Hire the Best Epidemiologists
in the United States

I am an epidemiologist and research scientist with over 10 years of experience in epidemiologic research and data analysis. My expertise lies in leading population health studies using Medicare claims, electronic health records, and national surveys, focusing on the intersection of social and environmental factors with health outcomes like cancer, cardiovascular disease, and sleep. I specialize in pharmacoepidemiology and health equity research, ensuring that findings translate effectively into healthcare settings. Proficient in SAS and R, I employ advanced statistical analyses and causal inference models to derive actionable insights. I manage study lifecycles from protocol development through statistical execution, and I am committed to driving impactful research that informs health policies and practices. If you're looking for a data-driven professional who can tackle complex health issues, let's discuss how I can support your project.

🏆 EXPERT-VETTED TOP 1% ON UPWORK Need a statistician who can deliver publication-ready analyses the first time? I'm a PhD Biostatistician and Epidemiologist with 15+ years of experience supporting physicians, researchers, universities, and healthcare organizations. I've contributed to 100+ peer-reviewed publications and specialize in transforming complex data into clear, accurate, reviewer-ready results. My expertise includes: ✔ Clinical trials & observational studies ✔ Biostatistics & epidemiology ✔ Regression, mixed models, GEE, survival (Cox/KM) ✔ Predictive modeling & machine learning ✔ Sample size & power analysis ✔ Statistical Analysis Plans (SAPs) ✔ REDCap, EHR, survey & large healthcare datasets ✔ Manuscripts, dissertations & grant proposals Software: Stata | SAS | R | SPSS | REDCap | PASS | NVivo I deliver accurate, reproducible, publication-quality statistical analyses with clear interpretation and fast communication. Whether you're preparing a manuscript, grant, dissertation, or clinical study, I'm here to help you get it done right.

Justin McClendon, MS, MPH, CRA (Certified Research Administrator) Justin McClendon is a highly experienced professional specializing in grant administration, research consulting, and epidemiology. He is currently completing his PhD in Epidemiological Science at the University of Michigan, bringing a unique blend of scientific rigor and administrative authority to every project. With over nine years of experience at institutions such as Stony Brook University, New York University, and NYU Langone Health, he has a proven track record in securing, consulting on, and managing large-scale research funding and complex clinical trials. Consulting, Grant Writing, and Strategic Proposal Development I am a consultant and grant writer for organizations across all subject matters and sectors, specializing in translating innovative concepts into fundable proposals. I excel at securing highly competitive mechanisms, including NIH SBIR/STTR grants, alongside foundation, state, and other federal funding. My consulting work provides expert guidance on comprehensive grant strategy, clinical trial design, managing post-award activities, and ensuring robust regulatory compliance strategies for new projects and technologies. I leverage my deep scientific and administrative expertise to translate innovation into compliant, successful proposals. Grants Management & Strategic Administration Justin possesses extensive expertise in sponsored programs, having overseen the administration of NIH, NSF, and DoE grants, as well as funding from private foundations. He managed complex portfolios involving $25 million+ in active grants and served as an Authorized Organizational Representative (AOR), guiding the submission of over 120 proposals annually. His knowledge spans the full grant lifecycle, including financial reporting, Uniform Guidance compliance, subaward management, and coordinating large-scale international collaborations like NIH Center Grants (U01, P01, U19) and NSF center projects. He is fluent in all federal submission platforms, including eRA Commons, ASSIST, and ProposalCentral. Epidemiological Research & Clinical Coordination Justin’s scientific focus is on epidemiology, clinical trials, and infectious diseases. As a Research Data Associate at NYU Langone Health, he led the build-out and administration of NIH-funded clinical trials targeting harm reduction for opioid use disorder and tobacco use among vulnerable populations. His expertise extends to study design, scientific and statistical analysis (R, SAS), and ensuring adherence to stringent regulatory protocols, including FDA, IRB, GCP, and HIPAA standards. He has also contributed to global health initiatives, coordinating research on infectious diseases such as malaria and tuberculosis in India and developing elimination strategies in LMICs alongside organizations like the WHO and GLIDE. Ready to elevate your project from idea to funded reality? Let's discuss how my unique blend of administrative, writing, and scientific expertise can secure your next grant or streamline your research operations.

