Head of Cheminformatics and Data Architecture
Role details
Job location
Tech stack
Job description
As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. As senior computational biologist, you will be supporting partnership portfolio of preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in immunology and inflammation (I&I) diseases, translationally validates disease contexts in hit-to-lead, and accelerates in vivo work in lead optimization.
You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking , and 3) build evidence for patient connectivity to match the medicines we are creating to the patients who need them.
In this role, you will:
- Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning
- Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
- Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
- Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
- Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
- Collaborate cross-functionally with Recursion's data science, biology, medicinal chemistry, and platform, teams to further advance Recursion's ability to interpret and translate large-scale data assets into therapeutic programs
The Team You'll Join
Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio.
Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support., Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical...
Requirements
- PhD in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in immunology or drug discovery
- Experience with one or more immunology or inflammation disease areas;
- Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R
- Deep expertise in the analysis and data integration of one or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics),Exceptional data visualization skills
- Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations
Nice To Have:
- Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data
- Experience in efficiently advancing drug programs from proof of concept and into clinical development
- Experience with immunology and inflammation clinical trial biomarker analysis
Working Location & Compensation:
This is an office-based, hybrid position at our UK headquarters located in London, England. Employees are expected to work in the office at least 50% of the time.
Benefits & conditions
At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 - £115,500 (GBP). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package., Head / Principal Data Scientist, Analytics & Machine LearningJoin to apply for the Head / Principal Data Scientist, Analytics & Machine Learning role at Valink Therapeutics Salary: Competitive salary at Director or Principal level, depending on experience. Location:...