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Senior Fermentation Scientist Jobs in Raleigh, NC

Sennos

Sr ML/AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Position Summary The Senior ML / AI Engineer sits within the Data Team's AI, ML, and Data Science ... Experience building ML systems for scientific, industrial, sensor, IoT, manufacturing, fermentation ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... fermentation data warehouse. By owning the entire stack-from sensing hardware to data ... Working closely with senior data engineering leadership, data architecture, analytics engineering ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC · On-site

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

CRB

Senior Process Engineer - Liquid Systems

Raleigh, NC · On-site

$101K - $130K/yr

... global life sciences and food and beverage industries. Our employees provide best-in-class ... food, fermentation, dairy, dressings and sauces. * Strong understanding of sanitary design, CIP ...

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All JobsFermentation Scientist JobsSenior Fermentation Scientist JobsSenior Fermentation Scientist Jobs in Raleigh, NC

Senior Fermentation Scientist information

See Raleigh, NC salary details

$64.6K

$107.5K

$159.9K

How much do senior fermentation scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior fermentation scientist in Raleigh, NC is $107,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $121,500.00 per year, depending on experience, location, and employer.

What does a senior fermentation scientist do?

A Senior Fermentation Scientist is responsible for designing, developing, and optimizing fermentation processes used in industries such as biotechnology, pharmaceuticals, and food production. They lead research projects, supervise junior staff, and analyze experimental data to improve yield, efficiency, and quality of fermented products. Additionally, they collaborate with cross-functional teams to scale up laboratory processes to industrial production. Their expertise is crucial in troubleshooting issues and implementing new technologies in fermentation.

What opportunities for cross-functional collaboration can a senior fermentation scientist expect in their daily work?

As a Senior Fermentation Scientist, you will frequently collaborate with cross-disciplinary teams including microbiologists, process engineers, quality assurance specialists, and product development teams. This collaboration is crucial for scaling up fermentation processes, troubleshooting production challenges, and ensuring product consistency. You may also work closely with R&D and manufacturing departments to transfer lab-scale findings to pilot or full-scale operations, providing technical expertise and guidance throughout the process. Such teamwork not only enhances project outcomes but also offers valuable opportunities for professional growth and learning from diverse experts within the organization.

What are the key skills and qualifications needed to thrive as a senior fermentation scientist, and why are they important?

To thrive as a Senior Fermentation Scientist, you need a strong background in microbiology, biochemistry, and fermentation process development, typically supported by a relevant advanced degree (e.g., MSc or PhD). Experience with bioreactor systems, analytical instrumentation (such as HPLC or GC), and familiarity with industry-standard software and regulatory practices are important. Leadership, problem-solving, and effective communication skills help in managing projects, guiding teams, and collaborating across departments. These skills are crucial for optimizing fermentation processes, ensuring product quality, and driving innovation in competitive industrial and research environments.

What is the difference between Senior Fermentation Scientist vs Fermentation Technician?

AspectSenior Fermentation Scientist
QualificationsBachelor's or Master's in Microbiology, Biochemistry, or related field; extensive experience in fermentation research
Work EnvironmentResearch labs, R&D departments, biotech companies
ResponsibilitiesDesigning experiments, analyzing data, developing fermentation processes, overseeing projects
FocusInnovation, process optimization, scientific research

The Senior Fermentation Scientist typically holds advanced degrees and leads research projects, focusing on process development and innovation. In contrast, a Fermentation Technician performs routine fermentation operations, monitoring processes, and maintaining equipment. The roles differ mainly in scope, expertise, and responsibilities, with the Senior Fermentation Scientist playing a strategic research role and the technician executing day-to-day tasks.

What are popular job titles related to Senior Fermentation Scientist jobs in Raleigh, NC?

For Senior Fermentation Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Fermentation Scientist jobs in Raleigh, NC look for?

The top searched job categories for Senior Fermentation Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Fermentation Scientist jobs?

Cities near Raleigh, NC with the most Senior Fermentation Scientist job openings:

Senior Fermentation Scientist jobs near you
Infographic showing various Senior Fermentation Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,458 per year, or $51.7 per hour.

