Merck
Principal Scientist, Process Control and Data Analytics
Join to apply for the
Principal Scientist, Process Control and Data Analytics
role at
Merck Principal Scientist, Process Control and Data Analytics
1 day ago Be among the first 25 applicants Join to apply for the
Principal Scientist, Process Control and Data Analytics
role at
Merck 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 organization's 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 on-going support. 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 on-going 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 team's 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.
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 organization's 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 on-going 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 on-going 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 team's 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
Master's 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. In-depth 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 high-performing teams. Strong communication and interpersonal skills, with the ability to collaborate with cross-functional 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 problem-solving 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.
Requirements
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
$153,800.00 - $242,200.00
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:
Domestic
VISA Sponsorship
Yes
Travel Requirements
10%
Flexible Work Arrangements
Hybrid
Shift
Not Indicated
Valid Driving License
No
Hazardous Material(s)
n/a
Required Skills
Preferred Skills:
Job Posting End Date
08/15/2025
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.
Requisition ID: R346466 Seniority level
Seniority level Associate Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Pharmaceutical Manufacturing, Biotechnology Research, and Research Services Referrals increase your chances of interviewing at Merck by 2x Sign in to set job alerts for “Principal Scientist” roles.
Brooklyn, NY $119,000.00-$155,000.00 1 day ago Jersey City, NJ $141,170.00-$170,000.00 2 weeks ago New York, NY $173,000.00-$242,000.00 2 weeks ago New York City Metropolitan Area 1 month ago Jersey City, NJ $116,000.00-$152,250.00 1 week ago Jersey City, NJ $116,000.00-$152,250.00 1 week ago New York City Metropolitan Area $85,000.00-$175,000.00 1 week ago Jersey City, NJ $116,000.00-$145,000.00 2 weeks ago New York, NY $145,000.00-$204,000.00 2 weeks ago New York, NY $110,018.00-$157,169.00 2 weeks ago New York, NY $130,000.00-$180,000.00 4 hours ago New York, NY $166,000.00-$244,000.00 3 days ago Brooklyn, NY $150,000.00-$200,000.00 1 month ago New York, NY $150,000.00-$160,000.00 5 days ago New York City Metropolitan Area 3 weeks ago New York, NY $150,000.00-$180,000.00 1 day ago New York, NY $185,000.00-$195,000.00 1 month ago New York, NY $110,000.00-$160,000.00 1 week ago New York, NY $150,000.00-$200,000.00 2 months ago New York, NY $105,000.00-$193,700.00 1 week ago New York, NY $149,000.00-$186,000.00 1 hour ago Weehawken, NJ $130,000.00-$140,000.00 1 month ago New York, NY $105,000.00-$193,700.00 2 weeks ago New York City Metropolitan Area 10 hours ago Data Scientist, Content Analytics - Music Partnerships
New York, NY $89,093.00-$127,262.00 2 days ago New York, NY $120,000.00-$180,000.00 1 week ago New York, NY $100,000.00-$250,000.00 1 month ago New York, NY $181,875.00-$200,645.00 1 week ago Jersey City, NJ $138,000.00-$173,000.00 2 weeks ago New York, NY $120,700.00-$228,600.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Join to apply for the
Principal Scientist, Process Control and Data Analytics
role at
Merck Principal Scientist, Process Control and Data Analytics
1 day ago Be among the first 25 applicants Join to apply for the
Principal Scientist, Process Control and Data Analytics
role at
Merck 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 organization's 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 on-going support. 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 on-going 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 team's 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.
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 organization's 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 on-going 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 on-going 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 team's 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
Master's 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. In-depth 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 high-performing teams. Strong communication and interpersonal skills, with the ability to collaborate with cross-functional 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 problem-solving 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.
Requirements
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
$153,800.00 - $242,200.00
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:
Domestic
VISA Sponsorship
Yes
Travel Requirements
10%
Flexible Work Arrangements
Hybrid
Shift
Not Indicated
Valid Driving License
No
Hazardous Material(s)
n/a
Required Skills
Preferred Skills:
Job Posting End Date
08/15/2025
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.
Requisition ID: R346466 Seniority level
Seniority level Associate Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Pharmaceutical Manufacturing, Biotechnology Research, and Research Services Referrals increase your chances of interviewing at Merck by 2x Sign in to set job alerts for “Principal Scientist” roles.
Brooklyn, NY $119,000.00-$155,000.00 1 day ago Jersey City, NJ $141,170.00-$170,000.00 2 weeks ago New York, NY $173,000.00-$242,000.00 2 weeks ago New York City Metropolitan Area 1 month ago Jersey City, NJ $116,000.00-$152,250.00 1 week ago Jersey City, NJ $116,000.00-$152,250.00 1 week ago New York City Metropolitan Area $85,000.00-$175,000.00 1 week ago Jersey City, NJ $116,000.00-$145,000.00 2 weeks ago New York, NY $145,000.00-$204,000.00 2 weeks ago New York, NY $110,018.00-$157,169.00 2 weeks ago New York, NY $130,000.00-$180,000.00 4 hours ago New York, NY $166,000.00-$244,000.00 3 days ago Brooklyn, NY $150,000.00-$200,000.00 1 month ago New York, NY $150,000.00-$160,000.00 5 days ago New York City Metropolitan Area 3 weeks ago New York, NY $150,000.00-$180,000.00 1 day ago New York, NY $185,000.00-$195,000.00 1 month ago New York, NY $110,000.00-$160,000.00 1 week ago New York, NY $150,000.00-$200,000.00 2 months ago New York, NY $105,000.00-$193,700.00 1 week ago New York, NY $149,000.00-$186,000.00 1 hour ago Weehawken, NJ $130,000.00-$140,000.00 1 month ago New York, NY $105,000.00-$193,700.00 2 weeks ago New York City Metropolitan Area 10 hours ago Data Scientist, Content Analytics - Music Partnerships
New York, NY $89,093.00-$127,262.00 2 days ago New York, NY $120,000.00-$180,000.00 1 week ago New York, NY $100,000.00-$250,000.00 1 month ago New York, NY $181,875.00-$200,645.00 1 week ago Jersey City, NJ $138,000.00-$173,000.00 2 weeks ago New York, NY $120,700.00-$228,600.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr