Experienced Full Stack Data Analyst – Real-World Evidence (RWE) and Clinical Trials

• *Join careerzynith, a leading healthcare company, in a dynamic role that combines data analysis, clinical research, and business acumen to drive innovation and growth.**

• *About careerzynith**

careerzynith is a pioneering healthcare company that is revolutionizing the way healthcare is delivered and managed. With a strong commitment to innovation, careerzynith is at the forefront of developing cutting-edge solutions that improve patient outcomes, enhance clinical research, and drive business growth. As a leader in the healthcare industry, careerzynith is dedicated to fostering a culture of collaboration, creativity, and excellence.

• *Job Summary**

We are seeking an experienced Full Stack Data Analyst to join our Clinical Trials team. As a key member of our team, you will be responsible for creating Real-World Evidence (RWE) through advanced research and innovative methodologies in the clinical trials space. You will work closely with our Clinical Trials colleagues to deliver valuable insights from genuine world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.

• *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 careerzynith Clinical Trials colleagues to convey significant bits of knowledge from genuine world, clinical, and different information sources to help biopharmaceutical RWE and clinical trial solicitations.
• Clean, change, and store information into a coordinated information lake for future investigation and more extensive group utilization.
• Perform information mining and measurable examination to break down RWE/RWD to find new bits of knowledge in regards to patient populaces and treatment results.
• Uphold the improvement of certifiable information, examination, and stage capacities, applying progressed investigation and instruments to resolve logical inquiries from biopharmaceutical organizations.
• Team up on plan and execution of results research studies.
• Guarantee superior grade, thorough, and promptly interpretable expectations from RWE review and examinations.
• Assemble dashboards, examination, and reports for inner and outer utilization.
• Conduct 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.
• Opportunity to work with a dynamic and innovative team.
• Collaborative work environment with a focus on excellence and creativity.
• 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.
• Flexible work arrangements, including remote work options.

• *How to Apply**

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application, including your resume and cover letter, to [careerzynith careers page](https://careerzynith.com/careers). We look forward to hearing from you!

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