Job Description
Responsibilities:
- Utilize big data to analyze the safety and efficacy claims of potential medical breakthroughs.
- Review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis and high-quality data to support decision making in clinical trials.
- Support statistical programming activities for Early Oncology clinical development projects.
- Responsible for the development and execution of statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets, tables, listings, figures) for early oncology studies.
- Responsible for design and maintenance of statistical datasets that support multiple stakeholder groups, including clinical development and safety evaluation.
- Collaborate with statistics and other project stakeholders in ensuring project plans are executed efficiently with timely and high-quality deliverables.
- Effective analysis and report programming development and validation, utilizing global and therapeutic area (TA) standards and following departmental standard operating procedures (SOPs) and good programming practice.
- Maintain and manage a project plan including resource forecasting.
- Coordinate the activities of a global programming team that includes outsourced provider staff.
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Requirements:
- Master's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or a related field and 3 years of experience in the position offered or related occupation.
- We will also accept a Bachelor's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or a related field and 5 years of experience in the job offered or related occupation.
- Must have 3 years of experience with all of the following: SAS programming in a clinical trial environment including data steps, procedures, SAS/MACRO, and SAS/GRAPH; developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings); working with SAS systems and statistical databases; designing and developing complex programming algorithms; experience with analysis plans which describe the methodology to be programmed; applying statistical terminology and clinical data management concepts; CDISC and ADaM standards; ensuring process compliance and deliverable quality; and designing statistical databases with objective to optimize analysis and reporting and leverage departmental standards and industry best practices.
- Must also have 1 year of experience with oncology clinical programming support.
LOCATION:
351 N Sumneytown Pike, North Wales, PA 19454
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.
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U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
12/5/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID:R308982