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Director Machine Learning Biology Jobs in Texas (NOW HIRING)

ADT Security Services

Director AI ML

Irving, TX · Remote

Leveraging deep expertise in statistical modeling, machine learning, and scalable AI, the Director will translate ADT's vast data assets-from smart home IoT telemetry to customer touchpoints-into ...

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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.

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Director Machine Learning Biology jobs near you

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX • On-site

$14.25 - $19/hr

Part-time, Internship

Re-posted 26 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

191st of 631 rated colleges and universities

Job description

Summary

The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. 

Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution. 
Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences. 
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

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