Scientist, Statistical Programming (Hybrid) at Merck Sharp & Dohme Corp. /Netherlands

North Wales, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

151400.0

Posted On

04 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAS, R, Data manipulation, Clinical trial reporting, Statistical programming, Data validation, Biostatistics, Molecular biomarker data, Imaging data, Python, Gen AI, Data standards, SDLC, Numerical analysis, Stakeholder management, Waterfall model

Industry

Pharmaceutical Manufacturing

Description

Job Description Statistical Programming is in the Biostatistics and Research Decision Sciences (BARDS) department at our company’s Research & Development Labs which supports the targeting, discovery, development, manufacturing, and marketing of drugs and vaccines for the benefit of patients and global public health. Statistical programmers have a key role in analyzing and reporting our company’s clinical trial databases. They use their analytical skills to programmatically develop and deliver analysis datasets, tables, listings, and graphics. Our company’s scientists and health authorities then utilize these deliverables to inform decision-making about the effectiveness and safety of our company’s drugs and vaccines. Statistical programmers, in partnership with scientists across our Research & Development division, support all therapeutic areas and every phase of drug development. This position provides high quality statistical programming analysis and reporting deliverables for global stakeholders in Early Development Statistics. Accountability predominantly includes the development and execution of statistical analysis and reporting datasets, tables, listings, figures and submission deliverables under the guidance of a senior level programmer. The statistical programmer will perform validation tasks according to departmental SOPs and collaborate effectively with outsource partner on medical monitoring reports development, validation, and deployment. The position is a key collaborator with statistics and other project stakeholders to gather and document user requirements for statistical programming deliverables. Primary Activities: Pre-process, filter, and manipulate complex data for the analyses of molecular biomarker data, imaging data, and external data other than traditional laboratory data Programmatically develop, validate and maintain efficacy and safety datasets, tables, listings, and figures at a protocol level Assure deliverable quality and compliance with departmental SOPs and good programming practices Collaborate effectively with project team members including outsource provider staff Required Education: BA/BS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field plus a minimum of 2 years of SAS/R programming in a clinical trial setting. or MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related fields. Required skills and experience: Department Required Skills and Experience: Good interpersonal skills and ability to negotiate and collaborate effectively Good written, oral, and presentation skills Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings) Takes direction effectively and completes tasks at a project level; ability to collaborate with key stakeholders Position-Specific Required Skills and Experience: Solid SAS or R programming experience for data manipulation, analysis and reporting Interest and ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements Ability to learn new program techniques, multilingual skills, Gen AI skills, as well as data structures and data standards quickly and effectively Takes direction effectively and completes programming tasks under the guidance of a senior programmer at a project level Ability to identify data issues and understand complex data structure An interest in advancing career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility Preferred Skills and Experience: Opensource programming languages such as Python, Gen AI knowledge and experience Ability to comprehend analysis plans which may describe the methodology to be programmed; understanding of statistical concepts Good working knowledge of reporting processes (SOPs) and software development life cycle (SDLC) Ability and interest to work across cultures and geographies eligibleforERP SPjobs BARDS2020 VETJOBS EBRG Required Skills: Data Management, Data Modeling, Numerical Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills: 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. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts 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 salary range for this role is $96,200.00 - $151,400.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits. You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. 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: 10% Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 04/9/2026 *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:R392524

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Responsibilities

The statistical programmer will develop and execute analysis datasets, tables, listings, and figures to support clinical trial reporting and decision-making. They will collaborate with project teams and outsource partners to ensure high-quality, compliant deliverables according to departmental SOPs.