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Data Scientist - RWE - Europe

Remote: 
Full Remote
Contract: 
Full time
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 a Data Scientist, focusing on real-world evidence (RWE) and healthcare..

Key responsabilities:

  • Identify and define analytical problems in RWE, develop data-driven solutions.
  • Design statistical models, preprocess data, apply machine learning algorithms for pattern extraction.
Luminary Group logo
Luminary Group Startup https://luminarygroup.co.uk/
2 - 10 Employees
About Luminary Group
Luminary Group is a Global Executive Search and Headhunting business specialising within the Life Sciences and Pharmaceutical space, headquartered in Broadgate Tower, 20 Primrose Street, EC2A 2EW, London. Finding premium candidates globally. We specialise in the Pharmaceutical, Biotechnology, CDMO, CRO & Medical Devices disciplines with local expertise and specialist knowledge. Specifically headhunting candidates for specialist roles across Board, Executive, Commercial, Operations, Medical, IT and Finance. With global coverage across USA, Europe, APAC, and Middle East, we pride ourselves in both our outstanding talent pool (ranging from C-Suite to Manager level) and our returning clients who work with us exclusively. Partnered with the best, and most exciting, companies ranging from Corporate to Start-Up businesses. We are Luminary. You are Luminary.
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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data MiningStatistical ModelingR (Programming Language)SQL (Programming Language)Machine LearningPower BITableau (Business Intelligence Software)Python (Programming Language)

Other Skills

  • Verbal Communication Skills
  • Problem Solving
  • Organizational Skills
  • Analytical Skills
Are you interested?

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