MIMIC Clinical Data Analyst

@AwaisChaudhry

Hello, I will translate your ICU study needs into clean, analysis-ready MIMIC datasets. I have hands-on experience with MIMIC-III and MIMIC-IV on PhysioNet, pulling from Meds, diagnoses, procedures, labs, and vitals, and linking across encounters via patient and stay identifiers to create reproducible cohorts. My approach is to build robust SQL pipelines to fetch raw rows, clean and harmonize units and timestamps, flag implausible values, and derive clinically meaningful variables (severity scores, exposure windows, composite outcomes). I will perform univariate and multivariable analyses in R or Python, with thorough documentation of assumptions and bias considerations, ensuring each step is reproducible and defensible for publication. The deliverable will be a fully cleaned analytic dataset, accompanying scripts, and an outline of the statistical approach, ready for manuscripts and future questions. Please confirm the full data scope and MIMIC version, definitions for key variables (severity scores, exposure windows, outcomes), preferred handling of timing and unit harmonization, reproducibility standards and documentation requirements, and the expected deliverables and format for manuscript integration.

@ShaikhAneesa

Hello, I have reviewed your project requirements and understand that you need an experienced analyst to extract, clean, and structure ICU data from MIMIC-III and MIMIC-IV for multiple retrospective studies. With extensive experience in EHR data, SQL, and both Python and R, I can handle the full pipeline from raw table extraction to analysis-ready cohorts while ensuring reproducibility and clinical defensibility. My approach begins with writing robust SQL queries to extract and link data across Meds, Diagnoses, Procedures, Labs, and Vitals tables using patient and hospital-stay identifiers. I will then clean and preprocess the data, resolve timestamp and unit inconsistencies, and derive clinically meaningful variables such as severity scores and medication exposure windows. Analyses will be conducted using tidyverse in R or pandas in Python, with thorough documentation and reproducible scripts for every step. I will also prepare an outline of the statistical approach and short interpretive notes suitable for manuscript inclusion. Could you provide the list of target variables and study outcomes so I can begin structuring the extraction and preprocessing plan immediately? Lets chat and discuss further! Best Regards, Aneesa

@hireageek

Hi there, I understand that you are seeking a proficient analyst for your retrospective ICU studies using MIMIC-III and MIMIC-IV. With extensive experience in data extraction, preprocessing, and analysis, I'm well-equipped to handle the complexities of pulling and stitching raw tables from various sources. My background in clinical data analysis ensures that every step I take is reproducible and clinically defensible, aligning perfectly with your project goals. I have robust skills in SQL as well as proficient use of R and Python for running univariate and multivariable analyses—ensuring that your studies will provide credible insights. My hands-on experience in observational study design and familiarity with EHR characteristics will help streamline our communication and enhance project outcomes. I’m ready to start creating that cleaned analytic dataset right away. Let's discuss your specific requirements and move forward together! What are the specific timeframes you envision for initial deliverables and potential follow-up analyses?

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, SQL, Statistics, Database Administration, Statistical Analysis, SPSS Statistics, Data Extraction, Data Analysis and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@Feriver

Hello, I understand you’re looking for a clinical data analyst who is genuinely comfortable working inside MIMIC-III and MIMIC-IV, from raw table extraction through to reproducible, manuscript-ready analyses. I have hands-on experience building ICU cohorts from MIMIC on PhysioNet, linking high-volume tables via subject, admission, and stay identifiers, and transforming complex EHR data into clean, defensible analytic datasets suitable for retrospective research. My workflow is fully reproducible and aligned with best practices in observational study design. On a day-to-day basis, I work directly with core MIMIC tables—diagnoses, procedures, medications, labs, vitals, and charted events—using structured SQL queries and careful joins to ensure cohort integrity. I handle common EHR challenges such as unit harmonization, timestamp alignment, implausible value filtering, and missingness. I also derive clinically meaningful features, including exposure windows, severity scores, and composite outcomes, with clear documentation of assumptions and limitations. Analysis is conducted in R (tidyverse) or Python (pandas) depending on project needs, with univariate and multivariable modeling that adapts as study questions evolve. You will receive a fully cleaned analytic dataset, all extraction and processing scripts, and a concise outline of the statistical approach, ready to extend into manuscripts or sensitivity analyses. Thanks Asif

@mykhaylob4

✋ Hi there. I can help transform your raw MIMIC-III and MIMIC-IV ICU datasets into clean, analysis-ready cohorts while ensuring clinical validity and reproducibility throughout your studies. ✔️ I have extensive experience working directly with PhysioNet MIMIC datasets, performing SQL extraction across medications, labs, diagnoses, procedures, and vitals, then linking data via patient and hospital-stay identifiers. In prior projects, I built fully cleaned analytic datasets, derived severity scores, exposure windows, and composite outcomes, and ensured all steps were reproducible in Python (pandas) and R (tidyverse). ✔️ For your studies, I will extract, clean, and preprocess your high-dimensional EHR data, resolve timestamp and unit discrepancies, and flag implausible values. I will also create clinically meaningful variables, support univariate and multivariable analyses, and document assumptions and potential confounders in a reproducible workflow. ✔️ I will deliver well-documented scripts, a fully cleaned dataset, and a clear outline of the statistical approach so your results are defensible and ready for manuscript integration. Let’s chat to review your study questions, dataset access, and timelines for cohort creation. Best regards, Mykhaylo

