Research Scientist- Das Lab

University of Pittsburgh; Pittsburgh (Allegheny County); Híbrido; USD 120.000 - 150.000; Jornada completa

Descripción de la vacante

The University of Pittsburgh's Das Lab seeks a Research Scientist to lead projects using machine learning and network-based approaches to integrate multi-omic data in infectious and autoimmune disease contexts. The role includes developing interpretable computational frameworks and coordinating lab projects, timelines, and manuscript preparation.

Candidates should hold a PhD and have strong publication records with expertise in ML, network inference, or multi-omic data analysis, and be prepared

Formación

• PhD in computational biology, systems immunology, or a related field.
• At least 5 years of post-PhD research experience.
• Strong publication record and demonstrated expertise in machine learning, network inference, or multi-omic data analysis.

Responsabilidades

• Conduct independent and collaborative research in computational systems immunology, focusing on ML, data integration, and computational modeling.
• Analyze high-dimensional datasets including single-cell and multi-omic data from human and model systems.
• Design and implement computational strategies to study immune responses and gene regulation.
• Lead or support manuscript preparation, presentations, and grant proposals.
• Provide mentorship to junior lab members and technical staff.
• Engage in lab meetings and cross-lab collaborations to advance research.
• Foster an inclusive, productive lab environment that supports rigorous science.

Conocimientos

Machine learning

Network inference

Multi-omics analysis

Educación

PhD in computational biology / bioinformatics / systems immunology

Descripción del empleo

Conducts independent scientific research projects from inception to presentation. Prepares and crafts various documentations of research results into manuscripts, proposals, grant applications, and presentations. Trains undergraduates and research technicians. Manages laboratory policies and coordinates project development in collaboration with other specialists.

Med-Immunology

Job description

- The Das lab ( www.jishnulab.org ) seeks a Research Scientist to lead projects that use machine learning and network-based approaches to integrate multi-omic data, including single-cell, spatial, genomic, and proteomic modalities, in the context of infectious and autoimmune disease. The Research Scientist will develop and apply interpretable computational frameworks to uncover the cellular and molecular mechanisms that drive immune responses and disease outcomes, working closely with experimental and clinical collaborators. Beyond their own research program, the successful candidate will take on managerial responsibilities for other lab projects. These include coordinating timelines and deliverables, and contributing to manuscript preparation and grant writing.

Skills required

Candidates must hold a PhD in computational biology, systems immunology, or a related field, and have at least three years of relevant post-PhD research experience. A strong publication record and demonstrated expertise in machine learning, network inference, or multi-omic data analysis are expected.

Other information

Our based in the Department of Immunology and part of the Center for Systems Immunology, offers a highly interdisciplinary and collaborative training environment at the interface of systems biology, AI/ML and immunology. Recent representative publications from the lab (relevant to this role) include SLIDE (Rahimikollu et al Nature Methods 2024), SWING (Siwek et al Nature Methods 2025) and CoreNet (Omelchenko et al Nature Communications 2026). The Research Scientist will receive strong support for professional growth, including opportunities to lead high-impact publications, take part in grant development, build leadership and mentoring skills, and present work at national and international meetings. The position is well suited to someone looking to establish an independent research identity within a vibrant, supportive, and intellectually ambitious community.

Essential Functions

• Conduct independent and collaborative research in the field of computational systems immunology, with an emphasis on developing and applying methods in machine learning, data integration, and computational modeling.
• Contribute broadly to the analysis and interpretation of high-dimensional, next-generation sequencing datasets, including single-cell and multi-omic data from human and model systems.
• Participate in the design and implementation of computational strategies to study immune responses, cellular dynamics, and gene regulation.
• Lead or support the preparation of scientific manuscripts, presentations, and grant proposals.
• Provide mentorship and guidance to junior lab members, including trainees and technical staff.
• Actively engage in lab meetings, collaborative projects, and ongoing scientific discussions within the lab and across the broader research community.
• Help maintain a productive and inclusive lab environment that fosters innovation, rigorous science, and interdisciplinary collaboration.

Physical Effort

Minimal Physical Effort.

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Assignment Category

Full-time regular

Bargaining Unit Eligibility

This position is bargaining unit eligible

Job Classification

Staff.Research Scientist

Job Family

Research

Job Sub-Family

Research Science

Campus

Pittsburgh

Minimum Education Level Required

Professional Doctorate Degree

Minimum Years Of Experience Required

5

Will this position accept substitution in lieu of education or experience?

No

Additional Details About Required Licensure/Certification

PhD or equivalent in computational biology, bioinformatics, systems immunology, machine learning, or a related field, plus 5+ years of relevant research experience, including postdoctoral work.

Work Schedule

Monday - Friday, 8:30 a.m. - 5:00 p.m

Work Arrangement

Hybrid: Combination of On-Campus and Remote work as determined by the department.

Hiring Range

TBD BasedUpon Qualifications

Relocation Offered

No

Visa Sponsorship Provided

No

Background Check

For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances

Not Applicable

Required Documents

Resume

Optional Documents

Cover Letter