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Rangam

Rangam

rangam.com

5 Jobs

520 Employees

About the Company

Rangam is a global, innovative, Total Talent management firm with the mission of accelerating meaningful employment for everyone! We are a minority-, woman-, and disability-owned firm with over 25 years of experience promoting sustainable and inclusive talent programs within our communities and employers.

Mission & Values:

Rangam's Mission: Accelerating meaningful employment for everyone

Rangam's Vision: Be the world's leader in connecting talent, communities, and employers

Rangam's Values: Empathy - We understand the value of every individual's ideas, thoughts, feelings, and experiences

Integrity - We do the right thing especially when no one is watching

Agility - We adapt with thoughtful purpose to meet evolving needs and opportunities

Inclusion - We ensure fairness by transforming or removing unnecessary, antiquated barriers.

Innovation - We design better solutions today for a more intersectional tomorrow.

Rangam's Belief: All minds provide value and contribute somewhere

For Rangam Jobs, please follow:

US Jobs - https://www.linkedin.com/showcase/rangam-us-jobs/about/
India Jobs - https://www.linkedin.com/showcase/rangam-india-jobs/about/
EMEA Jobs - https://www.linkedin.com/showcase/rangam-us-jobs/about/

Listed Jobs

Company background Company brand
Company Name
Rangam
Job Title
RCI-LON-131389-1 Machine Learning/Deep Learning Engineer
Job Description
Job Title: Machine Learning/Deep Learning Engineer Role Summary: Design, train, and deploy advanced AI models (text, image, audio) using TensorFlow, PyTorch, and transformer architectures on Azure cloud infrastructure, ensuring high‑performance inference on NVIDIA GPU hardware and seamless API integration. Expactations: - Deliver robust, scalable ML solutions that meet business objectives. - Collaborate across data science, product, and engineering teams to translate research into production. - Maintain high code quality, documentation, and security standards. Key Responsibilities: - Architect and implement deep learning pipelines; fine‑tune pre‑trained transformer models for domain‑specific tasks. - Optimize models for GPU inference (A100/H100) and deploy using Azure Container Apps, Web Apps, and Docker. - Build and version RESTful/gRPC APIs with FastAPI or equivalent, manage documentation and security. - Automate CI/CD workflows via GitHub Actions; monitor and log production AI services. - Integrate LLMOps pipelines for chat and multimodal applications. - Collaborate with data scientists to incorporate new datasets and experiment results into production. Required Skills: - 5+ years Python development with deep learning focus. - Expertise in TensorFlow, PyTorch, Hugging Face transformers. - Proven experience deploying models on GPU clusters. - API design, microservices architecture, and documentation. - Azure cloud services (Container Apps, Web Apps, Container Registry), Docker, and GitHub Actions. - Strong problem‑solving, communication, and agile collaboration. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - (Optional) Certifications in Azure AI or Cloud Engineering may be preferred.
Washington dc-baltimore, United states
Hybrid
Mid level
25-09-2025
Company background Company brand
Company Name
Rangam
Job Title
RCI-ABBV-31345 Clinical Scientist (Oncology Clinical Trial/solid Tumors/EDC/CTMS/Myeloma) (Pharma/Biotech)
Job Description
**Job Title:** Clinical Scientist II – Oncology (Solid Tumors / Multiple Myeloma) **Role Summary:** Provide scientific and clinical expertise for oncology drug development, focusing on solid‑tumor and multiple myeloma programs. Lead data review, contribute to regulatory and strategic documents, and support cross‑functional teams throughout clinical trial execution. **Expectations:** - Deliver high‑quality scientific input on study design, data analysis, and regulatory submissions. - Maintain compliance with GCP, pharmacovigilance, and SOPs. - Communicate findings effectively to internal and external stakeholders, including opinion leaders. - Drive collaboration across clinical, regulatory, commercial, and medical education functions. - Stay current with oncology literature and competitive landscape. **Key Responsibilities:** 1. Review, interpret, and communicate efficacy and safety data from pre‑clinical and clinical studies. 2. Contribute scientific content to protocols, investigator brochures, CSR, informed consent forms, briefing documents, and regulatory filings. 3. Develop and maintain electronic data capture (EDC), clinical trial management system (CTMS), and IRT databases; ensure data completeness and integrity. 4. Support program strategy development (clinical development plan, target product profile, lifecycle planning). 5. Engage with key opinion leaders to foster collaborations and pipeline awareness. 6. Participate in scientific education for internal teams and external partners. 7. Author or co‑author regulatory responses and scientific publications as needed. **Required Skills:** - Oncology clinical trial experience, preferably solid‑tumor and multiple myeloma. - Hands‑on data review, cleaning, and analysis using EDC, CTMS, and related databases. - Ability to draft and edit scientific sections of protocols, IBs, CSRs, consent forms, and regulatory documents. - Excellent written and verbal communication; strong organizational and teamwork abilities. - In‑depth knowledge of multiple myeloma disease biology and treatment landscape. **Required Education & Certifications:** - Bachelor’s degree in a scientific discipline; advanced degree (MS, PhD, PharmD) preferred. - Experience with clinical trial methodology, regulatory compliance, and GCP standards. - Relevant industry certifications (e.g., Certified Clinical Research Professional) are a plus.
North chicago, United states
