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Machine Learning Engineer Biotech information

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Maryland?

The most popular types of Machine Learning Engineer Biotech jobs in Maryland are:

What are popular job titles related to Machine Learning Engineer Biotech jobs in Maryland?

For Machine Learning Engineer Biotech jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Maryland look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Engineer Biotech jobs?

Cities in Maryland with the most Machine Learning Engineer Biotech job openings:

Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Maryland as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Senior Mechanical Engineer (Biotech Instrumentation)- Gaithersburg, MD

Zachary Piper Solutions

Gaithersburg, MD • On-site

$116 - $175/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Senior Mechanical Engineer (Biotech Instrumentation)

Zachary Piper Solutions is seeking a Senior Mechanical Engineer (Biotech Instrumentation) to join a biomedical manufacturing company located in Gaithersburg, MD. The position is 100% onsite.

Responsibilities
  • Lead end‑to‑end design and development of precision mechanical and electromechanical instrumentation.
  • Develop CAD models, engineering drawings, and detailed design documentation using SolidWorks.
  • Perform hands‑on prototyping, bench assembly, testing, and troubleshooting of systems.
  • Collaborate cross‑functionally with electrical, systems, and bioengineering teams to integrate complex subsystems.
  • Drive product lifecycle efforts from early concept through mass production and manufacturing scale‑up.
  • Develop requirements, specifications, and validation/test protocols for new products.
  • Analyze performance data and generate detailed technical reports and design improvements.
  • Provide mentorship and technical leadership within a multidisciplinary engineering team.
  • Ensure compliance with ISO, FDA cGMP, and regulated product development standards.
  • Support vendor selection, component sourcing, and manufacturing process development.
Qualifications
  • 12–15+ years of professional mechanical engineering experience as an independent contributor.
  • Strong experience with mechanical design, electromechanical systems, and instrumentation development.
  • Background in biotech, life sciences, medical devices, fluid systems, or related industry.
  • Proven experience bringing hardware products from concept to mass production.
  • Hands‑on experience with prototyping, testing, and system integration.
  • Proficiency in CAD tools such as SolidWorks (or similar) and engineering analysis tools.
  • Experience working in ISO/FDA regulated environments.
  • Knowledge of manufacturing processes including machining, sheet metal, and injection molding.
  • Experience with motors, automation systems, or motion control components.
  • Bachelor’s degree in Mechanical Engineering (Master’s preferred).
Nice to Have
  • Experience with microfluidics or precision fluid systems.
  • Mechatronics or robotics experience.
  • Exposure to thermal management systems.
  • Consumer product design experience involving moving components.
  • Familiarity with automation, pick‑and‑place systems, or end‑of‑arm tooling.
Compensation
  • Salary Range: $116,000 – $175,000 depending on experience.
  • Comprehensive benefits include medical, dental, vision, 401(k), PTO, sick leave (as required by law), and holidays.
  • Annual raises (3–4%) and performance‑based bonus (typically 4–6%, up to 10%).
  • Clearance level: Must be eligible to work in the United States (no sponsorship available).
  • Location: 100% onsite in Gaithersburg, MD.
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