Principal Scientist Process Control and Data Analytics
Principal Scientist Process Control and Data Analytics
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$ 153800 - 242200
1 Vacancy
Job Description
Job Description
The Principal Scientist Process Control and Data Analytics will be responsible for leading a team focused on developing and implementing product control strategies statistical analysis and advanced statistical methods for medical device and combination product engineering within the pharmaceutical company. The position requires a strong understanding of statistical principles expertise in medical devices and combination product processes and analytical testing for devices as well as the ability to enhance the organizations big data skill set and connect with digital efforts. The ideal candidate will have a background in data science statistics and a strong understanding of medical device and combination product regulations and processes. It is expected that this role will lead significant investigations or events directly and mentor and coach their team to provide ongoing support.
Essential Duties and Responsibilities:
- Lead and manage a team of subject matter experts focusing on product control strategies statistical analysis and advanced statistical methods including principal component analysis etc.
- Develop and implement statistical process control methodologies and data anlaysis to ensure the quality and reliability of autoinjector and syringe products and other medical device and combination products. Ensure these efforts are integrated with the product stewardship organization.
- Through team members analyze and issue routine data reports and analysis such as product complaints and ongoing performance data to drive deeper technical understanding and proactive problem identification and resolution.
- Through team members rapidly and thoroughly map process control strategies across processes end to end analyzing tests methods and controls to generate a comprehensive assessment of product performance. Identify critical attributes and create and implement prospective monitoring plans
- Ensure data analysis using structured and modern data science techniques and provide mentorship and training to build the teams capabilities.
- Ensure seamless interface in the Device Development and Technology team including process stewardship and technical transfer functions. Act as a liaison between the device process teams and partner groups including the statistical centers of excellence quality sites and digital and other departments.
Qualifications:
- Masters or Ph.D. in Statistics Data Science Engineering or related field.
- Minimum of 8 years of experience in statistical analysis and statistical process control within the medical device or pharmaceutical industry.
- Indepth knowledge of medical device and combination product regulations manufacturing processes and quality control.
- Proficiency in advanced statistical methods such as partial least squares regression multivariate analysis and design of experiments.
- Demonstrated leadership and management experience including the ability to build and develop highperforming teams.
- Strong communication and interpersonal skills with the ability to collaborate with crossfunctional stakeholders and interface with other departments.
Preferred Qualifications:
- Experience in leveraging big data and digital technologies for statistical analysis and product control strategies.
- Background in data science and machine learning techniques for analyzing complex datasets.
- Knowledge of Six Sigma methodologies and structured problemsolving approaches.
- Experience with technical transfer and lifecycle support for medical devices and combination products.
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 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:
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 anothers thinking and approach problems collectively.
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U.S. Hybrid Work Model
Effective September 5 2023 employees in officebased positions in the U.S. will be working a Hybrid work consisting of three total days onsite per week Monday Thursday although the specific days may vary by site or organization with Friday designated as a remoteworking day unless business critical tasks require an onsite Hybrid work model does not apply to and daily inperson attendance is required for fieldbased positions; facilitybased manufacturingbased or researchbased positions where the work to be performed is located at a Company site; positions covered by a collectivebargaining 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 candidates relevant skills experience and education.
Expected US salary range:
$153800.00 $242200.00Available 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
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 preexisting agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.
Employee Status:
RegularRelocation:
DomesticVISA Sponsorship:
YesTravel Requirements:
10Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
05/13/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Required Experience:
Staff IC
Employment Type
Full-Time
