The Company
Transition Bio is an innovative, early-stage biotechnology company with the vision of being the world leader in drug discovery targeting biological condensates. At Transition Bio, multidisciplinary teams with diverse skillsets in biology, biophysics, chemistry, engineering, and machine learning work closely together, building first-in-class technology for high-throughput screening to aid hit identification and driving drug discovery. With close affiliation to Cambridge and Harvard universities, our approach is truly original and encompasses a growing collection of novel technologies and methodologies.
The Opportunity
We are seeking an experienced Senior Data Manager to join our research group. The successful candidate will be an integral part of our research discovery team. They will lead the execution of all data management activities, ensuring focus on data integrity, reliability in accordance with standard procedures, industry guidelines and best practices. They will manage, and be accountable for, our scientific data infrastructure (Dotmatics), with a particular focus on ADMET and DMPK data. This role offers the opportunity to also input into the company’s overall ADME/PK strategy.
The successful candidate will be independent, a self-starter and have strong interpersonal skills. They will have a successful track-record and enjoy working in a truly multi-disciplinary environment.
This position will interact closely with Transition Bio colleagues across cell biology, biophysics, biochemistry, medicinal chemistry, as well as external consultants and CROs.
Key Responsibilities
- Collaborate with scientists at all levels of discovery to ensure provision and support for chemical, pharmacological, biophysical and ADMET/DMPK data information systems
- Implement, customise, maintain, curate, and develop databases, software solutions and supporting technologies from a range of vendors
- Exceptionally proficient in using the Dotmatics platform and integrating others (e.g. Benchling) to coordinate data curation, annotation, and assimilation
Required Qualifications and Experience
- B.Sc. or M.Sc. in a drug discovery-relevant discipline (e.g. chemistry, pharmacology, biochemistry, etc.) and significant experience in a Biotech or Pharma organisation
- Proficient in running a research informatics system (e.g. Dotmatics platform), inventory, assay data analyses and ingestion of external data from multiple sources
- Experience with use of electronic laboratory notebook (ELN) systems and developing standard operating procedures (SOPs)
- Strong understanding of data structure and quality control
