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About the Role
The Data Scientist will support a critical initiative for the lupus community by managing and analyzing complex scientific and clinical datasets. This role will build and manage scientific data pipelines, conduct code-based analyses, interpret findings, and partner with researchers to generate high-quality, reproducible research and biological insights.
Responsibilities
- Manage and oversee scientific data analysis pipelines, ensuring accuracy, consistency, and completeness of scientific datasets.
- Oversee metadata management and data harmonization efforts.
- Contribute to the resolution and documentation of data queries.
- Contribute to the review and quality control assessments of scientific data.
- Work with internal staff and external vendors to ensure seamless integration and interoperability of clinical and research data.
- Engage with key collaborators and business partners to identify data needs, improve data workflows, and enhance research data usability.
- Independently develop and execute code-based analyses of complex clinical, immunological, and multi-omics datasets.
- Develop reproducible analytical workflows and document code, methods, assumptions, and outputs.
- Proactively identify opportunities to leverage existing datasets and pipelines to answer new scientific questions.
- Use available clinical and scientific data to support researchers with determining feasibility and refining inclusion/exclusion criteria for research projects.
- Serve as a scientific computational resource for researchers.
- Lead or contribute to abstracts, publications, and an annual data report.
- Manage data access requests and review processes, ensuring compliance with governance policies.
- Establish and manage procedures for maintaining scientific data provenance and governance.
- Contribute to the development of policies and procedures for the ethical and effective release of scientific data.
- Apply disclosure controls before results are released.
Requirements
- PhD in immunology, biomedical sciences, biostatistics, epidemiology, computational biology, bioinformatics, or a related field, with 3+ years of relevant experience, or MS with 8+ years.
- Experience analyzing both clinical and multi-omic/molecular data.
- Experience with longitudinal clinical or real-world data strongly preferred.
- Working knowledge of R Studio and Jupyter Notebook required.
- Working knowledge of Nextflow and Docker a plus.
- Working knowledge of AWS environments, SQL, and GitHub or other version control preferred.
- Proficiency in at least one programming language commonly used for scientific analyses (e.g., R, Python).
- Ability to write, modify, debug, and maintain analytical code.
- Experience with observational research methods preferred.
- Experience with clinical or real-world data standards (e.g., OMOP or CDISC) preferred.
- Experience with immunology or autoimmune disease data preferred.
- Experience working with human-subjects data under consent, IRB and privacy (e.g., HIPAA) requirements.
- Demonstrated ability to think strategically.
- Hands-on, self-directed, detail-oriented, organized, and conscientious.
- Able to explain data, methods, and limitations clearly to researchers.
- Strong scientific writing skills.
- Must be able to work independently and prioritize and manage multiple activities within tight timelines.
- Team player who can build excellent working relationships.
Skills
- R Studio
- Jupyter Notebook
- Nextflow
- Docker
- AWS environments
- SQL
- GitHub
- R
- Python
- Observational research methods
- Clinical data standards
- Real-world data standards
- Immunology data analysis
- Autoimmune disease data analysis
- Human-subjects data management
- Strategic thinking
- Scientific writing
- Data analysis
- Data governance
- Data harmonization
- Metadata management
- Multi-omics data analysis
- Biomarker data analysis
Location
- Remote
- Hybrid NYC
Work Type
- Remote
- Hybrid
Experience Level
- 3+ years of relevant experience (with PhD)
- 8+ years of relevant experience (with MS)
Education Level
- PhD in immunology, biomedical sciences, biostatistics, epidemiology, computational biology, bioinformatics, or a related field
- MS in a related field
Salary/Compensations
- $125,000 - $150,000
About the Company
- The Lupus Research Alliance (LRA) is the world’s largest non-governmental funder of lupus research.
- The LRA envisions and brings to life a unique infrastructure that integrates a patient registry with a linked biorepository and a data analytics platform, referred to as the Lupus Nexus (LNx).
- This resource will expedite scientific discovery and clinical development and accelerate precision medicine in lupus, with the goal of transforming lupus care.
Equal Opportunity
- The Lupus Research Alliance, Inc. is an Equal Opportunity Employer, committed to equal opportunity for all regardless of race, ethnicity, color, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity/orientation/preference, class or socioeconomic status, marital status, age, ability, or Veteran status.