Interested in this Research Scientist role at Charles River Laboratories?
Apply Now →About This Role
Req ID \#: 234435
Mattawan, MI, US
1st
Full time
For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well\-being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform. In return, we’ll help you build a career that you can feel passionate about.
Job Overview
We are seeking an experienced Research Scientist I to join our Safety Assessment team in Mattawan, MI.
A Research Scientist I – Safety Assessment serving as a study director (SD) is responsible for overseeing study conduct of preclinical Safety Pharmacology studies assigned by test facility management (TFM) within safety assessment; overseeing protocols/study plans; coordinating with technical teams for execution of studies, including establishing study schedules, verifying that standard operating procedures (SOPs) are available and adhered to, overseeing data recording and reporting, and verifying that regulatory requirements/expectations are met. The individual in this role interprets preclinical toxicity studies, evaluates and prepares reports from the data collected during these studies, communicates with sponsor representatives, and initiates contact with potential clients. May be involved with development of new technologies/procedures.
The pay range for this position is $86,000 – 89,000 USD/annually. Please note that hourly rates vary within the range based on factors including, but not limited to, experience, skills, education, certifications, and location.
Job Description
Function as an independent SD, working on studies/programs of basic to moderate complexity. See detailed role and responsibilities of Study Director below:
- Design, write, review and edit study plans/protocols, amendments and study schedules
that define and schedule all study activities.
- Oversee and coordinate study procedures.
- Verify that projects are performed according to SOPs and good laboratory practices
(GLP) regulations.
- Write, review and edit draft or final reports that document all study related procedures
and results.
- Communicate with sponsors on study related business.
- Oversee and coordinate study conduct (protocol development, technical guidance, and reporting).
- Assist in study planning, scheduling, and execution under the supervision of Sr. Scientist(s)/Scientific
Manager.
- Host client visits and telephone/video conferences.
- Assists with mentoring less experienced staff and may assist with training of scientific/senior scientific associates as needed.
- Provides advice to clients and technical teams.
- May assist with proposal development.
- Develop an area of expertise.
- Other duties as assigned.
Qualifications
- Bachelor’s degree or equivalent in Toxicology or a related discipline; Master’s/PhD/PharmD/DVM/MD degree or equivalent preferred; with 2 or more years of related industry experience. 2\+ years experience as a Study Director and/or Safety Pharmacology experience preferred.
- Success in this role requires familiarity with: study/project costs and impact of changes, local regulations and GLPs as they relate to primary area of focus, study process from proposal to report, quality assurance (QA)/quality control (QC) processes, IACUC process, the SD role in animal welfare, effective communication with veterinary staff and internal/external clients in a manner that generates confidence and builds trust, and communication with technical supervisor and Scientific Manager on issues of staffing and equipment.
- Strong communications skills, verbally and in writing at all levels inside and outside the organization.
- Basic familiarity with Microsoft Office Suite.
- Computer skills, commensurate with Essential Functions, including the ability to learn a validated system.
- Ability to work extended hours beyond normal work schedule to include, but not limited to evenings, weekends, extended shifts, and/or extra shifts; sometimes on short notice. Ability to work under specific time constraints.
About Safety Assessment
Charles River is committed to helping our partners expedite their preclinical drug development with exceptional safety assessment services, state\-of\-the\-art facilities and expert regulatory guidance. From individual specialty toxicology and IND enabling studies to tailored packages and total laboratory support, our deeply experienced team can design and execute programs that anticipate challenges and avoid roadblocks for a smooth, efficient journey to market. Each year approximately 300 investigational new drug (IND) programs are conducted in our Safety Assessment facilities.
About Charles River
Charles River is an early\-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non\-GLP, to support clients from target identification through preclinical development. Charles River also provides a suite of products and services to support our clients’ clinical laboratory testing needs and manufacturing activities. Utilizing this broad portfolio of products and services enables our clients to create a more flexible drug development model, which reduces their costs, enhances their productivity and effectiveness to increase speed to market.
With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client’s unique challenges. Our client base includes global pharmaceutical companies, biotechnology companies, government agencies and hospitals and academic institutions around the world.
At Charles River, we are passionate about our role in improving the quality of people’s lives. Our mission, our excellent science and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well\-being of many across the globe. We have proudly worked on 80% of the drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years.
We’re committed to providing benefits that elevate your quality of life. Based on your position these may include: bonus/incentives based on performance, 401K, paid time off, stock purchase program, Health and wellness coverage, employee and family wellbeing support programs, and work life balance flexibility.
Equal Employment Opportunity
Charles River is an equal opportunity employer and is committed to providing equal employment opportunities for all qualified applicants and employees without regard to race, color, sex, religion, national origin, ancestry, age, mental or physical disability, family status, pregnancy, military or veteran status, or any other characteristic protected by federal, state, or local laws.
It is unlawful in some states (including Massachusetts) to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
If you are interested in applying to Charles River Laboratories and need special assistance or an accommodation due to a disability to complete any forms or to otherwise participate in the resume submission process, please contact a member of our Human Resources team by sending an e\-mail message to crrecruitment\[email protected]. This contact is for accommodation requests for individuals with disabilities only and cannot be used to inquire about the status of applications.
For more information, please visit www.criver.com.
Salary Context
This $86K-$89K range is in the lower quartile for Research Scientist roles in our dataset (median: $183K across 117 roles with salary data).
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 4,133 AI roles we're tracking, Research Scientist positions make up 3% of the market. At Charles River Laboratories, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills in Demand for This Role
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $223,400 based on 307 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($87K) sits 61% below the category median. Disclosed range: $86K to $89K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
Charles River Laboratories AI Hiring
Charles River Laboratories has 1 open AI role right now. They're hiring across Research Scientist. Based in Mattawan, MI, US. Compensation range: $89K - $89K.
Location Context
Across all AI roles, 14% (583 positions) offer remote work, while 3,532 require on-site attendance. Top AI hiring metros: New York (2,760 roles, $211,000 median); San Francisco (2,258 roles, $253,000 median); Los Angeles (1,841 roles, $195,000 median).
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (1,901) and senior (1,663) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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