Staff Scientist Informatics

Nelson Scientific Labs•Potomac, MD

2d•$75,000 - $90,000•Onsite

About The Position

Nelson Scientific Labs LLC is seeking a Staff Scientist – Informatics to work in its laboratory environment in Potomac, Maryland. The role applies scientific expertise and data analysis to laboratory research, including developing and maintaining bioinformatics pipelines, analyzing large-scale scientific datasets, and supporting data-driven experiments. The scientist will also build data management systems and reporting tools, communicate findings, and help ensure data integrity and compliance with laboratory and regulatory standards. Nelson Scientific Labs is a Maryland-based biomedical research and consulting company founded in 2018. It develops biomarkers for exposure assessment, in vitro diagnostics, and precision medicine, using molecular profiling platforms in metabolomics, transcriptomics, and proteomics. Its mission is to improve clinical outcomes for cancer patients receiving curative radiation therapy through personalized medicine. The company collaborates across molecular profiling, clinical chemistry, bioinformatics, and clinical care and treatment.

Requirements

Ph.D. in Bioinformatics, Computational Biology, Data Science, or a related scientific field.
Proven experience in scientific data analysis, bioinformatics, or laboratory informatics.
Proficiency in programming languages such as Python, R, or similar data-analysis tools.
Strong knowledge of statistical methods and data visualization techniques.
Familiarity with Laboratory Information Management Systems (LIMS) and scientific databases.
Excellent problem-solving skills and strong attention to detail and accuracy.
Strong communication skills, including the ability to present complex data to technical and non-technical audiences.

Nice To Haves

Experience with next-generation sequencing (NGS), genomics, machine learning, or other high-throughput data platforms.

Responsibilities

Develop, implement, and maintain bioinformatics and data analysis pipelines to support laboratory research initiatives.
Analyze and interpret large-scale scientific datasets, including genomic, proteomic, or other omics data.
Collaborate with cross-functional scientific teams to design and execute data-driven experiments.
Build and optimize databases, data management systems, and reporting tools for scientific data.
Communicate findings through reports, visualizations, and presentations to internal stakeholders.
Ensure data integrity, quality control, and compliance with regulatory and laboratory standards.
Stay current with emerging informatics tools, technologies, and best practices in life sciences.