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Machine Learning Engineer Biotech Jobs in Reno, NV

Statics Tutor

Reno, NV · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Customs Brokerage Agent

Reno, NV · On-site

$22 - $28/hr

Basic understanding of AI, machine learning, LLMs, and prompt engineering. * Ability to troubleshoot technical issues independently. Business Skills * Strong analytical and problem-solving abilities.

Basic understanding of AI, machine learning, LLMs, and prompt engineering. * Ability to troubleshoot technical issues independently.   Business Skills * Strong analytical and problem-solving ...

Experience with or strong interest in AI and machine learning is a plus Nice to have: * You're an active Replit user * You've worked at an early-stage startup or in developer tools * Experience ...

New

... Learning & Development Opportunities Inclusive and Diverse Team Environment Essential Functions ... engineering experience with specific knowledge of machinery, electricity, electronics, plumbing ...

Collaborates with engineering, production, and maintenance teams to support new product launches ... Requires strong technical expertise in machining, stamping, and die maintenance, along with proven ...

Showing results 41-60

Machine Learning Engineer Biotech information

See Reno, NV salary details

$31.4K

$128.4K

$192.9K

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

As of Aug 20, 2026, the average yearly pay for machine learning engineer biotech in Reno, NV is $128,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,500.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

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?

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 are popular job titles related to Machine Learning Engineer Biotech jobs in Reno, NV?

For Machine Learning Engineer Biotech jobs in Reno, NV, the most frequently searched job titles are:

Infographic showing various Machine Learning Engineer Biotech job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,391 per year, or $61.7 per hour.

$18 - $40/hr

Part-time

Re-posted 19 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

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Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statics Tutor
  • Advanced Subject Mastery: Deep knowledge of force systems, equilibrium of particles and rigid bodies, free body diagrams, trusses, frames and machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain vector resolution, moment calculations, method of joints and sections, and static equilibrium conditions while preparing students for dynamics, mechanics of materials, and engineering design coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, force resolution, and equilibrium equation setup. Guides students through analyzing two-dimensional and three-dimensional force systems, solving truss problems using method of joints and sections, computing centroids of composite shapes, and calculating friction forces. Emphasizes systematic problem-solving approaches and connects statics to structural analysis, machine design, and construction engineering.
  • Curriculum Awareness & Adaptive Instruction: Familiar with engineering statics curricula and common challenges such as drawing accurate free body diagrams, identifying correct equilibrium equations, and handling three-dimensional force systems. Adapts instruction using step-by-step problem-solving frameworks, visual force diagrams, and practice problems of increasing complexity to support first and second year engineering students building foundational mechanics skills.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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