Data Scientist Research

2 weeks ago

London, Greater London, United Kingdom invoX Pharma Limited Full time
Principal Data Scientist

Department:
Data Science

Employment Type:
Permanent - Full Time

invoX is a research-driven global biopharmaceutical company using next-generation technology platforms to discover and develop innovative medicines that can change the lives of people around the world.

Our vision is to be a leading global biopharmaceutical company with an advancing pipeline of products addressing the unmet healthcare needs of patients.

To help continue our growth and success, we are looking for a creative, proactive and highly motivated Data Scientist with strong expertise in cancer genomics and/or immuno-oncology to join a multidisciplinary team.

The role will involve working across multiple teams and projects to deliver actionable insights from clinical and pre-clinical multi-modal data and developing invoX's bioinformatics capabilities to discover new biomarkers.

You will generate novel hypotheses and develop our biomarker plans through the design of experiments and the analysis of in-house generated and publicly available multi-omics clinical datasets.

invoX is a wholly owned subsidiary of Sino Biopharmaceutical Limited, a Hong Kong listed global top 40 pharmaceutical company with more than 24,000 employees.

Work within and across multidisciplinary teams to understand various scientific and technical challenges and proactively impact these using data science and ML/AI.

Apply appropriate cutting-edge data science tools to deliver actionable insights driving patient selection, mechanisms of action and develop the next generation of cancer therapeutics.

Derive new insights from the integration analysis of multi-modal, publicly and in-house generated datasets to help advance the development of invoX drug candidates.

Work with the Translational Sciences and Clinical Development teams to translate questions into data requirements, analysis workflows, and provide innovative ways to identify and visualise meaningful patterns in complex data.

Help with the design, curation and maintenance of internal data curation and analysis pipelines.
Share code, mentor and train peers in the tools critical to understanding complex data.
Provide guidance on experimental design and work collaboratively to influence the generation of data assets.

Continue to stay up to date on the latest relevant technologies, scientific literature, and translate your learnings into evolving best practices in data science at invoX.

Participate and present data at internal and external meetings, generate internal reports and contribute towards scientific publications, patents and regulatory submissions.

You will have a MSc/PhD/DPhil in bioinformatics, computational biology, natural sciences/molecular biology/genetics/biochemistry, computer science, data science, statistics or a related field, Plus significant industry experience.

You'll have applied your data science/bioinformatic research expertise in a cancer research/immunology related fields (e.g., cancer genomics and/or immuno-oncology projects) for a number of years and have experience in analysing and integrating data from high density data types in a clinical setting (genomics, transcriptomics, proteomics and flow cytometry).

You'll have good programming skills (especially in R and Python), familiar with linear and mixed models, Bayesian Inference, machine learning and AI, experienced in using relational databases as well as cloud services for storage and computing (AWS-S3, etc).

You'll have worked with regulated environments such as GxP/GCP/GMP when working with tools and databases.

You'll have the capability of successfully managing multiple simultaneous projects, with excellent communication and presentation skills, both face-to face and in remote environments.

You are creative, proactive, goal oriented and have an out-of-the-box thinking.
Experience in industry/biotech and/or core facility environments.
Experience in web-based analysis applications (R Shiny App Development).
Experience with computer vision (i.e. image analysis)

Familiarity with cancer databases:
Experience with clinical trial data in SDTM (Study Data Tabulation Model) format.
We are ambitious so we work hard to create an environment where we can take smart risks.

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