Title: Computational Biologist

Location: Upper East Side

Org Unit: Laura Beth McIntire Lab

Work Days:

Weekly Hours: 35.00

Exemption Status: Exempt

Salary Range: $66,400.00 - $73,000.00

As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices

Position Summary

The McIntire Lab is seeking a highly motivated Computational Biologist to support ongoing and expanding research programs in neurodegeneration, multi-omics biomarker discovery, and spatial data integration. The laboratory integrates PET and MRI imaging, immunoassays, lipidomics, transcriptomics, and spatial omics technologies to investigate mechanisms of Alzheimer’s disease and related disorders. The selected candidate will provide computational support across multiple large-scale projects and will contribute to data processing, analysis pipeline development, and scientific reporting.

Job Responsibilities

Process, integrate, and analyze multimodal datasets including PET/MRI biomarkers, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging.
Implement and maintain reproducible computational pipelines in R and Python following the laboratory’s established workflows.
Support data harmonization and cross-cohort analyses for large consortia datasets (ADNI, ROSMAP, BHII internal cohorts).
Contribute to the development of new analysis frameworks for spatial multi-omics integration.
Generate figures, tables, QC reports, and analysis summaries for manuscripts, grants, and presentations.
Collaborate closely with wet-lab and imaging teams to ensure proper data structure, metadata tracking, and pipeline consistency.
Participate in lab meetings, present analysis updates, and document computational procedures for internal use.

Education

Bachelor's Degree in biology, computer science, bioinformatics, biomedical engineering, data science, or a related field.

Experience

Experience with high-dimensional data, including single-cell or spatial transcriptomics.

Experience with Neuro Degeneration biomarker datasets (PET, MRI, immunoassays, ADNI).

Prior experience working in collaborative, fast-paced research environments.

Familiarity with cloud computing, reproducible scripting, and version control (Git/GitHub).

Familiarity with lipidomics workflows (LipidSigR, maplet, mass spectrometry preprocessing).

Knowledge, Skills and Abilities

Strong proficiency in R and Python, with experience in multi-omics analysis workflows (Seurat, Scanpy/Squidpy, Giotto, WGCNA and lipidomics pipelines).
Ability to interact with multidisciplinary teams and translate biological questions into computational tasks.

Licenses and Certifications

Working Conditions/Physical Demands

Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Weill Cornell Medicine

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