Skills -Data management and Statistical Analysis -Academic, Scientific, and Grant Writing -Software and language Proficiencies- R, C# ,SPSS, SQL, Excel, Unity I am a Ph.D. Research Psychologist with a focus in advanced quantitative and experimental methods. I also completed a post-baccalaureate certificate in applied statistics. I have experience with advances statistical methods including ANOVA, regression, structured equation modelling, multi-level modelling, meta-analyses, as well as more basic analysis and visualization. I also have extensive experience working in advanced data management and automating data transformation and cleaning in health and research settings. I have provided data analysis consultation services and support for research in a variety of disciplines including nursing, marine science, public admisntration, archeology, fine arts, and biostatistics I have extensive skill and experience in R, SPSS, SQL, and excel. I am also familiar with work flow management tools like GitHub, Jupyrter notebooks, and Google CoLab. I am proficient in scientific wring and have several peer re-viewed publications. I have successfully submitted Grants to different funding agencies including the National Institute of Health.

Computational scientist with 5+ years delivering research-grade data science across clinical and biological domains. I build autonomous AI systems, scalable analysis pipelines, predictive models, and data-driven applications - with doctoral-level depth in multi-omics and systems biology. I adapt to your stack, your environment, and your standards. I do not just analyze data. I build infrastructure around it: reproducible workflows, intelligent agents, and production-ready solutions that hold up under scientific scrutiny. WHAT I OFFER Agentic AI and LLM Pipelines Autonomous agents, multi-agent systems, retrieval-augmented workflows, and LLM-integrated tools that automate complex reasoning and data tasks end to end. ML and Deep Learning Predictive modeling, neural networks, ensemble methods, and model interpretability - built to generalize, not overfit. Bioinformatics and Multi-Omics End-to-end analysis of next-generation sequencing data across modalities: bulk and single-cell RNA-seq, whole genome and exome sequencing, ATAC-seq, ChIP-seq, metagenomics, long-read sequencing, and spatial transcriptomics. Advanced integration techniques and multi-omics. Data Analysis and Visualization Statistical testing, exploratory analysis, and publication-quality figures that communicate results clearly to both technical and non-technical audiences. Biostatistics and Epidemiology Rigorous statistical modeling across biological and clinical datasets: survival analysis, mixed-effects models, longitudinal data analysis, Bayesian inference, multiple testing correction, and interpretation of population-scale and epidemiological data.​​​​​​​​​​​​​​​​ Scientific Pipelines and Software Containerized, HPC-compatible workflows built for reproducibility, portability, and scale - in whatever language or framework your project requires. Web and Application Development Interactive dashboards, REST APIs, and research tooling designed to make complex data accessible and actionable. Training, Tutoring and Consulting One-on-one and group tutoring in data science, bioinformatics, statistics, and programming, from foundational concepts to advanced techniques. I also consult with research teams looking to build internal capacity or accelerate ongoing projects. Whether you’re looking for support with a research project, building predictive models, or streamlining your data workflows, I’m here to help. Let’s bring your data to life.

Biostatistician of 3 years with 13 years of collective data analysis experience and proven track record of delivering data-centered narratives (15 published articles) in diverse disciplines from -omics to healthcare research. My go-to tool is R/R-studio, I favor Bayesian methods, and I take pride in delivering expert-level services. Expert-level services: * Data management, analysis, and visualization * Review and editing academic writing (protocols, posters, abstracts, manuscripts, dissertation) * Study design consultation (power analyses, Bayesian operating characteristics) * 1:1 mentorship and training on R coding, research methods, project management, data management Skills: R/R-studio, Data analysis, Project management, Database development (REDCap expert), Dashboards (PowerBI) , Data wrangling, Bayesian methods, Monte Carlo Simulations, Causal Inference (propensity scores, standardization, difference-in-difference-DiD, synthetic controls) Credentials: * Practicing biostatistician that leads clinical trials, observation, and quality improvement studies in the area of oncology at a cancer institute * PhD in quantitative biology * 16 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.