MSD
Senior Data Engineer, Process R&D Enabling Technologies (Hybrid)
MSD, West Point, Nebraska, United States, 68788
Job Description
We are seeking a Senior Scientist to join the Process Research & Development — Enabling Technologies (PR&D ET) team to support the Development Sciences and Clinical Supply (DSCS) organization’s Digital initiative. This position is located in either West Point, PA, or Rahway, NJ.
To learn more about the PRD team, click: Join Our Process Research & Development Team.
Primary Responsibilities: In this role, the selected candidate will work with a team of scientists and data professionals to identify, develop, and deploy data products designed to improve how process knowledge is gathered, analyzed, and applied. The technologies we develop are as diverse as the team that builds them. In this Senior Scientist role, the selected candidate will collaborate with our company Research & Development division's IT to establish end-to-end, cloud-based data products and machine learning pipelines that leverage data contextualization to dramatically streamline digital workflows across our Process Research and Development portfolio.
DSCS Digital is responsible for the invention and application of new tools to support the scientists across analytical and process research & development. We aspire to embed data‑intense tools into the fabric of the organization’s process development culture. This Senior Scientist role is a scientific position tasked with solving complex process R&D challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting‑edge data solutions.
We are seeking Data Engineers who are passionate about connecting data streams to enable emerging digital technologies. As a Data Engineer within DSCS Digital, you’ll have the opportunity to be on the forefront of driving a major transformation across the broad DSCS organization. This role will allow the chosen candidate to collaborate with and across teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. They will utilize programming languages like Java, Scala, Python, Spark, and No/SQL to design and implement non/relational databases also leveraging cloud-based data warehousing tools such as Redshift and Snowflake. Successful candidates will share their passion for staying on top of technology trends, experimenting with and learning new tools, participating in internal & external technology communities, and mentoring other members of our company growing digital community. The candidate will be expected to deliver robust cloudbased solutions that drive and accelerate drug development with our partners in DSCS.
In addition to a passion for advanced analytics, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity, equity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to perform impactful scientific innovation in a team‑oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a clear, demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community.
As such, the chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life‑changing medicines and vaccines of tomorrow.
Education Minimum Requirement:
A B.S. in a scientific, engineering, or a closely related field plus 4 years of experience.
An M.S. in a scientific, engineering, or a closely related field plus 2 years of experience.
A Ph.D. in a scientific, engineering or closely related field.
Required Experience and Skills:
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Background and experience in data science, data engineering, and machine learning/artificial intelligence.
Highly motivated and technology‑centric scientist that is passionate about modernizing our company process development practices across biologics, vaccines, and small molecule modalities.
Demonstrated scientific ability through publications and presentations in scientific conferences.
Excellent communication skills, demonstrated creativity, and effective interpersonal skills.
Ability to deliver complex solutions under compressed timelines in a dynamic environment.
Ability to work in a team environment with cross‑functional interactions.
Preferred Experience and Skills:
Experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
Background in leveraging a broad range of machine learning and data science tools, including development and application of deep learning methodologies for predictive capabilities.
Expertise in data analysis, including machine learning/artificial intelligence, chemometrics, statistical analysis, and multivariate data analysis.
Utilization of tools within computational biology for processing, analysis, and modeling of data generated by multi‑omics approaches.
Evidence of cross‑functional collaboration in an academic or industrial setting.
Experience in research efforts focused on vaccines, biological molecules, bioconjugates, or general large molecules.
Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity
Required Skills:
Accountability
Adaptability
Animal Vaccination
Big Data
Bioprocessing
Cloud Computing
Collaborative Communications
Communication
Computational Biology
Cross‑Functional Teamwork
Data Analysis
Drug Delivery Technology
Drug Development
Flow Cytometry
High‑Throughput Screening
Information Technology Trends
Innovative Thinking
Interpersonal Relationships
Molecular Biology Techniques
Multi‑Color Flow Cytometry
Preformulation
Process Optimization
Protein Biochemistry
Protein Purifications
Preferred Skills: Current Employees apply HERE
Current Contingent Workers apply HERE
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
$114,700.00 - $180,500.00
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 1st - Day
Valid Driving License No
Hazardous Material(s) n/a
Job Posting End Date 11/6/2025
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.
