Job Description
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
This position supports statistical programming activities for late stage drug/vaccine clinical development projects. This may include leadership of one or more projects. Accountability predominantly includes the development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures), the span of which range from individual clinical trials to world-wide regulatory application submissions and post marketing support.
The incumbent is responsible for the design and maintenance of statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation. The position is a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables. For assigned projects the position serves as the statistical programming point of contact and knowledge holder through the entire product lifecycle.
Primary Activities:
Effective analysis and report programming development and validation utilizing global and TA standards and following departmental SOPs and good programming practices.
Maintain and manage a project plan including resource forecasting.
Coordinate the activities of a global programming team that includes outsource provider staff.
Membership on departmental strategic initiative teams
Educational Qualifications:
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field and at least 5 years SAS programming experience in a clinical trial environment or
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field and at least 3 years SAS programming experience in a clinical trial environment.
Required Skills:
Effective interpersonal skills and ability to negotiate and collaborate effectively.
Effective written, oral, and presentation skills
Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
A project leader; completes tasks independently at a project level; ability to collaborate with key stakeholders.
Position Specific Skills and Experience:
Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise.
Designs and develops complex programming algorithms.
Ability to comprehend analysis plans which may describe methodology to be programmed, an understanding of statistical terminology and concepts.
Familiarity with clinical data management concepts
Experience in CDISC and ADaM standards
Experience ensuring process compliance and deliverable quality.
Strategic thinking - ability to turn strategy into tactical activities; design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices.
Ability to anticipate stakeholder requirements.
Preferred Experience:
Demonstrated success in the assurance of deliverable quality and process compliance. Strong working knowledge of reporting processes (SOPs) and software development life cycle (SDLC)
US and/or worldwide drug or vaccine regulatory application submission experience including the development of electronic submission deliverables.
Experience assuring programming consistency across protocols and projects, directing the program development effort of other programmers; experience as a programming mentor.
Ability and interest to work across cultures and geographies.
Ability to complete statistical programming deliverables through the use of global outsource partner programming staff.
Experience developing and managing a project plan using Microsoft Project or similar package.
Active in professional societies
Experience in process improvement
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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”.
The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected US salary range:
$111,400.00 - $175,300.00Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.
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
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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:
RegularRelocation:
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01/3/2025*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.