... and machine learning techniques is considered a strong plus. This role will be in Cambridge, MA ... Set the analytical chemistry vision and strategy for discovery-stage mRNA-LNP programs, ensuring ...
... and machine learning techniques is considered a strong plus. This role will be in Cambridge, MA ... Set the analytical chemistry vision and strategy for discovery-stage mRNA-LNP programs, ensuring ...
... 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 ...
... 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 ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Machine Learning Scientist - Clinical Prediction
Boston, MA · On-site
$150 - $190/hr
JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant ...
New
Machine Learning Scientist - Clinical Prediction
Boston, MA · On-site
$150 - $190/hr
JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant ...
New
$148K - $186K/yr
JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant ...
$148K - $186K/yr
JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Quick apply
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a ...
Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a ...
AI Research Scientist III
Boston, MA · On-site
Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a ...
AI Research Scientist III
Boston, MA · On-site
Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$179K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience in a leadership role is preferred, as a project ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$179K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience in a leadership role is preferred, as a project ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$179 - $200/hr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists. * Experience in a leadership role is preferred, as a project ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$179 - $200/hr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists. * Experience in a leadership role is preferred, as a project ...
Director, Analytical Chemistry
Cambridge, MA · On-site
$167 - $300.70/hr
... and machine learning techniques is considered a strong plus.This role will be in Cambridge, MA ... Set the analytical chemistry vision and strategy for discovery-stage mRNA-LNP programs, ensuring ...
Director, Analytical Chemistry
Cambridge, MA · On-site
$167 - $300.70/hr
... and machine learning techniques is considered a strong plus.This role will be in Cambridge, MA ... Set the analytical chemistry vision and strategy for discovery-stage mRNA-LNP programs, ensuring ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
Principal Scientist, Medicinal Chemistry
$170K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience with leading, co-leading research project teams ...
Quick apply
Principal Scientist, Medicinal Chemistry
$170K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience with leading, co-leading research project teams ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$170K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience with leading, co-leading research project teams ...
Principal Scientist, Medicinal Chemistry
Watertown, MA · On-site
$170K - $200K/yr
Familiarity with machine learning and AI-driven platforms in drug discovery. * Experience leading and managing teams of external chemists * Experience with leading, co-leading research project teams ...
Post-Doctoral Fellow in Chemistry and Chemical Biology (Joonho Lee Lab)
Cambridge, MA · On-site
$67K - $80K/yr
The research will develop and utilize emerging machine learning tools to remove bottlenecks in many-body simulations. Responsibilities: 1. Conduct research in quantum chemistry. 2. Publish and ...
Post-Doctoral Fellow in Chemistry and Chemical Biology (Joonho Lee Lab)
Cambridge, MA · On-site
$67K - $80K/yr
The research will develop and utilize emerging machine learning tools to remove bottlenecks in many-body simulations. Responsibilities: 1. Conduct research in quantum chemistry. 2. Publish and ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
AI Research Scientist II
Boston, MA · On-site
... Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) • Industry ...
Machine Learning Chemistry information
See Massachusetts salary details
$14.70 - $16.56
4% of jobs
$16.56 - $18.42
11% of jobs
$19.79 is the 25th percentile. Wages below this are outliers.
$18.42 - $20.29
14% of jobs
$20.29 - $22.15
19% of jobs
The median wage is $22.43 / hr.
$22.15 - $24.01
14% of jobs
$24.01 - $25.87
12% of jobs
$26.13 is the 75th percentile. Wages above this are outliers.
$25.87 - $27.73
12% of jobs
$27.73 - $29.59
3% of jobs
$29.59 - $31.46
1% of jobs
$31.46 - $33.32
6% of jobs
$33.32 - $35.18
4% of jobs
$14
$24
$35
How much do machine learning chemistry jobs pay per hour?
What is a machine learning chemistry?
A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.
What does a machine learning chemistry do?
Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.
What are the key skills and qualifications needed to thrive in machine learning chemistry?
To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.
What are popular job titles related to Machine Learning Chemistry jobs in Massachusetts?
For Machine Learning Chemistry jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Chemistry jobs in Massachusetts look for?
The top searched job categories for Machine Learning Chemistry jobs in Massachusetts are:

Full-time
Medical, PTO
Re-posted 25 days ago
Moderna rating
9.2
Based on 10 frontline employees who took The Breakroom Quiz
5th of 86 rated pharmaceutical
Job description
Moderna is seeking a Director, Analytical Chemistry to provide scientific, strategic, and organizational leadership for discovery-stage analytical chemistry activities supporting mRNA-lipid nanoparticle (LNP) research across a diverse portfolio of nucleic acid medicines. This leader will define and advance analytical strategies that enable rapid design-make-test-learn cycles across novel ionizable lipids, polymers, excipients, payloads, formulations, and delivery systems used in mRNA-LNP therapeutics and vaccines.
