Data Scientist – Lupus Nexus Analytics (Remote)

Lupus Research Alliance; New York (NY); Hybrid; USD 125,000 - 150,000; Full time

Job summary

The Lupus Research Alliance seeks a Data Scientist to support the Lupus Nexus data infrastructure, integrating a patient registry with a linked biorepository and analytics platform. The role involves managing and analyzing complex datasets, building data pipelines, and collaborating with researchers to translate questions into analyses.

The ideal candidate has strong programming skills, experience with clinical and omics data, and a track record of scientific writing.

Qualifications

• PhD in immunology, biomedical sciences, biostatistics, epidemiology, computational biology, bioinformatics, or 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 is preferred.
• Proficiency in at least one programming language commonly used for scientific analyses (e.g., R, Python).
• Experience with observational research methods and with clinical or real-world data standards (e.g., OMOP or CDISC) preferred.
• Experience with immunology or autoimmune disease data preferred.
• Experience with human-subjects data under consent, IRB and privacy requirements.
• Demonstrated ability to think strategically, work independently, and manage multiple activities on tight timelines.

Responsibilities

• Oversees data analysis pipelines and data quality across datasets from vendors and researchers.
• Oversee metadata management and data harmonization for standardized sharing.
• Contribute to quality control assessments by the LNx Scientific Review Committee.
• Collaborate with internal staff and external vendors to integrate clinical and research data across platforms.
• Engage with collaborators to identify data needs and improve data workflows.
• Independently develop and execute code-based analyses of complex clinical, immunological, and multi-omics datasets.
• Develop reproducible workflows and document methods and outputs for transparency.
• Identify opportunities to leverage existing datasets to answer new questions.
• Support researchers in determining feasibility and inclusion/exclusion criteria.
• Serve as a scientific computational resource and contribute to abstracts/publications/reports.

Skills

Programming in R/Python

Clinical/multi-omics analysis

Scientific writing

Independent researcher

Education

PhD in immunology/biomedical sciences/biostatistics/epidemiology/computational biology

MS with 8+ years experience

Tools

R Studio

Jupyter Notebook

Nextflow

Docker

AWS

SQL

GitHub

Job description

The Lupus Research Alliance seeks a Data Scientist to support the Lupus Nexus data infrastructure, integrating a patient registry with a linked biorepository and analytics platform. The role involves managing and analyzing complex datasets, building data pipelines, and collaborating with researchers to translate questions into analyses.

The ideal candidate has strong programming skills, experience with clinical and omics data, and a track record of scientific writing.