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Phd Chemistry Machine Learning Jobs (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI

MS. or PhD in Machine Learning, or related field * Extensive AWS or GCP experience putting scalable Machine Learning systems into production. * Experience working with extremely high volume / high ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.Self-motivated with proven ability to effectively prioritize and deliver ...

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How much do phd chemistry machine learning jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for phd chemistry machine learning in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Chemistry professional specializing in Machine Learning, and why are they important?

To thrive as a PhD Chemistry professional specializing in Machine Learning, you need deep expertise in chemistry, strong programming skills (e.g., Python), and advanced knowledge of machine learning algorithms, typically supported by a doctoral degree. Familiarity with tools like TensorFlow, PyTorch, cheminformatics platforms, and statistical analysis software is commonly required. Effective problem-solving, interdisciplinary collaboration, and clear communication are vital soft skills in this field. These abilities are critical for developing innovative computational models, driving scientific discovery, and translating data-driven insights into practical chemical solutions.

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

AspectPhd Chemistry Machine LearningData Scientist
Required CredentialsPhD in Chemistry or related field, expertise in machine learningBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, R&D departments, academia, industry research teamsTech companies, finance, healthcare, consulting firms
Industry UsageDeveloping ML models for chemical data analysis, drug discovery, materials scienceBuilding predictive models, data analysis, business insights across sectors

While both roles involve machine learning, Phd Chemistry Machine Learning specialists focus on applying ML techniques to chemical and scientific data, often within research or industry R&D. Data Scientists have a broader scope, working across various industries to analyze data and develop models. The key difference lies in domain expertise and application focus.

How does a PhD in Chemistry with a focus on Machine Learning typically collaborate with interdisciplinary teams in industry settings?

Professionals in this role often work closely with chemists, data scientists, and software engineers to design experiments, analyze complex datasets, and develop predictive models. Effective communication is key, as you may need to translate chemical concepts into machine learning frameworks and vice versa. Regular meetings and collaborative projects are common, allowing you to contribute your chemistry expertise while learning from colleagues in computing and engineering. This interdisciplinary environment fosters innovation and can open pathways to leadership or specialized research roles.

What is a PhD in Chemistry with a focus on Machine Learning?

A PhD in Chemistry with a focus on Machine Learning is a doctoral program that combines advanced chemistry research with computational techniques from machine learning and artificial intelligence. Students in this program apply machine learning algorithms to solve complex chemical problems, such as predicting molecular properties, accelerating drug discovery, or analyzing large datasets from experiments. This interdisciplinary field prepares graduates for careers in academia, industry, or research, where they can leverage computational tools to advance chemical science.
Infographic showing various Phd Chemistry Machine Learning job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

Compound Manager

Superluminal Medicines, Inc.

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About Superluminal Medicines:
Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company's platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.
About the role:
Superluminal Medicines, Inc. is seeking a highly organized, detail oriented, and experienced Compound Manager to help us build and execute a fully integrated, automated, and data-driven compound management. This role is essential to ensure that the scientists can focus on the science and trust that every experimental data point that is collected is underpinned by confidence in the compounds being tested. The person that fills this role understands how fundamental and critical compound management is to the experimental data being generated and how important data capture, recording, and communication is to drug discovery.
Superluminal's platform aims to develop candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. The ideal candidate is highly motivated, thrives in a startup environment, and brings strong experience in compound management.
Key responsibilities:
  • Key business partner to chemistry and biology
  • Monitor Smartsheets for weekly orders then coordinate orders of weekly shipments from external compound management CROs. Regularly communicate with the chemistry and biology team around order progress and any hurdles encountered.
  • Update Smartsheets with compound and mother plate inventories. Monitor inventories and flag compounds for resynthesis as needed.
  • Manage and track shipments between CROs and Superluminal.
  • Execute internal compound management capabilities:
    • Maintain internal inventory
    • Receive and evaluate plates for potential issues, flagging to chemistry and biology as appropriate
    • Create assay ready plates using in house automation
    • Create cherry pick plates from mother plates for follow-up
    • Generate QC plates and prepare for shipment or internal analysis
  • Develop, document, and maintain SOPs
  • Ensure compliance with all laboratory safety requirements including OSHA, biosafety, chemical hygiene and other regulatory standards
  • Identify inefficiencies in our operational processes and implement solutions to address them

Qualifications & Skills:
  • Bachelor's degree in Biology, Chemistry, or closely related field
  • 5+ years of industry experience in compound management
  • Experience coordinating efforts with external CROs
  • Experience with laboratory automation
  • Experience with Smartsheets or other tracking systems a plus
  • Strong attention to detail
  • Highly organized self-starter with a strong ability for problem solving and effective execution
  • Strong communication skills and ability to work effectively across multiple tasks
  • Ability to work onsite full-time

Benefits:
Superluminal offers a comprehensive benefits package that fully covers employees' annual deductibles and monthly premiums for medical, dental, and vision insurance. The package also includes a 401(k) match program, a Massachusetts transportation subsidy, equity, unlimited paid time off, and both disability and life insurance.
Equal Opportunity Statement:
Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.

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