Project Manager, Data Workflow

American Heart Association • Dallas, TX

6h • $75,000 - $85,000 • Remote

About The Position

Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today’s biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us. The American Heart Association has an excellent opportunity for a Project Manager, Multi-Omics Data & Research Operations, working with the Periodic Table of Food Initiative (PTFI)®. This position can be home-based. This is a full-time, benefits-eligible, grant-funded opportunity. Current funding will expire on March 1, 2027, but it may be extended. The Periodic Table of Food Initiative (PTFI)® is a science-to-action initiative co-managed by the American Heart Association that is offering standardized multi-omics tools, data, and training to characterize food quality of the world’s edible biodiversity. Our global ecosystem is mapping food quality based on diverse components, including macronutrients, micronutrients, and specialized metabolites, as well as their variation across food systems. PTFI’s vision is a world where stakeholders in food, agriculture, and health are enabled to lead data-driven solutions that provide healthy food from sustainable food systems. https://foodperiodictable.org . As PTFI expands its multi-omics datasets and translation efforts, this role will strengthen omics data quality, documentation, and usability across research teams and partners. The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as additional training and support, locally. #TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn , Instagram , Facebook , X , and at heart.jobs .

Requirements

• PhD strongly preferred in bioinformatics, computational biology, analytical chemistry, biomedical informatics, horticulture/plant/food sciences, or a related field.
• 3+ years of experience supporting multi-omics or high-dimensional datasets in research, clinical, agricultural, or translational settings, with demonstrated project management ownership.
• Hands-on understanding of omics data QC concepts and assay outputs (e.g., MS-based peak/feature tables, ionomics matrices, speciation workflows), including batch effects, drift, internal standards/QC samples, normalization, missingness, outliers, and sample tracking.
• Demonstrated experience developing reproducible data analysis workflows in R (e.g., scripts, R Markdown/Quarto) and building or partnering to deliver interactive tools for scientific users (e.g., Shiny apps, dashboards, standalone visualization applications).
• Knowledge of data integrity, security, and compliance expectations for human-subject or sensitive data (e.g., IRB-aligned workflows; HIPAA familiarity where applicable) and best practices for controlled-access data products.
• Strong written and communication skills, including ability to author clear documentation, tutorials, and troubleshooting guides and translate technical concepts for mixed audiences.
• Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced, cross-functional environment; comfort coordinating conferences, working groups, and external partner deliverables.

Responsibilities

• Multi-Omics Data QC and Readiness : Lead and coordinate omics QC/QA across mass spectrometry and elemental platforms (e.g., LC-MS/MS metabolomics, proteomics, lipidomics; ICP-MS ionomics; HPLC-ICP-MS speciation), including review of batch effects, missingness, drift, internal standards/QC samples, normalization alignment, outliers, and sample identity tracking. Define and maintain criteria for analysis-ready datasets and cross-omics linkages (sample to assay to feature matrix to results).
• Translation-Facing Data Products : Develop and/or coordinate standalone applications and interactive dashboards (e.g., R/Shiny or comparable frameworks) that translate complex multi-omics outputs into accessible insights for research teams, including QC dashboards, cohort/sample exploration, feature and pathway summaries, and reproducible reporting.
• Data Documentation and Provenance Pipelines : Implement pipelines for data documentation, including metadata schemas, processing logs, QC reports, data dictionaries, provenance tracking, dataset versioning, and troubleshooting/interpretation guides, ensuring that multi-omics datasets are discoverable, interpretable, reproducible, and usable by both technical and non-technical stakeholders.
• Cross-Functional Project Management: Own timelines, milestones, resourcing, dependency tracking, and risk management across multi-stakeholder omics projects, ensuring clear scientific and technical handoffs and predictable delivery.
• Analytics Enablement and Data Query Support: Collaborate with data scientists and statisticians to understand requirements and streamline data workflows for advanced analytics (e.g., ML-ready matrices, harmonized covariates/phenotypes, feature annotation and mapping). Support querying of real-world multi-omics data related to human subject research and other registries to address high-impact research questions.
• Data Integrity, Security, and Compliance: Ensure data integrity, access control, and secure handling of sensitive data, aligning operations with IRB requirements and applicable healthcare data regulations (e.g., HIPAA where relevant) and organizational governance policies.
• Continuous Improvement and Innovation: Stay updated on emerging technologies in data engineering, analytics, and data governance; evaluate tools and techniques and propose innovations that enhance data systems, process reliability, and governance practices.

Benefits

• Compensation – Our goal is to ensure you have a competitive base salary. That’s why we regularly review the market value of jobs and make adjustments, as needed.
• Performance and Recognition – You are rewarded for achieving success through annual salary planning and incentive programs; eligibility for an incentive program is based on the type of position.
• Benefits – We offer a wide array of benefits including medical, dental, vision, disability, and life insurance, along with a robust retirement program that includes an employer match and automatic contribution. As a mark of our commitment to employee well-being, we also offer an employee assistance program, employee wellness program and telemedicine, and medical consultation.
• Professional Development – You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program. Heart U is the Association’s national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
• Work-Life Harmonization – The Association offers Paid Time Off (PTO) at a minimum of 16 days per year for new employees. The number of days will increase based on seniority level. You will also have a total of 12 paid holidays off each year, which includes several days off at the end of the year.
• Tuition Assistance - We support the career development of all employees. This program provides financial assistance to employees who wish to further their education and career in relation to their current duties and responsibilities, or for potential future positions in the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree