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Machine Learning Engineer Biotech Jobs in Hawaii

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Software Engineering, Information Technology, Computer ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

... Machine Learning Engineer, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Cloud Computing, Data Science, Information Technology, Software Engineering, Artificial ...

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

... Machine Learning Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Cloud Computing, Data Science, Information Technology, Software Engineering, Artificial ...

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive ...

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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Machine Learning Engineer Biotech information

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.

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 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.

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:
Data Scientist / Software Engineer

Data Scientist / Software Engineer

Cymertek

Honolulu, HI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Data Scientist / Software Engineer
LOCATIONHonolulu, HI 96815
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking a passionate and innovative Data Scientist / Software Engineer to join our team and help drive the development of data-driven software solutions. In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the scalability and reliability of the software. The ideal candidate will thrive in a collaborative environment, using their problem-solving skills to create impactful solutions that enhance business processes and decision-making. If you are eager to work on cutting-edge technology in a dynamic and growing field, we encourage you to apply and be part of our forward-thinking team.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***


SIMILAR CAREER TITLESData Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect.
DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Software Engineering, Artificial Intelligence, Applied Mathematics, Statistics, Information Technology, Computational Science, Electrical Engineering, Machine Learning, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and implement data-driven applications
  • Analyze and interpret complex datasets
  • Build and optimize machine learning models
  • Develop and maintain data pipelines and workflows
  • Collaborate with teams to translate data insights into actionable solutions
  • Document and present analytical results effectively
REQUIRED SKILLS
  • Proficiency in Python or R
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of data visualization tools (e.g., Tableau, Matplotlib)
  • Understanding of SQL and database management systems
  • Familiarity with data cleaning and preprocessing techniques
  • Ability to implement end-to-end data science solutions
DESIRED SKILLS
  • Familiarity with cloud platforms for data analytics (e.g., AWS, GCP)
  • Knowledge of big data technologies (e.g., Hadoop, Spark)
  • Experience with natural language processing
  • Understanding of advanced statistical and mathematical modeling
  • Familiarity with real-time data streaming tools
  • Ability to integrate predictive models into production systems

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
HOW TO APPLY

Email us at jobs@cymertek.com or apply today: www.cymertek.com

Want to see what our employees think? Click here .


EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.