**Experienced Full Stack Data Analyst – Real-World Evidence (RWE) and Virtual Assistant**

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and medical research. As a leading player in the industry, we're committed to harnessing the power of data science and innovative technologies to drive meaningful insights and discoveries. We're now seeking an experienced Full Stack Data Analyst to join our team as an Information Researcher – RWE, where you'll play a critical role in shaping the future of healthcare research.

• *About arenaflex**

arenaflex is a pioneering organization that's dedicated to pushing the boundaries of what's possible in healthcare and medical research. With a strong focus on innovation and collaboration, we're bringing together the brightest minds from across the globe to tackle some of the most pressing challenges in the industry. Our team is passionate about using data science and advanced technologies to drive real-world evidence and inform decision-making.

• *Job Summary**

As an Information Researcher – RWE, you'll be responsible for creating genuine proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You'll work closely with our Clinical Trials team to develop and execute research studies that drive meaningful insights and discoveries. This is a full-time remote position, and you'll be working from the comfort of your own home, with the flexibility to work 8 hours a day.

• *Key Responsibilities**

• Mine crude information collections to convey normalized, examination prepared patient associates from in-house information resources or authorized stages, dissect and decipher results, and help shape examination procedure.
• Collaborate with different individuals from the arenaflex Clinical Preliminary colleagues to convey significant bits of knowledge from genuine world, clinical and different information sources to help biopharmaceutical RWE and clinical preliminary solicitations.
• Clean, change and store information into a coordinated information lake for future investigation and more extensive group utilization.
• Performs information mining and measurable examination to break down RWE/RWD to find new bits of knowledge in regards to patient populaces and treatment results.
• Upholds the improvement of certifiable information, examination and stage capacities, applying progressed investigation and instruments to resolve logical inquiries from biopharmaceutical organizations.
• Teams up on plan and execution of results research studies.
• Guarantees superior grade, thorough and promptly interpretable expectations from RWE review and examinations.
• Assembles dashboards, examination and reports for inner and outer utilization.
• Conducts an expected level of effort on new true information suppliers sellers and drive RWD quality evaluations to illuminate speculation choices.

• *Essential Capabilities**

• Experience in planning and executing strong and reproducible measurable examinations with regards to the study of disease transmission and observational exploration with medical care information.
• Information on normal factual testing methods including summed up straight models, arrangement and separation, choice trees, solo learning, time series examination and endurance investigation.
• 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 apparatuses.

• *Favored Capabilities**

• PhD, Graduate degree in, measurements/biostatistics, software engineering, math, frameworks designing, biomedical designing or related field.
• Mastery in EMR/Wellbeing IT, sickness libraries, and protection claims data sets.
• Skill 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 genuine proof examinations or clinical preliminaries (e.g., ISO, MDD/MDR, CFR).
• Experience chipping away at elective information sources and elective strategies for clinical information assortment, particularly those empowered by innovation stages as well as arrangements.
• Experience with exploratory plan, Bayesian demonstrating, consecutive information, computational measurements.
• Comprehension of measurements and AI techniques, capacity to proceed with self-learning of specialized and non-specialized abilities.

• *What We Offer**

• Competitive salary range of $20-30/hour.
• Flexible remote work arrangement, with the option to work from home.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technologies and tools.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.

• *How to Apply**

If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!