**Experienced Data Scientist – Real-World Evidence 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 player in the healthcare industry, we are seeking an experienced Data Scientist to join our team of experts in Real-World Evidence (RWE) research and analysis. This is an exciting opportunity to work with cutting-edge technologies and methodologies to produce high-quality RWE and inform business decisions.

• *About arenaflex**

arenaflex is a leading healthcare company dedicated to improving patient outcomes through innovative solutions. With a strong presence in the industry, we are committed to harnessing the power of data science to drive business decisions and improve patient care. Our team of experts is passionate about using data to tell stories and drive change.

• *Job Summary**

We are seeking an experienced Data Scientist to join our team of experts in RWE research and analysis. As a Data Scientist, you will be responsible for producing high-quality RWE through advanced research and analysis methodologies. You will work closely with our team of experts to design and execute studies, analyze data, and develop insights that inform business decisions.

• *Key Responsibilities**

• Mine crude informational 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.
• Accomplices 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 cutting-edge technologies and methodologies
• Collaborative and dynamic work environment
• Opportunities for career growth and professional development
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• Flexible work arrangements, including remote work options

• *How to Apply**

If you are a motivated and experienced Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

• *arenaflex is an equal opportunity employer and welcomes applications from diverse candidates.**