AI Research Scientist II

EPM Scientific; Cambridge (MA); On-site; USD 200,000 - 250,000; Full time

Job summary

An ambitious biotechnology company in Cambridge, MA, is seeking an AI Research Scientist II to join their ML group. In this mid-senior level role, you will design and deploy innovative machine learning models that will drive advancements in therapeutic discovery. Candidates should have a Ph.D. and strong programming skills in Python, alongside expertise in machine learning applications. This is a full-time position with competitive salary ranging from $200,000 to $250,000 annually.

Qualifications

• Ph.D. (or equivalent) in a quantitative field.
• Strong programming skills in Python.
• Expertise in developing machine-learning models.

Responsibilities

• Design and implement models for biological data insights.

Skills

Programming in Python

Deep-learning frameworks (e.g., PyTorch)

Machine learning expertise

Data analysis

Communication skills

Education

Ph.D. in Computer Science or related field

Job description

Overview

We’ve partnered with an ambitious biotechnology company that applies state‑of‑the‑art machine learning to tackle high‑impact challenges in therapeutic discovery. As a core member of their ML group, you will design, implement, and deploy novel models that unlock insights from large‑scale biological data — directly accelerating the development of tomorrow's medicines.

Base pay range

$200,000.00/yr - $250,000.00/yr

Job title

Recruitment Consultant – Discovery Research | ML & AI4Science — Title: AI Research Scientist II

Responsibilities

• Design, implement, and deploy novel models that unlock insights from large‑scale biological data — directly accelerating the development of tomorrow's medicines.

Qualifications

Basic Qualifications

• Ph.D. (or equivalent research experience) in Computer Science, Machine Learning, Computational Biology, or a related quantitative field.


• Strong programming skills in Python and proficiency with a deep‑learning framework such as PyTorch.


• Demonstrated expertise in developing and evaluating machine‑learning models.


• Experience extracting clear insights from large, noisy datasets.


• Excellent written and verbal communication skills.

Preferred Qualifications

• Prior application of machine learning to protein or nucleotide sequence design.


• Hands‑on industry experience taking ML models from research to production.


• Peer‑reviewed publications in leading AI or computational‑biology venues.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Science

Industries

• Hospitals and Health Care