ML Performance Engineer, Drug Discovery jobs in United States
cer-icon
Apply on Employer Site
company-logo

Northeastern University · 2 hours ago

ML Performance Engineer, Drug Discovery

Northeastern University is a global research university and leader in experience-driven lifelong learning. The ML Performance Engineer will conduct applied research in the AI and Life Sciences team, focusing on developing AI algorithms for drug synergies and collaborating with academic and industry partners.

Education
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

(90%) Co-develop, collaboratively lead and participate in research projects that advance scientific knowledge and solve relevant societal and industrial problems. Participation in these projects will include working with graduate or undergraduate students, scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc
(5%) Represent the university in conferences, seminars, and other public events
(5%) Other assignments as deemed necessary

Qualification

Machine LearningAI Model DevelopmentComputational BiologyDrug Efficacy PredictionResearch Software DevelopmentEntrepreneurial MindsetCommunicationTeam Collaboration

Required

An MS in computer science, computational biology, or bioinformatics with a heavy focus on machine learning and AI model training and development by the appointment start date
About 1 year of research or work experience in an academic group. Corporate experience will be considered if it is aligned with the job role
A record of outstanding research, as evidenced by software outputs, and other scholarly measures of impact
Strong demonstrable background in machine learning. Must have demonstrable experience in building AI models for alternative splicing
Must have 1+ years of experience in computational approaches and datasets used in drug efficacy and toxicity predictions
Must have familiarity with data generated by cell screening assays, cell painting, and cheminformatics
Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of various kinds of ‘omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.)
Excellent written and verbal communication skills
Respect for diversity and the importance of interdisciplinary teams
Entrepreneurial mindset, self-starter, and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and work across multiple projects
Team-player who can collaborate effectively in a university setting and with corporate partners
Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University

Benefits

Medical
Vision
Dental
Paid time off
Tuition assistance
Wellness & life
Retirement-
Commuting & transportation

Company

Northeastern University

company-logo
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery.

H1B Sponsorship

Northeastern University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (131)
2024 (112)
2023 (104)
2022 (100)
2021 (85)
2020 (111)

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Angela Hosking
CEO Regional Dean
linkedin
leader-logo
Dave Thurman
Dean & CEO, Seattle Campus
linkedin
Company data provided by crunchbase