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Qsar Jobs (NOW HIRING)

Apply advanced modelling techniques across toxicity, QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation. Build the AI Data Estate Expand and manage the data assets ...

Develop, validate, and deploy predictive models using QSAR, machine learning, artificial intelligence, and 2D/3D computational approaches for small-molecule analysis and property prediction. * Apply ...

We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...

... QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation. Build the AI Data Estate • Expand and manage the data assets that underpin Instem's AI capabilities, leveraging ...

Apply advanced modelling techniques across toxicity, QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation. Build the AI Data Estate Expand and manage the data assets ...

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

Deep understanding of cheminformatics concepts, including molecular representations, similarity methods, QSAR, virtual screening, chemical spaces * Experience analyzing large, complex chemistry ...

We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...

We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...

We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation. About the Role We are ...

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Qsar information

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How much do qsar jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for qsar in the United States is $28.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $30.77 per hour, depending on experience, location, and employer.

Is computational chemistry in demand?

Computational chemistry is in demand across industries such as pharmaceuticals, materials science, and chemical research, as it enables faster drug discovery and molecular analysis. Professionals with skills in modeling software, programming, and data analysis are sought after, especially in research and development environments. The field continues to grow with advancements in high-performance computing and machine learning tools.

What are QSARs?

QSAR stands for Quantitative Structure-Activity Relationship. It refers to computational models used to predict the biological activity or chemical properties of molecules based on their chemical structure. By analyzing patterns between molecular features and observed outcomes, QSAR models help scientists in drug discovery, toxicology, and environmental chemistry to screen compounds more efficiently. These methods reduce the need for extensive laboratory testing and support decision-making in chemical and pharmaceutical industries.

What are the key skills and qualifications needed to thrive as a QSAR (Quantitative Structure-Activity Relationship) Scientist, and why are they important?

To thrive as a QSAR Scientist, you need strong expertise in cheminformatics, computational chemistry, and statistical modeling, usually supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with tools such as Python, R, molecular modeling software, and QSAR-specific platforms, as well as experience with relevant databases, is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These skills are crucial for developing reliable predictive models that advance drug discovery and chemical safety assessments.

Is QSAR part of cheminformatics?

QSAR (Quantitative Structure-Activity Relationship) is a key method within cheminformatics, used to predict the biological activity of chemical compounds based on their molecular structures. As a cheminformatics tool, QSAR involves data analysis, modeling, and software skills to support drug discovery and chemical research.

What are some common challenges faced by QSAR (Quantitative Structure-Activity Relationship) scientists when working with large chemical datasets?

QSAR scientists often handle large and complex chemical datasets, which can present challenges such as data quality issues, missing values, and chemical structure inconsistencies. Managing and preprocessing this data to create reliable predictive models requires attention to detail and strong problem-solving skills. Additionally, collaborating with interdisciplinary teams—such as chemists, biologists, and data analysts—is essential to interpret results accurately and develop models that are both robust and relevant to real-world applications.

What is the highest paid chemist job?

The highest paid chemist roles are often in pharmaceutical research, chemical engineering, or executive positions such as Chief Scientific Officer, with salaries exceeding $150,000 annually. Senior-level chemists with advanced degrees, specialized skills, and management responsibilities tend to earn the highest compensation in the field.

What is the difference between Qsar vs Chemist?

AspectQsarChemist
Required CredentialsDegree in chemistry, pharmacology, or related field; often requires experience in data analysisDegree in chemistry or related field; may require licensure or certification for certain roles
Work EnvironmentResearch labs, pharmaceutical companies, or biotech firms focusing on data modelingLaboratories, manufacturing plants, or research institutions conducting experiments and analysis
Industry UsagePrimarily in drug discovery, environmental science, and chemical research for predictive modelingInvolved in product development, quality control, and research within chemical and pharmaceutical industries

Qsar specialists focus on developing predictive models using chemical data, often working with computational tools. Chemists perform experimental work, analyze substances, and develop new products. While both roles require chemistry knowledge, Qsar roles emphasize data analysis and modeling, whereas chemists focus on hands-on experimentation and synthesis.

What are 5 potential jobs for chemistry?

Chemistry graduates can pursue careers such as chemical analyst, research scientist, quality control technician, pharmaceutical developer, and environmental scientist. These roles often require knowledge of laboratory techniques, data analysis, and safety protocols. They are typically found in industries like pharmaceuticals, manufacturing, environmental consulting, and research institutions.
What are the most commonly searched types of Qsar jobs? The most popular types of Qsar jobs are:
Infographic showing various Qsar job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% Physical, and 26% Remote job distribution, with an average salary of $59,222 per year, or $28.5 per hour.
Principal AI Scientist and Lead

