Associate Director, Biologics Data Science
USA - California - South San Francisco (Grand Ave)
Job Description
We are on a quest for cures and are committed to be the world’s premier, most research-intensive biopharmaceutical company. Today, we’re doubling down on this goal to take our Company's leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.
Discovery Biologics is seeking an Associate Director with experience in biologics and data science to expand our abilities to design and engineer biotherapeutics. We are building a department that directly integrates computational and wet-lab researchers with state-of-the-art automation to accelerate the discovery of novel biologics. We are a highly diverse and collaborative group of biologists, engineers, and computer scientists working at the edge of computation, disease biology, and biotherapeutics. We collaborate broadly within our Company and with academic and industry partners to accelerate the pace of biologics discovery and engineering.
We recognize that the diversity in our team is our strength and we are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of researchers to drive our core mission.
Position Description:
This is an individual contributor role with project leadership responsibilities. The successful candidate will work side-by-side with wet-lab researchers to design experiments and build datasets that enable machine learning to predict improved biologics. They will contribute to the identification and application of computational tools that enable the discovery and engineering of biologics. They will partner broadly across Discovery Biologics, Data Science, and IT to implement systems and practices that support high throughput data capture, integration, and the generation of predictive models. As part of project teams, they will analyze diverse multidimensional data to enable teams to drive programs forward. As part of technology development teams, they will pursue novel research that enhances our ability to collect and learn from large datasets. They will mentor, coach, and train fellow researchers. The successful candidate will join a diverse group of innovative researchers who are driving the next revolution in biologics discovery and engineering.
Key Responsibilities:
Develop data science based predictive models for biologics to advance early phase drug discovery programs
Develop computational routines and custom visualizations that enable project teams to impact protein engineering designs and allow teams to rapidly make program decisions from real-time data
Collaborate across groups to systematize and automate the process of capturing raw instrument data and preparing …
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Hybrid Hybrid work Hybrid work model On-site
Benefits/PerksBonus eligibility Collaborative culture Diverse workplace Equal opportunity employer Flexible work arrangements Hybrid work Hybrid work model Inclusion Inclusive culture Inclusive environment Insurance Meetings Mentorship opportunities Paid holidays Retirement benefits Separation benefits package Sick Days Team environment Vacation
Tasks- Business intelligence
- Collaboration
- Communication
- Contribute to publications
- Data modeling
- Data visualization
- Design experiments
- Develop predictive models
- Innovation
- Leadership
- Machine Learning
- Project leadership
- Project management
- Provide technical expertise
- Relationship Management
- Software development
Access Airflow Analysis API Development Architecture Automation AWS AWS Redshift Azure Biochemistry Biologics Biology Biopharmaceutical Biostatistics Biotherapeutics Business Intelligence Business Operations Cloud Collaboration Commercial Communication Computational Computational Biology Computer Computer Science Control systems Data Data Architecture Database Database design Data engineering Data Modeling Data Science Data Visualization Dbt Design Development DevOps Diversity Docker Drug Discovery Education Engineering GCP Git GitHub Inclusion Innovation Integration IT Java Law Leadership Machine Learning Management Manufacturing ML Modeling Operations Oral communication PostgreSQL Predictive models Programming Project leadership Project Management Protein Engineering Python R R&D Redshift Relationship Management Research Science Software Development SQL Talent Acquisition Teams Technical Technical Expertise Technology Technology development Version Control Visualization Visualizations Visualization Tools Waterfall
Experience12 years
EducationBachelor Bachelor's Biochemistry Biology Biostatistics Business Computational Biology Computer Science Data Science Engineering IT Life Science Management Master Master's Ph.D. Related discipline Science Technology
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9