Experienced Data Scientist – Remote Part-Time Data Entry Position at careerzynith

Join careerzynith's dynamic team as a part-time data scientist and contribute to the advancement of cutting-edge research and development in the clinical trials space.

About careerzynith

careerzynith is a leading healthcare organization dedicated to delivering innovative solutions and exceptional patient care. With a strong commitment to research and development, careerzynith is at the forefront of advancing medical knowledge and improving patient outcomes. As a part-time data scientist at careerzynith, you will have the opportunity to work with a talented team of professionals who share your passion for data-driven insights and clinical research.

Job Summary

We are seeking an experienced data scientist to join our team on a part-time basis. As a data scientist at careerzynith, 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 clinical research team to design and execute studies, analyze data, and provide actionable insights to inform business decisions.

Key Responsibilities

* Data Mining and Analysis: Mine crude information collections to convey normalized, examination prepared patient accomplices from in-house information resources or authorized stages, break down and decipher results, and help shape investigation procedure.

• Collaboration and Communication: Accomplices with different individuals from the careerzynith Clinical Preliminary colleagues to convey significant experiences from genuine world, clinical and different information sources to help biopharmaceutical RWE and clinical preliminary solicitations.
• Data Cleaning and Storage: Cleans, changes and stores information into a coordinated information lake for future investigation and more extensive group utilization.
• Research and Development: Performs information mining and factual examination to dissect RWE/RWD to find new experiences in regards to patient populaces and treatment results.
• Project Management: Upholds the improvement of genuine information, examination and stage abilities, applying progressed investigation and apparatuses to resolve logical inquiries from biopharmaceutical organizations.
• Reporting and Visualization: Assembles dashboards, investigation and reports for interior and outer utilization.
• Quality Assurance: Conducts an expected level of effort on new true information suppliers merchants and drive RWD quality evaluations to illuminate venture choices.

Essential Qualifications

* Education: Bachelor's degree in a relevant field (e.g., computer science, statistics, mathematics, or a related field).

• Experience: 2 years of experience with R, Python, or SQL.
• Skills: Experience in planning and executing powerful and reproducible measurable examinations with regards to the study of disease transmission and observational exploration with medical care information.
• Knowledge: Familiarity with normal measurable testing strategies including summed up direct models, arrangement and separation, choice trees, solo learning, time series investigation and endurance examination.
• Handling Large Data Sets: Experience handling enormous information from different information sources.
• Data Security: Experience taking care of safeguarded patient wellbeing data.
• Business Intelligence Tools: Familiarity with at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI insight devices.

Preferred Qualifications

* EMR/Health IT: Mastery in EMR/Wellbeing IT, sickness libraries, and protection claims data sets.

• Clinical Data Principles: Aptitude in clinical information principles, clinical phrasings and controlled vocabularies utilized in medical care information and ontologies (ICD9/10/ReadCode).
• GCP and Regulatory Compliance: Experience in Great Clinical Practice (GCP) and additionally administrative consistence rules for genuine proof examinations or clinical preliminaries (e.g., ISO, MDD/MDR, CFR).
• Alternative Data Sources: Experience dealing with elective information sources and elective techniques for clinical information assortment, particularly those empowered by innovation stages and additionally arrangements.
• Trial Design and Bayesian Modeling: Experience with trial plan, Bayesian demonstrating, consecutive information, computational insights.
• Insights and AI: Comprehension of insights and AI strategies, capacity to proceed with self-learning of specialized and non-specialized abilities.

What We Offer

* Competitive Salary: $27/hour

• Flexible Work Schedule: Part-time position with flexible work hours
• Opportunities for Growth: Career growth opportunities and learning benefits
• Collaborative Work Environment: Collaborative and dynamic work environment with a talented team of professionals
• Benefits Package: Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply

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