394642BR
Mar 18, 2024
USA
About the Role
We are seeking a talented and motivated Process Data Scientist to join our team and contribute to driving data-driven decisions and optimizing biopharmaceutical manufacturing processes through insightful data analysis and visualization. The successful candidate will play a key role in establishing data flows and connections from laboratory systems to data science platforms, advancing our understanding of bioprocesses, and contributing to the optimization and improvement of our development processes.
Your responsibilities will include, but are not limited to:
• Lead efforts to establish data flows and connections from laboratory systems to our data science platform. Demonstrate high agility to work across various business domains, including IT, engineering, laboratory teams, and collaborating partners, to identify data sources and develop data extraction methods that ensure data integrity and security.
• Quickly learn the use of tools, data sources, and analytical techniques needed to answer a wide range of critical business and scientific questions.
• Design and implement data pipelines to ingest, clean, and transform raw data for analysis. Leverage statistical and machine learning techniques to analyze integrated data sets, both structured and unstructured, extracting valuable insights into biopharmaceutical manufacturing processes. Communicate these findings to business users through compelling business presentations, interactive visualization tools, and contextual storytelling techniques, ensuring a clear and impactful understanding of the derived insights from data analysis.
• Develop and maintain data models and schemas to support ongoing data analysis and reporting needs.
• Be adaptable in providing support for a wide array of assessments, including process comparability, when necessary.
• Stay abreast of advancements in data technologies and best practices, recommending and implementing improvements to data infrastructure, models, and techniques as needed.
• Actively participate in data projects, defining scope, timelines, and resource allocation, ensuring successful execution. Collaborate proactively with team members to plan, anticipate change, manage stakeholders, identify risks, and resolve issues.
Your responsibilities will include, but are not limited to:
• Lead efforts to establish data flows and connections from laboratory systems to our data science platform. Demonstrate high agility to work across various business domains, including IT, engineering, laboratory teams, and collaborating partners, to identify data sources and develop data extraction methods that ensure data integrity and security.
• Quickly learn the use of tools, data sources, and analytical techniques needed to answer a wide range of critical business and scientific questions.
• Design and implement data pipelines to ingest, clean, and transform raw data for analysis. Leverage statistical and machine learning techniques to analyze integrated data sets, both structured and unstructured, extracting valuable insights into biopharmaceutical manufacturing processes. Communicate these findings to business users through compelling business presentations, interactive visualization tools, and contextual storytelling techniques, ensuring a clear and impactful understanding of the derived insights from data analysis.
• Develop and maintain data models and schemas to support ongoing data analysis and reporting needs.
• Be adaptable in providing support for a wide array of assessments, including process comparability, when necessary.
• Stay abreast of advancements in data technologies and best practices, recommending and implementing improvements to data infrastructure, models, and techniques as needed.
• Actively participate in data projects, defining scope, timelines, and resource allocation, ensuring successful execution. Collaborate proactively with team members to plan, anticipate change, manage stakeholders, identify risks, and resolve issues.
Diversity & Inclusion / EEO
We are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please let us know the nature of your request, your contact information and the job requisition number in your message:
Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please let us know the nature of your request, your contact information and the job requisition number in your message:
- Novartis: e-mail [email protected] or call +1 (877)395-2339
- Sandoz: e-mail [email protected] or call: +1-609-422-4098
Role Requirements
What you'll bring to the role:
• Bachelor's Degree with 7 years / Masters Degree with 5 years/ PhD with 1 year of experience or dedicated post doc / graduate training in the field of bioprocess or data science. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued.
• Excellent teamwork and communication skills, with a collaborative and proactive approach to problem-solving.
• Deep analytical and problem-solving skills, with the ability to interpret and communicate findings effectively to both technical and non-technical stakeholders.
• Proficiency in programming languages such as Python and R
• Experience with platforms like Redhat Openshift, Posit Workbench, or Posit Connect
• Familiarity with web development technologies including JSON, CSS, and HTML.
• Experience with tools and platforms commonly used in the biopharmaceutical industry (e.g., JMP/JSL/SAS, SIMCA, OSIsoft PI).
• Proven experience in understanding of modeling and statistical concepts.
• Knowledge of bioprocess engineering principles and familiarity with biopharmaceutical manufacturing processes is preferred.
The pay range for this position at commencement of employment is expected to be between $130,000 and $195,600 year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why Novartis?
799 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
• Bachelor's Degree with 7 years / Masters Degree with 5 years/ PhD with 1 year of experience or dedicated post doc / graduate training in the field of bioprocess or data science. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued.
• Excellent teamwork and communication skills, with a collaborative and proactive approach to problem-solving.
• Deep analytical and problem-solving skills, with the ability to interpret and communicate findings effectively to both technical and non-technical stakeholders.
• Proficiency in programming languages such as Python and R
• Experience with platforms like Redhat Openshift, Posit Workbench, or Posit Connect
• Familiarity with web development technologies including JSON, CSS, and HTML.
• Experience with tools and platforms commonly used in the biopharmaceutical industry (e.g., JMP/JSL/SAS, SIMCA, OSIsoft PI).
• Proven experience in understanding of modeling and statistical concepts.
• Knowledge of bioprocess engineering principles and familiarity with biopharmaceutical manufacturing processes is preferred.
The pay range for this position at commencement of employment is expected to be between $130,000 and $195,600 year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why Novartis?
799 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Development
TECHNICAL R & D GDD
USA
Durham, NC
Novartis Pharmaceuticals
Research & Development
Full Time
Regular
No
