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Machine Learning Engineer Biotech Jobs in Honea Path, SC

... AI, machine learning, and advanced data analytics to support next-level solutions. You'll ... Bachelor's or equivalent degree in Electrical Engineering * Proficient in Electrical power system ...

Python Tutor

Greenville, SC · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Programming experience (e.g., JavaScript, C++, or similar) * Exposure to machine learning, AI, or predictive maintenance applications * Experience in highly automated manufacturing environments

Programming experience (e.g., JavaScript, C++, or similar) * Exposure to machine learning, AI, or predictive maintenance applications * Experience in highly automated manufacturing environments

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Machine Learning Engineer Biotech information

See Honea Path, SC salary details

$29.4K

$120.3K

$180.8K

How much do machine learning engineer biotech jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning engineer biotech in Honea Path, SC is $120,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,800.00 per year, depending on experience, location, and employer.

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.

What cities near Honea Path, SC are hiring for Machine Learning Engineer Biotech jobs? Cities near Honea Path, SC with the most Machine Learning Engineer Biotech job openings:
Presales Structural Engineer

Presales Structural Engineer

Vertiv Group Corp.

Pelzer, SC • On-site

Full-time

Re-posted 10 days ago


Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

316th of 427 rated machine equipment manufacturers


Job description


POSITION OVERVIEW
Join Vertiv as a Presales Structural Engineer in our Infrastructure Solutions team and play a key role in shaping the future of cutting-edge modular solutions for data centers, industrial facilities, and critical infrastructure at scale. This is your opportunity to lead the way in developing innovative, sustainable, and functional structural designs that support the rapidly evolving needs of AI-driven technologies and next-generation data center environments.
At Vertiv, you'll work alongside a multidisciplinary team of engineering experts, leveraging and supporting emerging technologies such as AI, machine learning, and advanced data analytics to support next-level solutions. You'll contribute to groundbreaking projects that are transforming the way the world builds and deploy high-performance infrastructure for leading global IT and tech companies.
Help us define the future of scalable, resilient, and efficient infrastructure to meet the demands of tomorrow's connected world.
RESPONSIBILITIES
Designing Modular Steel Structures:
Support the development of structural design for low- to medium-complexity modular steel buildings. Prepare structural 3D models, perform static and dynamic calculations, and generate technical documentation such as workshop drawings, lifting and anchoring layouts, and specifications.
Ensuring Compliance and Best Practices:
Apply international, national, and internal standards, ensuring that all designs are safe, compliant, and cost-effective. Integrate good engineering practices into every stage of the design process.
Collaborating Across Teams:
Actively participate in project kick-off and coordination meetings, and engage with cross-functional teams including architectural, electrical, mechanical, manufacturing, and site engineers to ensure cohesive project execution.
Approving and Reviewing Documentation:
Support the review and technical approval of subcontractor workshop documentation and supplier offers. Specify materials, services, and necessary certifications for project execution.
Supporting Execution and Site Activities:
Provide technical support during fabrication and assembly. Collaborate with site managers, manufacturing, quality control, and commissioning engineers to resolve structural issues and ensure safe and efficient implementation.
QUALIFICATIONS
Education: Degree in Structural Engineering or Civil Engineering with a structural focus
Firm theoretical knowledge backed-up by experience
Experience: 3+ years
Language: Fluent in English
Software Skills: Proficiency in Tekla, Revit, AutoCAD, Robot, SCIA Engineer, IDEA StatiCa, anchoring design tools, and MS Office
Key Competencies: Attention to detail, analytical thinking, creativity, problem-solving, organization, flexibility, and strong team collaboration
TIME TRAVEL REQUIRED
  • 5%

The successful candidate will embrace Vertiv's Core Principles & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Inclusion.
OUR STRATEGIC PRIORITIES
• High-Performance Culture• Customer Focus
• Operational Excellence
• Innovation
• Financial Strength
VERTIV BEHAVIORS
• Own it
• Act with urgency
• Foster a customer-first mindset
• Think big and execute
• Lead by example
• Drive continuous improvement
• Learn and seek out development
• Promote transparent & open communication
About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.
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