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Ml Bio Solutions Jobs (NOW HIRING)

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

About Pivot Bio: Fueled by an innovative drive and a deep understanding of microbiology, genomics ... We are dedicated to providing new solutions for farmers to improve yield as they work to help feed ...

Profluent

ML Platform / MLOps Engineer

Emeryville, CA · On-site +1

$200K - $330K/yr

Evaluate different open source infrastructure solutions and cloud providers * Build and maintain ... Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the ...

Profluent

ML Platform / MLOps Engineer

Emeryville, CA

$180K - $250K/yr

Evaluate different open source infrastructure solutions and cloud providers * Build and maintain ... Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the ...

Cradle

Solutions Consultant, Machine Learning

The Role As a ML-focussed Solutions Consultant on our Commercial team, you're the person who speaks ... We only communicate via @cradle.bio email addresses, we only make job offers after having met you ...

Bio-Techne

Senior Inventory Analyst

San Jose, CA · On-site

$79K - $131K/yr

Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent ... Analytical Solutions Division). This role sits at the intersection of operations, quality, and ...

Bio-Techne

Senior Inventory Analyst

San Jose, CA · On-site

$79K - $131K/yr

Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent ... Analytical Solutions Division). This role sits at the intersection of operations, quality, and ...

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All JobsMl Bio Solutions Jobs

Ml Bio Solutions information

See salary details

$37.5K

$122.7K

$196.5K

How much do ml bio solutions jobs pay per year?

As of Jun 14, 2026, the average yearly pay for ml bio solutions in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Ml Bio Solutions vs Data Scientist?

AspectMl Bio SolutionsData Scientist
Required CredentialsBiotech or bioinformatics background, certifications in machine learning or bioinformaticsStatistics, computer science, or related degrees, often with certifications in data analysis
Work EnvironmentBiotech labs, research facilities, healthcare settingsCorporate offices, tech companies, research institutions
Employer & Industry UsageBiotech firms, pharmaceutical companies, healthcare organizationsTech companies, finance, consulting, research institutions

While both roles involve machine learning, Ml Bio Solutions focus on applying these techniques specifically within biotech and healthcare contexts, often requiring specialized biological knowledge. Data Scientists have a broader scope across industries, emphasizing data analysis and modeling across various sectors.

More about Ml Bio Solutions jobs
What cities are hiring for Ml Bio Solutions jobs? Cities with the most Ml Bio Solutions job openings:
What states have the most Ml Bio Solutions jobs? States with the most job openings for Ml Bio Solutions jobs include:
What job categories do people searching Ml Bio Solutions jobs look for? The top searched job categories for Ml Bio Solutions jobs are:
Ml Bio Solutions jobs near you
Infographic showing various Ml Bio Solutions job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 9% As Needed, 9% Full Time, 6% Temporary, 69% Contract, and 4% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Software Engineer, AI and ML Platforms

Senior Software Engineer, AI and ML Platforms

Bio-Techne

San Jose, CA • On-site

$132K - $217K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Bio-Techne rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
Pay Range:
$132,400.00 - $217,600.00
Bio-Techne develops innovative software and instrumentation solutions that help scientists generate accurate, reproducible biological data at scale. As our software portfolio evolves toward SaaS-based delivery models, we are embedding AI-driven intelligence directly into our platforms to improve usability, automation, and scientific insight.
This Senior Software Engineer role sits at the intersection of AI engineering, cloud-native microservices, and enterprise SaaS platforms. You will lead the design and implementation of scalable backend services that power AI-enabled features across Bio-Techne software products. This role is ideal for an experienced engineer who enjoys owning architecture, mentoring others, and delivering production-grade systems used in regulated scientific environments.
This is a hybrid position based out of our San Jose, CA site.
Responsibilities:
  • Lead the design and development of cloud-native, microservices-based backend systems supporting Bio-Techne software products
  • Design, build, and deploy AI-powered services, including LLM-based assistants, recommendations, and automation workflows
  • Develop scalable REST and event-driven APIs that integrate AI services with instrument software and customer-facing applications
  • Architect and implement Retrieval-Augmented Generation (RAG) pipelines over scientific, operational, and customer data
  • Partner with central IT, Enterprise Data, and Infrastructure teams to align AI services with shared platform standards. This includes MLOps practices, data access governance, observability frameworks, and security controls, ensuring that POC work can be reliably promoted to production environments.
  • Establish and maintain MLOps practices for model versioning, evaluation, monitoring, and retraining - ensuring AI services degrade gracefully and remain reliable over time.
  • Collaborate with product management, scientists, and UX teams to translate scientific workflows into AI-driven software capabilities
  • Ensure reliability, observability, security, and performance of distributed services operating in production environments
  • Drive technical standards for code quality, service ownership, and system architecture
  • Mentor junior engineers and contribute to design reviews, code reviews, and technical decision-making
  • Document system architecture, APIs, and operational considerations for internal and cross-functional stakeholders

Qualifications
Education & Experience:
  • B.S. in Computer Science, Software Engineering, or related technical field and 7+ years of relevant experience developing and operating production-grade software systems
  • Or, M.S. in Computer Science, AI/ML, or related discipline and 5+ years of relevant experience
  • Or, equivalent combination of relevant education and experience

Knowledge, Skills, and Abilities:
  • Strong proficiency in Python, Java, or similar backend languages with hands-on microservices experience
  • Demonstrated experience designing and operating cloud-native SaaS platforms
  • Experience building RESTful APIs using frameworks such as FastAPI, Flask, or Spring Boot
  • Hands-on experience integrating AI/ML or LLM-based services into real-world applications
  • Solid understanding of distributed systems, asynchronous processing, and service-to-service communication
  • Experience with containerization (Docker) and CI/CD pipelines
  • Strong written and verbal communication skills, including experience working across engineering and scientific teams
  • Strong ability to understand how systems work under the hood, with the ability to reason about and implement the underlying algorithms, evaluate the tradeoffs, and build new capabilities
  • Demonstrated ability to implement ML or information-retrieval algorithms; not solely through high-level frameworks (examples: custom retrieval, ranking and re-ranking strategies, embedding and chunking approaches, evaluation pipelines, or inference-time optimizations)
  • Demonstrated track record of designing and building novel systems or components, rather than primarily integrating off-the-shelf tools
  • Strong computer-science fundamentals: data structures, algorithmic complexity

Preferred Qualifications:
  • Experience with cloud platforms such as AWS or Azure
  • Familiarity with Kubernetes and multi-service deployment strategies
  • Experience managing the ML lifecycle, including but not limited to EDA, feature engineering, model training/tuning, validation, deployment, and maintenance
  • Experience with vector databases (pgvector, FAISS, Pinecone, or similar)
  • Experience with RAG frameworks such as LangChain or LlamaIndex
  • Exposure to scientific software, laboratory instrumentation, or regulated environments (GxP)
  • Experience designing systems with multi-tenant SaaS considerations and feature-based licensing

Why Join Bio-Techne:
  • We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
  • We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
  • We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
  • We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
  • We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
  • We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.
If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process, please contact hr@bio-techne.com for assistance.

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