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Data Scientist - Real World Evidence - Europe

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Europe

Offer summary

Qualifications:

Bachelor's degree in data science, computer science, statistics or related field; advanced degree preferred., Minimum 3 years experience as Data Scientist, preferably with focus on real-world evidence (RWE) and healthcare industry., Strong knowledge of data mining, statistical modeling, and machine learning algorithms., Proficiency in Python or R for data manipulation, usage of Tableau or Power BI for data visualization., Solid understanding of database systems, SQL, analytical skills, and ability to find insights in complex datasets..

Key responsabilities:

Define analytical problems related to real-world evidence (RWE) and develop data-driven solutions.
Implement data mining, statistical modeling techniques and preprocess large-scale real-world data.
Apply machine learning algorithms to extract valuable patterns and develop predictive models.
Collaborate with cross-functional teams to interpret analysis findings and stay updated with latest data science advancements.
Utilize data visualization techniques to communicate analysis results effectively and contribute in developing data-driven products for healthcare industry.

Luminary Group Startup https://luminarygroup.co.uk/

2 - 10 Employees

See more Luminary Group offers

Job description

Luminary Group is partnering with a leading life science company in their search for a talented and experienced Data Scientist with expertise in Real-World Evidence (RWE). As a Data Scientist, you will play a crucial role in analyzing and interpreting real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry.

Responsibilities:

Identify and define analytical problems related to real-world evidence (RWE) and develop appropriate data-driven solutions.
Design and implement data mining and statistical modeling techniques to analyze complex RWE datasets.
Preprocess and clean large-scale real-world data to ensure quality and integrity.
Apply machine learning algorithms and techniques to extract meaningful patterns and insights.
Develop predictive models to forecast outcomes and trends based on real-world data.
Collaborate with cross-functional teams to interpret and communicate analysis findings to stakeholders.
Stay up-to-date with the latest research and advancements in data science and real-world evidence.
Implement data visualization techniques to effectively communicate analysis results.
Participate in the development of data-driven products and solutions for the healthcare industry.

Requirements

Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred.
Minimum of 3 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry.
Strong knowledge of data mining, statistical modeling, and machine learning algorithms.
Proficiency in programming languages such as Python or R for data manipulation and analysis.
Experience with data visualization tools, such as Tableau or Power BI.
Solid understanding of database systems and SQL for data querying and manipulation.
Strong analytical and problem-solving skills, with the ability to find insights in complex datasets.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with healthcare data and familiarization with healthcare data standards is a plus.
Understanding of regulatory requirements and ethics related to data analysis in healthcare.