Role Description The primary responsibilities of the Adjunct Faculty member are the instruction and coordination of the Mammalian Cell Biotechnology course for the Biocon-KGI Program, Henry E. Riggs School of Applied Life Sciences. Candidates will be expected to have a strong commitment to innovative teaching and active learning. The adjunct faculty appointment is on a term-by-term basis and the course is taught via online synchronous live sessions, which take place on weekday evenings (Pacific Standard Time). In this course, students without prior background of this area will gain knowledge of: - State-of-the-art mammalian cell biotechnology - Challenges faced and forthcoming, including: - Process intensification - Speed to the clinic - Product quality issues - Safety, contamination, and containment - Scale up and manufacturing capacity - The biology of cultured cells, including kinetics for cell growth and metabolism - Cell line engineering techniques and formulation of cell culture medium - Feeding strategies to control aspects of cell metabolism and enhance product yield and efficacy - Engineering aspects including aeration and stirring for the design of various cell culture bioreactor reactors and culture vessels - Distinguishing different operation modes and applying different cell retention techniques for perfusion Qualifications - A minimum of a Master’s degree in biochemical engineering, bioengineering, or a related field - Relevant Biopharma/Biotech industry experience (5-7 years) is required - A doctoral degree is strongly preferred - Experience with downstream bioprocess technology is required - Prior teaching experience and a commitment to active learning is preferred - Experience with the Canvas learning management system and online teaching is a plus (training is available) Requirements - Provides high-quality student instruction - Evaluates student performance (e.g., written assignments, examinations, in-class activities) - Provides remedial instruction as needed Benefits - This is a part-time, exempt, adjunct faculty position and is not eligible for benefits - Schedules will vary depending on course assignments and the needs of the department or the Institute - The base salary range for this position is $2,500 - $15,000 per semester, depending on credits per course Physical and Mental Requirements - Ability to maintain good concentration while dealing with interruptions - Attention to details with emphasis on accuracy - Capable of giving, receiving, and analyzing information, formulating work plans, and articulating goals and action plans - Sitting in a normal seated position for extended periods of time - Standing for extended periods of time - Ability to hear within normal parameters - Ability to bend and stoop (e.g., to file) - Ability to move about - Ability to lift and carry short distances up to 20 lbs. (e.g., to lift or move office supplies, files, books, and packages) - Ability to travel locally, depending on business needs To Apply A confidential review of applications, nominations, and expressions of interest will begin immediately and will continue until an appointment is made. To be ensured full consideration, please upload a letter of interest, resume, and three professional references (a manager, a direct report, if applicable, and a coworker). Equal Employment Opportunity Policy Keck Graduate Institute is an equal opportunity employer. It does not discriminate against qualified employees or applicants based on race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship status, age, marital status, physical disability, mental disability, medical condition, sexual orientation, military or veteran status, genetic information, or any other characteristic protected by applicable state or federal law. Equal employment opportunity will be extended to all persons in all terms and conditions of employment. Keck Graduate Institute (KGI) is a participating employer in E-Verify. We use E-Verify to confirm the employment eligibility of all newly hired employees as required by federal law. For more information about E-Verify, please visit www.e-verify.gov .

Role Description We are seeking a highly skilled Data Engineering - Quality Engineer to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting; within the Redshift BI Foundations program. - Define the end-to-end testing scope based on solution architecture and project OPM documentation - Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards - Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform - Perform testing across key technologies, including: - AWS Redshift - AWS DMS (Data Migration Service) - AWS Glue - Terraform - Python-based data pipelines - Apache Airflow (via Astronomer managed interface) - dbt (data build tool) - Soda.io (data quality and observability) - Build and implement automated testing solutions to ensure: - End-to-end data validation - Data ingestion accuracy - Transformation logic integrity - Data pipeline reliability - Conduct test coverage analysis and ensure adequate validation across all data engineering workflows - Prepare and manage test data - Review and provide feedback on: - Solution architecture - Data models - Design and technical documentation - Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: - Identify testing impacts - Mitigate risks - Ensure high-quality deliverables Qualifications - Proven experience in data engineering testing / data QA / ETL validation - Strong hands-on experience with AWS data services (Redshift, Glue, DMS) - Proficiency in Python for test automation and validation - Experience with Airflow (Astronomer preferred) and orchestration testing - Hands-on experience with dbt and data transformation validation - Familiarity with Terraform for infrastructure validation - Experience in BI testing in Tableau will be highly beneficial - Experience with data quality tools such as Soda.io or similar - Strong understanding of: - Data warehousing concepts - ETL/ELT pipelines - Data validation techniques (schema, reconciliation, anomaly detection) Requirements - Experience designing enterprise-level test strategies for data platforms - Knowledge of CI/CD pipelines for data and test automation - Experience working in Agile / Scrum environments - Familiarity with data observability frameworks Benefits - Medical, dental, and vision insurance - Comprehensive employee assistance program - 401(k) retirement plan - Paid time off and holidays

