Jobs at Deliverome Project (Now Hiring) — 4 open

About the Deliverome Project

Deliverome Bio is a nonprofit startup building a first-of-its-kind open atlas of surface protein abundance and internalization. We’re hiring a founding team to generate the data that could expand what targeted therapies can reach.

The Role

Your immediate focus will be to develop, optimize, and automate chemoproteomics workflows for our mass spectrometry-based internalization platform. This end-to-end workflow involves pulse-chase labeling of cell surface proteins in cultured cells, selective cleavage of residual surface label, and enrichment-based proteomics to quantify the fraction of proteins internalized over time. You should have experience with proteome-wide DIA-MS analysis of enrichment-based datasets, including missing-value handling and statistical analysis. You will also collaborate closely with our DIA-MS scientist, others across our organization, and partners to automate glycoprotein capture workflows for bulk human tissues.

Working directly alongside the co-founders, you will help generate integrated, high-quality datasets across assays and platforms that are AI-ready and broadly useful to the biotech community. You will also help shape our long-term strategy for surfaceomics discovery and validation, from optimizing next-generation photocatalytic labeling chemistries in human tissues to establishing partnerships that enable robust orthogonal validation of candidate targets. Experience with therapeutic target discovery, strong scientific judgment, and a collaborative mindset are essential.

Who you are

• You are a bench scientist and platform builder at heart: meticulous, fast, and energized by making an assay scalable and robust rather than just designing it or reading papers

• You're equally comfortable as an individual contributor, leading platform development, collaborating across disciplines, and external CRO management as the early organization evolves

• You think in systems, designing workflows that scale and remain robust across large datasets, not just protocols that work once

• You inspect every TIC and the thought of a poorly behaved instrument or LC keeps you up at night

• You’re motivated by the idea that your data will be openly released and directly used by researchers and drug developers worldwide

What You’ll Do

Platform development and optimization

• Develop and optimize on-cell surface labeling workflows for MS-based internalization profiling, including WGA-HRP and NHS-SS-biotin approaches

• Execute time-course internalization experiments: label cell-surface proteins on ice, initiate internalization by shifting cells to 37°C, harvest at defined time points, remove residual surface label using membrane-impermeant reducing agents, and perform sample preparation, mass spectrometry, and quantitative data analysis

• Collaborate closely with MS colleagues on a platform for glycoprotein enrichment

• Drive the development of next-generation photocatalytic cell-surface labeling technologies for frozen and fixed human tissues

Data analysis and open science

• Contribute to building reproducible computational pipelines for proteomics quantification and AI-ready atlas data integration, supporting a rapid public data release cadence

• Systematically document experimental methods, instrument performance, and QC metrics across data batches

• Co-author open-access blog posts, open protocols, and publications/white papers

What We’re Looking For

Required

• PhD in proteomics, chemical biology, biochemistry, cell biology, or a closely related field, with 2-8 years of postdoctoral experience (industry preferred)

• Deep hands-on experience with MS acquisition and analysis, with proficiency in tools such as Spectronaut, DIA-NN, or equivalent software. Hands-on experience with downstream statistical analysis and cross-cohort normalization.

• Strong expertise in high throughput enrichment proteomics sample preparation workflows and automation with an understanding of strategies that reduce sample loss without compromising data quality. Knowledge of appropriate technical controls for large cohort studies and plate-based preps.

• Strong cell culture skills and willingness to work hands-on at the bench/hood.

• Demonstrated ability to independently develop, optimize, and troubleshoot mass spectrometry workflows—not just execute established protocols or kits.

Highly valued

• Hands-on experience with MS and LC onboarding, upkeep, and routine maintenance

• Exposure to surface proteomics enrichment methods such as cell surface capture, NHS-biotin labeling, or proximity labeling approaches

• Experience working with human tissues

• Strong quantitative data analysis skills, including differential abundance analysis, normalization strategies, automated QC flagging, and statistical modeling of proteomics data in R or Python

Title and compensation

The base salary for a Senior Scientist is $130,000-160,000. We would also consider outstanding Principal Scientist level hires depending on skills and competence. We are more open to candidates transitioning from industry proteomics roles than to graduate students and postdoctoral researchers but will consider all highly qualified applicants for this job: depth of hands-on enrichment proteomics experience and the ability to drive a platform independently are what matter most.

What We Offer

• Competitive salary and bonus benchmarked to industry rates

• Full benefits including health, dental, and retirement

• A founding team role: your decisions will shape the platform and the organization

• Open science by design: your work will be published

• Unprecedented access to world-class advisors, partners, and collaborators across proteomics, functional genomics, targeted delivery, and AI

• A culture that values rigor, transparency, and speed, but doesn’t mistake busyness for productivity

Recruitment and staffing agencies

Recruitment and Staffing Agencies: The Deliverome Project does not accept unsolicited resumes from recruitment agencies or staffing firms. Any unsolicited candidate submissions will be considered non-confidential, and The Deliverome Project will not be responsible for any staffing, placement, or referral fees associated with such submissions