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Cambridge Technologies
Position Guidelines
JOB TITLE: Research Scientist CLASSIFICATION: Exempt
DEPARTMENT: Research & Development DATE REVISED: 9-16-2026
SUMMARY
Assist in the coordination and execution of departmental projects (assigned and/or team projects). Provide technical support in the development of vaccines; including but not limited to antigen discovery, formulation, process development, assay development, and efficacy studies. Will also interact with Department Heads, research team members, and other departments, for the purpose of determining needs, reporting results, providing technical support and for product development and improvement.
ACCOUNTABILITIES
Reports to: Chief Scientific Officer
Supervises: Has no supervisory responsibilities
ESSENTIAL DUTIES & RESPONSIBILITIES
- Conduct assigned projects, experiments, or departmental activities to meet the project goals and timeline.
- Collect, maintain, and organize data in the form of a laboratory notebook, bench record, animal record, electronic project database, and/or production record.
- Communicate data/results in the form of written or oral reports.
- Analyze data and provide an analysis of data/results and provide suggestions for next steps.
- Conduct assigned projects in order to achieve project goals.
- Maintain laboratory and equipment in order to meet project and regulatory requirements.
- Interact with lab personnel, as well as other departments within the company.
- The incumbent has technical responsibility to project teams and project goals.
- Must be able to conduct project assignments with limited supervision and be able to lead own projects.
- For the accurate and honest documentation and reporting of research data and results.
- Work in a safe and productive manner with the guidelines established by policy and delegated authority.
- Acts within the guidelines established by company policy and delegated authority.
- Accountable for complying with the company handbook and all policies set by the company.
- Performs other duties as assigned.
EDUCATION/EXPERIENCE* The position requires an M.S. or Ph.D. degree in Microbiology or related life sciences field. Candidates with 2-4 years of experience are preferred with Molecular Biology, in-vitro Assay Development, Cell Culture, Recombinant DNA techniques, Virology and Vaccinology expertise.
- The candidate must be familiar with the principle of veterinary biologics, research and development of biologics, diagnostic assays, vaccine production, quality control and regulatory agencies.
- The position requires good verbal and written skills, knowledge of the use and care of animals, and good manufacturing, laboratory, and clinical practices.
LANGUAGE SKILLS Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization.
MATHEMATICAL SKILLS Besides basic mathematical skills, the candidate should have working knowledge and capabilities in biostatistics and associated software.
REASONING ABILITY Has the ability to work independently or in teams and can support their actions and hypotheses from primary literature.
OTHER SKILL & ABILITIES Attention to detail. Communication skills - verbal and written. Data collection, management and analysis. Problem analysis and problem solving. Planning and Organizing. Judgement. Decision-making. Customer service orientation. Teamwork.
PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The employee is frequently required to stand; walk; sit; reach with hands and arms; stoop, kneel, crouch, or crawl and talk or hear. The employee must occasionally lift and/or move up to 25-40 pounds, with occasional lifting up to 60 pounds.
WORK ENVIRONMENT BSL2 laboratories and research farm.
Salary Context
This $50K-$85K range is in the lower quartile for Research Scientist roles in our dataset (median: $197K across 73 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 8,943 AI roles we're tracking, Research Scientist positions make up 2% of the market. At Prairie Holdings Group, 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 $222,200 based on 708 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($67K) sits 70% below the category median. Disclosed range: $50K to $85K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
Prairie Holdings Group AI Hiring
Prairie Holdings Group has 1 open AI role right now. They're hiring across Research Scientist. Based in Worthington, MN, US. Compensation range: $85K - $85K.
Location Context
Across all AI roles, 6% (521 positions) offer remote work, while 8,351 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,416 roles, $263,811 median); Los Angeles (1,340 roles, $210,000 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 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). 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 (175) are outnumbered by mid-level (4,132) and senior (3,268) 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 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 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 $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 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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