Principal AI Scientist and Lead

Instem plc

Boston, MA • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Principal AI Scientist and Lead
Location: Hybrid- Boston (2 days a week in our Boston Office)
Status: Permanent
Package: Competitive Salary, Remote/Home Working (with one-off allowance), Flexible Working, (2 Days in the office for our Hybrid workers) Development & Opportunity (Personal & Technical), Medical Insurance, Dental Insurance, Vision Insurance, Life Insurance, Long Term & Short-Term Disability Insurance, Generous 401K (matching) Plan, Flexible Spending Account, Health Savings Account, 15 Days' Vacation + Plus Public Holidays + Buy and Sell Scheme.
At Instem, you'll empower pharmaceutical companies, CROs, government agencies, academic institutions, by providing cutting-edge SaaS solutions and consultancy services designed to help researchers make discoveries, and to accelerate and advance their research programs.
You'll work with technology that supports over 50% of global drug discovery and is trusted by leading pharmaceutical, biotech and CRO organisations worldwide.
This position is one of a kind and is the first hire into Instem's AI & Data Sciences department, You will be building production AI on preclinical data: complex agentic systems and predictive models, including models that predict and design in vitro and in vivo studies, carried from prototype through evaluated, observable, hardened production. You will set the technical standard for how the Preclinical group builds, evaluates, and secures AI, and feed that standard into Instem's enterprise AI governance. The position reports to the Chief Scientific Officer and, within twelve to eighteen months, you will buildand lead the team behindyou.
Our Culture & Work Environment.

You'll be part of a friendly, solutions-focused environment within a global business of over 400 people. Here, you'll experience a high-performance culture balanced with genuine flexibility - we trust you to take ownership, deliver meaningful results, and work in a way that suits you.
You'll be encouraged to grow, share your ideas, and make a real impact. We're passionate about creating a place where you can develop your skills, contribute confidently, and succeed in your career.
Why join us as a Principal AI Scientist and Lead/
The role is a brand new role & one that you can shape yourself, alongside a fantastic Chief Scientific Officer! 
What You'll Be Doing

Build and Deploy Agentic AI Solutions

Design and deliver production-ready agentic AI systems that automate complex preclinical workflows using advanced reasoning, orchestration, RAG, and enterprise integrations.
Develop agent capabilities, tools, APIs, and platform services that support scalable and secure AI adoption. 

Develop Predictive & Generative Models

Build AI models to support study design, prediction, and decision-making across in vitro, in vivo, pathology, and preclinical datasets.
Apply advanced modelling techniques across toxicity, QSAR, PK/PBPK, omics, and endpoint prediction, ensuring robust scientific validation.  

Build the AI Data Estate

Expand and manage the data assets that underpin Instem's AI capabilities, leveraging owned, customer-governed, public, and partner-sourced data. 

Lead AI Evaluation & Observability

Establish evaluation frameworks, monitoring, and performance controls to ensure AI systems are accurate, reliable, explainable, and production ready. 

Partner with Scientific Stakeholders

Collaborate with Instem scientists, pharmaceutical companies, and CROs to validate outputs, solve scientific challenges, and continuously improve AI solutions.

Ensure Security, Governance & Compliance

Implement secure, governed, and auditable AI practices, including model lifecycle management, access controls, and compliance with regulatory and GxP requirements
What We're Looking For

PhD in Machine Learning, Computational Chemistry/Biology, Biomedical Engineering or a related field, or equivalent experience delivering production AI/ML solutions.
Several years building and deploying AI/ML systems, ideally within preclinical research or drug discovery. 

Agentic Engineering

Proven experience designing and deploying complex agentic AI systems in production environments.
Strong expertise in LLMs, agent frameworks, RAG architectures, vector databases, context engineering, and enterprise integrations.
Experienced in building evaluation frameworks, observability, security, governance, and lifecycle management into AI solutions from the outset.  

Preclinical Predictive Modelling

Develops predictive and generative AI models using Python and modern ML frameworks.
Experienced in applying AI to preclinical and drug discovery challenges, including toxicity prediction, QSAR, PK/PBPK, omics, and endpoint modelling.
Strong understanding of model validation, uncertainty quantification, regulatory expectations, and scientific applicability. 

Scientific & Stakeholder Credibility

Able to work effectively with scientists, pharmaceutical organisations, and CROs to validate models, interpret results, and communicate scientific rationale.
Understands both the opportunities and limitations of AI models within defined contexts of use. 

Languages & Tooling

Expert in Python with working knowledge of TypeScript/JavaScript and SQL.
Exposure to Go, Rust, or other systems languages would be advantageous
What We Offer
We invest in you because you're at the heart of our success. Depending on your location, you'll have access to a range of benefits, including:
Comprehensive Healthcare (Medical, dental, vision, life, and more)
Comprehensive wellbeing and support initiatives
Clear career pathways to support you with getting to the next level
Pro-rated and immediate vacation days
Continuous training and development
Generous retirement plans
Ready to Make a Difference?
Join a team that values your perspective and supports your growth, while helping shape the future of life sciences. Apply now - we'd love to hear from you, and our Talent team will be in touch.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Instem stores and processes data using an Applicant Tracking System (ATS). For more information regarding our privacy policy use the following link: https://www.instem.com/privacy/
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