Post-doc/Data Scientist in Healthcare Data Predictive Modelling
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Are you looking for your next move as a post-doc? Would you like to use your knowledge of Real-World Data? Do you want to be part of the innovation of Drug Development? If yes, join us as Post-Doc Data Scientist in the Real-World Science - Diabetes Department. Apply now!
The Position This position is part of a larger project aiming to develop a simulation tool for predicting outcomes of chronic diseases like diabetes and obesity, as well as assessing the effects of treatment. The project involves three post-docs/data scientists collaborating with specialists in data science, modelling sciences, and medical sciences. It may also involve partnerships with external organizations and universities. In this role, you will work with survival analysis, regression, and machine learning techniques, and help create and validate models for drug development. You'll collaborate with other post-docs and data scientists on various aspects of the project. The tool will be used to inform drug development at various stages and will benefit from guidance from experts with diverse backgrounds. You'll also have access to powerful computing resources. The tool's applications include influencing clinical trial design, asset prioritization, communication with scientists and payers, and aiding treatment decisions for physicians and patients. You will be a part of Novo Nordisk's Real-World Science Diabetes Department and focus on this project exclusively. Your tasks are to: Build prediction models for short and long-term outcomes based on real-world data (RWD) and clinical trial data (CTD).
Be creative and diligent in your approaches across survival analysis, regression and machine learning to drive change in clinical drug development.
Deliver the tool through continuous deployment, APIs, interactive application, and ad-hoc information to key stakeholders
Develop practices for validating models and assessing predictor knowledge across populations and subgroups
Actively collaborate with project participants to execute the tasks within the project.
Write scientific publications to document the tool and your findings.
Travel requirements involve occasional overnight trips, typically in the range of 0-10%. These trips primarily relate to attending congresses and conferences. Qualifications A master’s degree in natural or computer sciences, engineering, physics, mathematics, statistics or similar. A PhD or equivalent degree in a related subject or equivalent experience from research and/or development. Relevant experience includes: Strong programming skills and experience writing advanced, well-performing and maintainable code in R or Python
Experience in developing, validating, and presenting prediction models based on healthcare data
Experience across multiple disciplines relevant to this, i.e., regression models, survival analyses, machine learning, and ensembling methods.
Experience working with real-world data or clinical trial data
Experience in programming in version-controlled systems such as Git.
Good written and oral communication skills
Able to work in collaborative projects and sometimes under strict deadlines
Preferred experience includes: Experience with completing or participating in scientific publications
Detail oriented with strong documentation skills
Experience in deploying models through APIs, version-controlling models, documenting model experiments
Experience in deep learning frameworks, dimensionality reduction and approaches to missing data
Experience developing interactive software or dashboards used by others, e.g., Shiny or Streamlit
About the Department In the Development area of Novo Nordisk, we are responsible for managing clinical product development worldwide from early development phases to product launch and beyond. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations, and business ethics. The Real-World Science - Diabetes Department is part of Novo Nordisk Data Science. In Real-World Science - Diabetes we provide insights and evidence based on statistical analysis of Real-World Data (RWD) to support decision making and evidence generation throughout product development in Novo Nordisk. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior RWD based insights that empower Novo Nordisk to further develop and deliver life-changing products. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and methods.
Working at Novo Nordisk At Novo Nordisk, we don’t wait for change. We drive it. We are a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing, and sales – we are all working to move the needle on patient care. Employment duration and placement This is a limited term position for 3 years starting from 1 January 2024 or as soon as possible thereafter. You will be based in Søborg, Denmark. Contacts For any further information please reach out Gregers Stig Andersen, Manager at [email protected] Deadline 5 November 2023. Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified. You do not need to attach a cover letter to your application, but please include a few lines about your motivation in your resume or CV. Please assist us in maintaining a fair and inclusive selection process by not attaching a photo to your application. We 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.
The Position This position is part of a larger project aiming to develop a simulation tool for predicting outcomes of chronic diseases like diabetes and obesity, as well as assessing the effects of treatment. The project involves three post-docs/data scientists collaborating with specialists in data science, modelling sciences, and medical sciences. It may also involve partnerships with external organizations and universities. In this role, you will work with survival analysis, regression, and machine learning techniques, and help create and validate models for drug development. You'll collaborate with other post-docs and data scientists on various aspects of the project. The tool will be used to inform drug development at various stages and will benefit from guidance from experts with diverse backgrounds. You'll also have access to powerful computing resources. The tool's applications include influencing clinical trial design, asset prioritization, communication with scientists and payers, and aiding treatment decisions for physicians and patients. You will be a part of Novo Nordisk's Real-World Science Diabetes Department and focus on this project exclusively. Your tasks are to:
Working at Novo Nordisk At Novo Nordisk, we don’t wait for change. We drive it. We are a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing, and sales – we are all working to move the needle on patient care. Employment duration and placement This is a limited term position for 3 years starting from 1 January 2024 or as soon as possible thereafter. You will be based in Søborg, Denmark. Contacts For any further information please reach out Gregers Stig Andersen, Manager at [email protected] Deadline 5 November 2023. Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified. You do not need to attach a cover letter to your application, but please include a few lines about your motivation in your resume or CV. Please assist us in maintaining a fair and inclusive selection process by not attaching a photo to your application. We 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.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Søborg.
Jobbet er oprettet på vores service den 13.10.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Søborg
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