Link copied to clipboard!
Back to Jobs
Senior or Principal Data Scientist Research Analytics at UCB
UCB
Cambridge, MA
Information Technology
Posted 0 days ago
Job Description
Make your mark for patientsData Science and Analytics (DSA) is a global team focusing on creating impact and value for patients using data and translational research and is a key contributor to the organizations Digital Business Transformation. Within DSA the Research Analytics group is driven by answering scientific questions during drug candidate discovery. We focus on applying data science and data analytics approaches to bring insights to each experiment and our contributions span across multiple modalities and research platforms including small molecules macrocyclic peptides targeted protein degradation biologics and gene therapy.As a Senior/Principal Data Scientist within the Research Analytics team you will help provide analytics solutions to inform compound and Ab discovery and prioritization for our early drug discovery platforms. Primary responsibilities will include mining analyzing machine learning on and visualizing diverse data to help identify initial hits or tool compounds and establish early structure-activity relationships for these hits. The relevant datasets include imaging gene expression and data from high throughput screens as well as sequencing output from in vitro selection methods (e.g. mRNA display data for peptides). Capturing findings to enable meta-analysis and the interpretation and communication of results in interdisciplinary project teams are integral parts of the role. You will work closely with our scientists across departments and research sites and actively collaborate with external academic and industrial partners.Job Scope & Accountabilities:Enhance data processing pipeline to support experimental set-up and analyses on assays mentioned above.Deliver data-driven insights on molecules using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing mRNA display affinity selection mass spectrometry)Active collaboration and clear communication with relevant stakeholders in function areas such as Discovery Biology Medicinal Chemistry Computational Chemistry Protein Sciences and fellow data science teams & IT.Education & Qualifications:PhD in biological chemical or data science with strong skills & experience in informatics statistics or computer science and demonstrated delivery in the life sciences space. Prior experience (4 yrs) in pharma or biotechnology industry is a bonus.Job Specific Skills and Knowledge:Strong biological and/or chemical domain knowledgeUnderstanding of data types file formats and common metadata used in biology including high-dimensional experiments such as imaging or high-throughput experiments such as peptide/biologics display and mass spectrometry.Experience with machine learning on large / high dimensional datasets including data manipulation wrangling and analytics.Experience with machine learning on chemical sequence and/or biological features.Demonstrated ability to work as part of interdisciplinary teamsStrong programming skills in relevant language(s) (R / Python)Excellent written and oral communication skills demonstrated by publications and conference presentationsExperience with programmatic querying of relational or graph databases is desirable (SQL neo4j etc.)Base Salary Range (Cambridge MA): $137600 to $180600Are you ready to go beyond to create value and make your mark for patients If this sounds like you then we would love to hear from you!About usUCB is a global biopharmaceutical company focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe inspired by patients and driven by science.Why work with usAt UCB we dont just complete tasks we create value. We arent afraid to push forward collaborate and innovate to make our mark for patients. We have a caring supportive culture where everyone feels included respected and has equal opportunities to do their best work. We go beyond to create value for our patients and always with a human focus whether thats on our patients our employees or our planet. Working for us you will discover a place where you can grow and have the freedom to carve your own career path to achieve your full potential.At UCB weve embraced a hybrid-first approach to work bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position roles are hybrid with 40% of your time spent in the office.UCB is an equal opportunity employment decisions will be made without regard to any characteristic protected by applicable federal state or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment your employment with UCB or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws orders and regulations.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.Required Experience:Staff IC Key Skills Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 137600 - 180600
Resume Suggestions
Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.
Quantify your achievements with specific metrics and results whenever possible to show impact.
Emphasize your proficiency in relevant technologies and tools mentioned in the job description.
Showcase your communication and collaboration skills through examples of successful projects and teamwork.