Associate Director , Data Science, Discovery Biologics

Job Description

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 it for storage and analysis

• Provide technical expertise and leadership for data science working groups and teams

• Author and contribute to presentations, publications, and patents

• Foster a high-performance culture of collaboration, engagement, self-accountability and inclusion

Position Qualifications:

Minimum Education Requirement:

• PhD in Computational Biology, Biostatistics, Biochemistry, Computer Science, Biology, Engineering/Bioengineering, Structural Biology, Biophysics, Chemistry or related STEM discipline with demonstrated expertise in biologics and data science and 4+ years of industry experience

• MS and 8+ years or

• BS +12 years of experience

Required Experience:

• Fluency in at least one modern programming language such as Python, Java or similar; fluency in using version control systems (Git) and branching strategies.

• Strong expertise in data science and data engineering workflow and best practices for life science applications

• Experience working with relational database (SQL) and non-relational database, and designing data models

• Experience in designing, implementing, and maintaining modern data architecture, using the state-of-the-art tools for large scale data applications, such as Airflow, DBT, Kafka, Debezium, Docker, Kubernetes, Datadog

• Extensive experience as a developer using any major cloud platforms (AWS, GCP, Azure)

• Experience in working with microservices and API development