Director, Computational Biology (Core)

Expiring today

Employer
BlueRock Therapeutics
Location
Cambridge, Massachusetts, US
Salary
Competitive
Posted
Apr 28, 2021
Closes
May 11, 2021
Ref
2131559049
Discipline
Biology
Employment Type
Full time
Salary Type
Salary
Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit.
We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options.
We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients' lives.

Description of position

The Director/Sr. Director role in Computational Biology will be a key leader of a dynamic and progressive team Companying pluripotent stem cell-based therapies utilizing state-of-the-art culturing technology at commercial scale. The computational biology department performs a wide variety of functions across the organization, from genomic sequence analysis through to wearables for tech transfer activities. Computational biology seeks to aid in these efforts by providing access to cutting edge analytical techniques. Data collection and scalable storage platforms form the backbone of the computational platform and provide the data and analysis needed for rapid prototyping and experimentation. The department will provide critical insights into cell therapy process development and manufacture with the ultimate goal of optimizing and streamlining these tasks. The successful candidate will lead a diverse, cross-site team of computational biologists executing a wide range of projects, including working directly with program leads. The candidate should be comfortable communicating complex analytical pipelines while at the same time translating corporate goals into discrete, actionable tasks for the computational team.

KEY DUTIES & RESPONSIBLITIES

Help build define, and develop the bioinformatics strategy at BlueRock across the entire drug development process from laboratory through clinical testing
Oversee and orchestrate a multi-site team of computational biologists, enabling cross-site team integration
Supervise development of multiple NGS pipelines and workflows, working with "wet lab" teams to produce new technologies
Work with BlueRock's external partners for tech transfer of code
Manage, design, and execute scalable data storage solutions for the various data types generated at BlueRock Therapeutics, working closely with the IT group to enact solutions
Oversee design and implement a GUI interface for basic database queries and data visualization techniques, working closely with end-stage users to ensure ease of use and relevance
Identify and evaluate new publications and technologies and incorporate them into the computational pipeline assessment process
Excellent interpersonal, verbal and written communication skills required
Self-motivated and willing to accept temporary responsibilities outside of initial
Candidate will be working in office and controlled laboratory environment

Requirements

PhD in Computational Biology, Computer Sciences, Applied Mathematics, Applied Physics, or related
A minimum of 10 years of experience managing computational teams and building computational pipelines
Fluent in Python, R, and Java
Experience in NGS data processing, analysis, and interpretation
Experience in Linux OS, conda, pandas, numpy, OpenCV, matplotlib, scikit-learn, tensorflow, keras, docker, git, samtools, picard, GATK, and other -omics analysis packages is desired
Experience in App development and deployment
Experience in the Microsoft Azure ecosystem is desired
Experience in statistical analysis of data is desired
Cooperating with a larger team, must be able to solve a wide range of complex problems in creative and practical ways
Skilled in initiating and managing projects of complex scope, including cross-functions
A proven ability to be highly productive and successful in a high pace work environment with excellent attention to details
Competency with Microsoft Office (Word, Excel, PowerPoint)

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