• Own warehouse platform architecture. Design and evolve the systems that support storage, transformation, governance, and access across clinical datasets. • Build scalable data infrastructure. Develop a secure and compliant warehouse infrastructure. • Healthcare-specific data modeling: Design and build clinical data models inside a scalable warehouse solution. • Design warehouse optimization strategies. Create data models and storage approaches that balance performance, scalability, and maintainability. • Establish data governance frameworks. Implement controls that ensure data quality, consistency, security, and auditability. • Enable downstream analytics and AI workloads. Build infrastructure that supports reporting, evidence generation, and machine learning applications. • Lead cross-functional technical initiatives. Partner with engineering, analytics, and product teams to align platform capabilities with business priorities. • Improve platform observability and reliability. Build monitoring, alerting, and operational tooling that ensures trust in critical data systems.

• Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization. • Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation. • Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance. • Ensure data quality and trust. Implement validation, reconciliation, monitoring, and alerting processes across critical datasets. • Support clinical data integration initiatives. Help incorporate new clinical data sources into the warehouse ecosystem. • Optimize warehouse performance. Improve query efficiency, storage utilization, and processing costs as data volumes grow. • Partner with stakeholders on data requirements. Translate business questions into durable data solutions and trusted datasets. • Improve operational excellence. Develop tooling and processes that increase reliability and reduce manual intervention. • Mentor data engineers and analysts. Share best practices and elevate technical standards across the data organization.

Role Description The Data Recording Specialist will provide technical support to strengthen pedigree development, performance recording, molecular characterization, and data management systems for endangered indigenous livestock breeds under the project. - Assist in reviewing and assessing existing data recording systems for target breeds (Bactrian camel, Sarabi cattle, Mahabadi goat, Markhoz goat). - Support the development of practical recommendations to strengthen breed registration, animal identification, pedigree recording, and performance data collection systems. - Assist in preparing technical specifications and TOR/LOA inputs for contracting laboratories to conduct molecular analysis. - Provide technical support in the evaluation of laboratory offers, ensuring compliance with required standards. - Support development of sampling strategies, sample size determination, and data management procedures for molecular analysis. - Assist in pedigree analysis, including estimation of inbreeding coefficients and identification of breeding strategies. - Support identifying procurement needs and prepare technical specifications for equipment related to milk collection/analysis and wool/mohair processing centers. - Assist in developing and delivering training materials and workshops for technicians and community-level recorders. - Support preparation of technical reports summarizing findings, recommendations, and progress achieved. - Perform other related duties as required by the project team. Qualifications - Advanced university degree in animal breeding and genetics, Molecular Genetics, Animal Biotechnology, Animal Science, Veterinary Genetics, or a closely related field. - At least five (5) years of progressively relevant professional experience in livestock genetics data recording and analysis. - Working knowledge (level C) of English. - National of I.R. Iran or resident of the country with a valid work permit. Requirements - Strong knowledge of molecular genetics applications in livestock parentage verification and breed characterization. - Familiarity with molecular marker technologies and interpretation of parentage testing results. - Experience with DNA sample collection and laboratory coordination for molecular analysis. - Knowledge of international standards for animal genetic resources conservation. - Ability to advise on sampling strategies and data management for genetic studies. - Good training, reporting, communication, and stakeholder coordination skills. - Knowledge of indigenous livestock breeds and production systems in Northwest Iran is an asset. Benefits - Home-based position. - Follow the UN workweek (from Sunday to Thursday) and holiday schedule.

Role Description BDR Solutions is looking for a data management intern who is eager to gain hands-on experience and practical skills, as well as to explore career paths. You will be working closely with a designated team to: - Become familiar and learn data management platforms (similar to Snowflake, Palantir, Databricks, etc). - Capture and manage data requirements. - Develop data ontology and data pipelines. - Support process improvement efforts. - Attend meetings and take minutes as required. - Address other duties as assigned. This intern position will be focused on supporting specific corporate activities including but not limited to: Operations and Growth. This will provide you with an opportunity to learn about the function of the specific area to see if it may be the right career path for you. Some of the responsibilities will include, but are not limited to: - Research and data gathering, analysis, and reconciliation. - Process and workflow improvement — mapping and optimizing task sequences to reduce time and errors. - Automation and data platform support — assisting with data pipelines and ontology/data mapping on modern data management platforms. - Electronic file organization, document review, and editing. - Support corporate and other functions as needed. - Other duties as assigned. Qualifications - Eager to learn and work with various departments in the company. - Flexible to accommodate diversity in daily tasks. - Ability to commit a minimum of 40 hours per month, mostly scheduled in increments of 10 hours per week. - Proficiency in the MS Office Suite with an aptitude to learn. - Excellent written and oral communication skills. - Ability to work remotely from a quiet and uninterrupted place with a high degree of accountability. Requirements - Background in computer science, engineering, or a related technical field. - Hands-on experience with Python and SQL. - Detail-oriented, with the ability to effectively document and communicate details. - Computer/Laptop to use in the performance of position. (If not available, BDR can provision one.) - Excellent attention to detail and willingness to learn new skills, new client environments, and grow domain expertise. - Veteran. - U.S Citizenship is required. Benefits - Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information.