Machine Learning Engineer/Scientist

Duties

• Perform tasks encompassing 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.

Requirements

• 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.

Qualifications

• 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.
• 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.

Skills

• 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.

Pay

$76,709.46 - $115,064.18 (annualized USD).