On site
01-10-2025
Company background Company brand
Company Name
Rangam
Job Title
RCI-GT-38025 Data Engineer (Imaging Data Engineering)
Job Description
**Job Title**: Data Engineer (Imaging Data Engineering) **Role Summary** Design, build, and maintain scalable data infrastructure and pipelines for large‑scale imaging datasets. Manage relational databases, develop production‑grade Python code, create REST/SOAP APIs, and integrate AWS cloud services. Collaborate on AI and ML tooling for healthcare imaging research and support internal visualization tools. **Expectations** - Deliver production‑ready data solutions within sprint cadence. - Optimize database performance and ensure data quality and validation. - Document designs, implement TDD, and follow SDLC best practices. - Communicate status, risks, and improvement proposals to cross‑functional teams. **Key Responsibilities** 1. Build, deploy, and maintain scalable data infrastructure and pipelines. 2. Design and manage relational databases (PostgreSQL, MySQL, SQL Server). 3. Develop clean, modular, and extensible Python software using SOLID/OOP. 4. Implement TDD and adhere to SDLC best practices. 5. Build and maintain REST/SOAP APIs; optimize backend performance. 6. Process large structured and unstructured datasets, including medical images. 7. Automate and deploy solutions using AWS services and DevOps tools. 8. Integrate ML and LLM technologies into existing systems. 9. Create visualizations with Tableau, Power BI, or Plotly. **Required Skills** - 5–10 years of data/software engineering experience. - Strong Python proficiency with OOP and SOLID principles. - Proficient in SQL; design efficient relational schemas and queries. - Hands‑on experience with AWS cloud (deployment, automation, infrastructure). - Familiarity with REST APIs, ORM frameworks (e.g., SQLAlchemy). - Experience with DevOps tools (Terraform, CloudFormation). - Knowledge of TDD, SDLC, and database performance tuning. - Excellent documentation, organizational, and communication skills. **Nice to Have** - Knowledge of C++ or R. - Experience in image processing, computer vision, or digital pathology. - Exposure to deep learning or statistical modeling. - Terraform expertise for scalable cloud infrastructure. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience). - Certifications in AWS, data engineering, or cloud architecture are advantageous.
Mississauga, Canada
Hybrid
Mid level
29-10-2025
Company background Company brand
Company Name
Rangam
Job Title
RCI-NYSERDA-133 Business Analyst (Salesforce) EST REMOTE
Job Description
Job Title: Business Analyst – Clean and Resilient Buildings Role Summary: Support process improvement, system optimization, and data integration for clean energy and building decarbonization initiatives. Lead enhancements to the Salesforce platform, ensuring seamless operations, accurate reporting, and improved stakeholder experiences. Expectations: - Deliver functional design and system analysis for Salesforce and related tools. - Drive automation and integration projects that align with clean building strategies. - Communicate effectively with cross‑functional teams and stakeholders. Key Responsibilities: - Analyze business requirements and translate them into detailed Salesforce solutions. - Configure Salesforce Sales & Service Cloud, Lightning, Flows, Approvals, and Reports to meet operational needs. - Manage data integrity, security, and metadata across integrated systems. - Develop and maintain dashboards and reporting using Tableau and SQL. - Collaborate with Jira, SharePoint, and other platforms to support project workflows. - Produce clear documentation, including functional specifications, user guides, and testing plans. - Prioritize and manage multiple initiatives independently, ensuring timely delivery. Required Skills: - 5+ years of experience in functional design, systems analysis, or Salesforce administration. - Proficiency in Salesforce Sales & Service Cloud, Lightning, and automation tools (Flows, Approvals, Reports). - Strong command of Jira, SharePoint, Tableau, and SQL. - Excellent documentation, communication, and analytical abilities. - Self‑motivated with the capacity to manage competing priorities. Required Education & Certifications: - Bachelor’s degree in Information Systems or a related field (or equivalent experience). - Salesforce certifications (e.g., Administrator, Advanced Administrator, or Platform App Builder) preferred.
United states
Remote
Mid level
29-10-2025