Machine Learning Engineer/Scientist

Precise Systems, Inc.•Edgewood, MD

3h•$76,709 - $115,064•Onsite

About The Position

Precise Systems is seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to support innovative chemical and biological defense projects that integrate automation and physical science principles. The selected candidate will apply their academic and practical knowledge, experience, and expertise in chemical & biological research and perform data analytics using data science principles. The role involves integrating predictive performance metrics into laboratory processes using pythonic dashboards, adapting metrics and models to project needs, developing pipelines for chemical or biological data, and executing them in laboratory settings to achieve desired outcomes. This role requires in-person support.

Requirements

Master’s degree in Computer Science, Computer Engineering, Computational Biology, Bioinformatics OR Bachelor’s degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.
3 years of experience in a laboratory and/or computational environment.
Hands-on experience applying machine learning algorithms and data science techniques to physical science problems.
Proficiency in Python and other programming languages commonly used in machine learning and data analysis.
Familiarity with physical science and laboratory experience.
Proficiency with software development approaches such as agile, git, DevSecOps, and/or MLOps.
Advanced communication skills for interacting with interdisciplinary teams, government representatives, and industry partners.
Willingness to learn new technologies and take on new challenges.
Strong written and oral communication skills, excellent interpersonal skills, and proficiency in PC software packages for data analysis and visualization.
Must be able to obtain and maintain a Secret security clearance.
U.S. Citizenship is required.

Nice To Haves

Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.
Expertise in advanced machine learning frameworks (e.g., TensorFlow, PyTorch) and their application to biological data.
Experience with bioinformatics tools and databases.
Experience performing wet laboratory experimentation to validate software and models.
Knowledge of automation systems and robotics for laboratory workflows.
Collaboration with academic and industry partners on synthetic biology and machine learning projects.

Responsibilities

Perform research, development, testing, and evaluation of machine learning models towards chemical and biological datasets.
Contribute to advancing chemical and biological research and development that drives innovation to out-pace emerging threats while simultaneously providing modern solutions.
Collaborate with interdisciplinary teams to develop machine learning solutions for biological/chemical challenges.
Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD research efforts.
Perform internal verification and validation of models and code to ensure deployments for real laboratory use.
Develop and implement dashboards or other graphical user interfaces for automation for laboratory experimentation.
Analyze biological or chemical data using languages such as Python and R to derive mathematical insights and improve system performance.
Employ DevSecOPs and MLOps to integrate machine learning processes into secure data pipelines.
Collaborate with academic and industry partners to test and refine algorithms and biological systems in diverse environments.
Perform research to keep models and analysis up to date with the latest advancements.