ZipRecruiter

Log In

1

Machine Learning Biology Jobs in Indiana (NOW HIRING)

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

Co-Op, Applied Technologies (Spring 2027)

Gary, IN · On-site

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

Moderna

$20 - $60/hr

Exposure to biological laboratory workflows or biotechnology/pharmaceutical development. * Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced ...

previous page

Showing results 41-60

All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Indiana

Machine Learning Biology information

See Indiana salary details

$21.9K

$49.7K

$70.9K

How much do machine learning biology jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning biology in Indiana is $49,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $57,600.00 per year, depending on experience, location, and employer.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are the most commonly searched types of Machine Learning Biology jobs in Indiana?

The most popular types of Machine Learning Biology jobs in Indiana are:

What are popular job titles related to Machine Learning Biology jobs in Indiana?

For Machine Learning Biology jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biology jobs in Indiana look for?

The top searched job categories for Machine Learning Biology jobs in Indiana are:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Indiana as of September 2026, with employment types broken down into 1% Internship, 2% As Needed, 74% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $49,662 per year, or $23.9 per hour.

AI Enabled Automation Architect

Indianapolis, IN

Vailexa
See more jobs at Vailexaexternal

Part-time

Re-posted 11 days ago

Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Position Overview:
Client is seeking an AI Enabled Automation Architect dedicated to Site Automation Engineering to support advanced pharmaceutical manufacturing initiatives. This role focuses on the continued development, maturation, and application of reusable phase libraries, equipment module abstractions, and digital knowledge structures that enable scalable and repeatable manufacturing automation. The role operates within a GxP and GMP regulated environment and works closely with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases. Required Qualifications
  1. Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows; specifically batch process experience, not continuous process control.
  2. Minimum 6 years of hands-on, batch-specific DeltaV configuration experience (not continuous), plus working knowledge of MES, data integration, and digital manufacturing architectures.
  3. Pharmaceutical or life sciences manufacturing experience; Small Molecule experience specifically preferred, with biologics, advanced therapies, or multi-modality experience considered a plus.
  4. Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
  5. Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
  6. Experience designing modular, reusable technical frameworks rather than one-off implementations.
  7. Hands-on experience with AI or machine learning tools in an regulated technical environment, with the aptitude and willingness to grow into more advanced AI-driven workflows (e.g. agentic architectures).
  8. Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
  9. Strong cross-functional engagement skills with automation, process engineering, operations, PT&E, quality, and related stakeholder groups.
Preferred Capabilities
  • AI-enabled analysis, decision support, or knowledge-system experience in regulated technical environments; particularly agentic architecture and coding experience (e.g. Claude Code, Codex).
  • Change-management, training, and governance experience to help operationalize adoption across functions.
  • Familiarity with data integrity principles (ALCOA+) and data governance frameworks.
  • Experience with Kneat, ValGenesis, or similar electronic validation management systems.

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.

???? Apply now and start building your journey with Vailexa.