James Sagey
Senior Bioinformatics Data Scientist
Remote
Summary
Biotechnology professional with comprehensive experience in molecular biology, genetic engineering, and bioinformatics. Known for strong collaboration skills and consistently delivering results in dynamic environments. Skilled in laboratory techniques, data analysis, and process optimization. Reliable team player with flexible approach to evolving project needs.
Overview
12
12
years of professional experience
7
7
Certifications
4
4
Languages
Work History
Senior Bioinformatics & Machine Learning Engineer
Coin Nexus Inc
02.2020 - 05.2025
- Key Technologies: R, Python, NGS, TensorFlow, PyTorch, Apache Spark, Kubernetes, Docker, SQL, Bioconductor, Nextflow, GATK, AWS, GCP.
- Led development and deployment of machine learning pipelines for genomics, precision medicine, and biomarker discovery, integrating scalable infrastructure with Kubernetes and Docker.
- Designed and optimized ETL pipelines to process terabytes of high-dimensional biological, clinical, and omics datasets using Apache Spark and cloud-native tools.
- Established a robust MLOps framework automating CI/CD, model retraining, and monitoring of predictive models for bioinformatics applications with MLflow and Airflow.
- Integrated AI solutions into bioinformatics workflows for anomaly detection, patient stratification, and drug response prediction, improving accuracy and translational impact.
- Directed a cross-functional team of 20 scientists and engineers, fostering reproducibility, interpretability, and best practices in biomedical AI.
- Collaborated with researchers and stakeholders to align computational biology initiatives with clinical and pharmaceutical goals, accelerating discovery pipelines and improving decision-making.
Senior Bioinformatics Data Scientist
NENFB LLC
01.2016 - 01.2020
- Developed predictive models for gene expression analysis, achieving 70% improvement in accuracy over previous methods, resulting in more precise biomarker identification.
- Designed and implemented an automated pipeline for next-generation sequencing (NGS) data, reducing data processing time by 60% and increasing throughput.
- Led a cross-functional team to integrate machine learning models for drug target identification, resulting in identification of potential candidates in immunotherapy.
- Conducted data engineering for large-scale genomics datasets, leveraging Spark and Hadoop to enable scalable data processing.
Software & Cybersecurity Engineer
Muso LLC
01.2013 - 01.2016
- Developed 15+ software applications, utilizing programming languages such as Java, Python, and C++, improving system functionality and user experience.
- Engineered a data processing module using Apache Kafka that enhanced data ingest rate by 60%.
- Managed all phases of the software development lifecycle (SDLC) from initial concept through development, testing, and deployment.
- Implemented Agile methodologies, resulting in a 30% improvement in project delivery timelines.
Education
Bachelor of Science - Information Technology
Purdue University
Master of Science - BioTechnology
Northeastern University
Boston, MA 04.2001 -
Skills
Microsoft Azure Solutions Architect Expert
Programming Languages: Python, R, Java, C
Machine Learning: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost
Bioinformatics Tools: Bioconductor, Biopython, BLAST, GATK, SAMtools
Data Analysis: Pandas, NumPy, SciPy, Matplotlib, Seaborn
Natural language processing
Model development
Data analytics
Machine learning
Supervised learning
Machine learning integration
Feature engineering
Clustering algorithms
Gradient boosting machines
Statistical modeling
Project management
Neural networks
Algorithm development
Data mining
Dimensionality reduction
Optimization techniques
Unsupervised learning
Anomaly detection
Big data analytics
Genetic algorithms
Bayesian inference
Reinforcement learning
Data science principles implementation
Large dataset management
R programming language
Python programming
Gene expression
Statistical analysis techniques
Comparative genomics
Biostatistics
Drug discovery
Gene expression analysis
Data visualization tools
Next generation sequencing
Proteomics analysis
Phylogenetic analysis
Population genetics
Biological database management
Network biology
Systems biology
Epigenomics analysis
Cheminformatics
Structural bioinformatics
Functional genomics
Pathway analysis
Transcriptomics analysis
Genomic data analysis
Microarray data analysis
Molecular dynamics simulations
Genome assembly
Machine learning algorithms
Protein structure prediction
Variant calling
Websites
Certification
CompTIA Security+
CONTACT
- +1 920-710-0357
- Https://github.com/JD-101994
- Jamessagey@pm.me
- Remote or Re-location
Timeline
Senior Bioinformatics & Machine Learning Engineer
Coin Nexus Inc
02.2020 - 05.2025
Senior Bioinformatics Data Scientist
NENFB LLC
01.2016 - 01.2020
Software & Cybersecurity Engineer
Muso LLC
01.2013 - 01.2016
Master of Science - BioTechnology
Northeastern University
04.2001 -
Bachelor of Science - Information Technology
Purdue University