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Director Machine Learning Biology Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Geico

Director, Machine Learning Engineering

Dallas, TX

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

Geico

Director, Machine Learning Engineering

Seattle, WA

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

Docusign

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

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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
Infographic showing various Director Machine Learning Biology job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Nanite Inc.

Boston, MA • On-site

Full-time

Posted 21 days ago

Job description

Our mission is to deliver the undeliverable.
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.
Knowledge, Skills, and Abilities
  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):
  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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