Sr ML/AI Engineer

Sennos

Durham, NC • On-site

$101K - $138K/yr

Full-time

Posted 4 days ago

Job description

About Sennos
Sennos is the pioneer and leader in automated fermentation monitoring and analysis. We unify cutting-edge hardware, AI-powered analytics, and intuitive interfaces to deliver the industry's most advanced sensing platform. Our mission is to transform the Fluid, Fermentation, and Bio-manufacturing industries by replacing outdated systems and practices with intelligent sensing and AI-driven predictive control. We are building the future today so our solution can anticipate, adapt, and evolve to unlock a new era of industrial creativity, sustainability, precision, and resilience.
Position Summary
The Senior ML / AI Engineer sits within the Data Team's AI, ML, and Data Science pod, supporting R&D, product development, and the build-out of Sennos' advanced machine learning capabilities. This is a new role on a new team, evolving from existing data engineering and data science capabilities into a dedicated machine learning engineering function. The role serves as a technical authority on advanced machine learning - helping Sennos formulate complex modeling problems, design rigorous experiments, build and evaluate sophisticated models, and move successful approaches into reliable production. This role operates in a high-ambiguity, early-stage environment. The ideal candidate is deeply hands-on and technically authoritative, comfortable moving fluidly between research-oriented exploration and production-oriented implementation, with sound judgment about when to experiment, when to simplify, and when a model is ready to operationalize.
Responsibilities
  • Lead the design and development of advanced machine learning models for complex scientific, product, and business problems, including problems that require unsupervised or other non-standard modeling approaches
  • Translate ambiguous real-world problems into well-structured machine learning experiments - defining objectives, selecting appropriate modeling approaches, designing evaluation strategies, and determining whether results are meaningful and actionable
  • Build, compare, and evaluate machine learning models with rigorous attention to statistical validity, model behavior, generalization, interpretability, and practical usefulness
  • Productionalize successful models and ML workflows, moving work from experimentation into reliable, maintainable systems that can be monitored, retrained, evaluated, and supported over time
  • Implement practical MLOps patterns appropriate to the models being developed, including reproducibility, model versioning, monitoring, drift detection, retraining workflows, evaluation frameworks, rollback planning, and lifecycle management
  • Help define Sennos' advanced ML practices, including experimentation standards, model development patterns, evaluation methods, documentation expectations, and approaches to model governance
  • Identify gaps in the tooling, infrastructure, and development environment required to support advanced ML work, and help define the capabilities needed to close those gaps in partnership with appropriate technical teams
  • Partner closely with Data Engineering, Analytics, Science, Product, and other stakeholders to identify high-value ML opportunities, clarify problem definitions, and ensure model outputs are useful in real workflows and products

Required Qualifications
Education:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field; advanced degree preferred; equivalent experience considered

Experience:
  • Significant hands-on experience designing, developing, evaluating, and productionalizing machine learning models in real-world environments
  • Deep understanding of machine learning and applied statistics, including the ability to formulate complex modeling problems and select appropriate methods based on the underlying data, objectives, and constraints
  • Demonstrated experience designing and executing rigorous ML experiments, including supervised and unsupervised approaches, model comparison, validation, and evaluation where ground truth may be incomplete or imperfect
  • Strong Python skills and practical experience writing maintainable code for machine learning, statistical modeling, experimentation, and production workflows
  • Demonstrated experience moving models from experimentation into production, including deployment, monitoring, retraining, reproducibility, versioning, testing, and lifecycle management
  • Strong judgment about when advanced machine learning is warranted and when simpler statistical, deterministic, or rules-based approaches are more appropriate
  • Ability to independently investigate ambiguous modeling problems, develop a technically sound approach, and communicate the reasoning, limitations, and trade-offs behind that approach
  • Experience helping establish or improve machine learning practices, technical standards, experimentation patterns, or model development processes within a team or organization
  • Ability to work effectively with product, science, data, and engineering stakeholders while remaining the technical authority on the machine learning approach
  • Strong organizational and communication skills, with the ability to operate independently, create structure in an emerging function, and guide others on advanced ML methods and practices

Skills:
  • Advanced machine learning and applied statistics (supervised, unsupervised, probabilistic methods)
  • Python and production-grade ML engineering (testing, versioning, reproducibility, monitoring)
  • MLOps practices: model deployment, drift detection, retraining workflows, lifecycle management
  • Experimental design and rigorous model evaluation
  • Independent problem framing and technical communication with cross-functional stakeholders

Preferred Qualifications
  • Experience with modern ML tooling such as feature stores, model registries, experiment tracking, orchestration, or model monitoring platforms
  • Experience with Snowflake, Snowpark ML, Snowflake Feature Store, Snowflake Model Registry, AWS, or similar cloud and data-platform-based ML capabilities
  • Experience building ML systems for scientific, industrial, sensor, IoT, manufacturing, fermentation, biotechnology, or other complex physical-world data domains
  • Familiarity with generative AI and related techniques such as LLM workflows, retrieval-augmented generation, or structured prompting, alongside a strong foundation in traditional ML

Physical Requirements and Work Environment
This is primarily a desk-based role with standard office physical requirements.
  • Ability to work at a computer for extended periods
  • Minimal travel expected

Our company is currently active in 17 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, PA, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.
This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.
Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Recruitment Agency Notice:
We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.
Equal Opportunity Statement
Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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