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Cra Computer Science Jobs (NOW HIRING)

IQVIA

Clinical Research Associate

Overland Park, KS · On-site

$71K - $189K/yr

Qualifications Bachelor's Degree Degree in scientific discipline or health care preferred ... Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a ...

IQVIA

Clinical Research Associate

Carlsbad, CA · On-site

$71K - $189K/yr

Qualifications Bachelor's Degree Degree in scientific discipline or health care preferred ... Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a ...

IQVIA

Clinical Research Associate, Full Service

Durham, NC · On-site

$47K - $169K/yr

Qualifications Bachelor's Degree Degree in scientific discipline or health care preferred. Req ... Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a ...

Emerson Group

DevOps Engineer

Shakopee, MN · On-site

$108K - $120K/yr

Bachelor's degree in Engineering, Computer Science, or a related field * Minimum five (5) years of ... CRA, IEC 62443) Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every ...

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Cra Computer Science information

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$79.4K

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How much do cra computer science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for cra computer science in the United States is $79,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CRA (Clinical Research Associate) in Computer Science, and why are they important?

To thrive as a CRA in Computer Science, you generally need a strong background in computer science or related fields, with expertise in data analysis, clinical trial protocols, and regulatory compliance. Familiarity with electronic data capture (EDC) systems, clinical trial management software, and GCP (Good Clinical Practice) certification are typically required. Exceptional attention to detail, strong organizational skills, and effective communication are crucial soft skills for this role. These competencies ensure accurate data management, regulatory adherence, and successful collaboration across research teams and stakeholders.

What is the difference between Cra Computer Science vs Software Developer?

CriteriaCra Computer ScienceSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; certifications like CompTIA, CiscoBachelor's in Computer Science or related field; certifications like Microsoft, AWS
Work EnvironmentGovernment agencies, research labs, educational institutionsPrivate companies, tech startups, software firms
Employer & Industry UsagePrimarily in government and academiaPrimarily in tech industry and private sector
Common Search & ComparisonYesYes

Cra Computer Science and Software Developer roles share similar educational backgrounds and certifications. However, Cra Computer Science often focuses on research, government projects, and academia, while Software Developers typically work in private sector tech companies creating applications and software solutions. Both roles require strong programming skills but differ in work environment and industry focus.

Is a CRA career in demand?

A CRA (Clinical Research Associate) career is in demand due to the growth of clinical trials and the pharmaceutical industry. CRAs are essential for monitoring clinical studies, and demand is expected to remain steady as healthcare and research activities expand globally, often requiring knowledge of Good Clinical Practice (GCP) and regulatory guidelines.

What are CRA Computer Science professionals?

CRA Computer Science professionals are individuals who work in the field of computer science, often associated with the Computing Research Association (CRA). They may be researchers, faculty, or students engaged in advancing computer science through research, education, and advocacy. The CRA is a key organization that supports the computing research community by organizing conferences, providing resources, and fostering collaboration among academic, government, and industry professionals. CRA Computer Science professionals are dedicated to pushing the boundaries of technology and innovation.

Is computer science dead due to AI?

Computer science remains a vital field for roles like CRA Computer Science, as AI advances create new opportunities for software development, data analysis, and algorithm design. While AI automates certain tasks, human expertise is still essential for innovation, ethical considerations, and managing complex systems.

What are some common challenges faced by Clinical Research Associates (CRAs) with a computer science background when transitioning into clinical research roles?

CRAs with a computer science background may initially face challenges in adapting to the highly regulated environment of clinical research, including understanding protocols, compliance requirements, and ethical considerations. While their technical skills are valuable for data management and electronic systems, they may need to quickly learn clinical terminology and regulatory guidelines. Collaborating with clinical teams and effectively communicating complex technical concepts to non-technical colleagues are also common hurdles. With proper onboarding and ongoing training, CRAs can leverage their computer science expertise to streamline data processes and contribute significantly to study success.

What is the CRA in CS?

