Senior Translational Data Scientist

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.