Applied ML Scientist for Chemical & Biological Lab Data

Precise Systems, Inc.; Edgewood (MD); On-site; USD 76,709 - 115,064; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Retirement plans

Professional growth opportunities

Job summary

Precise Systems, Inc. is looking for a Machine Learning Engineer or Scientist to support chemical and biological defense projects in Edgewood, Maryland. Ideal candidates will apply their expertise in data science and physical sciences to innovate and develop solutions that meet critical defense needs.

This role demands in-person work and involves developing machine learning tools, integrating performance metrics into processes, and collaborating with diverse teams. A Master's degree or relevant Bachelor's degree with experience is required.

Compensation is competitive, with a salary range of $76,709.46 - $115,064.18 annually, reflecting skills and experience.

Qualifications

• Master’s degree or Bachelor’s degree with relevant experience required.
• 3 years of experience in a laboratory or computational environment.
• Hands-on experience applying machine learning to physical science.

Responsibilities

• Conduct research and development of machine learning models.
• Collaborate with teams to develop machine learning solutions.
• Analyze biological or chemical data using Python and R.

Skills

Machine learning algorithms

Data science techniques

Python

R

Communication skills

Git

Education

Master’s degree in Computer Science, Computer Engineering, Computational Biology, or Bioinformatics

Bachelor’s degree with 5 years of experience

Tools

TensorFlow

PyTorch

Agile methodologies

Job description

Precise Systems, Inc. is looking for a Machine Learning Engineer or Scientist to support chemical and biological defense projects in Edgewood, Maryland. Ideal candidates will apply their expertise in data science and physical sciences to innovate and develop solutions that meet critical defense needs.

This role demands in-person work and involves developing machine learning tools, integrating performance metrics into processes, and collaborating with diverse teams. A Master's degree or relevant Bachelor's degree with experience is required.

Compensation is competitive, with a salary range of $76,709.46 - $115,064.18 annually, reflecting skills and experience.