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Machine Learning Engineer Biotech Jobs in Nevada

SynergisticIT

Junior Ml Engineer

Las Vegas, NV

$75K - $140K/yr

For Java Programmers Skills familiarity working with C, C++, Core Java, Spring boot, Hibernate ... For Data Scientists/Machine learning roles Some working knowledge of Python, Mathematics and ...

Deloitte

AI Solutions Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Machine Learning & Modeling * Supervised, unsupervised, reinforcement learning * Deep learning ... AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores ...

Deloitte

AI Data Engineer - Manager

Las Vegas, NV · On-site

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI and Data Science Engineer III

Las Vegas, NV · On-site +1

$109K - $131K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

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Machine Learning Engineer Biotech information

What does a Machine Learning Engineer do in the biotech industry?

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, and why are they important?

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.

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Machine Learning Engineer Biotech jobs near you
Junior Ml Engineer

Junior Ml Engineer

SynergisticIT

Las Vegas, NV

$75K - $140K/yr

Other

Posted 21 days ago

Job description

Job Opportunity With Synergistic IT

Synergistic IT is an organization focusing on providing technically skilled and competent candidates to clients in the USA for the past 11 years. From staffing to full implementation of projects we provide the highest quality IT Services. We offer a JOB PLACEMENT PROGRAM, under this program, we offer skill enhancement training after which we can assist candidates in getting jobs as software programmers, Java programmers, Python programmers, data scientists, machine learning engineers, data analysts and many more.

Below are the program benefits:

  • In-depth knowledge of IT technologies.
  • Preparation for certifications.
  • Live projects and real time industry experience.
  • Mock interview sessions.
  • Marketing of your resume.
  • 100% job guarantee.
  • 1 year after job technical support.
  • Great salary package $75k- $140k.

Note: Candidates who are open to invest 4-5 months in learning about Java or Data Science and then have a job in the Fortune 500 companies. (After training you will get an opportunity to work with companies like Apple, Google, Wells Fargo, Client, PayPal, eBay etc.)

Required qualifications:

Bachelors or Masters in Computer Science/MIS/IT/Mathematics/Statistics etc.

  1. For Java Programmers

Skills familiarity working with C, C++, Core Java, Spring boot, Hibernate

  1. For Data Scientists/Machine learning roles

Some working knowledge of Python, Mathematics and Statistics

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