Bicycle Therapeutics is a clinical-stage pharmaceutical company developing a novel class of medicines, referred to as Bicycle molecules, for diseases that are underserved by existing therapeutics. Bicycle molecules are fully synthetic short peptides constrained with small molecule scaffolds to form two loops that stabilize their structural geometry. This constraint facilitates target binding with high affinity and selectivity, making Bicycle molecules attractive candidates for drug development. The company is evaluating zelenectide pevedotin (formerly BT8009), a Bicycle Toxin Conjugate (BTC) targeting Nectin-4, a well-validated tumor antigen; BT5528, a BTC molecule targeting EphA2, a historically undruggable target; and BT7480, a Bicycle Tumor-Targeted Immune Cell Agonist (Bicycle TICA) targeting Nectin-4 and agonizing CD137, in company-sponsored clinical trials. Additionally, the company is developing Bicycle Radio Conjugates (BRC) for radiopharmaceutical use and, through various partnerships, is exploring the use of Bicycle technology to develop therapies for diseases beyond oncology.
Bicycle Therapeutics is headquartered in Cambridge, UK, with many key functions and members of its leadership team located in Cambridge, Massachusetts, US.
Culture
is key and all Bicycle employees actively embrace and role model our company values: We are
Dedicated to our Mission . You can’t change the world if you don’t have determination. We are
One Team . We only succeed when we work together. Job Description
The Senior Manager Statistical Programming will act as statistical programming lead for various clinical studies. You will collaborate with Biostatisticians and Statistical Programmers and ensure high quality and timely statistical programming deliverables. You also will perform oversight on the counterpart from vendors. You will report to the Senior Director, Statistical Programming. You should demonstrate leadership competencies and have extensive experience in SAS programming within a biopharmaceutical clinical trials environment and in-depth understanding of CDISC standards and drug development principles, preferably in the solid tumor therapeutic area. Collaborate closely with Biostatistics, Data Management, Medical, Safety, Clinical Research, Clinical Operation, and other functions within Bicycle Therapeutics to address their needs for statistical programming support. Develop and validate programming specifications for tables, listings, and figures. Develop and validate SAS programs that generate tables, listings, and figures. Apply knowledge of CDISC SDTM and ADaM to develop and validate SDTM annotated CRF, SDTM mapping specifications, and ADaM specifications. Develop and validate SAS programs that generate SDTM and ADaM datasets. Create and validate files necessary to support electronic submission in eCTD format. Conduct statistical programming and/or statistical simulations to support clinical decision making, regulatory interaction, and publication. Support development of CRF, edit checks, review of Data Transfer Specifications, and any other collaborations with the Data Management function. Qualifications
Good Clinical Practice (GCP) proficient. Broad and advanced knowledge of Biostatistics and relevant disciplines related to clinical development and clinical studies, preferably in the solid tumor therapeutic area. Proficient programming skills using SAS, with in-depth experience in BASE SAS, SAS/STAT, and SAS Macro. Ability to independently manage multiple projects, strong problem-solving skills, and excellent teamwork spirit. Excellent communication skills, both written and verbal. Additional Information
State-of-the-art campus environment with on-campus restaurant and Montessori nursery. Flexible working environment. Competitive reward including annual company bonus. 28 days annual leave in addition to bank holidays + option to buy up to 5 additional days annually. Employer contribution to pension (employee does not have to contribute). Life assurance cover 4x basic salary. Private Medical Insurance, including optical and dental cover. Group income protection. Employee assistance program. Health Cash Plan. Access to company subsidized gym membership. Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc. Cycle to work scheme. Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.
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is key and all Bicycle employees actively embrace and role model our company values: We are
Dedicated to our Mission . You can’t change the world if you don’t have determination. We are
One Team . We only succeed when we work together. Job Description
The Senior Manager Statistical Programming will act as statistical programming lead for various clinical studies. You will collaborate with Biostatisticians and Statistical Programmers and ensure high quality and timely statistical programming deliverables. You also will perform oversight on the counterpart from vendors. You will report to the Senior Director, Statistical Programming. You should demonstrate leadership competencies and have extensive experience in SAS programming within a biopharmaceutical clinical trials environment and in-depth understanding of CDISC standards and drug development principles, preferably in the solid tumor therapeutic area. Collaborate closely with Biostatistics, Data Management, Medical, Safety, Clinical Research, Clinical Operation, and other functions within Bicycle Therapeutics to address their needs for statistical programming support. Develop and validate programming specifications for tables, listings, and figures. Develop and validate SAS programs that generate tables, listings, and figures. Apply knowledge of CDISC SDTM and ADaM to develop and validate SDTM annotated CRF, SDTM mapping specifications, and ADaM specifications. Develop and validate SAS programs that generate SDTM and ADaM datasets. Create and validate files necessary to support electronic submission in eCTD format. Conduct statistical programming and/or statistical simulations to support clinical decision making, regulatory interaction, and publication. Support development of CRF, edit checks, review of Data Transfer Specifications, and any other collaborations with the Data Management function. Qualifications
Good Clinical Practice (GCP) proficient. Broad and advanced knowledge of Biostatistics and relevant disciplines related to clinical development and clinical studies, preferably in the solid tumor therapeutic area. Proficient programming skills using SAS, with in-depth experience in BASE SAS, SAS/STAT, and SAS Macro. Ability to independently manage multiple projects, strong problem-solving skills, and excellent teamwork spirit. Excellent communication skills, both written and verbal. Additional Information
State-of-the-art campus environment with on-campus restaurant and Montessori nursery. Flexible working environment. Competitive reward including annual company bonus. 28 days annual leave in addition to bank holidays + option to buy up to 5 additional days annually. Employer contribution to pension (employee does not have to contribute). Life assurance cover 4x basic salary. Private Medical Insurance, including optical and dental cover. Group income protection. Employee assistance program. Health Cash Plan. Access to company subsidized gym membership. Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc. Cycle to work scheme. Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.
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