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Associate Machine Learning Chemistry Jobs in Oregon

OR

$175K - $190K/yr

Ideal Candidate: * Advanced degree in Mass spectrometry, Biophysical chemistry, Analytical ... Experience leveraging artificial intelligence (AI) and machine learning (ML) to enhance analytical ...

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

OR · On-site

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Development of machine learning models and other analytics following established workflows, while ...

OR

$114K - $137K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning ... Databricks certifications - Associate/Professional * AWS Certified Solutions Architect - Associate ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

... machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

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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 are Associate Machine Learning Chemists?

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 Oregon? For Associate Machine Learning Chemistry jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Chemistry jobs in Oregon look for? The top searched job categories for Associate Machine Learning Chemistry jobs in Oregon are:
What cities in Oregon are hiring for Associate Machine Learning Chemistry jobs? Cities in Oregon with the most Associate Machine Learning Chemistry job openings:

Associate Director, Analytical Sciences and Attribute Characterization

Spyre Therapeutics

OR

$175K - $190K/yr

Other

Medical, Retirement, PTO

Posted 15 days ago


Job description

Role Summary:

The Associate Director, Analytical Sciences and Attribute Characterization, oversees structural and functional characterization and comparability studies across Spyre's clinical and late-stage mAb and mAb-mAb combination programs. This role is a key leader within the Analytical Development and Quality Control (ADQC) organization and reports directly to the Vice President.

The position provides both strategic and operational leadership for analytical characterization and comparability, in close collaboration with internal process, analytical, and regulatory teams, as well as global CDMO partners. The Associate Director defines phase-appropriate characterization and comparability strategies that support formulation, process, and analytical development, quality control, and regulatory submissions, aligned with regulatory expectations and industry best practices. This role drives proactive planning to ensure efficient advancement of drug candidates through clinical development stages.

Key Responsibilities:

  • Provide strategic and technical leadership for multidimensional biologics characterization to support product understanding and comparability in a phase-appropriate manner, enabling regulatory submissions for clinical development through BLA & MAA, primarily executed through global CDMO partners.
  • Serve as subject matter expert (SME) in mAb and mAb-mAb combination product molecular characterization and comparability, applying a fit-for-purpose suite of biochemical, biophysical, physicochemical, and functional assays (e.g., advanced mass spectrometry, capillary and chromatographic methods, deterministic biophysical and particle analyses, Fc function assays including SPR, cell-based assays, and surfactant analysis).
  • Contribute to analytical control strategies and regulatory content development, ensuring scientific rigor, comprehensive product understanding, and assessment of process impacts on product quality attributes across DS, DP, placebo, and device manufacturing.
  • Lead comparability and characterization activities at CDMOs, including review and approval of protocols, reports, and data packages, and verification of analytical results to support regulatory submissions.
  • Ensure analytical activities, both internal and external, meet scientific, regulatory (FDA, EMA, ICH), and industry standards.
  • Develop characterization strategies in collaboration with analytical SMEs, ensuring alignment and complementarity with QC methods for release, stability, and in-process controls.
  • Partner with process (DS, DP, device) and regulatory teams to establish product-appropriate characterization and comparability plans.
  • Support ADQC activities, including method development, investigations, and review of QC release and stability data, as needed.
  • Establish best practices and protocols for structure-function relationships, post-translational modification (PTM) analysis, biophysical characterization, and critical quality attribute (CQA) assessment.
  • Other duties as assigned. 

Ideal Candidate:

  • Advanced degree in Mass spectrometry, Biophysical chemistry, Analytical Chemistry, Pharmaceutical Sciences, Biochemistry or a related discipline, with 8+ years of biopharma industry experience in biologics analytical, formulation or process development.
  • Demonstrated experience and success supporting regulatory submissions (IND, CTA, BLA), with strong expertise in phase-appropriate characterization and comparability studies and associated analytical methods.
  • Proven leadership and effective communication skills, with the ability to manage biologics program deliverables in a fast-paced environment; experience with mAb combination products is preferred, and device testing is an advantage.
  • Experience leveraging artificial intelligence (AI) and machine learning (ML) to enhance analytical efficiency, automate attribute trending, and support knowledge generation and decision-making.

What We Offer:

  • Opportunity to work in a fast-paced, dynamic environment where you help shape the culture of our young company, contribute broadly to advance meaningful medicines, and learn quickly.
  • Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits.
  • Unlimited PTO
  • Two, one-week company-wide shutdowns each
  • Commitment to provide professional development opportunities.
  • Remote working environment with frequent in-person meetings to address complex problems and build relationships.

The expected salary range offer for this role is $175,000 to $190,000. Actual pay offered may vary depending on job related knowledge, experience, education, and geographic location.