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Associate Machine Learning Chemistry Jobs in Pennsylvania

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business ...

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business ...

The Pennsylvania State University

POSITION SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular ...

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Associate Machine Learning Chemistry information

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What is an associate machine learning chemistry?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an associate machine learning chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an associate machine learning chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.
What are popular job titles related to Associate Machine Learning Chemistry jobs in Pennsylvania? For Associate Machine Learning Chemistry jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Chemistry jobs in Pennsylvania look for? The top searched job categories for Associate Machine Learning Chemistry jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Associate Machine Learning Chemistry jobs? Cities in Pennsylvania with the most Associate Machine Learning Chemistry job openings:
Associate Machine Learning Chemistry jobs near you

Postdoctoral Research Associate - Pfenning lab

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 7 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 617 rated colleges and universities

Job description

Description
The purpose of this job is to participate in the Pfenning laboratory's work on the Vertebrate Genomes Project (VGP). The VGP is an international consortium that is sequencing, assembling, and analyzing genomes across the vertebrate evolutionary tree. The scientist will be conducting mentored research to apply machine learning approaches to find genome sequence signals responsible for the evolution of cell type-specific gene regulatory programs. They will be applying that analysis to study the genetic basis of behavior and to engineer cell type-specific genetic tools.
Qualifications
The candidate should have completed a Ph.D. in bioinformatics or a related field.
The candidate is expected to have experience analyzing genomic data using machine learning methods.
Application Instructions
Applications should be submitted through Interfolio. Applicants should submit a curriculum vitae, describing past work and proposed future directions, a short cover letter and three letters of reference submitted directly by the referees.

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