Hire the Best Genomic Data Analysis Freelancers
in the United States

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.

I’m a life sciences researcher and data analyst with an MS in Biotechnology (GPA 4.0, Florida Institute of Technology, 2026) and a BS in Biology with a minor in Animal Behavior (Indiana University, Magna Cum Laude). I build statistical workflows, analyze complex biological datasets, and write clearly for scientific audiences. During my graduate research at Florida Tech, I replaced a $1,000+/year paid data collection platform with a custom open-source R solution, designed automated field data workflows, and integrated multi-source environmental data into reproducible pipelines. As an undergraduate researcher at Indiana University, I analyzed multi-year GPS wildlife tracking datasets, cleaned long-term behavioral observation records, and built the lab’s first searchable specimen database from 40+ years of archival records. WHAT I CAN DO FOR YOU - Statistical analysis: regression, mixed-effects models, hypothesis testing, descriptive statistics - R and Python scripting and pipeline development - Data cleaning and transformation from messy, multi-source datasets - Publication-quality visualizations with ggplot2 and matplotlib - Reproducible reporting via R Markdown and Jupyter Notebooks - Scientific writing: Methods, Results, and Discussion sections - Literature reviews, grant background sections, and lay summaries - Manuscript editing for clarity, accuracy, and journal style My background spans field ecology, molecular biology, and computational data science. I work equally well with observational biological data, commercial analytics datasets, and structured clinical data. I’m detail-oriented, deadline-driven, and used to communicating complex findings to non-specialist audiences (I’ve taught college biology). Whether you need a quick data clean-up or a full analysis pipeline with a written report, I can help. Message me with what you’re working on. I reply within 24 hours.

I am MPhil in Microbiology and Molecular Genetics and have been engaged in different research and freelancing projects. I have a first author publication in Brazilian Archives of Biology and Technology (Oct 2015). I have a passion for writing and research in different areas of my field. I have cleared GRE International test (Biochemistry) and a number of other aptitude tests related to my field. I can provide quality articles, blogs, ebooks, in the following areas : Genetic engineering Biochemistry Biotechnology (PCR, ELISA, SDS-PAGE) Chromosomal Abnormalities Genetic Basis of Cancer (Skin, Breast, ​and Prostate) Molecular biology and cloning Food and Medical microbiology Enzymology Microbiology​ Metabolism and metabolic pathways What I don't do are personal assignments, school/college quizzes, and assessments. I have immaculate knowledge of English Grammar I have a zeal for proofreading, editing, and article/story writing. I am young and passionate and willing to be a part of your project. I am pretty flexible with respect to working hours. Deadlines are important for me and I will review your content as many times as it takes for it to meet your expectations.

Clinical Research Coordinator with 8+ years of experience in pediatric research, specializing in infectious diseases and immunocompromised host populations at Cincinnati Children's Hospital Medical Center. I work across the full research lifecycle: IRB protocol development, FDA regulatory management, REDCap database architecture, high-fidelity data abstraction, and biostatistical analysis in Stata. As the primary REDCap administrator for a high-volume research group, I design relational databases with integrated logic validation, perform ad hoc data cleaning, and conduct preliminary biostatistical analyses (descriptive statistics, incidence rate modeling, Kaplan-Meier, and Cox modeling) to support faculty publications and abstracts. I have contributed to peer-reviewed publications in JPIDS and Pediatric Infectious Diseases Journal, and my research perspective was featured in Infectious Disease Special Edition (IDSE) in 2025. I hold an MA in Medical Sciences and am completing an MPH in Epidemiology & Biostatistics at Tufts University. My experience includes Phase 1–3 FDA-regulated IND trials, multi-center infectious disease studies, and validation site lead for an FDA-supportive Class II medical device study. I also serve as a volunteer grant reviewer for the Cholangiocarcinoma Foundation, evaluating proposals from MD/PhD investigators for clinical feasibility and patient impact. Whether you need REDCap infrastructure support, clinical dataset cleaning and analysis, or an experienced eye on a protocol or consent form, I bring technical precision and real-world research experience to every project. *Please note - I am unable to work regular 09:00-17:00 hours due to my regular job. I'm looking for positions where I can easily flex my time and work in the evenings.

I use clear, concise writing to convey complex topics in the most accessible way. For over five years, I've created blog pieces (both long and short form), web page content, white papers, grant/contract/clinical trial proposals, and marketing materials for my individual and corporate clients in medicine, biotechnology, and associated life sciences. I also analyze tumor genomics and serve as a research consultant. I have worked in the life sciences for many years, primarily concentrating on cell and molecular biology. I hold degrees from Cornell University and UCLA, where I published original work. I inherited an innate talent for understanding mechanisms and a penchant for finding creative solutions to problems. I believe in not only working hard, but also working wisely. My goal is to produce excellent work that consistently meets or exceeds every requirement.