@devbaloni1983

Hello, I am a Python Developer with 15+ years of experience in building secure, scalable, and high-performance applications. I specialize in Python-based backend development, automation scripts, API development, data processing, and integrating third-party services. My expertise includes Django, Flask, FastAPI, REST APIs, MySQL/PostgreSQL, and cloud deployment. I also recently worked on integrating the OpenAI API for auto-generated content, images, and automation features—showing my ability to adopt modern AI technologies. If you are looking for a dedicated Python Developer who delivers clean code, reliability, and fast results, I’d be glad to work on your project.

@qualityxenter

Affordable, Early Delivery. ★★★★★★★★★★★★★★I hold a Masters degree which gives me the requisite background to handle writing from various subjects. I am a highly committed person towards my work. You can rely on QualityXenter for quality and consistency in writing. We never violate copyright rules. I have vast amount of experience in this industry since I am working from 2015 as a professional writer. I provide many modifications till to get your satisfactions. I have access to enough journals to use in your research project. I always produce quality work at VERY LOW RATES so, don't worry if you have a low budget for your work, I will be very happy to make a new client like you. I am producing quality work for my clients including ARTICLE WRITING, REPORT WRITING, ESSAY WRITING, RESEARCH PAPERS, BUSINESS PLAN, TECHNICAL WRITING, MATLAB, THESIS, ACCOUNTING & FINANCE work ETC. Go through my profile link https://www.freelancer.com/u/qualityxenter

@wilfrednjorog

Hi, I’m excited about the opportunity to work on your retrospective ICU studies using MIMIC-III and MIMIC-IV. My solid experience in SQL and data management uniquely positions me to extract and link your data seamlessly, ensuring each step is reproducible and clinically sound. I'll derive clinically relevant variables and run analyses with precision, continuously adapting to evolving research questions. Rest assured, the end product will be a thoroughly cleaned analytic dataset, accompanied by detailed scripts and documentation. Best regards,

@revival786

Greetings! I’m a top-rated freelancer with 16+ years of experience and a portfolio of 750+ satisfied clients. I specialize in delivering high-quality, professional data analysis services tailored to your unique needs. Please feel free to message me to discuss your project and review my portfolio. I’d love to help bring your ideas to life! Looking forward to collaborating with you! Best regards, Revival

@KirtikaKataria

Hi there, I understand you need an analyst with hands-on experience in MIMIC-III and MIMIC-IV to extract, clean, and transform ICU data into reproducible, analysis-ready cohorts. The goal is not just pulling tables, but producing clinically defensible datasets and analyses that feed directly into manuscripts. My approach would be to extract relevant rows from Meds, Diagnoses, Procedures, Labs, and Vitals tables, then link them reliably across encounters using patient and hospital-stay identifiers. I will clean and preprocess high-dimensional data, flag implausible values, resolve unit/time inconsistencies, and derive clinically meaningful variables such as severity scores, medication exposure windows, and composite outcomes. Analyses will be performed in R (tidyverse) or Python (pandas/pySpark), with univariate and multivariable models iteratively adapted to study questions. All assumptions, potential confounders, and preprocessing decisions will be fully documented. Deliverables: A fully cleaned analytic dataset, reproducible SQL and R/Python scripts, and an outline of the statistical approach suitable for manuscript inclusion. QUESTION: Should derived variables and exposure windows strictly follow established MIMIC-standard definitions, or is there flexibility to adapt them to your specific ICU study questions? If you want precise, reproducible ICU cohort datasets with fully documented pipelines, I’m ready to start immediately. Regards, Shehwani.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for MIMIC Clinical Data Analyst. I am an experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@AbhishekSingh08

I am an experienced clinical data analyst with hands-on expertise in MIMIC-III and MIMIC-IV (PhysioNet), focusing on reproducible ICU-based observational research. I routinely work directly with raw MIMIC tables (admissions, icustays, labs, meds, procedures, vitals) and reliably link data across subject_id, hadm_id, and stay_id to build clean, analysis-ready cohorts. Approach & Skills Advanced SQL extraction from core MIMIC tables with defensible cohort definitions Robust table stitching across encounters and ICU stays Data cleaning: unit harmonization, timestamp alignment, outlier detection, and plausibility checks Derivation of clinically meaningful variables (SOFA/SAPS, exposure windows, time-to-event outcomes) Statistical analysis in R (tidyverse) and Python (pandas/statsmodels) Clear documentation of assumptions, confounding, and bias for manuscript-ready methods Deliverables Fully cleaned analytic dataset Reproducible SQL + R/Python scripts Concise statistical analysis plan with sensitivity analysis outline I bring strong grounding in observational study design, epidemiology, and EHR-specific biases, with a workflow designed for transparency and reproducibility. I am interested in a long-term collaboration as new ICU research questions evolve.

