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AI/ML Model Development for Bio-Sequence Prediction

Active

Federal

Response Deadline02/08/2027, 10:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled AI/ML Model Development for Bio-Sequence Prediction, is issued under the National Science Foundation's Tip - Core Programs. The project focuses on the creation of advanced AI and machine learning models designed to predict protein-molecule interactions for prime contractors working on NSF X-Labs bioengineering initiatives. The scope of work includes training models on biological data, developing predictive algorithms, and utilizing high-performance computing to integrate experimental data into machine learning loops. The successful contractor will be responsible for delivering validated algorithms, predictive software models, and robust data integration pipelines. This opportunity falls under NAICS code 541511 and was posted on October 14, 2026, with a response deadline set for February 8, 2027.

General Info

Subcontract for AI/ML model development predicting protein-molecule interactions for NSF bioengineering initiatives.

Agency

National Science Foundation → Tip - Core Programs

NAICS

541511 - Custom Computer Programming Services

Place of Performance

1180, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of NSF-Topic4-FY26-XLabsSequence-to-Function.

The full solicitation package (5 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

NSF X-Labs Initiative - From Sequence to Function

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Timeline

PostedOct 14

subcontract

Response DeadlineFeb 8

Submission deadline

Response Deadline

02/08/2027, 10:00:00 PM UTCin 4 months

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Organization & Contact Information

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AgencyNational Science Foundation → Tip - Core Programs

ContactsNo contacts available

OfficeN/A

Organization / AgencyNational Science Foundation → Tip - Core Programs

Office AddressN/A

ContactsNo contact information available

Full Description

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Develops advanced AI/ML models to predict protein-molecule interactions for prime contractors on NSF X-Labs bioengineering projects. Trains models on biological data, develops predictive algorithms for protein-molecule interactions, and integrates experimental data into ML loops using high-performance computing. Delivers predictive software models, validated algorithms, and data integration pipelines.

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