Experienced Full Stack Data Analyst – Clinical Research and Evidence Generation

At careerzynith, we are committed to revolutionizing the way we approach healthcare and medical research. As a leading player in the industry, we are constantly seeking talented individuals who share our passion for innovation and excellence. We are excited to announce an exciting opportunity for an Experienced Full Stack Data Analyst to join our Clinical Research and Evidence Generation team. About careerzynith careerzynith is a pioneering healthcare company that is dedicated to improving patient outcomes through cutting-edge research and innovative solutions. Our team of experts is passionate about harnessing the power of data to drive meaningful insights and inform decision-making. With a strong commitment to excellence and a culture of collaboration, we are shaping the future of healthcare and medical research. Job Summary We are seeking an Experienced Full Stack Data Analyst to join our Clinical Research and Evidence Generation team. As a key member of our team, you will be responsible for creating genuine proof (RWE) through advanced research and innovative methodologies in the clinical trials space. You will work closely with our team of experts to design and execute robust and reproducible statistical analyses, leveraging your expertise in data mining and machine learning to uncover new insights and drive business decisions.

Key Responsibilities

As an Experienced Full Stack Data Analyst, you will be responsible for

• Mining 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.
• Collaborating with different individuals from the careerzynith 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.
• Cleans, changes and stores 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 To be successful in this role, you will need
• 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.
• Knowledge of 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.
• Knowledge of no less than one of the accompanying Scene, Power Bi, Alteryx, Spotfire, or other BI insight apparatuses. Favored Capabilities While not essential, the following capabilities would be highly desirable
• 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

As a member of our team, you can expect

• A competitive salary range of $20-30/hour.
• A dynamic and collaborative work environment.
• Opportunities for career growth and professional development.
• A comprehensive benefits package, including health insurance, retirement savings, and paid time off.
• A flexible work schedule, with the option to work remotely.
• Access to cutting-edge technology and tools.
• A culture of innovation and excellence.

How to Apply

If you are a motivated and talented individual who is passionate about data analysis and clinical research, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you! Apply Job! Apply for this job