Bioinformatician

Precise Systems, Inc.•Edgewood, MD

16h•$95,887 - $130,631•Onsite

About The Position

Precise Systems is seeking a Bioinformatician with experience analyzing multi-omics data to support chemical and biological defense projects. The role develops and runs analysis pipelines for mass spectrometry data using classical and machine learning approaches, working with data from high-resolution, triple quadrupole, and miniaturized mass spectrometer platforms. Under the guidance of senior professionals, the Bioinformatician develops, tests, and evaluates workflows for complex chemical and biological datasets. The position contributes to chemical and biological research intended to address emerging threats and deliver modern solutions. In-person support is required. The position requires a relevant graduate degree and computational research lab experience, or a relevant bachelor’s degree with additional experience. The successful candidate must be able to obtain and maintain a Secret security clearance; U.S. citizenship is required.

Requirements

Master’s degree in computational biology, bioinformatics, computer science, or a related field, with 3 years of experience in a computational research lab environment; alternatively, a bachelor’s degree in a relevant field with 5 years of experience in a computational research lab environment.
Strong coding experience and hands-on application of data science techniques to biological problems.
Ability to handle mass spectrometry data collected from high-resolution, triple quadrupole, and miniaturized mass spectrometer platforms.
Proficiency in Python and/or R, and other programming languages commonly used in data analysis and machine learning.
Strong experience with Python, R, BASH, HPC cluster utilization, and workflow implementation.
Strong background in software development approaches such as agile, Git, and/or DevSecOps.
Demonstrated ability to translate complex statistical and data science outputs into clear technical conclusions.
Advanced communication skills for interacting with interdisciplinary teams, government representatives, and industry partners.
Strong written and oral communication skills, excellent interpersonal skills, and proficiency in software packages for data analysis and visualization.
Willingness to learn new technologies and take on new challenges.
Ability to obtain and maintain a Secret security clearance.
U.S. citizenship.

Nice To Haves

Ph.D. in computational biology or chemistry, bioinformatics, machine learning, physical sciences, or a related field, with 1 year of experience in a laboratory and/or computational environment.
Expertise in bioinformatics tools and databases for proteomics, metabolomics, or lipidomics.
Knowledge of automation systems for laboratory workflows.
Experience performing wet laboratory experimentation to generate or validate data.
Experience collaborating with academic and industry partners on bioinformatics projects.

Responsibilities

Collaborate with interdisciplinary teams to analyze and interpret mass spectrometry data and publish findings.
Develop and run pipelines for targeted and untargeted data, including Data Independent and Data Dependent acquisitions, from proteomic, metabolomic, lipidomic, phosphoproteomic, and small-molecule characterization experiments.
Incorporate quality control and normalization strategies into mass spectrometry data analysis.
Apply statistical analyses and provide downstream interpretation through pathway enrichment analyses and data visualization.
Use Python, R, BASH, and high-performance computing cluster environments to implement and execute workflows.
Collaborate with academic and industry partners to test and refine analysis methods and biological systems in diverse environments.
Research and develop novel analysis methods and models that support tools using current advances in mass spectrometry bioinformatics.
Develop and implement dashboards or other graphical user interfaces for data visualization, interpretation, and presentation of research products.