岗位职责和要求
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The Data Analyst is responsible for the curation, visualization and reporting of data from clinical research and data from digital health tech service. He or she will also be responsible for supporting the dadigital product & digital capability Sr. manger in management of external vendors regarding the data management activities of a clinical study, Real world data, consumer health data etc.
Responsibilities include:
In research projects: • Coordination in the preparation, execution and data management /analysis phase. • Support and advice with selection of third parties (CRO’s, Databases, etc) involved in the data management activities research projects. • Oversee the Data Management services of the CRO and monitor quality of these services. • Review of study documents related to (eCRFs, ediary, data warehouse etc.) • Coordinate the process of data management and statistical analyses. • Leverage Gen AI to improve efficiency of data analyses.
In digital health service (direct to consumer/patient/hcp) :
For the strategic evidence department: • Guide the strategic evidence team on innovative , processes for data interpretation • Advise the team leader on roadmaps, guidance and efficiencies for the team • Co-build strategic evidence programs , develop capabilities and implementing necessary agentic both for projects in a classical set-up as well as Real World Evidence (RWE) projects Leverage Gen AI to improve efficiency of data analyses.
The Data Interpreter is expected to show clear leadership, have a pro-active approach, able to work independently and can clearly guide the strategic evidence team on innovative tools, processes for data interpretation. |
Functional Competency
- Strong Data Analytical skills in the (bio- Health) pharmaceutical, medical devices or nutrition industry.
- Knowledge of GCP guidelines and local regulation and legislation for clinical studies/RWE
- understanding clinical research, including phase II, phase III, phase IV study and investigator initiated study
- Excellent project management and communication and data visualization skills, leverage AI to accelerate efficiency
- Able to interact with a multidisciplinary project team and with all other external parties involved
- Knowledge of clinical research methodology and statistics; knowledge of systems biology will be a plus
- Good leadership, interpersonal skills and good teamwork
- Able to share knowledge and advices with team members
Leadership
· Lead with people to drive data generate evidence and claims
· Learn fast, grasps the essence of nutritionand science behind nutritional products.
· Embraces the ideas of others, nurtures innovation and manages innovation to reality
· Ability to innovate and solve challenges with unique approaches
· Fluent in spoken and written English and delivering presentations
· Ability drives short team quick win and long-term vision and be adaptable to the changing needs of the business
And skills:
· Open minded
· Critical thinking and problem solving (can-do mentality)
· Project management Initiative and self-motivation
· Influencing
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· Project driver
Networking
Relevant experience
• At least 5 years [EMJ1] [LM2] of experience in clinical research, primarily compromising of clinical data management/ data analysis activities within clinical research of the pharmaceutical industry, food or academic research
• Experienced in Data management or data analytics.
• Excellent communication and networking skills to interact with a multidisciplinary team at Danone and with all other external parties involved.
Preferences:
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• Knowledge of Nutrition science,
• Experienced on health data interpretation project related to studies and RWE
• Experience with AI, algorithm- or machine learning, LLM application, agentic
• Professional experience around maternal & child healthcare nutrition or data analytics in the health field