In computer science, CRA typically refers to a Certified Research Associate or a similar certification related to research roles. It may also denote a specific role or credential depending on the organization, often requiring strong analytical skills, programming knowledge, and familiarity with research methodologies.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced skills, certifications, and experience in areas like cloud computing, machine learning, or system design. Salaries for these roles can exceed $150,000 annually depending on location and industry.
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What cities are hiring for Cra Computer Science jobs? Cities with the most Cra Computer Science job openings:
What job categories do people searching Cra Computer Science jobs look for? The top searched job categories for Cra Computer Science jobs are:
Cra Computer Science jobs near you
Infographic showing various Cra Computer Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,437 per year, or $38.2 per hour.
Associate Principal/Forensic AI Engineer (Forensic Services practice)

Associate Principal/Forensic AI Engineer (Forensic Services practice)

Charles River Associates

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

About Charles River Associates
CRA is a leading global consulting firm that provides independent economic and financial analysis behind litigation matters, guides businesses through critical strategy and operational issues to become more profitable, and advises governments on the economic impact of policies and regulations. Our two main services - economic and management consulting - are delivered by practice groups that focus on specific areas of expertise or industries. Click here to learn how CRA can help you launchyour career.
Position Overview
CRA's Forensic Services practice supports companies' commitment to integrity by assisting them and their counsel in independently responding to allegations of fraud, waste, abuse, misconduct, and non-compliance. We are noted for deploying cross-trained teams of forensic professionals to assist our clients in gaining deeper insights and greater value more quickly. We provide technical development, expert, and forensic services as well as cybercrime investigation services.
As an Associate Principal, you will lead projects that sit at the intersection of artificial intelligence, full stack development, forensic investigation, synthetic media analysis, and litigation support. In this role, you will serve as a key subject matter expert, builder, and technical advisor across a portfolio of unique client problems , including matters involving large language model (LLM) misuse, AI-generated content authentication, deepfake detection, and AI-enabled fraud. You will lead, learn from, and work alongside a team of like-minded, supportive, and highly technical colleagues.
A day in the life consists of collaborating across client matters, supporting forensic investigations, advising upon AI governance and synthetic media standards, building and deploying detection tooling, conducting structured and unstructured data analysis, and staying current with rapidly evolving developments in the generative AI and AI forensics space.
As an Associate Principal, you will:
  • Support our dev team in building unique AI-based solutions for our clients.
  • Lead and support technical vision and execution for forensic investigations involving AI-generated content, large language model misuse, deepfake media, synthetic voice and video, and AI-enabled fraud or misconduct.
  • Develop, deploy, and validate deepfake detection pipelines and multimodal AI forensic tooling to analyze and authenticate text, image, audio, and video evidence at scale.
  • Perform AI content attribution and provenance analysis, including authorship attribution for LLM-generated text, model fingerprinting, training data inference, and C2PA (Coalition for Content Provenance and Authenticity) manifest analysis.
  • Apply LLM-based analytical frameworks, including retrieval-augmented generation (RAG) pipelines, structured output generation, and document intelligence, to accelerate investigation workflows and enhance analytical throughput.
  • Conduct adversarial prompt analysis, prompt injection detection, and evaluation of AI system vulnerabilities in the context of client incidents, regulatory matters, and litigation.
  • Design and build forensic data pipelines and investigatory tooling used to process and analyze large and varied datasets, including unstructured text corpora, media archives, model outputs, and system logs.
  • Serve as technical subject matter expert advising legal counsel and corporate executives on complex AI, generative media, and data integrity challenges , translating sophisticated technical findings into defensible, plain-language expert reports and testimony suitable for judicial and regulatory audiences.
  • Deliver training programs for clients and internal colleagues on responsible LLM use, AI-generated content identification methodologies, forensic readiness, and AI governance frameworks.
  • Lead cross-functional engagements requiring coordination across technical analysis, legal strategy, digital forensics, and stakeholder communication under aggressive deadlines.
  • Mentor junior team members.
  • Contribute to internal initiatives, thought leadership, and practice development.

Education
  • Bachelor's degree required; Computer Science, Electrical Engineering, Data Science, Computational Linguistics, Information Systems, or a related technical field.
  • Graduate degree (M.S. or Ph.D.) in Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, or a closely related discipline preferred.

