Scientist, Biomedical Genomics

Overview

Ready to shape the future of science and global health? ATCC, a leading nonprofit biological resources and standards organization, is seeking a Scientist, Biomedical Genomics to work a hybrid schedule (up to 3 days per week onsite) in Gaithersburg, MD. 

The Scientist for Biomedical Genomics is responsible for contributing to the implementation and computational analysis of 'omics data and next-generation sequencing (NGS) projects. This role requires expertise in analyzing and interpreting large, complex datasets, alongside an understanding of genetic influences on health and disease, bridging data science and medicine. The Scientist will design, develop, and maintain a robust code base for the analysis of RNA-seq, transcriptomics, whole exome sequencing (WES), and whole genome sequencing (WGS) data—adopting or developing cutting-edge methodologies and pipelines as needed. Proficiency with diverse bioinformatics tools is essential to process, analyze, and interpret the vast volumes of genomics data generated.  They will collaborate with interdepartmental cross-functional teams on new product development, services, or informatics projects, focusing on the design, development, and maintenance of code bases for RNA-seq, transcriptomics, WES, and WGS data analysis.  

The Scientist for Biomedical Genomics will collaborate with interdepartmental cross-functional teams on new product development, services, or informatics projects, focusing on the design, development, and maintenance of code bases for RNA-seq, transcriptomics, WES, and WGS data analysis. They provide training and mentorship to biologists and peers for technologies and collaborative projects. The Scientist will use professional concepts and organizational policy and procedure to independently solve complex problems in imaginative and practical ways, utilizing various tools to process, analyze, and interpret high volumes of genomics data.

Join ATCC and be part of a team that supports the global scientific community with trusted, authenticated biological materials.

Responsibilities

Scientific Research & Innovation

• Design and conduct experimental studies to support scientific discovery.
• Initiate, direct, and execute research and development strategies.
• Evaluate feasibility of scientific concepts for problem-solving and innovation.
• Maintain scientific integrity and stay informed on advancements.

Laboratory Operations & Data Management

• Plan and execute lab research, troubleshoot technical issues, and manage DNA/RNA sequence databases.
• Record, analyze, and interpret study data.
• Translate experimental protocols into SOPs and analytical work plans.

Communication, Collaboration & Strategic Support

• Develop research documentation including reports, presentations, and publications.
• Disseminate findings to internal and external audiences.
• Support grant/contract proposals and internal R&D projects.
• Facilitate technology transfer across business units.

Qualifications

• PhD in Scientific Discipline or Engineering Equivalent and 2-5 years' experience or equivalent experience.
• Demonstrated expertise using command line to interact with Windows and Linux operating systems, including but not limited to Command Prompt, Powershell, Bash, or Zsh.
• Demonstrated experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java.
• Demonstrated experience with biomedical genomics data science.
• Familiarity with cloud computing platforms like AWS or Google Cloud for bioinformatics applications.
• Ability to create various types of visualizations, including line plots, bar charts, histograms, scatter plots, and heat maps, to represent data trends, distributions, and correlations.
• Strong understanding of next-generation sequencing (NGS).
• A track record of understanding bioinformatics applications, libraries and custom scripts preferred.
• Familiarity with Linux high-performance computing environments preferred.
• Experience with machine learning techniques and their application to biological data preferred. 

Benefits

The expected salary range for this position is $105,000 to $115,000 annually. Actual compensation will be determined based on experience and qualifications as well as internal equity and alignment with market data. In addition to base salary, this role may be eligible for additional incentive compensation including regular merit increases and the corporate bonus program.

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