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Director Machine Learning Biology Jobs in Alabama

... cancer biology, precision medicine, and related biomedical fields. This position offers the ... Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and ...

Job Title: Director, Platform Architecture Reports to: Chief Digital & Data Officer Location ... and machine learning enablement * Promote architectural patterns that enable resilience ...

For those who want to keep growing, learning, and evolving. We at Kelly ® hear you, and we're here ... Requests for accommodation related to our application process can be directed to the Kelly Human ...

Digital/Machine Learning, Small Angle X-Ray Scattering (SAXS) and/or cryogenic electron microscopy (cryo-EM) including data interpretation for biologics, materials, or vaccines. About Parexel Parexel ...

Showing results 41-60

Director Machine Learning Biology information

What is the difference between Director Machine Learning Biology vs Data Scientist Biology?

AspectDirector Machine Learning BiologyData Scientist Biology
Required CredentialsAdvanced degrees (PhD/Master's) in Biology, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Biology, or related fields; programming skills; some experience in machine learning
Work EnvironmentLeadership roles in R&D teams, strategic planning, overseeing projectsData analysis, model development, research, and reporting
Employer & Industry UsageBiotech, pharmaceutical companies, research institutionsBiotech, healthcare, research organizations, academia

The main difference is that the Director Machine Learning Biology focuses on leading teams and strategic initiatives in applying machine learning to biological data, while Data Scientist Biology primarily conducts data analysis and model development within biological research projects. The director role involves higher-level management and oversight, whereas the data scientist role is more hands-on with data and algorithms.

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

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

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

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

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

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

What cities in Alabama are hiring for Director Machine Learning Biology jobs?

Cities in Alabama with the most Director Machine Learning Biology job openings:

Infographic showing various Director Machine Learning Biology job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Electrical Engineering & Computer Science / Patent Agent - Birmingham

Direct Counsel

Birmingham, AL • On-site, Remote

$140K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Direct Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to all offices with emphasis on Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills.

Responsibilities:

  • Prepare and prosecute patent applications in electrical engineering and software-related technologies

  • Conduct patentability searches and analysis

  • Draft responses to USPTO office actions

  • Collaborate with attorneys and clients to develop patent strategies

  • Review and analyze technical disclosures

Qualifications:

  • 2+ years of relevant patent preparation and prosecution experience

  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics

  • Admission to the USPTO required

  • Excellent writing, communication, and analytical skills

  • Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred

Compensation:

  • Salary range: $110,000 - $190,000 depending on experience

  • Discretionary performance-based bonus may be available

  • Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off

Application Requirements:
Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).