Senior Manager - Real World Data Science at Novo Nordisk Pharma
Plainsboro Township, NJ 08536
About the Job
About the Department The Clinical, Medical and Regulatory (CMR) department at Novo Nordisk is one of the most diverse and collaborative groups within the organization
From health-care-provider interactions and developing and implementing regulatory strategies with the FDA to providing medical education and collecting data to support efficacy and new product development, CMR is involved
The one thing that keeps us all marching to the same beat is our patient-centered focus
At Novo Nordisk, you will help patients around the world
As their needs evolve, so does our challenge to find better and more innovative ways to improve their quality of life
We’re changing lives for a living
Are you ready to make a difference?The PositionLeads the execution of observational research studies through the hands-on analysis of real-world data and application of appropriate data science techniques under the minimal supervision of a group leader; studies support the aligned strategy (defined in the Evidence Generation Plan – EGP) spanning one therapeutic area.Uses both internal and external real-world data to generate unique disease insights and epidemiological information to improve patient care and support business needs
Drives innovation in RWD analytics by implementing new analytic methods, platforms and technologies to answer research and business questions, supporting data-driven decision making.Serves as subject matter expert on real world data sources, their utility and novel analytic methods
Develops and maintains strong internal networks across both NNI and relevant HQ functions such as Data Science, serving as a key contact point into the Clinical Data Science and Evidence (CDSE) Real World Evidence (RWE) team.RelationshipsThe Senior Manager reports directly to a Senior Director within the CDSE RWE team
This is a US affiliate role executing on US RWD strategy
There will be a number of contact points across NNI and some contact points into HQ, the latter primarily to ensure establishment and access to data sets and learnings on best practice working with that data.As a key and visible RWD champion in the US enterprise, he/she will work independently with minimum oversight and direction to conduct RWE studies, engage the broader NNI organization in the utilization of RWD, contribute to product evidence strategies, use of RWD and future investments in RWD.Essential FunctionsUse statistical software (Proficient in R; other software is a plus including SAS, Python, and Stata) to perform data manipulation and analysis consistent with protocols and/or statistical analysis plans related to real world data studies to support the NNI evidence generation plan
These studies will be traditional outcomes research studies, economic evaluations of medicines and will be aimed will target top tier journalsSubject matter expert for CDSE in terms of RWD sources and their potential utilizationDrives innovation across CDSE by implementing the most appropriate analytics techniques to address research questionsKeeps updated with newer analytic techniques and platforms, and their adaption into the real-world setting; implement these techniques / platforms and describe the rationale for their implementation in appropriate language for internal stakeholdersFind new ways to visualize and communicate data to drive a data driven organizationThrough ongoing interaction with HQ Data Science and related NNI data teams, drive the development of a data access strategy and sharing of best practiceResponsible for guiding the organization on all aspects of oversight of data acquisition to support the businessPhysical Requirements10-20% overnight travel required.QualificationsMaster’s degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD)At least 4 years of experience programming with R or Python in the Data Science field in a professional capacity; appropriate education may be substituted for years of experiencePharmaceutical industry experience preferredExperience working with U.S
longitudinal RWD assets (e.g., claims, electronic health records, and/or surveys)Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essentialHighly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferredPeer-reviewed publication track record is a plusCollaborative approach to problem-solving and ability to plan and multi-taskExcellent written and oral communication skillsProven results producing visualizations for analytical understanding and communication purposesExperience communicating advanced analysis and models to non-technical audiencesClear passion for using data to generate insights and enable data-driven decision makingWe commit to an inclusive recruitment process and equality of opportunity for all our job applicants.At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world
We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures
We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in
Together, we’re life changing.Novo Nordisk is an equal opportunity employer
Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at
This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
From health-care-provider interactions and developing and implementing regulatory strategies with the FDA to providing medical education and collecting data to support efficacy and new product development, CMR is involved
The one thing that keeps us all marching to the same beat is our patient-centered focus
At Novo Nordisk, you will help patients around the world
As their needs evolve, so does our challenge to find better and more innovative ways to improve their quality of life
We’re changing lives for a living
Are you ready to make a difference?The PositionLeads the execution of observational research studies through the hands-on analysis of real-world data and application of appropriate data science techniques under the minimal supervision of a group leader; studies support the aligned strategy (defined in the Evidence Generation Plan – EGP) spanning one therapeutic area.Uses both internal and external real-world data to generate unique disease insights and epidemiological information to improve patient care and support business needs
Drives innovation in RWD analytics by implementing new analytic methods, platforms and technologies to answer research and business questions, supporting data-driven decision making.Serves as subject matter expert on real world data sources, their utility and novel analytic methods
Develops and maintains strong internal networks across both NNI and relevant HQ functions such as Data Science, serving as a key contact point into the Clinical Data Science and Evidence (CDSE) Real World Evidence (RWE) team.RelationshipsThe Senior Manager reports directly to a Senior Director within the CDSE RWE team
This is a US affiliate role executing on US RWD strategy
There will be a number of contact points across NNI and some contact points into HQ, the latter primarily to ensure establishment and access to data sets and learnings on best practice working with that data.As a key and visible RWD champion in the US enterprise, he/she will work independently with minimum oversight and direction to conduct RWE studies, engage the broader NNI organization in the utilization of RWD, contribute to product evidence strategies, use of RWD and future investments in RWD.Essential FunctionsUse statistical software (Proficient in R; other software is a plus including SAS, Python, and Stata) to perform data manipulation and analysis consistent with protocols and/or statistical analysis plans related to real world data studies to support the NNI evidence generation plan
These studies will be traditional outcomes research studies, economic evaluations of medicines and will be aimed will target top tier journalsSubject matter expert for CDSE in terms of RWD sources and their potential utilizationDrives innovation across CDSE by implementing the most appropriate analytics techniques to address research questionsKeeps updated with newer analytic techniques and platforms, and their adaption into the real-world setting; implement these techniques / platforms and describe the rationale for their implementation in appropriate language for internal stakeholdersFind new ways to visualize and communicate data to drive a data driven organizationThrough ongoing interaction with HQ Data Science and related NNI data teams, drive the development of a data access strategy and sharing of best practiceResponsible for guiding the organization on all aspects of oversight of data acquisition to support the businessPhysical Requirements10-20% overnight travel required.QualificationsMaster’s degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD)At least 4 years of experience programming with R or Python in the Data Science field in a professional capacity; appropriate education may be substituted for years of experiencePharmaceutical industry experience preferredExperience working with U.S
longitudinal RWD assets (e.g., claims, electronic health records, and/or surveys)Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essentialHighly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferredPeer-reviewed publication track record is a plusCollaborative approach to problem-solving and ability to plan and multi-taskExcellent written and oral communication skillsProven results producing visualizations for analytical understanding and communication purposesExperience communicating advanced analysis and models to non-technical audiencesClear passion for using data to generate insights and enable data-driven decision makingWe commit to an inclusive recruitment process and equality of opportunity for all our job applicants.At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world
We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures
We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in
Together, we’re life changing.Novo Nordisk is an equal opportunity employer
Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at
1-855-411-5290
This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
