Hire the Best Bioinformatics Developers
in the United States

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.

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.

I am a wet-lab trained Computational Biologist with expertise in: - Developing complex custom analysis pipelines for RNA-seq data - Processing and analyzing data from large-scale public databases e.g ENCODE - Subject matter expertise in Stem Cell Biology, Epigenetics, Aging, and RNA biology

I am a Data Scientist with over 20 years of experience performing cutting edge analyses at top tier institutions. I've worked primarily as a Bioinformatics Specialist, but have used my skillset to clean, QC, integrate, analyze and/or present data across a variety of fields. While I am new to Upwork, I have written or contributed to over 25 peer reviewed publications, many in high impact journals. Let me help you make the most of your datasets and assist in producing robust results.

Immunologist & Bioinformatician | Wet-Lab Trained, Computationally Fluent Your experimental data shouldn't be sitting in a folder waiting for someone who understands both the biology and the code. That's what I do. I'm an Immunologist and Data Scientist (M.S. in Computer Science, PhD Candidate in Immunology) with 6+ years at the intersection of wet-lab science and high-dimensional data analysis. I've run the assays, prepped the libraries, and built the pipelines to analyze them - so when I work with your data, I'm interpreting it with real biological context, not just processing files. I help biotech startups, R&D teams, and academic PIs turn complex biological datasets into clear, publishable, statistically sound results. What I do: • Single-cell RNA-seq analysis end-to-end: QC, clustering, differential expression, annotation, and publication-ready figures (Seurat, Scanpy, DESeq2, edgeR). • Machine learning and predictive modeling: Applied to biological data for classification, biomarker discovery, and pattern recognition (scikit-learn, PyTorch). • Therapeutic target discovery: ML-driven identification and prioritization of novel drug targets from multi-omics data. • Agent-based modeling of immune systems: Simulating cell-level dynamics to study infection, inflammation, and immune response in silico. • Custom pipeline development: Reproducible, version-controlled, documented workflows in Python, R, and Bash, built specifically for your experimental setup. • Flow cytometry and microscopy analysis: Gating strategies, high-parameter panels, and quantitative image analysis (FlowJo, Fiji/ImageJ, CellProfiler). • Experimental design and publication support: Grant writing, methods sections, figure preparation, and statistical consulting. My Scientific Domain: I specialize in immunology, with deep expertise in mucosal immunology, host-pathogen interactions, and immune profiling. This ensures your data is analyzed through the lens of actual disease mechanics. My work has directly contributed to successful projects published in Science Advances and Nature Communications Engineering. If you have a project that needs both biological depth and computational rigor, send me a message. I offer a free introductory call to discuss your data and map out a plan.

I have a Ph.D. and 14+ years of experience as a bioinformatics scientist specializing in computational biology, quantitative genetics, molecular biology, and physiology, and gene editing. I have worked on a broad range of projects in academia and in agricultural biotechnology. My interdisciplinary training enables problem solving from many different angles to find creative solutions. I have extensive experience with building pipelines and protocols from ground up. Contact me if you need custom analyses done on your datasets and want to get some biological insight! Experienced in: ● analyzing gene expression and alternative splicing ● single cell RNA-seq ● de novo transcriptome assembly ● working with whole genome sequencing data and GBS data ● Designing gene editing experiments for CRISPR/Cas systems ● exploring genetic diversity of natural populations and working with VCF files ● QTL mapping, bulk segregant analyses ● machine learning- feature engineering, model building, and model evaluation Skills: ● Programming languages: R, python, bash, PERL ● Docker, Jupyter ● AWS, high performance computing clusters ● Git Free 15 minute consultation.