Experienced Full Stack Data Scientist – Clinical Trials and Real-World Evidence (RWE) Research
About the Role We are seeking an experienced and highly skilled Full Stack Data Scientist to join our team at Workwarp, a leading organization in the healthcare industry. As a Data Scientist, you will play a critical role in creating Certifiable Proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You will be an integral part of our Logical Issues team and will be responsible for leading refined data analysis to address key business questions. About the Company Workwarp is a dynamic and innovative organization that is committed to delivering high-quality solutions in the healthcare industry. We are passionate about using data science and technology to drive business growth and improve patient outcomes. Our team is comprised of experienced professionals who are dedicated to delivering exceptional results and making a meaningful impact in the industry. Job Summary Key Responsibilities As a Full Stack Data Scientist, you will be responsible for the following key responsibilities: Mining crude information datasets to convey normalized, examination prepared patient partners from in-house information resources or authorized stages, dissect and decipher results, and help shape examination system. Collaborating with different individuals from the Walgreens Clinical Preliminary colleagues to convey significant 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 bits of knowledge with respect to patient populaces and treatment results. Upholds the improvement of certifiable information, examination and stage abilities, applying progressed investigation and devices 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 inward and outer utilization. Conducts a reasonable level of effort on new certifiable information suppliers merchants and drive RWD quality evaluations to illuminate speculation choices. Essential Capabilities To be successful in this role, you will need to possess the following essential capabilities: 3 years of involvement with R, Python, or SQL. Experience in planning and executing vigorous and reproducible measurable examinations with regards to the study of disease transmission and observational exploration with medical care information. Information on normal measurable testing procedures including summed up direct models, arrangement and segregation, choice trees, solo 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 something like one of the accompanying: Scene, Power Bi, Alteryx, Spotfire, or other BI insight apparatuses. Favored Capabilities While not essential, the following favored capabilities would be beneficial for this role: Ability in EMR/Wellbeing IT, illness vaults, and protection claims data sets. Skill in clinical information principles, clinical wordings and controlled vocabularies utilized in medical care information and ontologies (ICD9/10/ReadCode). Experience in Great Clinical Practice (GCP) or potentially 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 trial plan, Bayesian demonstrating, 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 As a Full Stack Data Scientist at Workwarp, you will have the opportunity to work on a wide range of projects and contribute to the development of innovative solutions in the healthcare industry. We offer a competitive salary and a comprehensive benefits package, including: A competitive salary of $26/hour. A comprehensive benefits package, including medical, dental, and vision insurance. A 401(k) retirement plan with company match. Flexible work arrangements, including remote work options. Opportunities for professional development and growth. 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