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We are seeking a Senior Scientist to join the Process Research & Development — Enabling Technologies (PR&D ET) team to support the Development Sciences and Clinical Supply (DSCS) organization’s Digital initiative. This position is located in either West Point, PA, or Rahway, NJ.
To learn more about the PRD team, click: Join Our Process Research & Development Team.
Primary Responsibilities: In this role, the selected candidate will work with a team of scientists and data professionals to identify, develop, and deploy data products designed to improve how process knowledge is gathered, analyzed, and applied. The technologies we develop are as diverse as the team that builds them. In this Senior Scientist role, the selected candidate will collaborate with our company Research & Development division's IT to establish end-to-end, cloud-based data products and machine learning pipelines that leverage data contextualization to dramatically streamline digital workflows across our Process Research and Development portfolio.
DSCS Digital is responsible for the invention and application of new tools to support the scientists across analytical and process research & development. We aspire to embed data‑intense tools into the fabric of the organization’s process development culture. This Senior Scientist role is a scientific position tasked with solving complex process R&D challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting‑edge data solutions.
We are seeking Data Engineers who are passionate about connecting data streams to enable emerging digital technologies. As a Data Engineer within DSCS Digital, you’ll have the opportunity to be on the forefront of driving a major transformation across the broad DSCS organization. This role will allow the chosen candidate to collaborate with and across teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. They will utilize programming languages like Java, Scala, Python, Spark, and No/SQL to design and implement non/relational databases also leveraging cloud-based data warehousing tools such as Redshift and Snowflake. Successful candidates will share their passion for staying on top of technology trends, experimenting with and learning new tools, participating in internal & external technology communities, and mentoring other members of our company growing digital community. The candidate will be expected to deliver robust cloudbased solutions that drive and accelerate drug development with our partners in DSCS.
In addition to a passion for advanced analytics, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity, equity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to perform impactful scientific innovation in a team‑oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a clear, demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community.
As such, the chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life‑changing medicines and vaccines of tomorrow.
Education Minimum Requirement:
A B.S. in a scientific, engineering, or a closely related field plus 4 years of experience.
An M.S. in a scientific, engineering, or a closely related field plus 2 years of experience.
A Ph.D. in a scientific, engineering or closely related field.
Required Experience and Skills:
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Background and experience in data science, data engineering, and machine learning/artificial intelligence.
Highly motivated and technology‑centric scientist that is passionate about modernizing our company process development practices across biologics, vaccines, and small molecule modalities.
Demonstrated scientific ability through publications and presentations in scientific conferences.
Excellent communication skills, demonstrated creativity, and effective interpersonal skills.
Ability to deliver complex solutions under compressed timelines in a dynamic environment.
Ability to work in a team environment with cross‑functional interactions.
Preferred Experience and Skills:
Experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
Background in leveraging a broad range of machine learning and data science tools, including development and application of deep learning methodologies for predictive capabilities.
Expertise in data analysis, including machine learning/artificial intelligence, chemometrics, statistical analysis, and multivariate data analysis.
Utilization of tools within computational biology for processing, analysis, and modeling of data generated by multi‑omics approaches.
Evidence of cross‑functional collaboration in an academic or industrial setting.
Experience in research efforts focused on vaccines, biological molecules, bioconjugates, or general large molecules.
Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity
Required Skills:
Accountability
Adaptability
Animal Vaccination
Big Data
Bioprocessing
Cloud Computing
Collaborative Communications
Communication
Computational Biology
Cross‑Functional Teamwork
Data Analysis
Drug Delivery Technology
Drug Development
Flow Cytometry
High‑Throughput Screening
Information Technology Trends
Innovative Thinking
Interpersonal Relationships
Molecular Biology Techniques
Multi‑Color Flow Cytometry
Preformulation
Process Optimization
Protein Biochemistry
Protein Purifications
Preferred Skills: Current Employees apply HERE
Current Contingent Workers apply HERE
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
$114,700.00 - $180,500.00
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 1st - Day
Valid Driving License No
Hazardous Material(s) n/a
Job Posting End Date 11/6/2025
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.
#J-18808-Ljbffr