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InVitro
Cambridge

Senior Scientist - RNA Sequencing

With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.

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The Role

We are looking for innovative and highly creative drug discovery scientists to join a team focused on AI-driven target identification and supporting drug discovery programmes. You will contribute to our technology-enabled drug discovery programmes, from hit identification through to pre-clinical. As a central member of a dynamic, multi-disciplinary team of scientists passionate about reinventing the way new medicines are developed, you will bring your understanding of bioinformatics and RNA sequencing to rapidly move projects into clinical evaluation.

We are looking for a scientist/senior scientist to help generate, QC and analyse in-house Omics data. You will be expected to analyse and report data to project teams and work in collaboration with cross-functional teams.

Based at the Babraham Research Campus in Cambridge (UK), you will work closely with experts in artificial intelligence, informatics, biological sciences, and chemical sciences teams to devise creative ways to reimagine the way medicines are discovered.

Primary Responsibilities

  • Setup in vitro RNA-seq studies with cell lines or primary cells.
  • Generate cDNA libraries for RNA-seq analysis.
  • Use automation for RNA-seq library preparation.
  • Accurately analyse and report omics QC data.
  • Process and analyse datasets to generate biological insights that lead to testable hypotheses relevant to Drug Discovery and Clinical Development programmes undertaken by BenevolentAI.
Additional Responsibilities
  • Capture data using electronic lab books and databases such as Dotmatics.
  • Write guidance documents and SOPs.

We are looking for someone with

  • Strong background and understanding of different NGS technologies including Illumina sequencing.
  • Hands-on experience working with omics data types such as RNA-seq and/or scRNA-seq.
  • Experience in generating high-quality cDNA libraries for RNA-seq/’DRUG-seq’ platforms.
  • Experience analysing ’omics data and applying state of the art methods to address biological problems.
  • Good programming ability in relevant frameworks and languages such as Python, WDL, CWL, Nextflow, or shell scripting.
  • Experience working in cell culture with immortalised cell lines and primary cells.
  • Experience with automation.
  • Strong organisational and communication skills, both verbal and written, with an ability to work to deadlines.
  • Ability to work in a safe manner ensuring procedures/SOPs are followed at all times.
Nice to haves
  • Experience with DNAnexus platform would be considered beneficial.
  • Familiar with the language packages that support Bioinformatics, Data Science and Machine Learning activities

We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey.  If that sounds like a fit for you, hit the apply button and join us.

About us

BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities.  In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

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Important Note

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