Data Scientist - Data Sciences & Biostats

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas:
Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to Model the Earth system from the subsurface to the atmosphere.

The Biological Sciences Division has 17 collaborative, interdisciplinary biology-based teams to tackle major challenges in ecosystem sustainability, bioenergy, human health, and national security. Teams use unique field sites, advanced instrumentation, and integrated computational approaches to explore molecular-scale processes. Strategic efforts focus on advancing molecular measurement capabilities, uncovering the structure and function of molecular dark matter, identifying control points in complex systems, and developing domain-aware AI to accelerate discovery and hypothesis-driven research.

We are seeking a Data Scientist 2 - Biostatistician with expertise in statistics who will join a talented, multi-investigator team to contribute to projects developing innovative solutions across the spectrum of ‘omics technologies. The ideal applicant will have a skill set that includes a strong background in statistical theory, advanced statistical methodology including modeling, experimental design, multivariate statistics, and other advanced topics such as time series analysis, statistical learning, Bayesian modeling, image analysis, deep learning, and application of generative artificial intelligence.

Experience in statistics applied to biology and/or mass spectrometry data (e.g. proteomics) and proficiency in data integration and harmonization of multiple large datasets are desired. The ideal applicant will have experience working in interdisciplinary teams, strong written and verbal communication skills, and a demonstrated ability to translate theoretical statistics to complex and novel data.

Our dynamic, multidisciplinary environment will offer many opportunities to bring statistics and biology together for highly impactful science in national security, human health, environmental exposure, and chemical forensics fields.

Applicants will help deliver projects to accelerate our team’s goals of developing leading-edge ‘omics analytics capabilities and applications for a variety of sponsors.

Minimum Qualifications:

• BS/BA and 2 years of relevant experience
  -OR-
• MS/MA
  -OR-
• PhD

Preferred Qualifications:

• PhD in statistics, biostatistics, or related field
• Strong verbal and written communications skills
• Demonstrated ability to work with interdisciplinary teams in research
• Deep understanding of theoretical statistics
• Experience coding in R and package development in R
• Experience coding in Python
• Experience using HPCs and/or cloud computing resources

Not Applicable

This position requires the ability to obtain and maintain a federal security clearance.

A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and…