Senior or Principal Data Scientist - Research Analytics

UCB • Cambridge, MA

26d • Hybrid

About The Position

Data 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 organization's 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.

Requirements

• 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.
• Strong biological and/or chemical domain knowledge
• Understanding 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 teams
• Strong programming skills in relevant language(s) (R / Python)
• Excellent written and oral communication skills demonstrated by publications and conference presentations

Nice To Haves

• Prior experience (4+ yrs) in pharma or biotechnology industry is a bonus.
• Experience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.)

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Nondurable Goods
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees