Experienced Data Scientist – Real-World Evidence (RWE) Research and Analysis

At arenaflex, we are committed to harnessing the power of data science to drive innovation and improve patient outcomes. As a leading organization in the healthcare industry, we are seeking an experienced Data Scientist to join our team and contribute to the development of real-world evidence (RWE) research and analysis.

About arenaflex

arenaflex is a pioneering organization that is revolutionizing the way healthcare data is collected, analyzed, and utilized. Our mission is to empower healthcare professionals with actionable insights that inform decision-making and improve patient care. With a strong focus on innovation and collaboration, we are shaping the future of healthcare data science.

Job Summary

The Data Scientist – RWE Research and Analysis will be responsible for producing high-quality, certifiable proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. This role will be a vital part of the arenaflex Clinical Research team and will work closely with cross-functional teams to develop and implement data-driven solutions.

Key Responsibilities

* Mine crude information indexes to convey normalized, examination prepared patient companions from in-house information resources or authorized stages, break down and decipher results, and help shape investigation methodology.

• Collaborate with different individuals from the arenaflex Clinical Preliminary colleagues to convey noteworthy experiences from genuine world, clinical and different information sources to help biopharmaceutical RWE and clinical preliminary solicitations.
• Cleans, changes and stores information into an incorporated information lake for future investigation and more extensive group utilization.
• Performs information mining and measurable examination to dissect RWE/RWD to find new experiences in regards to patient populaces and treatment results.
• Upholds the improvement of genuine information, investigation and stage capacities, applying progressed examination and apparatuses to resolve logical inquiries from biopharmaceutical organizations.
• Works together on plan and execution of results research studies.
• Guarantees superior grade, thorough and promptly interpretable expectations from RWE review and investigations.
• Constructs dashboards, investigation and reports for inner and outside utilization.
• Conducts a reasonable level of effort on new certifiable information suppliers sellers and drive RWD quality evaluations to illuminate venture choices.

Essential Capabilities

* Experience in planning and executing hearty and reproducible factual examinations with regards to the study of disease transmission and observational exploration with medical services information.

• Information on normal factual testing methods including summed up direct models, grouping and separation, choice trees, unaided learning, time series investigation and endurance examination.
• Experience handling enormous information from different information sources.
• Experience taking care of safeguarded patient wellbeing data.
• Information on no less than one of the accompanying: Scene, Power Bi, Alteryx, Spotfire, or other BI insight devices.

Favored Capabilities

* PhD, Graduate degree in, measurements/biostatistics, software engineering, arithmetic, frameworks designing, biomedical designing or related field.

• Skill in EMR/Wellbeing IT, sickness vaults, and protection claims data sets.
• Ability in clinical information norms, clinical phrasings and controlled vocabularies utilized in medical services information and ontologies (ICD9/10/ReadCode).
• Experience in Great Clinical Practice (GCP) as well as administrative consistence rules for certifiable proof examinations or clinical preliminaries (e.g., ISO, MDD/MDR, CFR).
• Experience chipping away at elective information sources and elective techniques for clinical information assortment, particularly those empowered by innovation stages and additionally arrangements.
• Experience with exploratory plan, Bayesian displaying, consecutive information, computational insights.
• Comprehension of insights and AI techniques, capacity to proceed with self-learning of specialized and non-specialized abilities.

What We Offer

* Competitive salary of $26/hour

• Opportunity to work with a leading organization in the healthcare industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health, dental, and vision insurance
• Generous paid time off and holidays
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced data scientist looking to join a dynamic team, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job