@monyonchoc

As a seasoned data analyst and statistician, I have honed my skills in transforming raw, complex datasets into insightful analyses. I am a true problem-solver and have rich experience in working on substantial medico-datasets such as MIMIC-III and MIMIC-IV. This mastery in data management and efficient SQL querying, coupled with my proficiency in Python (pandas) and R (tidyverse), enables me to extract, clean, preprocess, link patient data across encounters, generate relevant variables, conduct univariate and multivariable analyses, ensuring that every step is both clinically defensible and rigorously reproducible. Beyond my technical proficiency, I also bring a holistic approach to these studies. With a background in Medicine and Public Health, I have gained valuable insights into the intricacies of EHRs and can effectively address potential confounding factors while delivering comprehensive yet concise interpretations for your manuscripts.

@lakshithap1

As an experienced programmer with over 8 years in the field, I have developed a deep understanding of data management and analysis which I believe aligns perfectly with your MIMIC Clinical Data Analyst project. My solid grounding in both SQL and Python, coupled with my proficiency in using tidyverse/R or pandas/pySpark, puts me in a strong position to carry out the critical tasks of extracting rows and tables from MIMIC, cleaning and preprocessing high-dimensional data, as well as deriving meaningful variables for subsequent analysis. Over my career, I've built advanced workflows for various purposes including chatbots, mobile app development and business process automation. This experience has honed my skills at crafting reproducible, well-documented scripts that produce reliable results - a quality you clearly value in a candidate. I’d love to leverage my skills to deliver your immediate requirement of a fully cleaned analytic dataset along with accompanying scripts while setting us up for continued collaboration and sensitivity analyses as new questions arise. Let's get started on this potentially impactful journey together!

@sadam61

Hello, I am excited about the opportunity to assist with your ICU studies utilizing MIMIC-III and MIMIC-IV. My extensive experience with data extraction, cleaning, and analysis positions me to effectively manage the tasks you outlined. I have a solid background in SQL and Python, which allows me to clean high-dimensional datasets and derive meaningful clinical variables. Previously, I've completed similar projects where I successfully stitched tables together, ensured reproducibility, and drafted interpretive notes for publication. I can start this project immediately, focusing on delivering a fully cleaned analytic dataset along with the scripts and statistical outline you need. Best regards, Sadam

@atesicfl

⭐⭐⭐ MIMIC-III / MIMIC-IV ICU DATA ANALYSIS & COHORT BUILDING ⭐⭐⭐ I work hands-on with MIMIC-III and MIMIC-IV and am comfortable going from raw PhysioNet tables to fully reproducible, analysis-ready cohorts. I can reliably extract and link meds, diagnoses, procedures, labs, and vitals across admissions and ICU stays using robust SQL, then clean and reshape the data in R (tidyverse) or Python (pandas). My workflow focuses on clinical validity: handling unit inconsistencies, time alignment, implausible values, and EHR quirks, while deriving meaningful variables such as severity scores, exposure windows, and composite outcomes. I’m experienced with retrospective observational design, confounding considerations, and sensitivity analyses, and I document every assumption clearly for manuscript use. You’ll receive a clean analytic dataset, versioned SQL + R/Python scripts, and a concise outline of the statistical approach—fully reproducible and ready to extend as questions evolve. ⭐⭐⭐ Ready to contribute immediately and support long-term ICU research.

@sayarsinghseo

As a seasoned and highly rated data scientist, I'm very familiar with the detailed work involved in data cleaning, preprocessing, and analysis that your project requires. Throughout my career, I've worked extensively with databases and have gained solid proficiency in SQL and Python. I'm also skilled in using MIMIC-III and MIMIC-IV on PhysioNet, making me well-suited to undertake the precise task of extracting rows, linking tables reliably through patient and hospital-stay identifiers, and transforming sprawling data into tidy and analysis-ready formats. Given my background in not just data science but also search engine optimization (SEO), I inherently prioritize quality, organization, and reproducibility. These traits will particularly prove valuable in producing not just a fully cleaned analytic dataset for you but also accompanying well-documented scripts that outline the statistical approach taken. Additionally, my multidisciplinary experience will boost our collaboration effectively. While my expertise lies primarily in a robust understanding of data analytics methodologies and strong fluency with R/Python/pandas/pySpark, I also understand the quirks in EHR data due to being conversational with the medical field. I envision an ongoing collaboration where I can assist your evolving needs as new questions arise or sensitivity analyses are required. Here’s to making clinically defensible decisions through clean data!

@blazenicholas

I appreciate the opportunity to work on your retrospective ICU studies involving MIMIC-III and MIMIC-IV datasets. Your need for seamless extraction, cleaning, and integration of high-dimensional clinical data into well-structured, analysis-ready cohorts resonates with my approach to creating reproducible, clinically defensible workflows. I bring expertise in SQL, R, Python, and epidemiological study design. I may be new to Freelancer, but I bring solid experience to the table. I’m happy to offer a free call to discuss your project in detail and ensure alignment. Regards, Blaze Nicholas