We're no longer accepting applications for this job, but we are still hiring! Please check out our current listings.

Job Title: Research Informatics Engineer

 

About Us:

Entact Bio is a preclinical stage biotechnology company developing a new class of drugs that enhance the function of beneficial proteins. Launched by a founding team deeply rooted in deubiquitinase (DUB) biochemistry, chemical biology, disease biology, and small-molecule drug development, Entact has designed its proprietary Encompass™ platform to create enhancement-targeting chimeric (ENTAC™) medicines. ENTACs harness the ability of DUBs to regulate proteins. By leveraging this natural cellular mechanism to enhance protein function, Entact is expanding the universe of treatable diseases. 

 

Responsibilities:

  • Design, implement and manage cloud-based compute infrastructure to support and enable Entact Bio’s research activities
  • Lead the technical design, implementation, adoption, and maintenance of ELN and reporting/analytics systems that are central to Entact Bio’s research digital infrastructure, enabling entity registration, inventory, and associated results data capture
  • Work collaboratively with the research team to establish standards and systems for structured data and metadata capture, including automated lab-based data capture
  • Define data models for foundational aspects of our research, such as entities, assays, and relationships
  • Collaborate with cross-functional teams to identify research needs, requirements, and provide guidance on data management best practices
  • Develop and maintain data engineering pipelines to ingest, process, and analyze complex scientific data from various sources, including genomic, proteomic, and clinical data
  • Keep up-to-date knowledge of emerging technologies, cloud computing and data management trends, and provide recommendations for the adoption of new tools and solutions
  • Ensure compliance with data privacy regulations, data security policies, and industry standards
  • Provide technical support, troubleshooting, and training to users of the research systems and data management platforms

 

Who You Are:

  • Data/software/informatics engineer: Demonstrated engineering expertise in implementing, integrating and maintaining compute and data systems to support and drive research
  • Growth mindset: An individual that is continually learning and willing to adapt and succeed in a dynamic environment
  • Highly technical: Strong technical skills with up-to-date knowledge of industry best-practices
  • Highly organized: Strong time management and planning skills
  • Highly collaborative: A teammate who thrives in a scientifically diverse, fast-paced, team-oriented, start-up environment

 

Qualifications:

  • D. or Master's degree in computer science, bioinformatics, or a related field. At least 5 years of experience in research informatics, cloud computing, and data management
  • Familiar with industry leading approaches to data capture, manipulation, analysis, and visualization
  • Strong programming skills in Python or R, and experience with cloud computing platforms (AWS, Google Cloud, Azure)
  • >1 year of building and implementing data models in and managing life science informatics systems
  • Demonstrated ability to lead adoption of digital tools in a research environment
  • Database experience, including knowledge of SQL and NoSQL tools
  • Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment
  • Strong written and oral communication skills

 

As a member of our diverse and growing team, you’ll help shape us into a company that takes its scientific mission seriously while providing a positive and supportive workplace environment and culture. With your insights, passion and talent – we’ll bring novel therapeutics to the patients who need them the most.

 

We are an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.