experience mentoring junior staff.
  • The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in ( Colorado ). Base pay may vary based on location and other factors.

    Base Pay Range : $87,000 - $106,000

    The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in ( California ), ( NJ Remote ), ( NY Remote ), or ( Washington ). Base pay may vary based on location and other factors.

    Base Pay Range : $98,000 - $120,000

    [This position is eligible for short-term incentive compensation.]

    We offer a competitive and comprehensive benefits package, which includes healthcare, dental coverage, and retirement savings benefits along with paid holidays, vacation and disability insurance.

    Full time

    Regular

    Colleague

    Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

    Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved / engaged vendor but does not have the appropriate approvals to be engaged on a search.

    Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following : (1) our company website at www.Zoetis.com / careers site, or (2) via email to / from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and / or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

    About Zoetis

    At Zoetis , our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.

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    Statistical Programmer • USA, Michigan, Lansing

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