Company Description
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, Mass.
Culture is key and all Bicycle employees actively embrace and role model our company values:
- We are Adventurous. We believe it’s the way to deliver extraordinary results for our patients.
- 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
We are looking to recruit a Senior data scientist with a strong software engineering and data analytics skillset as well as an oncology background to join our Translational Sciences team. This person would be responsible for leading the development, customization, and maintenance of a biomarker software solution to support our clinical-stage oncology portfolio assets. Key responsibilities would include leading data ingestion, integration, and data visualization efforts for our targeted toxin and immune-oncology clinical programs. Additional responsibilities include managing external scientists/programmers and leading the development of an integrated non-clinical/clinical biomarker database to support both forward and reverse translation.
- Lead the development, customization, and maintenance of a biomarker software solution to support clinical-stage oncology assets
- Technically contribute to and strategically manage external programmers to develop data ingestion, processing, and wrangling pipelines
- Lead the migration of internal R-scripts and Shiny apps onto the software solution
- Support the integration, analysis, and visualization of biomarker and clinical data within and across targeted toxins and immune-oncology clinical trial programs
- Provide platform training and support to Bicycle scientists
- Support data management and integration of translationally focused preclinical and clinical datasets (e.g. Nanostring, NGS)
- Support reverse translation analytics activities by integrating relevant internal and external datasets as well as developing clear analyses and visualizations
- Work in a cross-functional environment and communicate effectively across project teams that consist of data scientists, translational scientists, IT managers/analysts, pharmacologists, clinical scientists…etc.
- Effectively document data transfer specs, R scripts, and data analysis processes
Qualifications
Essential:
- Experience building, customizing, and/or using clinical biomarker software solutions
- Strong computational skillset, including proficiency in at least one coding language (ideally R), and ability to perform the following tasks:
- data ingestion, wrangling, integration, and analysis
- design (both strategically and technically) bioinformatics pipelines
- development of clear and effective data visualizations
- understanding of Shiny apps (or other UI strategies)
- Strong software engineering skills including familiarity with AWS, Posit, and Gitlab
- Strong bioinformatics skills including experience analyzing sequencing data
- Familiarity with the oncology field and oncology-focused biomarker datasets
- Takes initiative, ask questions, and independently moves projects along in a fast-paced environment
- Team player, conscientious, organized, and creative
Desirable:
- Experience working with EDC and/or biomarker data from clinical trials
- Experience in LSAF
Additional Information
- State-of-the-art campus environmentwith on campus restaurant and Montessori nursery
- Flexible working environment
- Competitive reward including annual company bonus
- Employee recognition schemes
- 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
- Enhanced parental leave policies
- 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
All your information will be kept confidential according to EEO guidelines.
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.
Top Skills
What We Do
We are Bicycle Therapeutics, a clinical-stage biopharmaceutical company. We didn’t wait for the next advance against cancer. We created it.
Based on groundbreaking work conceived in the laboratory of Sir Greg Winter with the help of Professor Christian Heinis, we are pioneering the development of bicyclic peptides, or Bicycles® – a novel class of versatile, chemically synthesized medicines. Bicycles are fully synthetic short peptides constrained to form two loops which stabilize their structural geometry. This constraint is designed to confer high affinity and selectivity, and the relatively large surface area presented by the molecule allows targets to be drugged that have historically been intractable to non-biological approaches. Bicycles represent a unique therapeutic class, combining the pharmacological properties normally associated with a biologic with the manufacturing and pharmacokinetic advantages of a small molecule, yet with no signs of immunogenicity observed to date.
Bicycles can be used as Bicycle conjugates to deliver toxin payloads and to precisely target local immune activation within tumors and as Bicycle T-cell modulators, which activate cytotoxic T-cells while circumventing the limitations of antibody and biologic therapies and better enabling combination therapy. Our lead product candidate, BT1718, is a Bicycle toxin conjugate currently being investigated in a Phase I/IIa open label dose escalation and expansion clinical trial sponsored by Cancer Research UK. BT1718 targets Membrane Type 1 Matrix Metalloproteinase (MT1-MMP), also known as MMP-14, which is highly expressed in many solid tumors.
Our strategic collaborations are based on the ability of Bicycles to address a wide variety of targets. Through collaborations with AstraZeneca, Oxurion, Innovate UK and the Dementia Discovery Fund, we work with companies that have deep therapeutic expertise outside of oncology to enable us to more efficiently develop novel medicines for patients.
