Head of Scientific Data Architecture & Engineering

Boston, MA, USA

Dewpoint Therapeutics is building a highly collaborative team to harness the power of biomolecular condensates. Together, we are leveraging a transformative shift in the understanding of cellular biology to discover and advance breakthrough therapeutics for the toughest diseases

We are searching for an enthusiastic, detail-oriented, and highly motivated leader to build and to lead our software and data engineering team for biomolecular condensate-driven small molecule drug discovery (actual title will depend on qualifications of the successful candidate). This team will help advance our scientific mission by designing, developing, and supporting our cloud-based scientific software environment and infrastructure for data collection, integration and analysis. The successful candidate will collaborate with cross-department scientists and data professionals to enable the discovery and development of novel medicines. The individual will serve as the lead designer and implementer of global data and software solutions for our research, providing the company with innovative technologies and systems that will help it achieve its goals. This is a unique opportunity to build and lead an integrated software and data engineering team in a cutting-edge biotech company with a strong tech flavor

In this position you’ll be part of an energizing and supportive startup culture engaged in continuous learning, and part of an exceptional international team. This role is based at our site in Boston's Seaport district. Dewpoint offers competitive salary and benefits.

 In this role you will…

  • Establish leadership and deep technical expertise in the software and data engineering function, including recruiting and development of junior staff
  • Develop a comprehensive data architecture that matches Dewpoint’s scientific strategy and vision
  • Design, develop or buy, deploy, and support a holistic software and data system that supports complex scientific data generated via multiple platforms
  • Implement data lakes and pipes supporting the scientific organization, including architecture for ingestion, modeling, schema, metadata, quality, and validation, and ensuring data is optimized for analysis and ready for new learning models to be applied
  • Use data discovery and data mining techniques to acquire data from different internal and external data sources
  • Be responsible for the ways data is collected, modeled, and used all over the scientific organization, enabling end users to be able to discover data relevant to answer business questions quickly and in an agile manner
  • Design, implement, and support a comprehensive, cloud-based data management infrastructure that enables the strategic scientific goals of the organization
  • Integrate commercial, open-source and purpose-built components
  • Ensure structured and unstructured data can be leveraged securely across multiple platforms
  • Serve as part of the broader leadership team in setting goals, strategy, and budgets, and evaluating projects
  • Become a valuable contributor to other initiatives as they arise in our fast paced, start up environment 

To do that you will need…

  • A degree in Computer Science, Information Sciences, Engineering, Mathematics, or related field
  • At least 10 years of experience in data engineering and 5+ years supporting at least one core drug discovery scientific disciplines (chemistry, biology, and/or clinical)
  • Demonstrated impact designing and implementing scientific information systems and infrastructure in a drug or target discovery setting from the ground up in a pharma or biotech environment
  • Demonstrated experience supporting and integrating cloud-based software solutions, including electronic laboratory notebooks, laboratory information management solutions, and high-performance computing
  • Proficient working experience with standard API protocols such as REST and publish/subscribe messaging
  • Expertise in collaborating with Computer Scientists with expertise in algorithms, data structures, and software engineering, especially for applications in bioinformatics, high content screening, and small molecule drug discovery
  • Experience with a variety of machine learning techniques is a very strong plus
  • Experience with metadata management including controlled vocabulary / ontology utilization is a strong plus
  • History of independently troubleshooting and solving difficult data problems in the pharmaceutical research space
  • Experience working with external software and data engineering vendors
  • History of successfully working in a cross-functional, fast paced, and rapidly growing environment
  • Expertise in problem decomposition and solution delivery using modern software development methodologies (Agile, Lean, DevOps, Continuous Integration, Version Control, etc.)
  • Experience with supporting and integrating lab automation systems
  • Proficiency with cloud development and deployment e.g. AWS CloudFormation
  • Familiarity with a range of programming languages
  • Outstanding written and verbal communication skills
  • Ability to collaborate in a multidisciplinary and dynamic environment and experience in hiring, mentoring, and leading scientific teams
  • Ability to communicate effectively in English, the shared language of our multicultural team
About Dewpoint
 
Dewpoint Therapeutics is the first company founded to apply the emerging discipline of biomolecular condensates to drug discovery. Dewpoint believes that a vast range of conditions have pathways that are regulated by condensates or arise from the dysfunction of condensates — including cancer, neurodegeneration, and metabolic disease. Dewpoint scientists are working in Boston, MA, and Dresden and Berlin, Germany, to translate condensate biology into treatments for the toughest diseases.
 
Dewpoint strives to cultivate an inclusive international community that welcomes and empowers everyone. We reject racism, discrimination, harassment, brutality, and all other manifestations of hate. We draw strength from diversity.

Dewpoint is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apply