Eugene Waverly Hinderer III
Medford,MA
Summary
Dynamic Senior Bioinformatics Researcher with over five years of experience bridging information science and bench science to transform complex scientific data into actionable insights. Specializes in developing advanced multi-omics data analysis pipelines and integrative knowledgebase harmonization solutions, utilizing a unique blend of software engineering skills, ontology, and semantic reasoning. Possesses deep expertise in cellular biochemistry and a proven track record of securing substantial NIH funding while effectively managing collaborative, multidisciplinary teams. Committed to driving innovation and excellence in bioinformatics research through strategic problem-solving and leadership.
Overview
11
11
years of professional experience
Work History
Bioinformatics Specialist—Independent Contractor
QurAlis
08.2023 - Current
- Developed automated pipelines for quantitative PCR data analysis, enhancing data accuracy, efficiency, and re-usability
- Designed and implemented automated pipelines for NGS data analysis, resulting in advancing target discovery for RNA therapeutic development
- Created detailed data visualizations, facilitating decision-making and insights
- Provided walkthrough, guidance, and effective troubleshooting for non-technical personnel on proper use and interpretation of automated workflows
Sr. Bioinformatics Researcher
Tufts Medical Center—Clinical and Translational Science Institute
06.2019 - Current
- Participated in the authorship of several grants to secure $2.4 million in NIH funding for translational science research over a 5-year period
- Designed and engineered an integrative multi-omics knowledge graph for accelerating research deliverables, integrating genomic, proteomic, cheminformatic, pathway science knowledge with relevant reference data, provenance, and metadata, greatly improving interpretability of AI-enabled predictive modelling studies
- Contributed to the development, deployment, and testing of a self-service, machine learning-enabled research platform, making AI-enabled machine learning research more accessible and informative to the medical community including over 12 active and former pilot studies
- Developed and implemented novel multi-omic analytic workflows, including prototyping clinical phenotype-to-compound drug discovery and repurposing (DDR) screening while utilizing ontological semantic reasoning, which have been utilized in active and former pilot projects using our system to produce new insights
- Communicated with industry and academic partners and collaborators to strategize data processing and integration solutions for bioinformatics, cheminformatic, and machine learning/AI project tasks.
- Collaborated as a subject matter expert alongside multidisciplinary teams in the NIH Biomedical Data Translator program to develop standards and data models for open-sourced translational science tools, including the Biolink data model, utilizing knowledge in RDF, SKOS, and OWL principles
- Presented research outcomes at NIH-sponsored events to foster further collaboration and outreach while contributing to open-science objectives
Ph.D. Candidate, Research Associate
University of Kentucky—Department of Cellular and Molecular Biochemistry
08.2014 - 07.2019
- Managed multiple projects enhancing semantic information retrieval from biomedical ontologies and annotation enrichment, including a software tool called ‘GOcats’, a Python program enhancing Gene Ontology term organization and annotation enrichment
- Authored three publications on software development and applications utilizing augmented domain-specific taxonomies, demonstrating significant improvements over current methodologies
- Trained and mentored new lab personnel in Linux, Python, and lab management practices
Education
Ph.D. - Biochemistry
University of Kentucky
Lexington, KY12.2019
Bachelor of Science - undefined
Bellarmine University
Louisville, KY05.2014
Skills
- Proficient in Unix operations
- Proficient in Python
- Experienced in R
- Experienced with workflow management tools
- Experienced with ontology tools and concepts
- Experienced with SQL and NoSQL databases
- REST API development
- Computational molecular analysis skills
- Effective project management
- Detailed research design
- Effective communication strategies
- Data analysis in clinical settings
OTHER SKILLS & INTERESTS
Languages: English, German (basic, non-fluent)
OTHER SKILLS & INTERESTS
Professional Activities: Independent consultant, subject matter expert on NCATS Biomedical Data Translator initiative
Timeline
Bioinformatics Specialist—Independent Contractor
QurAlis
08.2023 - Current
Sr. Bioinformatics Researcher
Tufts Medical Center—Clinical and Translational Science Institute
06.2019 - Current
Ph.D. Candidate, Research Associate
University of Kentucky—Department of Cellular and Molecular Biochemistry
08.2014 - 07.2019
Bachelor of Science - undefined
Bellarmine University
Ph.D. - Biochemistry
University of Kentucky
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