The successful candidate will serve as a senior analytical partner to medicinal chemistry, computational chemistry, formulation, delivery sciences, platform biology, and selected development functions to accelerate molecular design, analytical decision-making, and candidate progression. The individual will guide analytical approaches spanning small molecules, polymers and lipid characterization, impurity profiling, structure elucidation, orthogonal physicochemical characterization, and fit-for-purpose evaluation of RNA, lipid, and nanoparticle attributes in support of discovery and early development objectives.
Building Moderna's technical model for analytical leadership, this role will provide strategic oversight of method development, method qualification and transfer where appropriate, characterization, impurity identification, and analytical control strategy concepts relevant to discovery and translational research. The leader will help define decision-quality analytical packages, ensure alignment of analytical deliverables with program milestones, and provide technical guidance and oversight to both internal teams and external CRO/CDMO partners.
This position requires deep expertise in modern analytical chemistry and a strong ability to translate complex data into actionable scientific decisions. The ideal candidate will combine technical depth in separation science, characterization, and structure elucidation with proven leadership experience, sound scientific judgment, and the ability to build productive partnerships across internal teams and external collaborators. Experience supporting transitions from discovery through IND-enabling or early clinical development is strongly valued. Experience with high-throughput methodologies is highly desirable, and familiarity with artificial intelligence and machine learning techniques is considered a strong plus.
This role will be in Cambridge, MA.
Here's What You'll Do
- Lead and develop a high-performing team of analytical scientists and, depending on organizational design, matrix-lead additional scientists across analytical chemistry, characterization, and platform functions supporting discovery-stage mRNA-LNP research.
- Set the analytical chemistry vision and strategy for discovery-stage mRNA-LNP programs, ensuring fit-for-purpose analytical capabilities are available to support lipid design, payload evaluation, formulation screening, and candidate advancement.
- Serve as the senior analytical partner to medicinal chemistry teams by enabling structure confirmation, purity and impurity profiling, route support, reference standard strategy, and rapid troubleshooting for novel lipids and related small molecules.
- Partner closely with computational chemistry and data science teams to translate molecular design hypotheses into analytical learning plans, generate data sets that improve structure-property understanding, and inform iterative design of ionizable lipids and related delivery materials.
- Collaborate with formulation and delivery sciences teams to establish robust analytical workflows for screening and characterizing LNP systems, including support for lipid composition assessment, encapsulation-related analytics, degradation pathways, and physicochemical attribute characterization.
- Guide fit-for-purpose analytical method development, optimization, qualification, transfer, and lifecycle management across chromatography, mass spectrometry, spectroscopy, and orthogonal characterization platforms.
- Provide scientific leadership in small molecule and lipid structure elucidation, impurity identification, forced degradation or stress studies where relevant, and root-cause analysis of analytical or material quality issues.
- Oversee analytical characterization strategies for relevant large molecules and nucleic acid components, with familiarity in mRNA or related RNA analytics and the interfaces between drug substance, formulation, and drug product performance.
- Work with discovery, platform, and selected development teams to ensure analytical deliverables, technical risk assessments, and timelines remain aligned with program objectives and portfolio milestones.
- Provide technical leadership and oversight to external partners, including CROs and CDMOs, for specialty characterization, method transfer, development support, and data package review.
- Author and review technical reports, analytical development documentation, invention disclosures, publications, and selected regulatory-facing analytical content as appropriate for the maturity of the program.
- Serve as a strategic and technical partner to Research, Technical Development, Analytical Development, and Process Chemistry and Development functions to drive analytical strategy discussions, define action items, and build scalable capabilities where discovery and development intersect.
- Represent analytical chemistry in cross-functional governance, portfolio discussions, technical reviews, and external interactions, and help shape investment priorities for instrumentation, digital workflows, and scientific capability building.
- You will apply high-throughput methodologies to accelerate research and development efforts, leveraging artificial intelligence and machine learning techniques to enhance data analysis and decision-making.
- Analytical development in Moderna is structured around a centers-of-emphasis model and accordingly the individual will liaise with the appropriate teams and groups to lead technical and strategic efforts in the area of small molecule, lipid, RNA, and nanoparticle analytics.
Here's What You'll Need (Basic Qualifications)
- Ph.D. in Analytical Chemistry, Organic Chemistry, Pharmaceutical Sciences, Chemical Biology, Chemical Engineering, or a closely related discipline, with 9+ years of relevant industry experience; a strong M.S. candidate with significant leadership experience may also be considered.
