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Freelance Bioinformatics Machine Learning Jobs in Austin, TX

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

Experience with modern statistical inference and machine learning, including for machine vision applications * Experience with neural stimulation * Experience modeling the influence of electrical ...

Aledade

Clinical Informaticist

Austin, TX · On-site

$95 - $120/hr

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ... Experience in applying machine learning or AI technologies within healthcare settings.

Aledade PBC

Clinical Informaticist

Austin, TX · Remote

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ... Experience in applying machine learning or AI technologies within healthcare settings.

Aledade PBC

Clinical Informaticist

Austin, TX · On-site +1

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ... Experience in applying machine learning or AI technologies within healthcare settings.

Aledade PBC

Clinical Informaticist

Austin, TX · On-site

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ... Experience in applying machine learning or AI technologies within healthcare settings.

All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Austin, TX

Freelance Bioinformatics Machine Learning information

See Austin, TX salary details

$9

$30

$52

How much do freelance bioinformatics machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for freelance bioinformatics machine learning in Austin, TX is $30.98, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $50.05 per hour, depending on experience, location, and employer.

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Austin, TX?

For Freelance Bioinformatics Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Austin, TX look for?

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities near Austin, TX with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in Austin, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 56% Full Time, 9% Part Time, 2% Contract, 28% Nights, and 3% Summer. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $64,428 per year, or $31 per hour.

Neuroengineer, Next Gen

Neuralink

Austin, TX • On-site

$122K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.
Job Description and Responsibilities:
  • Develop computational models of, and design encoding strategies for, electrical stimulation
  • Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
  • Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
  • Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
  • Present results in a collaborative setting

Required Qualifications:
  • Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
  • 4+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications:
  • Experience with modern statistical inference and machine learning, including for machine vision applications
  • Experience with neural stimulation
  • Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
  • Experience modeling electric fields using finite element modeling (FEM)
  • Experience building and programming experimental instrumentation
  • Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$122,000-$226,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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