Data Scientist - Pharma

Data Scientist

Key Responsibilities :

- Categorise in headlines the key responsibilities that demonstrates the variety of roles that the organisation expects the position to fulfil

- Support, drive and develop data science solutions that can give new business insights impacting quality performance across Novo Nordisk

- Develop data structure, identify sources and secure data quality in the quality organisation and quality processes in cooperation with the NNQBI team

- Provide expert level Data Science and Data Analytics consultancy for the organisation (CVP area, Digital Quality and others)

- Provide inputs and support execution of strategy for Digital Quality.

Main job tasks :

- For each headline indicated above the job tasks should be described in more detail

- In general perceived as a role model throughout the organisation and recognized as an expert within field of expertise.

- Support, drive and develop Data science solutions that can give new business insights impacting quality performance across Novo Nordisk

- Develop Artificial Intelligence solutions such as natural language processing, Machine Learning applications to maximize utilization of data that drives continuous optimization of the Novo Nordisk quality performance.

- Analyse quality data and pilot/develop application to explore and Applies subject matter knowledge to solve common business issues. Later scaling to more areas or integrate in other systems.

- Help identify areas or processes where Artificial Intelligence solutions can create business value.

- Develop and maintain an IT platform to support data analysis and development and operationalization of data science solutions.

- Develop and maintain data structure, identify data sources and secure data quality in the quality organisation and quality processes

- Understand and design data structure in collaboration with process experts and data owners

- Identify unexploited data sources and include them in structure if relevant

- Investigate data quality and clean data where necessary

- Decide on which tools to use and explore

- Cooperate effectively with other data scientists in department (and adjacent areas)

- Provide Data Analytics consultancy for the organisation (CVP area, Digital Quality and others)

- Hereunder also drive the mindset of using data for decision making and teaching techniques to colleagues at all levels across the organisation

- Communicate effectively to colleagues with other backgrounds

- Provide inputs and support execution of strategy for Digital Quality

- Provide analysis and input on where to go with data science and what technology to use

Scope of Authority :

- Act as professional sparring partner for Manager/Director or CVP on data science matters.

- Planning and prioritize tasks within own area of responsibility.

Other areas of responsibility : Responsibilities as described in department responsibility split.

Communication and Stakeholder Interaction :

Key Stakeholders Type of Communication :

Internal stakeholders :

- Own department, CVP areas and SVP area

- Relevant internal stakeholders in CMC Development, PS and NNQ

- Product Supply

- Global IT

- Other NN digital organisations

- High degree of excellent stakeholder management skills is required

- Main communication is through meetings, teleconferences and mail correspondence.

- Translation of highly scientific complex content into clear and simple communication for management teams and project management groups

- Negotiation, collaboration and ability to provide convincing arguments within subject matter expert area across the functional area - also where there might be disagreements and ensure progress.

External Stakeholders :

- Occasionally negotiation with external parties

- Always represents NN the best possibly way with high professionalism and integrity when interacting with external stakeholders

Innovation and change :

- Mostly works independently, however may need occasional guidance from senior specialist on complex issues/challenges.

- Shares ideas and perspectives that add value, strive for simple solutions to complex challenges, challenge existing knowledge. Optimise existing technology and show problem solving attitude.

- Implementing changes can be across several CVP/SVP areas. It is required to have a flexible attitude and be able to cooperate with and motivate people with different background, nationality and personality in an enthusiastic way.

Geographic responsibility :

- Establish international visibility and interaction with the business globally.

- As an area specialist often included in cross-functional projects and/or often requirement to work internationally.

Knowledge, skills and experience : Minimum knowledge required to fulfil job responsibilities (not actual CV from candidate/employee)

Education :

Within relevant field of expertise :

- Masters with min 3 years relevant experience

- Bachelor with min 5 years relevant experience

Experience :

- Strong knowledge within field of expertise and broader business understanding across SVP area or in general pharma value chain

- Experience in supporting scientific projects/tasks and realizing their business value

Personal skills :

Provides professional direction :

- Scientific sparring partner to management

- Express ideas and knowledge effectively

Thinks above and beyond own area :

- Challenge and improve our processes based on value chain understanding

Leads the way :

- Influence others to help achieving organisational objectives

- Take co-responsibility for employee development and knowledge sharing

- Provide valuable feedback