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Machine Learning Engineer Biotech Jobs in Honea Path, SC

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

CI Engineer

Anderson, SC · On-site

$72K - $96K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... machines to improve efficiencies of all equipment in the paper making process. • Organize ...

CI Engineer

Anderson, SC · On-site

$72K - $96K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... Responsible for providing technical support for converting machines to improve efficiencies of all ...

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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 Jun 5, 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:
Infographic showing various Machine Learning Engineer Biotech job openings in Honea Path, SC as of May 2026, with employment types broken down into 19% Internship, and 81% Full Time. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $120,304 per year, or $57.8 per hour.

Logistics Engineer

Rexroth

Fountain Inn, SC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Description

Our drive and control technologies ensure efficient, powerful and safe movement in machines and systems of any size. We inspire our customers with intelligent components, tailored system solutions, and services – from fully connected applications to the factory of the future. Bosch Rexroth is dedicated to making the world a better place through innovation and technology. We are looking for associates who will take on our customers’ challenges with passion and persistence until the right solution is found and who will thrive in a face-paced, collaborative and exciting environment.

Why work with Bosch Rexroth?

  • Challenging Projects: We are driven by innovation and being at the cutting edge of everything that we do. At Bosch Rexroth every day is different and your time will be filled with interesting and exciting projects.
  • Amazing Colleagues: Our people make us who we are, and we are very proud of our diverse and skilled global team. Having a supportive and encouraging team around you can make all the difference.
  • Learning and Development: We want you to reach your fullest potential, for both yourself and for Bosch Rexroth. That’s why we actively promote growth and development.
  • Change the World: We want to give you the opportunity to not only drive your career forward but also to change the world. The work we do at Bosch Rexroth can make a big difference to the world around you.
  • Social & Value-Driven: We have a tradition of assuming social responsibility in all that we do. Our success, and our roadmap for the  future, is based on our lived values. This covers everything, from community to the environment, to being a social employer.
  • Flexibility & Freedom: We strive to give you a balance between your work and home life, as well as the freedom to drive your career forward.
  • International Opportunities: We are a truly global, fully networked company, with locations in more than 80 countries all over the world.

Join us and help set the world in motion!

 Mobile Applications: Full Power with Low Emissions

Whether it is digging construction trenches, drilling tunnels through solid rock or practicing sustainable forest management — mobile machines provide invaluable assistance by reducing the number of dangerous and laborious tasks. When developing such machines, manufacturers must constantly adapt to ever-changing conditions, such as the significant reduction in permissible emissions in accordance with TIER 4 Final emission standards. Rexroth shares such challenges with its customers. With new concepts for working and driving hydraulics, we ensure that our Customer's mobile machines meet these standards, making us the Global Leader in Mobile Hydraulics Applications!

We are one winning team empowered to serve our Customers and deliver.

Job Description

We are seeking a Logistics Engineer to support and continuously improve material flow across our manufacturing facility, including warehousing, receiving, and shipping operations. This role plays a key part in driving Lean production principles, Continuous Improvement (CIP), and cross-functional collaboration.

Success in this role requires not only strong analytical and process-design skills, but also the ability to coach, influence, and lead teams through improvement projects.

Key Responsibilities

Logistics & Operations

  • Design, analyze, and optimize material flow from receiving through production, warehousing, and shipping
  • Improve inventory management, storage layouts, and internal logistics systems to support production efficiency
  • Support capacity planning, line-side logistics, and space utilization initiatives
  • Collaborate with production, planning, quality, and purchasing to ensure smooth operations and maintain PFEP files.
  • Develop and maintain physical logistics PFMEA’s

Lean & Continuous Improvement

  • Lead and support CIP initiatives using Lean principles (e.g. value stream mapping, standard work, 5S, Kanban, pull systems)
  • Identify waste, bottlenecks, and variability within logistics and production support processes
  • Develop, implement, and sustain standardized processes and visual management tools
  • Track and report KPIs related to logistics performance and improvement activities

People & Project Leadership

  • Coach and guide operators, team leads, and supervisors through improvement projects
  • Facilitate workshops, Kaizen events, and problem-solving sessions
  • Act as a change agent, helping teams adopt new ways of working
  • Lead cross-functional project teams from concept through implementation
Qualifications

Qualifications & Experience

  • Bachelor’s degree in Industrial Engineering, Logistics, Supply Chain and 3-5 years of experience in a manufacturing environment with integrated warehousing and shipping operations 
  • Strong knowledge of Lean production systems and continuous improvement methodologies
  • Proven experience leading or supporting improvement projects
  • Comfortable working on the shop floor and engaging directly with teams

Skills & Competencies

  • Strong analytical and problem-solving skills
  • Excellent communication and facilitation abilities
  • Ability to influence without authority and build trust across teams
  • Structured, hands-on, and results-oriented mindset
  • Experience with SAP/WMS systems and data analysis tools is a plus

Additional Information

Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Bosch Benefits | Bosch in the USA

Want a closer look at life at Bosch? Follow our social channels and see what it’s like to work here:

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Equal Opportunity Employer, including disability / veterans

By submitting an application for employment with Bosch, you represent and warrant that: (a) the work product and materials you submit are your own and reflect your personal experience, skills and qualifications; and (b) you have not used artificial intelligence or automated tools to generate, alter, or enhance application materials or responses in a manner that misrepresents your identity, authorship, experience, capabilities or qualifications.