Experience
  • 8-10+ years of progressive experience in machine learning engineering, AI research, digital forensics, data science, or a closely related technical field, with deep expertise in at least two of the following domains:
  • Development, fine-tuning, evaluation, or production deployment of large language models (LLMs) or generative AI systems
  • Synthetic media detection, deepfake analysis, or AI-generated content forensics
  • Natural language processing, computational linguistics, or authorship attribution
  • Digital forensics, incident response, eDiscovery, or cybercrime investigation
  • Consulting delivery, expert witness services, or client-facing technical advisory roles in a litigation or regulatory context
  • A representative portfolio of project contributions , including open-source contributions, published research, technical blog posts, or other observable works , demonstrating sustained, applied AI proficiency across investigation-relevant domains.
  • Demonstrated ability to conduct or support expert witness engagements, produce legally defensible forensic reports, and communicate complex technical findings to non-technical audiences including judges, regulators, and corporate executives.
  • Familiarity with AI governance and risk management frameworks, including the NIST AI Risk Management Framework, ISO/IEC 42001:2023 (AI Management Systems), and the OWASP Generative AI Security guidelines.

Technical Skills
  • LLM Proficiency: Deep understanding of large language model architectures (transformer-based models including GPT, LLaMA, Mistral, Gemma, and related families); proficiency with fine-tuning methodologies including LoRA, QLoRA, and instruction tuning; and experience with alignment techniques (RLHF, RLAIF, DPO).
  • LLM Ecosystems and Tooling: Proficiency with the HuggingFace ecosystem (Transformers, PEFT, Datasets, Evaluate, TRL); major LLM inference frameworks (vLLM, llama.cpp, Ollama); and orchestration frameworks including LangChain and LlamaIndex.
  • Retrieval-Augmented Generation (RAG) Pipelines: Experience building, evaluating, and optimizing RAG pipelines using vector databases (Pinecone, Weaviate, ChromaDB, pgvector) and embedding models, including chunking strategy, retrieval evaluation, and hybrid search.
  • Deepfake Detection and Synthetic Media Forensics: Competency in deepfake detection methodologies including CNN- and transformer-based detection models (trained on FaceForensics++, DFDC, or equivalent datasets); GAN architecture analysis; multimodal artifact inspection (lip synchronization, temporal consistency, audio-visual misalignment); and pixel-level manipulation detection tools (e.g., Amped Authenticate, Sensity AI).
  • Content Provenance and Authentication: Understanding of content provenance standards including C2PA (Coalition for Content Provenance and Authenticity), cryptographic content credentials, digital watermarking approaches (including SynthID), and blockchain-based authenticity verification.
  • Text Forensics and Authorship Attribution: Experience with NLP-based forensic methodologies including stylometric analysis, semantic embedding-based authorship attribution, human vs. machine-generated text classification, and LLM source attribution (model fingerprinting, training data membership inference).
  • Programming Languages and Core Libraries: Advanced proficiency in Python; competency with PyTorch and/or TensorFlow for deep learning model development and evaluation; data analysis using pandas, NumPy, and scikit-learn; and SQL for structured data querying and investigation support.
  • Computer Vision and Multimodal Analysis: Experience with computer vision libraries (OpenCV, torchvision, PIL/Pillow) and audio/video processing tools for media forensics, including EXIF metadata analysis, sensor pattern noise analysis, and compression artifact forensics.
  • Cloud and Infrastructure: Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure Machine Learning) and containerization approaches (Docker, Kubernetes) for deploying and managing AI forensic tooling in enterprise environments.
  • Data Engineering: Experience with data engineering frameworks and tools including Apache Spark, Airflow, and modern data warehousing platforms (Snowflake, BigQuery, Redshift) for processing and analyzing large-scale unstructured and semi-structured datasets.

To Apply
To be considered for a position in the United States, we require the following:
  • Resume - please include current address, personal email and telephone number;

If you are interested in applying for one of our international locations, please visit our Careers site to view and apply for available jobs.
Career Growth and Benefits
  • CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
  • We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.

Work Location Flexibility
CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team.
Our Commitment to Equal Employment Opportunity
Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.
Salary and other compensation
A good-faith estimate of the annual base salary range for this position is $140,000 - $170,000. Stating pay within this range may vary based on factors such as education level, experience, skills, geographic location, market conditions, and other qualifications of the successful candidate. This position may be eligible for additional bonus incentive compensation.
CRA offers a comprehensive benefits package, subject to eligibility requirements, which may include: medical, dental, and vision insurance; 401(k) retirement plan with employer match; life and disability insurance; paid time off (vacation, sick leave, holidays); paid parental leave; wellness programs and employee assistance resources; and commuter benefits.

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