Primary Talent Partners

About the Company

Primary Talent Partners (PTP) is a woman-owned staffing firm specializing in contingent workforce programs and full-service staffing solutions, including temporary and direct hire services. Established in 2019, our Executive Partners bring over two decades of experience in staffing and consulting. Headquartered near Charlotte, North Carolina, with satellite locations nationwide, we serve a diverse portfolio of Fortune 500 clients. As a trusted supplier for Managed Service Providers (MSPs) and structured workforce programs, we excel in margin-constrained environments while delivering inclusive talent solutions. Our consultative approach ensures precise alignment between candidates and roles, while our flexible recruitment strategies and commitment to diversity make us the partner of choice for top organizations.

Listed Jobs

Company Name

Primary Talent Partners

Job Title

Computational Biologist / Data Scientist

Job Description

**Job Title:** Computational Biologist / Data Scientist **Role Summary:** Apply advanced bioinformatics, systems biology, statistics, and machine‑learning methods to multi‑omics data for target and biomarker discovery in neurodegenerative disease research. Collaborate with cross‑functional teams to integrate genetics, molecular profiling, and functional genomics data across the neuroscience drug discovery pipeline. **Expectations:** - Deliver high‑quality, reproducible data analyses on schedule. - Stay current with emerging bioinformatics tools and integrate them into pipelines. - Communicate findings clearly to scientific, clinical, and leadership audiences. - Contribute to experimental design and research strategy. - Operate effectively in a hybrid (3‑day onsite) environment. **Key Responsibilities:** - Lead computational analysis and integration of genomic, transcriptomic, proteomic, single‑cell, and spatial omics datasets. - Develop and apply machine‑learning models for target identification and patient stratification. - Build and maintain scalable pipelines on HPC or cloud platforms. - Provide bioinformatics support for preclinical and clinical projects, including in‑vitro and in‑vivo studies. - Document methods, generate reports, and present results at internal/external meetings and in publications. - Maintain version‑controlled code repositories (e.g., Git). **Required Skills:** - Expert proficiency in bioinformatics, multi‑omics analysis, and data integration. - Strong programming skills in Python and/or R; experience with HPC/ cloud environments. - Hands‑on experience with single‑cell, spatial, and bulk omics data processing. - Familiarity with public and proprietary bioinformatics databases and tools. - Knowledge of machine‑learning frameworks and statistical modeling. - Excellent problem‑solving, critical‑thinking, and communication abilities. **Required Education & Certifications:** - PhD in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or related field (≥2 years relevant experience) **or** - MSc in a related discipline (≥5 years relevant experience) - No specific certifications required; demonstrated expertise through publications or project deliverables preferred.

Cambridge, United states

On site

Mid level

29-12-2025

Company Name

Primary Talent Partners

Job Title

Customer Data Artificial Intelligence Solutions (CDAIS) – Data Scientist

Job Description

**Job Title:** Customer Data Artificial Intelligence Solutions (CDAIS) – Data Scientist **Role Summary:** Data Scientist responsible for extracting, transforming, and analyzing customer, meter, and service data to develop diagnostic and predictive models that drive cost reduction, revenue growth, and improved customer experience for a large utility client. **Expectations:** - 1‑3 years of hands‑on data science experience. - Ability to plan and communicate work items (epics, stories, tasks) to cross‑functional teams. - Proficiency in SQL, Python, and cloud‑based analytics (AWS). - Deliver actionable insights through modeling, visualization, and reporting. **Key Responsibilities:** - **Engagement Planning & Communication** (≈15%): Define and prioritize product development work; present technical concepts to leadership. - **Data Wrangling & Transformation** (≈45%): Extract and cleanse data from SQL Server, Oracle, and AWS APIs; perform exploratory analysis to identify trends and anomalies. - **Data Science Modeling** (≈30%): Build and validate diagnostic/predictive models using NLP, regression, machine learning, simulation, or optimization techniques. - **Visualization & Reporting** (≈10%): Develop dashboards and visual reports in Power BI and Jupyter to convey findings to stakeholders. **Required Skills:** - SQL (SQL Server, Oracle) - Python (pandas, scikit‑learn, NLP libraries) - AWS services: EMR, SageMaker - Spark for big‑data processing - Data visualization with Power BI and Jupyter Notebook - Agile tools: Jira, Microsoft Teams, Outlook, PowerPoint **Required Education & Certifications:** - Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. - No specific certifications required; AWS or data‑science certifications are a plus.