Role Description Abstracts to computerized registry database all reportable cancer cases with accurate, pertinent, and complete codes and/or data according to ACoS FORDS reporting standards & procedures, as well as state and facility requirements. Shares responsibility of casefinding, abstracting, and follow-up in the Cancer Data Center. Core Responsibilities and Essential Functions: - Abstracting - Maintains an organized system for control of abstracting to meet productivity standards. - Abstracts into computerized system all reportable cases with accurate, pertinent, and complete codes and/or data according to ACoS FORDS reporting standards & procedures as well as follows state & facility requirements. - Abstracts information for Cancer Network quality metric reporting. These items are above the required dataset. - Participates in continuous quality improvement of database. - Assists with updates to follow-up contact, recurrence, and subsequent treatment information. - Supports Cancer Program - Supports network tumor boards as assigned. - Attends Cancer Sub-Committees or Cancer Committee as needed. - Participates in Peer Review & Quality improvements of cancer data. - Assists with Special Projects - Data Requests from outside the Cancer Data Center. - Assists with Annual Report. - Edit clean up during major releases of data. - Performs other duties as assigned. - Complies with all Wellstar Health System policies, standards of work, and code of conduct. Qualifications - Associates Other or Other / Certificate Other Requirements - All certifications are required upon hire unless otherwise stated. - Oncology Data Specialists - Required - CTR - Certified Tumor Registrars Upon Hire Preferred - Graduate of Cancer Registry program Required - Minimum 3 years experience in ACoS Approved Cancer Registry Required Skills - ICD-O coding; - Staging in AJCC, and Collaborative Stage formats; - Computerized data reporting skills, preferred system is METRIQ; - Computer knowledgeable; - Medical terminology; - Anatomy & physiology; - Cancer disease processes & standards of care; - Strong communication skills; - Work as a team player; - Ability to work without direct supervision. Benefits Join us and discover the support to do more meaningful work—and enjoy a more rewarding life. Connect with the most integrated health system in Georgia, and start a future that gives you more.

Role Description We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data and machine learning organization and help build the pipelines, models, and infrastructure that power our analytics, machine learning, and operational data needs. In this role, you will work closely with analysts, data scientists, ML/AI engineers, and product teams to design and deliver reliable, scalable data workflows on our Databricks Lakehouse platform. A successful candidate has strong engineering fundamentals, deep knowledge of modern data architectures, and experience transforming complex datasets into high-quality, well-modeled information that drives business impact. You’re comfortable owning end-to-end pipelines, improving data quality and reliability, and collaborating across teams. You thrive in environments where you can raise the bar on engineering excellence, build repeatable processes, and mentor others. Qualifications - 7+ years of experience in data engineering or related roles. - Strong expertise with Python, SQL, Spark, and distributed data processing. - Hands-on experience with Databricks, Delta Lake, and Lakehouse architectures. - Deep understanding of ETL/ELT design, data modeling, and data quality practices. - Experience building scalable, production-grade data pipelines. - Experience collaborating with analytics, ML, and product teams. - Strong communication skills with the ability to clarify data requirements and explain technical decisions. Requirements - Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks. - Implement reliable ingestion frameworks for batch and streaming data sources. - Ensure pipelines meet SLAs, data quality standards, and production-grade reliability. - Develop robust data models across raw, curated, and semantic layers using Delta Lake. - Create dimensional models, star schemas, and domain-layer datasets for analytics and ML. - Establish and maintain standards for schema design, metadata, and lineage. - Implement data validation, anomaly detection, SLAs, and documentation across pipelines. - Build automated tests, monitoring, and alerting for freshness, completeness, and accuracy. - Partner with platform teams to enhance observability and operational tooling. - Work closely with analysts to understand business KPIs and deliver high-quality curated datasets. - Partner with ML engineers and data scientists to build reusable feature pipelines. - Collaborate with data platform engineers to optimize compute, governance, and orchestration. - Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance and cost. - Improve reliability, reduce technical debt, and simplify complex pipelines. - Apply best practices for RBAC, data privacy, and PII handling using Unity Catalog. - Ensure adherence to compliance frameworks and documentation standards. - Stay current on modern data engineering patterns, Lakehouse architecture, orchestration, and best practices. - Explore new technologies that improve reliability, scalability, and developer productivity. Benefits - Competitive Compensation & Total Rewards Incentives - Comprehensive Healthcare Coverage - Multiple 401(k) Savings Plan Options - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) - Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave - Disability, Life, and Long Term Care Insurance - Tuition Reimbursement, Student Loan Repayment and Training & Certification Support - Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) - Caregiver and Mental Health Support Services