Procurement of Consultancy Service to Design Additional Office Space at the Administration Complex, Bodles Research Station in St. Catherine.

The Government of Jamaica, through the Ministry of Agriculture, Fisheries and Mining, is procuring consultancy services to design additional office space at the Administration Complex located at Bodles Research Station in Bodles Pen, Old Harbour, St. Catherine. The procurement is conducted under National Competitive Bidding with solicitation number 1629/976 and was posted on July 13, 2026, with a submission deadline of August 13, 2026. The expected delivery date for the completed design services is March 31, 2027. The scope of work requires the consultant to produce comprehensive architectural and construction documentation, including technical drawings and specifications, to support the planning and permitting process for the new office space, aligning with the PPC Category Code W0030 for Building Construction and applicable Jamaican regulatory standards. The contract does not include predefined pricing, estimated value, or funding identifiers, and no payment, invoicing, or accounting details are specified. The primary point of contact for inquiries is Paul East of the Ministry, reachable via telephone, though roles such as Contracting Officer or COTR are not formally designated in the documentation. Performance will be fully executed at the Bodles Research Station site, with no mention of FOB terms, packing requirements, or delivery logistics, as the engagement involves professional services rather than physical goods. There is no explicit breakdown of evaluation criteria, nor are there details on proposal format, submission media, or required certifications from respondents. The procurement is conducted under Jamaican government procedures and does not incorporate U.S. Federal Acquisition Regulation clauses, nor are there references to socioeconomic set-asides, security clearances, key personnel, or options. No attachments or supplemental documents are listed in the available data.