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A dynamic Senior Biostatistician and Data Scientist seeks to bring an accomplished combination of education and experience to an industry-leading employer. 15+ years of experience in related data analysis, computer programming, and instruction roles for distinguished universities. Ph.D. in Biostatistics, with an M.S. in both Bio-Engineering and Applied Mathematics. Proficient in data management, mathematical modeling, grad/undergrad instruction, longitudinal/statistical analysis, project management, and more. Diligent and goal-oriented, with the skills, education, and hands-on experience needed to make an immediate impact as part of any fast-paced team.

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Rating | Data Analytics and Predictive Modeling. Dissertation Help |✅Statistics, Panel Data, Time series Econometrics |✅ SAS, STATA, SPSS, NVIVO| ✅Data Science, Large Survey Data and Regression Analysis, Medical and Healthcare data analysis | 🏆PhD and 15 years of experience. I am an expert biostatistician and epidemiologist with over a decade of experience, specializing in both quantitative and qualitative analysis. My extensive academic background, including a Ph.D. in Epidemiology and a master’s degree with a focus on biostatistics and data science, has equipped me with a deep understanding of a wide range of statistical techniques and methodologies. I have contributed to over 100 published papers in medicine, social sciences, and public health, demonstrating my ability to apply complex statistical analyses to real-world research problems. My expertise encompasses basic descriptive statistics as well as advanced modeling techniques. I am proficient in linear regression, generalized linear models, mixed-effects models, survival analysis (including Cox regression and Kaplan-Meier curves), incidence modeling, and logistic regression. Additionally, I am skilled in time series analysis, autoregressive models, structural equation modeling, Bayesian analysis, and propensity score matching. My technical skills include fluency in SAS, R, STATA, SPSS, and NVivo, enabling me to efficiently process and analyze data across various research domains. My comprehensive expertise ensures that I can provide valuable insights and support for your research and analytical projects.

I’m a biostatistician and statistical programmer with four years of experience transforming messy, complex datasets into clear, actionable insights. Whether you're a startup needing dashboards, a small business looking to make sense of your customer data, or a researcher needing statistical analysis, I'm here to help. My toolbox includes: - Languages & Tools: R, SAS, Python, SQL, and Excel - Skills: Data wrangling, visualization, statistical modeling, automation, reporting - Experience: Survey data, time-series, A/B testing, dashboards, public health data, and more I’m especially good at: - Cleaning and structuring raw data to make it analysis-ready - Building intuitive dashboards and data visualizations - Running regression models, classification algorithms, and predictive analytics - Writing clear, understandable reports—even for non-technical audiences - Delivering on tight deadlines with a collaborative, responsive approach 📌 Bonus: I’m bilingual (English & Spanish), detail-oriented, and love solving problems that others find overwhelming. Let’s turn your data into decisions. Reach out and let’s chat about your project!

Biostatistician of 2.5+ 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 * 15 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.

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.

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.