Charlotte, United states

On site

Fresher

09-01-2026

Company Name

Primary Talent Partners

Job Title

AI Specialist I

Job Description

Job Title: AI Specialist I Role Summary: Execute end‑to‑end machine learning engineering tasks on AWS SageMaker, building robust MLOps pipelines, integrating data science models into production, and ensuring high‑quality, cost‑efficient model deployment. Expectations: Deliver production‑ready ML solutions, maintain and optimize CI/CD pipelines, monitor model performance, and act as a bridge between data scientists and operations. Key Responsibilities: - Design, develop, and deploy ML models using AWS SageMaker. - Build and maintain training, validation, and inference pipelines. - Implement MLOps best practices (CI/CD, Docker, Kubernetes). - Collaborate with data scientists to productionize research models. - Monitor and automate model retraining and performance degradation. - Optimize inference performance and cost usage. - Manage model versioning, experiment tracking, and documentation. - Validate data quality and maintain data validation frameworks. - Conduct code reviews, debug IaC tools (Terraform, Concourse), migrate code to GitHub. Required Skills: - Python with ML libraries (pandas, numpy, scikit‑learn, etc.). - AWS SageMaker (training, tuning, deployment). - MLOps tools (Docker, Kubernetes, CI/CD pipelines). - IaC (Terraform, CloudFormation). - Version control (Git, GitHub Actions). - Cloud services (EC2, S3, Lambda, CloudWatch). - Statistical analysis and data science fundamentals. - SQL (complex queries, stored procedures, performance tuning). - Strong analytical, communication, and collaboration skills. Required Education & Certifications: - Bachelor’s in Computer Science, Data Science, Engineering, or related field (or 8 years equivalent). - 3+ years experience as a machine learning engineer or similar role. Preferred: Master’s degree, AWS certifications (Machine Learning Specialty, Solutions Architect).

Charlotte, United states

On site

Senior

09-01-2026

Company Name

Primary Talent Partners

Job Title

Cloud/DevOps Engineer - II

Job Description

**Job Title:** Cloud/DevOps Engineer – II **Role Summary:** Lead the design, implementation, and maintenance of automated CI/CD pipelines and secure infrastructure for a financial services client. Drive standardization of DevOps practices, integrate security scanning tools, and provide technical guidance to enterprise teams. **Expectations:** - Deliver scalable, secure, and compliant cloud solutions on AWS. - Influence architecture decisions and drive adoption of best practices across the organization. - Operate in a high‑responsibility, contract role for 12 months with potential extension. **Key Responsibilities:** - Build and maintain automated deployment tooling using GitLab, Terraform, and scripting (Python, Groovy, Shell, YAML/JSON). - Integrate security scanning (SAST, DAST, OSS, Container, IaC) tools such as Nexus IQ, SonarQube, Fortify, Checkov, KICS, and GitLab native scanners. - Provision, configure, and support AWS services (EC2, Lambda, Fargate, ECS, EKS, CloudWatch) and secrets management (Secrets Manager, Parameter Store, Vault). - Manage GitLab and artifact repositories (Nexus), ensuring version control, access control, and build consistency. - Collaborate with cross‑functional teams (Infrastructure, Security, Data, Apps) to align DevOps practices with enterprise standards. - Mentor and guide technical teams on pipeline design, deployment automation, and secure coding practices. - Participate in architectural reviews, problem anticipation, and solution design at the enterprise level. **Required Skills:** - 7‑10 years of hands‑on AWS DevOps experience. - Proficiency with GitLab, Terraform, and CI/CD pipelines (GitLab CI, Jenkins, etc.). - Deep knowledge of security scanning tools (Nexus IQ, SonarQube, Fortify, Semgrep, Gymnasium) and IaC scanners (Checkov, KICS). - Experience scripting/automation in Python, Groovy, Shell, YAML/JSON. - Technical fluency with Linux, Windows, and common programming languages (C++, Java, JavaScript, .Net). - Containerization skills (Docker) and orchestration with ECS, EKS, Lambda, Fargate. - Familiarity with secrets management (AWS Secrets Manager, Parameter Store, Vault). - Agile experience (Jira, VersionOne). - Strong interpersonal, written, and oral communication; ability to influence and build consensus. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or equivalent experience. - AWS certifications (e.g., Solutions Architect, DevOps Engineer) are highly desirable but not mandatory.

San francisco, United states

On site

Senior

12-01-2026