Data Analyst

Description • As a Data Analyst, you'll drive data quality and consistency in our central hub for storing OMICS data, address impactful data loading and curation projects and help improve and automate processes using agentic AI. • Working closely with researchers, you'll ensure their data needs are met and help accelerate scientific discovery. • Contribute to important data loading and curation projects for the departments Omics data server • Address data quality and consistency issues in the CRISPR database. • Apply agentic AI approaches for data loading and querying OMICS data • Database Interaction: Use PostgreSQL to build, manage, and query large genomic datasets. • API Development: Design and implement APIs for improved data accessibility and integration across platforms. • Automation: Use Python and R to automate and optimize data workflows, prioritizing data quality and integrity. • ETL Process Management: Develop and execute ETL processes to integrate high-value datasets in line with organizational standards. • Collaboration: Work with cross-functional teams and research scientists to gather requirements, align to common data model standards, and facilitate effective data management. • Documentation: Maintain comprehensive documentation and version control for reproducibility and teamwork. Qualifications • Master's degree in computer science, bioinformatics, or a related field, with 3+ years of relevant experience. • Proven experience working with databases (PostgreSQL proficiency). • Advanced skills in Python and R for automation and data manipulation. • Experience handling and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR). • Code management, documentation, and usage of Github. • Curiosity and basic knowledge of AI techniques applicable to data loading and querying. • Excellent communication skills and a collaborative mindset. • Demonstrated experience with AWS resources. • Experience in API development and data integration. • Proficiency in databases (SQL) and coding in R/Python • Experience with API development • Familiarity with AI techniques and strong curiosity for new technologies • Experience managing and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR) • Code management, documentation, and version control (e.g., GitHub) Benefits Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics. Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st. Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification. Synectics is an equal opportunity employer.