Join us.
DMPK Principal Scientist
The Company
BenevolentAI unites technology with human intelligence to re-engineer drug discovery and deliver life-changing medicines. We have developed the Benevolent Platform®, a drug discovery platform built on powerful data foundations with state of the art machine learning and AI technology. Our technology empowers scientists to decipher the vast and complex code underlying human biology, find new ways to treat disease and personalise medicines to patients. Benevolent has active in-house R&D drug programmes in disease areas such as neurodegeneration, immunology, oncology and inflammation and has research and commercial collaborations with leading pharmaceutical and research organisations. The company is headquartered in London with a research facility in Cambridge (UK) and a further office in New York.
Who we are
We are an eclectic bunch at Benevolent, united by our belief that innovative thinking and purposeful technology can truly change outcomes for the better. Our mission is to re-engineer drug discovery and deliver life-changing medicines for patients in need and we do this by applying AI, machine learning and other advanced technologies to reinvent the ways drugs are discovered and developed. We strive to bring together unique skills and perspectives across biology, chemistry, engineering, AI research, informatics, precision medicine and drug discovery.
The Role
This is an exciting opportunity to join an expanding team within BenevolentAI. In this role, you will be based in the laboratory, responsible for driving assay design, and performing and reporting DMPK assays and parameters. Reporting through your line manager to the Director of DMPK and In Vivo, you will work closely with the laboratory lead and project reps to shape and align the in house assay platform to support the pipeline project screening cascades. This position will allow you to develop your knowledge of the discipline while actively shaping our laboratory platform, and most importantly, influencing the progression of projects.
Primary Responsibilities
- Design and perform DMPK experiments, communicate results to project teams, and solve project issues.
- Champion and develop new approaches, processes and assays within the group, and proactively drive change. Perform a range of ADME assays, ensuring quality and timely delivery.
- Provide bespoke adaptations to assays to solve project problems such as enzyme phenotyping, metabolite ID etc.
- Conduct data processing, as well as data review and QC checking.
- Keep abreast of literature; interact with peers in the ADME/DMPK scientific arena.
- Use state-of-the-art automation to perform laboratory work, in conjunction with a LIMS system (Watson) to manage our PK workflow.
- Where appropriate, you will represent DMPK as the subject matter expert on project teams.
- Build an open, honest, and collaborative relationships within and outside the DMPK function.
Additional Responsibilities
- Work closely with database leads to ensure all data is reported and available in Dotmatics ELN and database.
- Coach junior staff with experimental design and troubleshooting, foster a highly innovative mindset and guide development of new assays, being a role model for scientific excellence.
- Critically evaluate our processes and contribute to assay development, including the experimental design, execution, data reduction and interpretation.
We are looking for someone with
- You will hold a B.Sc., M.Sc. and/or Ph.D. in chemistry, biology, pharmacology or related field of research or equivalent experience.
- A proven track record of considerable years' experience, around in vitro and in vivo DMPK and excellent knowledge of ADME and ideally PK. Able to couple data to optimization and selection in discovery and development.
- In-depth knowledge of ADME scientific area and proactively can propose new development in tools or study designs.
- Experience in working with cross functional project teams to support drug discovery and/or pre-clinical development.
- A strong understanding of bioanalytical methodology and metabolism/pharmacokinetic data analysis. Experience of metabolite identification, using a Q-tof platform or similar is preferred.
- Be well organised, self-motivated and with excellent communication skills and attention to detail.
- Be proficient in operating and trouble-shooting HPLC-tandem mass spectrometers(LC-MS/MS).
- Familiarity with using Masslynx, Metabolynx, Openlabs and Analyst software in addition to Watson LIMS and Phoenix Win/Nonlin.
- Ideally with some experience of supervising, managing and developing staff.
- Computing skills, including word processing and use of spreadsheets (e.g. Microsoft Office packages and Google G-suite).
Together, we envision a world in which no disease goes untreated. If you are benevolent, curious, want to tackle real world problems and are willing to embrace new ideas, hit that ‘apply’ button and join us.
Important Note
It has come to our attention that unfortunately fraudsters have been falsely offering jobs and set-up fake interviews under the guise of being a Benevolent recruiter. We therefore advise you to be very stringent about who is reaching out to you. Any enquiry from our team will only be made via the email careers@benevolent.ai or an email from this domain @benevolent.ai. Please flag any suspicious contact request to hello@benevolent.ai
