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Machine Learning Engineer Biotech Jobs in Hawaii

SMX

Assessments Data Scientist (Temporary)

Aiea, HI

Hands-on experience with development and implementation of machine learning (ML) models. * Basic proficiency in mathematics and statistics. * Experience with general-purpose programming languages (e ...

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Title: Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... machine learning, and operations research to provide robust and flexible testing and evaluation ...

Cymertek

Cloud Analytic Software Engineer

Honolulu, HI · On-site

$59.25 - $77/hr

Cloud Analytic Software Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please ... Experience with machine learning frameworks in cloud environments * Knowledge of serverless ...

Booz Allen Hamilton

Zero Trust Engineer

Waipahu, HI · On-site

$99 - $225/hr

Zero Trust Engineer As a Zero Trust Engineer on our project, you'll coordinate with a dynamic team ... Experience with innovative cybersecurity capabilities, including A & O, AI and machine learning ...

New

SMX

Assessments Data Scientist (Temporary)

Aiea, HI · On-site

$103K - $125K/yr

Hands-on experience with development and implementation of machine learning (ML) models. * Basic proficiency in mathematics and statistics. * Experience with general-purpose programming languages (e ...

SMX

Assessments Junior Data Analyst (part-time)

Aiea, HI · On-site

$17 - $30/hr

Hands-on experience with development and implementation of machine learning (ML) models * Basic proficiency in mathematics and statistics * Experience with general-purpose programming languages (eg ...

New

Cymertek Corporation

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

Cymertek Corporation is seeking an innovative Analytic Cloud Developer to join their team. In this ... with machine learning • Understanding of big data frameworks • Strong collaboration and ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI

$99K - $225K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Hawaii

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 popular job titles related to Machine Learning Engineer Biotech jobs in Hawaii?

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

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

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

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

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

Machine Learning Engineer Biotech jobs near you

Assessments Data Scientist (Temporary)

SMX

Aiea, HI

Temporary

Posted 21 days ago

Job description

The Assessments Data Scientist supports SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a fast-paced, cross-functional environment, integrating technical expertise with mission-focused problem solving to support Department of Defense priorities. Secret Clearance required, must be able to obtain TS/SCI

This position requires an active DoD Top Secret clearance with SCI eligibility which requires US citizenship for work on DoD contracts.

This position is working onsite in Aiea, Hawaii.

Essential Duties & Responsibilities

  • Develop, design, and document technical data solutions that translate operational requirements into data-driven capabilities.
  • Build, train, and implement machine learning and predictive models to support operational planning and analysis.
  • Formulate and execute end-to-end data modeling processes, including data collection, preprocessing, analysis, and delivery of analytical outputs.
  • Structure and preprocess datasets to extract actionable insights and prepare data for modeling and visualization. 
  • Develop analytical dashboards and visualization tools to support decision-making and communicate findings effectively.
  • Collaborate with cross-functional stakeholders, including planners, operators, and technical teams, to refine requirements and deliver solutions.

Required Skills & Experience 

  • Hands-on experience with development and implementation of machine learning (ML) models.
  • Basic proficiency in mathematics and statistics.
  • Experience with general-purpose programming languages (e.g., Python, C++).
  • Skilled in data manipulation, processing, and analysis.
  • Familiarity with building secure software using modern security principles.
  • Strong collaboration and interpersonal communication skills.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics). 
  • Minimum of 5 years of hands-on experience in big data analysis and data-driven solution development.
  • Must possess an active DoD Top Secret clearance with SCI eligibility (U.S. citizenship required).

Desired Skills & Experience 

  • SOF experience
  • Joint experience
  • SOCPAC/INDOPACOM experience

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About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

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