- Substantial experience in analytical chemistry supporting discovery research and/or early development in biotech or pharmaceutical settings, including demonstrated leadership at the program, function, or platform level.
- Deep expertise in small molecules, polymers and lipid analytical chemistry, including structure elucidation, impurity assessment, method development, advanced characterization, and the use of orthogonal analytical approaches and tools for novel chemical entities or excipients.
- Deep expertise in separation techniques and analytical platforms such as UPLC, HPLC, LC-MS, LC-CAD, GC-MS, CE, NMR, UV/Vis, IR, particle or colloidal characterization methods, and other relevant physicochemical and spectroscopic techniques.
- Working knowledge of large molecule and nucleic acid analytics, with meaningful familiarity in mRNA or related RNA characterization and an understanding of how RNA quality attributes interface with formulation and delivery performance.
- Demonstrated managerial abilities and strong technical leadership in both direct reporting relationships and in a matrix and cross-functional environment to execute strategy.
- Experience with technology transfer to internal or external partners and with building productive working relationships with CRO and/or CDMO collaborators.
- Experience in developing phase-appropriate analytical strategies and control concepts in settings that bridge discovery and development, including familiarity with technical documentation that supports progression into regulated environments.
- Sound understanding of analytical methods pertaining to mRNA-LNP products and their components, including the relationships between lipid identity, composition, formulation properties, and product performance.
- Familiarity with electronic laboratory notebooks, CDS, LES, and/or LIMS and an interest in modern data workflows that improve decision making and execution speed.
- Experience applying high-throughput methodologies to accelerate research and development, along with proficiency in leveraging artificial intelligence and machine learning to enhance data analysis and inform decision-making.
- Excellent communication and influence skills, with the ability to distill complex analytical data into clear recommendations for senior leaders and diverse scientific stakeholders.
- Exceptional ability to drive teams toward best practices in a fast-paced environment while helping build durable technical and business processes.
- This position is site-based, requiring you to be at Moderna's site full-time. This position is not eligible for remote work.
Here's What You'll Bring to the Table (Preferred Qualifications)
- Experience supporting mRNA-LNP, oligonucleotide, gene editing, or related nucleic acid modalities in discovery, translational, or early development settings.
- Experience with lipid library characterization, ionizable lipid structure-property relationships, and analytical support for high-throughput or iterative formulation screening workflows.
- Experience contributing to IND-enabling or early clinical development programs, including analytical sections of technical reports, regulatory submissions, or health authority responses.
- Familiarity with design-of-experiments, multivariate data analysis, cheminformatics-enabled workflows, and digital laboratory systems.
- Experience with high-throughput methodologies is highly desirable, and familiarity with artificial intelligence and machine learning techniques.
- A publication, patent, or innovation record that demonstrates scientific thought leadership in analytical chemistry, delivery sciences, or nucleic acid therapeutics.
- A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative.
Pay & Benefits
At Moderna, we believe that when you feel your best, you can do your best work. That's why our US benefits and global well-being resources are designed to support you-at work, at home, and everywhere in between.
- Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs
- A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
- Family planning benefits, including fertility, adoption, and surrogacy support
- Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
- Savings and investment opportunities to help you plan for the future
- Location-specific perks and extras
The salary range for this role is $167,000.00 - $300,700.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.
About Moderna
Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.
By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.
We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.
If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.
Our Working Model
As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.
Moderna is a smoke-free, alcohol-free, and drug-free work environment.
Equal Opportunities
Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!
Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Accommodations
We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.
Moderna is committed to offering reasonable accommodations to qualified
About Moderna
Sourced by ZipRecruiter
In just over a decade, Moderna has evolved from a research-focused company in the messenger RNA (mRNA) field to a leading enterprise with a diverse clinical portfolio of vaccines and therapeutics. With a strong intellectual property portfolio and state-of-the-art manufacturing capabilities, Moderna collaborates with global partners to advance groundbreaking science and achieve rapid scaling of production. Notably, Moderna's mRNA platform has enabled the development of therapies for various diseases, including infectious diseases, immuno-oncology, and cardiovascular conditions. Recognized as a top biopharmaceutical employer, Moderna fosters an inclusive and smoke-free work environment. The company is dedicated to equal employment opportunities and non-discrimination, ensuring that all employees and applicants are treated with respect and without bias based on factors like race, gender, religion, disability, or sexual orientation. Moderna is also committed to providing reasonable accommodations for individuals with disabilities, in accordance with applicable laws. To know more, visit www.modernatx.com.
Industry
Manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Cambridge, MA, US
Year founded
2010